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78ec4c3780 |
@@ -27,30 +27,26 @@ jobs:
|
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cmake --install build --prefix "$PREFIX" --config Release
|
||||
|
||||
export LLAMA_CONFIG="$PREFIX"/lib/cmake/llama/llama-config.cmake
|
||||
tclsh <<'EOF'
|
||||
set build(commit) [string trim [exec git rev-parse --short HEAD]]
|
||||
set build(number) [string trim [exec git rev-list --count HEAD]]
|
||||
build_commit=$(git rev-parse --short HEAD | xargs)
|
||||
build_number=$(git rev-list --count HEAD | xargs)
|
||||
|
||||
set cmakelists [read [open "CMakeLists.txt" r]]
|
||||
regexp {set\(LLAMA_VERSION_MAJOR\s+(\d+)\)} $cmakelists -> major
|
||||
regexp {set\(LLAMA_VERSION_MINOR\s+(\d+)\)} $cmakelists -> minor
|
||||
regexp {set\(LLAMA_VERSION_PATCH\s+(\d+)\)} $cmakelists -> patch
|
||||
set build(version) "$major.$minor.$patch"
|
||||
major=$(grep -oE "set\(LLAMA_VERSION_MAJOR[[:space:]]+[0-9]+" CMakeLists.txt | grep -oE "[0-9]+$")
|
||||
minor=$(grep -oE "set\(LLAMA_VERSION_MINOR[[:space:]]+[0-9]+" CMakeLists.txt | grep -oE "[0-9]+$")
|
||||
patch=$(grep -oE "set\(LLAMA_VERSION_PATCH[[:space:]]+[0-9]+" CMakeLists.txt | grep -oE "[0-9]+$")
|
||||
build_version="$major.$minor.$patch"
|
||||
|
||||
set llamaconfig [read [open "$env(LLAMA_CONFIG)" r]]
|
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set checks [list "set\\(LLAMA_VERSION \\s+$build(version)\\)" \
|
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"set\\(LLAMA_BUILD_COMMIT\\s+$build(commit)\\)" \
|
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"set\\(LLAMA_BUILD_NUMBER\\s+$build(number)\\)"]
|
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checks=("set\(LLAMA_VERSION[[:space:]]+$build_version\)"
|
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"set\(LLAMA_BUILD_COMMIT[[:space:]]+$build_commit\)"
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"set\(LLAMA_BUILD_NUMBER[[:space:]]+$build_number\)")
|
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|
||||
puts -nonewline "Checking llama-config.cmake version... "
|
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foreach check $checks {
|
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if {![regexp -expanded -- $check $llamaconfig]} {
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puts "\"$check\" failed!"
|
||||
for check in "${checks[@]}"; do
|
||||
if ! grep -qE "$check" "$LLAMA_CONFIG"; then
|
||||
echo "Checking llama-config.cmake version... \"$check\" failed!"
|
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exit 1
|
||||
}
|
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}
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puts "success."
|
||||
EOF
|
||||
fi
|
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done
|
||||
|
||||
echo "Checking llama-config.cmake version... success."
|
||||
|
||||
cd examples/simple-cmake-pkg
|
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cmake -S . -B build -DCMAKE_PREFIX_PATH="$PREFIX"/lib/cmake
|
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|
||||
@@ -55,6 +55,20 @@ jobs:
|
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env:
|
||||
GITHUB_REPOSITORY: ${{ github.repository }}
|
||||
|
||||
- name: Create nightly-tag.txt
|
||||
id: nightly_tag_file
|
||||
run: |
|
||||
NIGHTLY_TAG="${{ steps.desc.outputs.nightly_tag }}"
|
||||
if [[ -z "${NIGHTLY_TAG}" ]]; then
|
||||
echo "Warning: no nightly tag found for the release commit - nightly-tag.txt will not be created"
|
||||
echo "create=false" >> "$GITHUB_OUTPUT"
|
||||
exit 0
|
||||
fi
|
||||
echo "${NIGHTLY_TAG}" > nightly-tag.txt
|
||||
echo "create=true" >> "$GITHUB_OUTPUT"
|
||||
echo "nightly-tag.txt:"
|
||||
cat nightly-tag.txt
|
||||
|
||||
- name: Create release
|
||||
if: ${{ github.event.inputs.dry_run == 'false' }}
|
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uses: ggml-org/action-create-release@v1
|
||||
@@ -62,26 +76,49 @@ jobs:
|
||||
GITHUB_TOKEN: ${{ github.token }}
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with:
|
||||
tag_name: ${{ steps.checks.outputs.version }}
|
||||
# TODO: remove the prerelease flag once the semantic versioning workflow is ready
|
||||
# ref: https://github.com/ggml-org/ggml/discussions/1579
|
||||
prerelease: true
|
||||
prerelease: false
|
||||
# TODO: enrich the body of the release with more information
|
||||
body: |
|
||||
> [!NOTE]
|
||||
> Semantic versioning is still work in progress.
|
||||
> More info can be found in https://github.com/ggml-org/ggml/discussions/1579
|
||||
## Overview
|
||||
|
||||
New version has been released.
|
||||
|
||||
${{ steps.desc.outputs.nightly }}
|
||||
|
||||
**Web UI:** the `nightly-tag.txt` asset contains the tag of the corresponding nightly release
|
||||
|
||||
**More info:** [dist : releases and versioning of ggml-org projects](https://github.com/ggml-org/ggml/discussions/1579)
|
||||
|
||||
## ${{ steps.desc.outputs.changelog_title }}
|
||||
|
||||
${{ steps.desc.outputs.changelog }}
|
||||
|
||||
- name: Upload nightly-tag.txt
|
||||
if: ${{ github.event.inputs.dry_run == 'false' && steps.nightly_tag_file.outputs.create == 'true' }}
|
||||
uses: actions/github-script@v8
|
||||
with:
|
||||
github-token: ${{secrets.GITHUB_TOKEN}}
|
||||
script: |
|
||||
const fs = require('fs');
|
||||
const release_id = '${{ steps.create_release.outputs.id }}';
|
||||
console.log('uploadReleaseAsset', 'nightly-tag.txt');
|
||||
await github.rest.repos.uploadReleaseAsset({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
release_id: release_id,
|
||||
name: 'nightly-tag.txt',
|
||||
data: await fs.readFileSync('./nightly-tag.txt')
|
||||
});
|
||||
|
||||
- name: Dry run summary
|
||||
if: ${{ github.event.inputs.dry_run == 'true' }}
|
||||
run: |
|
||||
if [[ "${{ steps.checks.outputs.checks_passed }}" == "true" ]]; then
|
||||
echo "Dry run complete - all checks passed."
|
||||
echo "Would have created tag: ${{ steps.checks.outputs.version }}"
|
||||
if [[ -n "${{ steps.desc.outputs.nightly_tag }}" ]]; then
|
||||
echo "Would have uploaded nightly-tag.txt: ${{ steps.desc.outputs.nightly_tag }}"
|
||||
fi
|
||||
else
|
||||
echo "::error::Dry run found release check failures. A release tag would not be created."
|
||||
exit 1
|
||||
|
||||
@@ -1688,6 +1688,7 @@ jobs:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
with:
|
||||
tag_name: ${{ steps.tag.outputs.name }}
|
||||
prerelease: true
|
||||
body: |
|
||||
<details open>
|
||||
|
||||
|
||||
@@ -2595,6 +2595,26 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
|
||||
params.mmproj_use_gpu = value;
|
||||
}
|
||||
).set_examples(mmproj_examples).set_env("LLAMA_ARG_MMPROJ_OFFLOAD"));
|
||||
add_opt(common_arg(
|
||||
// note: "-mmdev" must sort after "--rpc" in the preset map, else RPC devices are not registered yet
|
||||
{"-mmdev", "--mmproj-device"}, "DEVICE",
|
||||
"device to use for multimodal projector (none = don't offload, default: auto)\n"
|
||||
"use --list-devices to see a list of available devices",
|
||||
[](common_params & params, const std::string & value) {
|
||||
if (value == "none") {
|
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params.mmproj_use_gpu = false;
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params.mmproj_device = nullptr;
|
||||
return;
|
||||
}
|
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auto devices = parse_device_list(value);
|
||||
// parse_device_list pushes nullptr at back so devices is length 2 for single device.
|
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if (devices.size() > 2) {
|
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throw std::invalid_argument("only one device may be specified for mmproj");
|
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}
|
||||
params.mmproj_use_gpu = true;
|
||||
params.mmproj_device = devices.front();
|
||||
}
|
||||
).set_examples(mmproj_examples).set_env("MTMD_BACKEND_DEVICE")); // no LLAMA_ARG_ prefix for backward compatibility reason
|
||||
add_opt(common_arg(
|
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{"--image", "--audio", "--video"}, "FILE",
|
||||
"path to an image, audio, or video file. use with multimodal models, use comma-separated values for multiple files\n",
|
||||
|
||||
@@ -1294,11 +1294,34 @@ common_init_result::common_init_result(common_params & params, bool model_only)
|
||||
if (params.fit_params) {
|
||||
COM_TRC("%s", "fitting params to device memory ...\n");
|
||||
COM_TRC("%s", "(for bugs during this step try to reproduce them with -fit off, or provide --verbose logs if the bug only occurs with -fit on)\n");
|
||||
|
||||
// the draft context is created from the same base params and follows the main context, fit both together
|
||||
const bool has_draft = params.speculative.has_dft();
|
||||
const bool spec_mtp = std::find(params.speculative.types.begin(), params.speculative.types.end(),
|
||||
COMMON_SPECULATIVE_TYPE_DRAFT_MTP) != params.speculative.types.end();
|
||||
|
||||
common_params params_dft = common_base_params_to_speculative(params);
|
||||
|
||||
auto mparams_dft = common_model_params_to_llama(params_dft);
|
||||
auto cparams_dft = common_context_params_to_llama(params_dft);
|
||||
if (spec_mtp) {
|
||||
cparams_dft.ctx_type = LLAMA_CONTEXT_TYPE_MTP;
|
||||
}
|
||||
cparams_dft.n_rs_seq = 0;
|
||||
|
||||
const common_fit_extra_model extra = {
|
||||
/*.path_model =*/ params_dft.model.path.c_str(),
|
||||
/*.mparams =*/ &mparams_dft,
|
||||
/*.cparams =*/ &cparams_dft,
|
||||
/*.shares_model =*/ !has_draft, // an MTP context runs on the weights of the main model
|
||||
};
|
||||
|
||||
common_fit_params(params.model.path.c_str(), &mparams, &cparams,
|
||||
params.tensor_split,
|
||||
params.tensor_buft_overrides.data(),
|
||||
params.fit_params_target.data(),
|
||||
params.fit_params_min_ctx,
|
||||
has_draft || spec_mtp ? &extra : nullptr,
|
||||
params.verbosity >= LOG_LEVEL_DEBUG ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR);
|
||||
}
|
||||
|
||||
|
||||
+4
-3
@@ -581,9 +581,10 @@ struct common_params {
|
||||
|
||||
// multimodal models (see tools/mtmd)
|
||||
struct common_params_model mmproj;
|
||||
bool mmproj_use_gpu = true; // use GPU for multimodal model
|
||||
bool no_mmproj = false; // explicitly disable multimodal model
|
||||
std::vector<std::string> image; // path to image file(s) ; TODO: change the name to "media"
|
||||
bool mmproj_use_gpu = true; // use GPU for multimodal model
|
||||
ggml_backend_dev_t mmproj_device = nullptr; // GPU device to use for multimodal model
|
||||
bool no_mmproj = false; // explicitly disable multimodal model
|
||||
std::vector<std::string> image; // path to image file(s) ; TODO: change the name to "media"
|
||||
int image_min_tokens = -1;
|
||||
int image_max_tokens = -1;
|
||||
int mtmd_batch_max_tokens = 1024;
|
||||
|
||||
+105
-17
@@ -178,7 +178,7 @@ common_device_memory_data_vec common_get_device_memory_data(
|
||||
static void common_params_fit_impl(
|
||||
const char * path_model, struct llama_model_params * mparams, struct llama_context_params * cparams,
|
||||
float * tensor_split, struct llama_model_tensor_buft_override * tensor_buft_overrides,
|
||||
size_t * margins_s, uint32_t n_ctx_min, enum ggml_log_level log_level) {
|
||||
size_t * margins_s, uint32_t n_ctx_min, const common_fit_extra_model * extra, enum ggml_log_level log_level) {
|
||||
if (mparams->split_mode == LLAMA_SPLIT_MODE_TENSOR) {
|
||||
throw common_params_fit_exception("llama_params_fit is not implemented for SPLIT_MODE_TENSOR, abort");
|
||||
}
|
||||
@@ -191,10 +191,92 @@ static void common_params_fit_impl(
|
||||
uint32_t hp_nct = 0; // hparams.n_ctx_train
|
||||
uint32_t hp_nex = 0; // hparams.n_expert
|
||||
|
||||
// with non-unified kv, we need to take into account n_streams
|
||||
// for example, if memory can hold more than model's trained context size, we must extend the n_ctx to hold enough n_streams
|
||||
const uint32_t n_streams = cparams->kv_unified ? 1 : std::max<uint32_t>(1, cparams->n_seq_max);
|
||||
const bool n_ctx_auto = cparams->n_ctx == 0;
|
||||
|
||||
dmds_t dmds_extra; // memory of the extra model, laid out on the devices of the main model
|
||||
uint32_t n_ctx_extra = 0; // context that memory was measured at
|
||||
|
||||
// the extra model competes for the same memory as the main model, add it to every measurement
|
||||
// its memory is measured again whenever the context it follows changes
|
||||
auto add_extra_memory = [&](dmds_t & dmds) {
|
||||
if (extra == nullptr) {
|
||||
return;
|
||||
}
|
||||
|
||||
if (dmds_extra.empty() || n_ctx_extra != cparams->n_ctx) {
|
||||
std::vector<ggml_backend_dev_t> devs_extra;
|
||||
uint32_t ngl_extra = 0;
|
||||
uint32_t nct_extra = 0;
|
||||
uint32_t nex_extra = 0;
|
||||
|
||||
extra->cparams->n_ctx = cparams->n_ctx;
|
||||
|
||||
LOG_TRC("%s: getting device memory data for the extra model at a context size of %" PRIu32 ":\n",
|
||||
__func__, cparams->n_ctx);
|
||||
|
||||
dmds_t measured;
|
||||
try {
|
||||
measured = common_get_device_memory_data_impl(
|
||||
extra->path_model, extra->mparams, extra->cparams, devs_extra, ngl_extra, nct_extra, nex_extra, log_level);
|
||||
} catch (const std::runtime_error & e) {
|
||||
// the extra model is optional, fit the main model alone rather than giving up
|
||||
LOG_WRN("%s: failed to measure the memory of the extra model, fitting without it: %s\n", __func__, e.what());
|
||||
dmds_extra = dmds_t(devs.size() + 1);
|
||||
n_ctx_extra = cparams->n_ctx;
|
||||
return;
|
||||
}
|
||||
|
||||
dmds_extra = dmds_t(devs.size() + 1);
|
||||
dmds_extra.back().mb = measured.back().mb;
|
||||
for (size_t je = 0; je < devs_extra.size(); je++) {
|
||||
for (size_t id = 0; id < devs.size(); id++) {
|
||||
if (devs_extra[je] == devs[id]) {
|
||||
dmds_extra[id].mb.model += measured[je].mb.model;
|
||||
dmds_extra[id].mb.context += measured[je].mb.context;
|
||||
dmds_extra[id].mb.compute += measured[je].mb.compute;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
if (extra->shares_model) {
|
||||
for (llama_device_memory_data & dmd : dmds_extra) {
|
||||
dmd.mb.model = 0;
|
||||
}
|
||||
}
|
||||
|
||||
n_ctx_extra = cparams->n_ctx;
|
||||
}
|
||||
|
||||
for (size_t id = 0; id < dmds.size(); id++) {
|
||||
dmds[id].mb.model += dmds_extra[id].mb.model;
|
||||
dmds[id].mb.context += dmds_extra[id].mb.context;
|
||||
dmds[id].mb.compute += dmds_extra[id].mb.compute;
|
||||
}
|
||||
};
|
||||
|
||||
// step 1: get data for default parameters and check whether any changes are necessary in the first place
|
||||
|
||||
LOG_TRC("%s: getting device memory data for initial parameters:\n", __func__);
|
||||
const dmds_t dmds_full = common_get_device_memory_data_impl(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
|
||||
dmds_t dmds_full = common_get_device_memory_data_impl(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
|
||||
|
||||
// saturate instead of overflowing, this also preserves the UINT32_MAX sentinel of n_ctx_min:
|
||||
const uint32_t n_ctx_max = (uint32_t) std::min<uint64_t>(uint64_t(hp_nct) * n_streams, UINT32_MAX);
|
||||
const uint32_t n_ctx_min_total = (uint32_t) std::min<uint64_t>(uint64_t(n_ctx_min) * n_streams, UINT32_MAX);
|
||||
|
||||
// llama_context would use only hp_nct in total for n_ctx == 0, resolve the context before measuring anything else:
|
||||
if (n_ctx_auto) {
|
||||
cparams->n_ctx = n_ctx_max;
|
||||
if (n_streams > 1) {
|
||||
LOG_TRC("%s: context size unset and KV cache not unified -> using %" PRIu32 " for %" PRIu32 " sequences:\n",
|
||||
__func__, n_ctx_max, n_streams);
|
||||
dmds_full = common_get_device_memory_data_impl(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
|
||||
}
|
||||
}
|
||||
add_extra_memory(dmds_full);
|
||||
|
||||
const size_t nd = devs.size(); // number of devices
|
||||
|
||||
std::vector<int64_t> margins; // this function uses int64_t rather than size_t for memory sizes to more conveniently handle deficits
|
||||
@@ -307,8 +389,8 @@ static void common_params_fit_impl(
|
||||
"%s: cannot meet free memory targets on all devices, need to use %" PRId64 " MiB less in total\n",
|
||||
__func__, -global_surplus/MiB);
|
||||
}
|
||||
if (cparams->n_ctx == 0) {
|
||||
if (hp_nct > n_ctx_min) {
|
||||
if (n_ctx_auto) {
|
||||
if (n_ctx_max > n_ctx_min_total) {
|
||||
int64_t sum_used_target = sum_free;
|
||||
if (nd == 0) {
|
||||
sum_used_target -= margins[0];
|
||||
@@ -328,8 +410,9 @@ static void common_params_fit_impl(
|
||||
}
|
||||
|
||||
int64_t sum_projected_used_min_ctx = 0;
|
||||
cparams->n_ctx = n_ctx_min;
|
||||
const dmds_t dmds_min_ctx = common_get_device_memory_data_impl(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
|
||||
cparams->n_ctx = n_ctx_min_total;
|
||||
dmds_t dmds_min_ctx = common_get_device_memory_data_impl(path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
|
||||
add_extra_memory(dmds_min_ctx);
|
||||
if (nd == 0) {
|
||||
sum_projected_used_min_ctx = dmds_min_ctx.back().mb.total();
|
||||
} else {
|
||||
@@ -339,14 +422,16 @@ static void common_params_fit_impl(
|
||||
}
|
||||
if (sum_used_target > sum_projected_used_min_ctx) {
|
||||
// linear interpolation between minimum and maximum context size:
|
||||
cparams->n_ctx += (hp_nct - n_ctx_min) * (sum_used_target - sum_projected_used_min_ctx)
|
||||
cparams->n_ctx += (n_ctx_max - n_ctx_min_total) * (sum_used_target - sum_projected_used_min_ctx)
|
||||
/ (sum_projected_used - sum_projected_used_min_ctx);
|
||||
cparams->n_ctx = std::max(cparams->n_ctx - cparams->n_ctx % 256, n_ctx_min); // round down context for CUDA backend
|
||||
// round down context for CUDA backend, keep it divisible by the number of streams:
|
||||
const uint32_t align = 256 * n_streams;
|
||||
cparams->n_ctx = std::max(cparams->n_ctx - cparams->n_ctx % align, n_ctx_min_total);
|
||||
|
||||
const int64_t bytes_per_ctx = (sum_projected_used - sum_projected_used_min_ctx) / (hp_nct - n_ctx_min);
|
||||
const int64_t memory_reduction = (hp_nct - cparams->n_ctx) * bytes_per_ctx;
|
||||
const int64_t bytes_per_ctx = (sum_projected_used - sum_projected_used_min_ctx) / (n_ctx_max - n_ctx_min_total);
|
||||
const int64_t memory_reduction = (n_ctx_max - cparams->n_ctx) * bytes_per_ctx;
|
||||
LOG_TRC("%s: context size reduced from %" PRIu32 " to %" PRIu32 " -> need %" PRId64 " MiB less memory in total\n",
|
||||
__func__, hp_nct, cparams->n_ctx, memory_reduction/MiB);
|
||||
__func__, n_ctx_max, cparams->n_ctx, memory_reduction/MiB);
|
||||
if (nd <= 1) {
|
||||
LOG_TRC("%s: entire model can be fit by reducing context\n", __func__);
|
||||
return;
|
||||
@@ -355,14 +440,14 @@ static void common_params_fit_impl(
|
||||
} else {
|
||||
const int64_t memory_reduction = sum_projected_used - sum_projected_used_min_ctx;
|
||||
LOG_TRC("%s: context size reduced from %" PRIu32 " to %" PRIu32 " -> need %" PRId64 " MiB less memory in total\n",
|
||||
__func__, hp_nct, cparams->n_ctx, memory_reduction/MiB);
|
||||
__func__, n_ctx_max, cparams->n_ctx, memory_reduction/MiB);
|
||||
}
|
||||
} else {
|
||||
if (n_ctx_min == UINT32_MAX) {
|
||||
LOG_TRC("%s: user has requested full context size of %" PRIu32 " -> no change\n", __func__, hp_nct);
|
||||
LOG_TRC("%s: user has requested full context size of %" PRIu32 " -> no change\n", __func__, n_ctx_max);
|
||||
} else {
|
||||
LOG_TRC("%s: default model context size is %" PRIu32 " which is <= the min. context size of %" PRIu32 " -> no change\n",
|
||||
__func__, hp_nct, n_ctx_min);
|
||||
__func__, n_ctx_max, n_ctx_min_total);
|
||||
}
|
||||
}
|
||||
} else {
|
||||
@@ -507,8 +592,9 @@ static void common_params_fit_impl(
|
||||
llama_model_params mparams_copy = *mparams;
|
||||
set_ngl_tensor_split_tbo(ngl_per_device, overflow_bufts, mparams_copy);
|
||||
|
||||
const dmds_t dmd_nl = common_get_device_memory_data_impl(
|
||||
dmds_t dmd_nl = common_get_device_memory_data_impl(
|
||||
path_model, &mparams_copy, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
|
||||
add_extra_memory(dmd_nl);
|
||||
|
||||
LOG_TRC("%s: memory for test allocation by device:\n", func_name);
|
||||
for (size_t id = 0; id < nd; id++) {
|
||||
@@ -535,8 +621,9 @@ static void common_params_fit_impl(
|
||||
mparams->tensor_buft_overrides = tensor_buft_overrides;
|
||||
|
||||
LOG_TRC("%s: getting device memory data with all MoE tensors moved to system memory:\n", __func__);
|
||||
const dmds_t dmds_cpu_moe = common_get_device_memory_data_impl(
|
||||
dmds_t dmds_cpu_moe = common_get_device_memory_data_impl(
|
||||
path_model, mparams, cparams, devs, hp_ngl, hp_nct, hp_nex, log_level);
|
||||
add_extra_memory(dmds_cpu_moe);
|
||||
|
||||
for (size_t id = 0; id < nd; id++) {
|
||||
global_surplus_cpu_moe += dmds_cpu_moe[id].free;
|
||||
@@ -796,11 +883,12 @@ enum common_params_fit_status common_fit_params(
|
||||
llama_model_tensor_buft_override * tensor_buft_overrides,
|
||||
size_t * margins,
|
||||
uint32_t n_ctx_min,
|
||||
const common_fit_extra_model * extra,
|
||||
ggml_log_level log_level) {
|
||||
const int64_t t0_us = llama_time_us();
|
||||
common_params_fit_status status = COMMON_PARAMS_FIT_STATUS_SUCCESS;
|
||||
try {
|
||||
common_params_fit_impl(path_model, mparams, cparams, tensor_split, tensor_buft_overrides, margins, n_ctx_min, log_level);
|
||||
common_params_fit_impl(path_model, mparams, cparams, tensor_split, tensor_buft_overrides, margins, n_ctx_min, extra, log_level);
|
||||
LOG_TRC("%s: successfully fit params to free device memory\n", __func__);
|
||||
} catch (const common_params_fit_exception & e) {
|
||||
LOG_WRN("%s: failed to fit params to free device memory: %s\n", __func__, e.what());
|
||||
|
||||
@@ -11,6 +11,16 @@ enum common_params_fit_status {
|
||||
COMMON_PARAMS_FIT_STATUS_ERROR = 2, // a hard error occurred, e.g. because no model could be found at the specified path
|
||||
};
|
||||
|
||||
// a second model that shares the devices of the main model, e.g. a draft model
|
||||
// - its context follows the context of the main model, so its memory is measured again whenever that context changes
|
||||
// - shares_model tells the fit that the weights are already counted in the main model, as for an MTP context
|
||||
struct common_fit_extra_model {
|
||||
const char * path_model;
|
||||
llama_model_params * mparams;
|
||||
llama_context_params * cparams;
|
||||
bool shares_model;
|
||||
};
|
||||
|
||||
// fits mparams and cparams to free device memory (assumes system memory is unlimited)
|
||||
// - returns true if the parameters could be successfully modified to fit device memory
|
||||
// - this function is NOT thread safe because it modifies the global llama logger state
|
||||
@@ -24,6 +34,7 @@ common_params_fit_status common_fit_params(
|
||||
llama_model_tensor_buft_override * tensor_buft_overrides, // writable buffer for overrides, needs at least llama_max_tensor_buft_overrides elements
|
||||
size_t * margins, // margins of memory to leave per device in bytes
|
||||
uint32_t n_ctx_min, // minimum context size to set when trying to reduce memory use
|
||||
const common_fit_extra_model * extra, // model to fit alongside the main one, nullptr if there is none
|
||||
ggml_log_level log_level); // minimum log level to print during fitting, lower levels go to debug log
|
||||
|
||||
// print estimated memory to stdout
|
||||
|
||||
@@ -2385,6 +2385,9 @@ common_speculative_init_result::common_speculative_init_result(
|
||||
cparams.ctx_type = LLAMA_CONTEXT_TYPE_MTP;
|
||||
}
|
||||
|
||||
// the draft context holds as many tokens per sequence as the target context
|
||||
cparams.n_ctx = llama_n_ctx(ctx_tgt);
|
||||
|
||||
// note: for small models maybe we can set this to the maximum possible draft from all speculative types
|
||||
// the extra memory for small models is likely negligible?
|
||||
cparams.n_rs_seq = 0;
|
||||
|
||||
@@ -57,6 +57,7 @@ TEXT_MODEL_MAP: dict[str, str] = {
|
||||
"Qwen3DSparkModel": "qwen",
|
||||
"DSparkDraftModel": "qwen",
|
||||
"DSparkSpeculator": "qwen",
|
||||
"Lfm2DSparkDraftModel": "qwen",
|
||||
"DeepseekV4ForCausalLM": "deepseek",
|
||||
"DeepseekV4DSparkModel": "deepseek",
|
||||
"DistilBertForMaskedLM": "bert",
|
||||
|
||||
+14
-1
@@ -709,7 +709,7 @@ class DFlashModel(Qwen3Model):
|
||||
yield from super().modify_tensors(data_torch, name, bid)
|
||||
|
||||
|
||||
@ModelBase.register("Qwen3DSparkModel", "DSparkDraftModel", "DSparkSpeculator")
|
||||
@ModelBase.register("Qwen3DSparkModel", "DSparkDraftModel", "DSparkSpeculator", "Lfm2DSparkDraftModel")
|
||||
@ModelBase.example("satgeze/Qwen3.6-27B-DSpark")
|
||||
class DSparkModel(DFlashModel):
|
||||
# DSpark = DFlash + a semi-autoregressive Markov head.
|
||||
@@ -759,6 +759,13 @@ class DSparkModel(DFlashModel):
|
||||
return None
|
||||
return super().filter_tensors(item)
|
||||
|
||||
_ROPE_PERMUTE_SUFFIXES = (
|
||||
"self_attn.q_proj.weight",
|
||||
"self_attn.k_proj.weight",
|
||||
"self_attn.q_norm.weight",
|
||||
"self_attn.k_norm.weight",
|
||||
)
|
||||
|
||||
def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
|
||||
if name == "model.d2t":
|
||||
self._d2t = data_torch
|
||||
@@ -767,6 +774,12 @@ class DSparkModel(DFlashModel):
|
||||
if self._n_vocab_draft == self.hparams["vocab_size"] and name.endswith(("embed_tokens.weight", "lm_head.weight")):
|
||||
return
|
||||
|
||||
# interleaved-rope checkpoints (rope_is_neox_style = false) -> NeoX layout: per head, even dims first then odd
|
||||
if not self.hparams.get("rope_is_neox_style", True) and name.endswith(self._ROPE_PERMUTE_SUFFIXES):
|
||||
head_dim = self.hparams["head_dim"]
|
||||
shape = data_torch.shape
|
||||
data_torch = data_torch.reshape(-1, head_dim // 2, 2, *shape[1:]).transpose(1, 2).reshape(shape)
|
||||
|
||||
yield from super().modify_tensors(data_torch, name, bid)
|
||||
|
||||
def prepare_tensors(self):
|
||||
|
||||
+4
-4
@@ -116,7 +116,7 @@ in inline assembler.
|
||||
Most kernels are very naive with lots of low hanging fruits left:
|
||||
|
||||
> [!IMPORTANT]
|
||||
> Several assembly instructions emmited by the compiler are not implemented
|
||||
> Several assembly instructions emitted by the compiler are not implemented
|
||||
> in hardware and software emulation in firmware is not ready yet.
|
||||
> Eventually firmware will transparently trap unimplemented instructions
|
||||
> and will emulate them inside exception handler. Until then, kernel
|
||||
@@ -138,12 +138,12 @@ Most kernels are very naive with lots of low hanging fruits left:
|
||||
> kernel build process. Feel free to take ideas/code from there or try linking
|
||||
> it in.
|
||||
|
||||
Before commiting any changes to operations and/or kernels, don't forget
|
||||
Before committing any changes to operations and/or kernels, don't forget
|
||||
to update supported ops reports (instructions at `docs/ops.md`).
|
||||
|
||||
When logging is enabled (e.g. by setting `--log-file` cli param),
|
||||
each compute kernel run outputs a line with
|
||||
pipe-delimited key-value pairs containing kernel level performance infomation.
|
||||
pipe-delimited key-value pairs containing kernel level performance information.
|
||||
Line is prefixed with `ET_PERF`:
|
||||
|
||||
```
|
||||
@@ -160,7 +160,7 @@ to `GGML_ET_PROFILE/et_runtime_trace.json` and `GGML_ET_PROFILE/kernel_map` on e
|
||||
|
||||
### Uberkernel
|
||||
|
||||
The in-knernel implementaiton of device dispatch/kernel fusion. The ET SDK has a non-trivial op-to-op gap. `Uberkernel` (name taken from the original Esperanto AI's compiler)
|
||||
The in-kernel implementation of device dispatch/kernel fusion. The ET SDK has a non-trivial op-to-op gap. `Uberkernel` (name taken from the original Esperanto AI's compiler)
|
||||
dispatches multiple already existing kernel implementations with device side synchronization. Due to the processor's design, there is no natural memory visibility
|
||||
horizon between sub-kernel invocations. This makes uberkernel much more difficult to develop and debug. Currently Uberkerel is hidden begind the
|
||||
`GGML_ET_UBERKERNEL` environment variable and is disabled by default. Setting it to 1 enables it and provides significant performance improvements but is only
|
||||
|
||||
@@ -639,6 +639,7 @@ function(ggml_add_cpu_backend_variant_impl tag_name)
|
||||
${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_fp32_bf16p_bf16p/
|
||||
${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f16p_qsi4c32p/
|
||||
${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f32p_f32p/
|
||||
${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f32_f32p/
|
||||
${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/)
|
||||
|
||||
set(ARCH_FLAGS_TEMP "${ARCH_FLAGS}")
|
||||
@@ -701,6 +702,8 @@ function(ggml_add_cpu_backend_variant_impl tag_name)
|
||||
${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f16p_qsi4c32p/kai_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa_asm.S
|
||||
${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f32p_f32p/kai_matmul_clamp_f32_f32p2vlx1_f32p2vlx1biasf32_sme2_mopa.c
|
||||
${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f32p_f32p/kai_matmul_clamp_f32_f32p2vlx1_f32p2vlx1biasf32_sme2_mopa_asm.S
|
||||
${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f32_f32p/kai_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla.c
|
||||
${KLEIDIAI_SRC}/kai/ukernels/matmul/matmul_clamp_f32_f32_f32p/kai_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla_asm.S
|
||||
${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_lhs_pack_bf16p2vlx2_f32_sme.c
|
||||
${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_rhs_pack_kxn_bf16p2vlx2b_f32_x32_sme.c
|
||||
${KLEIDIAI_SRC}/kai/ukernels/matmul/pack/kai_lhs_pack_f16pmrx2_f32_neon.c
|
||||
@@ -737,8 +740,9 @@ function(ggml_add_cpu_backend_variant_impl tag_name)
|
||||
set_target_properties(${GGML_CPU_NAME} PROPERTIES COMPILE_FLAGS "-msimd128")
|
||||
endif()
|
||||
|
||||
if (CMAKE_CXX_COMPILER_ID STREQUAL "IntelLLVM")
|
||||
# The compiler automatically enables "-ffast-math" which can cause NaNs in tests due to "-fassociative-math"
|
||||
target_compile_options(${GGML_CPU_NAME} PRIVATE "-fno-associative-math")
|
||||
endif()
|
||||
if (CMAKE_C_COMPILER_ID STREQUAL "IntelLLVM" OR CMAKE_CXX_COMPILER_ID STREQUAL "IntelLLVM")
|
||||
# The compiler automatically enables "-ffast-math" which can cause NaNs in tests due to "-fassociative-math"
|
||||
target_compile_options(${GGML_CPU_NAME} PRIVATE "$<$<OR:$<COMPILE_LANG_AND_ID:C,IntelLLVM>,$<COMPILE_LANG_AND_ID:CXX,IntelLLVM>>:$<$<BOOL:${WIN32}>:/clang:>-fno-associative-math>")
|
||||
endif()
|
||||
|
||||
endfunction()
|
||||
|
||||
@@ -23,6 +23,7 @@
|
||||
#include "kai_matmul_clamp_f32_qsi8d32p1x8_qsi4c32p8x8_1x8_sve_dotprod.h"
|
||||
#include "kai_matmul_clamp_f32_f16p1vlx2_qsi4c32p4vlx2_1vlx4vl_sme2_mopa.h"
|
||||
#include "kai_matmul_clamp_f32_f32p2vlx1_f32p2vlx1biasf32_sme2_mopa.h"
|
||||
#include "kai_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla.h"
|
||||
#include "kai_matmul_clamp_f32_f32p2vlx1_f32p2vlx1b_2vlx2vl_sme_mopa.h"
|
||||
|
||||
#include "kai_lhs_pack_bf16p2vlx2_f32_sme.h"
|
||||
@@ -76,6 +77,21 @@ static inline void kernel_run_fn10(size_t m, size_t n, size_t k, size_t /*bl*/,
|
||||
Fn(m, n, k, lhs, rhs, dst, dst_stride_row, dst_stride_col, clamp_min, clamp_max);
|
||||
}
|
||||
|
||||
template <void (*Fn)(size_t, size_t, size_t, const void *, size_t, const void *, void *, size_t, size_t, float, float)>
|
||||
static inline void kernel_run_lhs_stride_fn10(size_t m,
|
||||
size_t n,
|
||||
size_t k,
|
||||
size_t lhs_stride,
|
||||
const void * lhs,
|
||||
const void * rhs,
|
||||
void * dst,
|
||||
size_t dst_stride_row,
|
||||
size_t dst_stride_col,
|
||||
float clamp_min,
|
||||
float clamp_max) {
|
||||
Fn(m, n, k, lhs, lhs_stride, rhs, dst, dst_stride_row, dst_stride_col, clamp_min, clamp_max);
|
||||
}
|
||||
|
||||
template<void(*Fn)(size_t,size_t,size_t,const void*,const void*,float*,size_t,size_t,float,float)>
|
||||
static inline void kernel_run_float_fn10(size_t m, size_t n, size_t k, size_t /*bl*/,
|
||||
const void* lhs, const void* rhs, void* dst,
|
||||
@@ -947,25 +963,25 @@ static ggml_kleidiai_kernels ggml_kleidiai_kernels_f32[] = {
|
||||
/* .packed_size_ex = */ &lhs_ps_fn5<kai_get_lhs_packed_size_lhs_pack_f32p2vlx1_f32_sme>,
|
||||
/* .pack_func_ex = */ &lhs_pack_void_fn9<kai_run_lhs_pack_f32p2vlx1_f32_sme>,
|
||||
},
|
||||
/* SME GEMV */
|
||||
/* SME2 GEMV */
|
||||
{
|
||||
/* .get_m_step = */ kai_get_m_step_matmul_clamp_f32_f32p2vlx1_f32p2vlx1biasf32_sme2_mopa,
|
||||
/* .get_n_step = */ kai_get_n_step_matmul_clamp_f32_f32p2vlx1_f32p2vlx1biasf32_sme2_mopa,
|
||||
/* .get_mr = */ kai_get_mr_matmul_clamp_f32_f32p2vlx1_f32p2vlx1biasf32_sme2_mopa,
|
||||
/* .get_nr = */ kai_get_nr_matmul_clamp_f32_f32p2vlx1_f32p2vlx1biasf32_sme2_mopa,
|
||||
/* .get_kr = */ kai_get_kr_matmul_clamp_f32_f32p2vlx1_f32p2vlx1biasf32_sme2_mopa,
|
||||
/* .get_sr = */ kai_get_sr_matmul_clamp_f32_f32p2vlx1_f32p2vlx1biasf32_sme2_mopa,
|
||||
/* .get_dst_offset = */ kai_get_dst_offset_matmul_clamp_f32_f32p2vlx1_f32p2vlx1biasf32_sme2_mopa,
|
||||
/* .get_dst_size = */ kai_get_dst_size_matmul_clamp_f32_f32p2vlx1_f32p2vlx1biasf32_sme2_mopa,
|
||||
/* .get_lhs_offset_ex = */ nullptr,
|
||||
/* .get_rhs_packed_offset_ex = */ nullptr,
|
||||
/* .run_kernel_ex = */ nullptr,
|
||||
/* .get_m_step = */ kai_get_m_step_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla,
|
||||
/* .get_n_step = */ kai_get_n_step_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla,
|
||||
/* .get_mr = */ kai_get_m_step_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla,
|
||||
/* .get_nr = */ kai_get_nr_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla,
|
||||
/* .get_kr = */ kai_get_kr_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla,
|
||||
/* .get_sr = */ kai_get_sr_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla,
|
||||
/* .get_dst_offset = */ kai_get_dst_offset_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla,
|
||||
/* .get_dst_size = */ kai_get_dst_size_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla,
|
||||
/* .get_lhs_offset_ex = */ &kernel_offs_fn2<kai_get_lhs_offset_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla>,
|
||||
/* .get_rhs_packed_offset_ex = */ &kernel_offs_fn2<kai_get_rhs_packed_offset_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla>,
|
||||
/* .run_kernel_ex = */ &kernel_run_lhs_stride_fn10<kai_run_matmul_clamp_f32_f32_f32p2vlx1b_1x16vl_sme2_mla>,
|
||||
},
|
||||
/* .gemv_lhs_info = */ {
|
||||
/* .get_offset = */ kai_get_lhs_offset_lhs_pack_f32p2vlx1_f32_sme,
|
||||
/* .get_packed_offset_ex = */ &lhs_offs_fn5<kai_get_lhs_packed_offset_lhs_pack_f32p2vlx1_f32_sme>,
|
||||
/* .packed_size_ex = */ &lhs_ps_fn5<kai_get_lhs_packed_size_lhs_pack_f32p2vlx1_f32_sme>,
|
||||
/* .pack_func_ex = */ &lhs_pack_void_fn9<kai_run_lhs_pack_f32p2vlx1_f32_sme>,
|
||||
/* .get_offset = */ nullptr,
|
||||
/* .get_packed_offset_ex = */ nullptr,
|
||||
/* .packed_size_ex = */ nullptr,
|
||||
/* .pack_func_ex = */ nullptr,
|
||||
},
|
||||
/* .rhs_info = */ {
|
||||
/* .packed_stride = */ nullptr,
|
||||
|
||||
@@ -696,6 +696,15 @@ class tensor_traits : public ggml::cpu::tensor_traits {
|
||||
}
|
||||
|
||||
if (op->src[0]->type == GGML_TYPE_F32) {
|
||||
ggml_kleidiai_kernels * primary = kernel_chain[0];
|
||||
kernel_info * gemv_kernel = primary ? &primary->gemv : nullptr;
|
||||
if (is_gemv && op->src[1]->nb[0] == (int64_t) sizeof(float) && gemv_kernel &&
|
||||
gemv_kernel->get_lhs_offset_ex && gemv_kernel->get_rhs_packed_offset_ex &&
|
||||
gemv_kernel->run_kernel_ex && gemv_kernel->get_dst_offset) {
|
||||
size = 0;
|
||||
return true;
|
||||
}
|
||||
|
||||
size_t cursor = 0;
|
||||
bool any_slot = false;
|
||||
|
||||
@@ -811,15 +820,28 @@ class tensor_traits : public ggml::cpu::tensor_traits {
|
||||
return false;
|
||||
}
|
||||
|
||||
kernel_info * kernel = &kernels->gemm;
|
||||
const size_t k = ne00;
|
||||
const size_t m = ne11;
|
||||
const size_t n = ne01;
|
||||
const bool use_gemv = m == 1 && src1->nb[0] == (int64_t) sizeof(float) &&
|
||||
kernels->gemv.get_lhs_offset_ex &&
|
||||
kernels->gemv.get_rhs_packed_offset_ex &&
|
||||
kernels->gemv.run_kernel_ex &&
|
||||
kernels->gemv.get_dst_offset;
|
||||
|
||||
kernel_info * kernel = use_gemv ? &kernels->gemv : &kernels->gemm;
|
||||
lhs_packing_info * lhs_info = &kernels->gemm_lhs_info;
|
||||
|
||||
if (!kernel || !lhs_info || !lhs_info->get_offset || !lhs_info->get_packed_offset_ex ||
|
||||
!lhs_info->packed_size_ex || !lhs_info->pack_func_ex ||
|
||||
if (!kernel || !kernel->get_lhs_offset_ex ||
|
||||
!kernel->get_rhs_packed_offset_ex || !kernel->run_kernel_ex || !kernel->get_dst_offset) {
|
||||
return false;
|
||||
}
|
||||
|
||||
if (!use_gemv && (!lhs_info || !lhs_info->get_offset || !lhs_info->get_packed_offset_ex ||
|
||||
!lhs_info->packed_size_ex || !lhs_info->pack_func_ex)) {
|
||||
return false;
|
||||
}
|
||||
|
||||
const kleidiai_weight_header * header = kleidiai_weight_header_from_ptr(src0->data);
|
||||
const bool has_header = kleidiai_is_weight_header_valid(header);
|
||||
|
||||
@@ -832,16 +854,14 @@ class tensor_traits : public ggml::cpu::tensor_traits {
|
||||
const int nth = params->nth > 0 ? params->nth : 1;
|
||||
const int ith = params->ith;
|
||||
|
||||
const size_t k = ne00;
|
||||
const size_t m = ne11;
|
||||
const size_t n = ne01;
|
||||
|
||||
const size_t mr = kernel->get_mr();
|
||||
const size_t kr = kernel->get_kr();
|
||||
const size_t sr = kernel->get_sr();
|
||||
|
||||
const size_t lhs_packed_size = lhs_info->packed_size_ex(m, k, 0, mr, kr, sr);
|
||||
GGML_ASSERT(lhs_packed_size <= params->wsize);
|
||||
const size_t lhs_packed_size = use_gemv ? 0 : lhs_info->packed_size_ex(m, k, 0, mr, kr, sr);
|
||||
if (!use_gemv) {
|
||||
GGML_ASSERT(lhs_packed_size <= params->wsize);
|
||||
}
|
||||
|
||||
uint8_t * lhs_packed = static_cast<uint8_t *>(params->wdata);
|
||||
const size_t dst_stride = dst->nb[1];
|
||||
@@ -853,7 +873,7 @@ class tensor_traits : public ggml::cpu::tensor_traits {
|
||||
const uint8_t * lhs_batch_base = static_cast<const uint8_t *>(src1->data) + batch_idx * src1->nb[2];
|
||||
uint8_t * dst_batch_base = static_cast<uint8_t *>(dst->data) + batch_idx * dst->nb[2];
|
||||
|
||||
{
|
||||
if (!use_gemv) {
|
||||
const int64_t m_roundup_mr = kai_roundup((int64_t)m, (int64_t)mr);
|
||||
int64_t max_threads = mr ? (m_roundup_mr / (int64_t)mr) : nth;
|
||||
max_threads = std::max<int64_t>(1, max_threads);
|
||||
@@ -903,15 +923,17 @@ class tensor_traits : public ggml::cpu::tensor_traits {
|
||||
const size_t n_to_process = std::min(chunk_cols, n - n_start);
|
||||
|
||||
if (n_to_process > 0) {
|
||||
const size_t lhs_packed_offset = lhs_info->get_packed_offset_ex(0, k, 0, mr, kr, sr);
|
||||
const size_t lhs_offset = use_gemv ? kernel->get_lhs_offset_ex(0, k, 0)
|
||||
: lhs_info->get_packed_offset_ex(0, k, 0, mr, kr, sr);
|
||||
const size_t rhs_packed_offset = kernel->get_rhs_packed_offset_ex(n_start, k, 0);
|
||||
const size_t dst_offset = kernel->get_dst_offset(0, n_start, dst_stride);
|
||||
|
||||
const void * lhs_ptr = lhs_packed + lhs_packed_offset;
|
||||
const void * lhs_ptr = use_gemv ? lhs_batch_base + lhs_offset
|
||||
: lhs_packed + lhs_offset;
|
||||
const void * rhs_ptr = rhs_base + rhs_packed_offset;
|
||||
float * dst_ptr = reinterpret_cast<float *>(dst_batch_base + dst_offset);
|
||||
|
||||
kernel->run_kernel_ex(m, n_to_process, k, 0,
|
||||
kernel->run_kernel_ex(m, n_to_process, k, use_gemv ? src1->nb[1] : 0,
|
||||
lhs_ptr,
|
||||
rhs_ptr,
|
||||
dst_ptr,
|
||||
|
||||
@@ -3180,8 +3180,9 @@ static bool ggml_hexagon_supported_argsort(const struct ggml_hexagon_session * s
|
||||
static bool ggml_hexagon_supported_rope(const struct ggml_hexagon_session * sess, const struct ggml_tensor * op) {
|
||||
const int32_t * op_params = &op->op_params[0];
|
||||
|
||||
if (op_params[15] != 0) {
|
||||
return false; // FIXME: support ggml_rope_set_offset
|
||||
// ggml_rope_set_offset: HVX kernels need a VLEN-aligned window start (32 f32 elems)
|
||||
if (op_params[15] % 32 != 0) {
|
||||
return false;
|
||||
}
|
||||
|
||||
int mode = op_params[2];
|
||||
|
||||
@@ -53,6 +53,7 @@
|
||||
|
||||
struct htp_rope_context {
|
||||
int32_t n_dims;
|
||||
int32_t n_offs;
|
||||
int32_t mode;
|
||||
int32_t n_ctx_orig;
|
||||
int32_t sections[4];
|
||||
@@ -405,32 +406,40 @@ static inline void hvx_rope_f32_aa(float * restrict dst, const float * restrict
|
||||
|
||||
static void inline rope_basic_f32(struct htp_rope_context * rctx, uint8_t * restrict dst, uint8_t * restrict src,
|
||||
uint32_t nr, uint32_t ne0, const float * restrict theta_cache) {
|
||||
const uint32_t n_offs = rctx->n_offs; // VLEN-aligned (enforced by supports_op)
|
||||
#pragma unroll(4)
|
||||
for (uint32_t i = 0; i < nr; i++) {
|
||||
float * d = (float *) (dst + i * rctx->dst_row_size_aligned);
|
||||
float * s = (float *) (src + i * rctx->src0_row_size_aligned);
|
||||
|
||||
hvx_rope_f32_aa(d, s, rctx->n_dims, theta_cache);
|
||||
hvx_rope_f32_aa(d + n_offs, s + n_offs, rctx->n_dims, theta_cache);
|
||||
|
||||
// fill the remain channels with data from src tensor
|
||||
if (rctx->n_dims < ne0) {
|
||||
hvx_copy_f32_uu((uint8_t *)(d + rctx->n_dims), (uint8_t *)(s + rctx->n_dims), ne0 - rctx->n_dims);
|
||||
if (n_offs > 0) {
|
||||
hvx_copy_f32_uu((uint8_t *) d, (uint8_t *) s, n_offs);
|
||||
}
|
||||
if (n_offs + rctx->n_dims < ne0) {
|
||||
hvx_copy_f32_uu((uint8_t *)(d + n_offs + rctx->n_dims), (uint8_t *)(s + n_offs + rctx->n_dims), ne0 - n_offs - rctx->n_dims);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
static void inline rope_neox_f32(struct htp_rope_context * rctx, uint8_t * restrict dst, uint8_t * restrict src,
|
||||
uint32_t nr, uint32_t ne0, const float * restrict theta_cache) {
|
||||
const uint32_t n_offs = rctx->n_offs; // VLEN-aligned (enforced by supports_op)
|
||||
#pragma unroll(4)
|
||||
for (uint32_t i = 0; i < nr; i++) {
|
||||
float * d = (float *) (dst + i * rctx->dst_row_size_aligned);
|
||||
float * s = (float *) (src + i * rctx->src0_row_size_aligned);
|
||||
|
||||
hvx_rope_neox_f32_aa(d, s, rctx->n_dims, theta_cache);
|
||||
hvx_rope_neox_f32_aa(d + n_offs, s + n_offs, rctx->n_dims, theta_cache);
|
||||
|
||||
// fill the remain channels with data from src tensor
|
||||
if (rctx->n_dims < ne0) {
|
||||
hvx_copy_f32_uu((uint8_t *)(d + rctx->n_dims), (uint8_t *)(s + rctx->n_dims), ne0 - rctx->n_dims);
|
||||
if (n_offs > 0) {
|
||||
hvx_copy_f32_uu((uint8_t *) d, (uint8_t *) s, n_offs);
|
||||
}
|
||||
if (n_offs + rctx->n_dims < ne0) {
|
||||
hvx_copy_f32_uu((uint8_t *)(d + n_offs + rctx->n_dims), (uint8_t *)(s + n_offs + rctx->n_dims), ne0 - n_offs - rctx->n_dims);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -673,6 +682,7 @@ static int execute_op_rope_f32(struct htp_ops_context * octx) {
|
||||
rctx.n_dims = ((const int32_t *) op_params)[1];
|
||||
rctx.mode = ((const int32_t *) op_params)[2];
|
||||
rctx.n_ctx_orig = ((const int32_t *) op_params)[4];
|
||||
rctx.n_offs = ((const int32_t *) op_params)[15];
|
||||
|
||||
memcpy(&rctx.freq_base, (int32_t *) op_params + 5, sizeof(float));
|
||||
memcpy(&rctx.freq_scale, (int32_t *) op_params + 6, sizeof(float));
|
||||
|
||||
@@ -10365,9 +10365,12 @@ kernel void kernel_mul_mm(
|
||||
auto tB = tensor(ptrB, dextents<int32_t, 2>(K, N), array<int, 2>({1, strideB}));
|
||||
|
||||
// Configure matmul operation
|
||||
// note: K is dynamic_extent (clamped to the valid range in PHASE 2), since a static
|
||||
// N_MM_NK_TOTAL K tile would read src1 out of bounds when K % N_MM_NK_TOTAL != 0
|
||||
// ref: https://github.com/ggml-org/llama.cpp/pull/27064
|
||||
mpp::tensor_ops::matmul2d<
|
||||
mpp::tensor_ops::matmul2d_descriptor(
|
||||
NRB, NRA, N_MM_NK_TOTAL, false, true, true,
|
||||
NRB, NRA, static_cast<int>(dynamic_extent), false, true, true,
|
||||
mpp::tensor_ops::matmul2d_descriptor::mode::multiply_accumulate),
|
||||
execution_simdgroups<N_MM_SIMD_GROUP_X * N_MM_SIMD_GROUP_Y>> mm;
|
||||
|
||||
@@ -10419,10 +10422,14 @@ kernel void kernel_mul_mm(
|
||||
threadgroup_barrier(mem_flags::mem_threadgroup);
|
||||
|
||||
// === PHASE 2: Tensor matmul ===
|
||||
auto mA = tA.slice(0, 0);
|
||||
auto mB = tB.slice(loop_k, rb);
|
||||
// Clamp the K extent of both operand tensors to the remaining valid K range so
|
||||
// the dynamic-K op never reads past the K extent of src1 (or the staged A tile).
|
||||
const int kExt = min(N_MM_NK_TOTAL, K - loop_k);
|
||||
|
||||
mm.run(mB, mA, cT);
|
||||
auto tAv = tensor(sa, dextents<int32_t, 2>(kExt, NRA), array<int, 2>({1, N_MM_NK_TOTAL}));
|
||||
auto tBv = tensor(ptrB + loop_k + rb * strideB, dextents<int32_t, 2>(kExt, N - rb), array<int, 2>({1, strideB}));
|
||||
|
||||
mm.run(tBv, tAv, cT);
|
||||
|
||||
threadgroup_barrier(mem_flags::mem_threadgroup);
|
||||
}
|
||||
|
||||
@@ -582,6 +582,8 @@ struct ggml_backend_opencl_context {
|
||||
bool adreno_use_bin_kernels;
|
||||
get_adreno_bin_kernel_func_t get_adreno_bin_kernel_func = nullptr;
|
||||
ggml_cl_compiler_version adreno_cl_compiler_version;
|
||||
// The q6_K flat mul_mat codegen workarounds are needed by old E031 compilers only.
|
||||
bool q6_k_flat_old_compiler;
|
||||
|
||||
std::string kernel_compile_opts; // cached for lazy-compiled kernels.
|
||||
|
||||
@@ -1931,8 +1933,14 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx) {
|
||||
#else
|
||||
const std::string kernel_src = read_file("mul_mv_q6_k_f32_flat.cl");
|
||||
#endif
|
||||
// The codegen workarounds in this kernel are a measured 13-20% loss on
|
||||
// compilers that do not need them, so only the affected ones build them;
|
||||
// everyone else gets the original source.
|
||||
const std::string q6k_opts = backend_ctx->q6_k_flat_old_compiler
|
||||
? compile_opts + " -DADRENO_OLD_COMPILER=1"
|
||||
: compile_opts;
|
||||
cl_program prog =
|
||||
build_program_from_source(backend_ctx, kernel_src.c_str(), compile_opts);
|
||||
build_program_from_source(backend_ctx, kernel_src.c_str(), q6k_opts);
|
||||
|
||||
CL_CHECK((backend_ctx->kernel_mul_mv_q6_K_f32_flat = clCreateKernel(prog, "kernel_mul_mv_q6_K_f32_flat", &err), err));
|
||||
CL_CHECK(clReleaseProgram(prog));
|
||||
@@ -5917,6 +5925,16 @@ static ggml_backend_opencl_context * ggml_cl_init(ggml_backend_dev_t dev) {
|
||||
(backend_ctx->adreno_cl_compiler_version.type == E031 && backend_ctx->adreno_cl_compiler_version.major >= 47) ||
|
||||
(backend_ctx->adreno_cl_compiler_version.type == DX && backend_ctx->adreno_cl_compiler_version.major >= 17);
|
||||
|
||||
// The q6_K flat mul_mat miscompile is a defect of the older E031 compilers, not a
|
||||
// property of any GPU generation: it reproduces on E031.38 (Adreno 642L) and E031.41
|
||||
// (Adreno 740) and is fixed by E031.45 (Adreno 619). Gate on the compiler so parts
|
||||
// that do not need the workarounds do not pay for them. The explicit type check is
|
||||
// required: newer_than_or_same() is false for every non-E031 compiler, so negating it
|
||||
// alone would enable the workarounds on E17/DX.
|
||||
backend_ctx->q6_k_flat_old_compiler =
|
||||
backend_ctx->adreno_cl_compiler_version.type == E031 &&
|
||||
!backend_ctx->adreno_cl_compiler_version.newer_than_or_same(E031, 45, 0, 0);
|
||||
|
||||
size_t ext_str_size;
|
||||
clGetDeviceInfo(device, CL_DEVICE_EXTENSIONS, 0, NULL, &ext_str_size);
|
||||
char *ext_buffer = (char *)alloca(ext_str_size + 1);
|
||||
@@ -7375,6 +7393,19 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te
|
||||
op->src[0]->type == GGML_TYPE_Q4_K ||
|
||||
op->src[0]->type == GGML_TYPE_Q5_K ||
|
||||
op->src[0]->type == GGML_TYPE_Q6_K) {
|
||||
// The E031.41 compiler (usually with A7x) miscompiles the flat K-quant
|
||||
// GEMV kernels (kernel_mul_mv_q*_K_f32_flat) and makes lm_head run much
|
||||
// slower than it should. So, make it fallback to CPU to preserve performance
|
||||
// for this compiler series.
|
||||
static const char * a7x_lmhead_env = getenv("GGML_OPENCL_A7X_LMHEAD_CPU");
|
||||
static const bool a7x_lmhead_cpu = (a7x_lmhead_env == nullptr || a7x_lmhead_env[0] != '0');
|
||||
if (a7x_lmhead_cpu &&
|
||||
backend_ctx->adreno_gen == ADRENO_GPU_GEN::A7X &&
|
||||
(op->src[0]->type == GGML_TYPE_Q4_K || op->src[0]->type == GGML_TYPE_Q5_K ||
|
||||
op->src[0]->type == GGML_TYPE_Q6_K) &&
|
||||
op->src[0]->ne[1] >= 32768) { // vocab-scale weight; no FFN/attn weight is this tall
|
||||
return false;
|
||||
}
|
||||
return op->src[1]->type == GGML_TYPE_F32 && ggml_is_contiguous(op->src[0]) && ggml_is_contiguous(op->src[1]);
|
||||
} else if (op->src[0]->type == GGML_TYPE_Q8_0) {
|
||||
return op->src[1]->type == GGML_TYPE_F32;
|
||||
@@ -7416,9 +7447,6 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te
|
||||
case GGML_OP_DIAG_MASK_INF:
|
||||
return op->ne[3] == 1;
|
||||
case GGML_OP_ROPE: {
|
||||
if (((const int32_t *) op->op_params)[15] != 0) {
|
||||
return false; // FIXME: support ggml_rope_set_offset
|
||||
}
|
||||
const int mode = ((const int32_t *) op->op_params)[2];
|
||||
const bool is_mrope = mode & GGML_ROPE_TYPE_MROPE;
|
||||
const bool is_vision = mode == GGML_ROPE_TYPE_VISION;
|
||||
@@ -7496,6 +7524,7 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te
|
||||
v->type == GGML_TYPE_F16 && op->type == GGML_TYPE_F16;
|
||||
const bool is_f32_f16 = q->type == GGML_TYPE_F32 && k->type == GGML_TYPE_F16 &&
|
||||
v->type == GGML_TYPE_F16 && op->type == GGML_TYPE_F32;
|
||||
|
||||
const bool is_f32_q8_0 = q->type == GGML_TYPE_F32 && k->type == GGML_TYPE_Q8_0 &&
|
||||
v->type == GGML_TYPE_Q8_0 && op->type == GGML_TYPE_F32 &&
|
||||
dk % 32 == 0 && dv % 32 == 0;
|
||||
@@ -7503,6 +7532,21 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te
|
||||
v->type == GGML_TYPE_Q4_0 && op->type == GGML_TYPE_F32 &&
|
||||
dk % 32 == 0 && dv % 32 == 0;
|
||||
|
||||
// A7X (Adreno 740, compiler E031.41) SIGSEGVs inside clBuildProgram
|
||||
// building the flash_attn programs whose KV path is mixed-type or
|
||||
// dequantized — f32_f16, q8_0, q4_0 (reproduced at DK=40 and DK=64; it
|
||||
// is DK-independent). It is a driver crash, not codegen-wrong-output, so
|
||||
// it cannot be caught in-process (fatal=false only handles clean compile
|
||||
// errors). The uniform f16_f16 / f32_f32 programs compile fine on this
|
||||
// compiler, so decline only the KV-convert variants; ggml then runs
|
||||
// those (f16-KV / quant-KV) attention layers on the CPU backend.
|
||||
// Negative compiler carve-out, same idiom as the Intel DK=512 decline
|
||||
// below and the X1E driver-quirk guards.
|
||||
if (backend_ctx && backend_ctx->adreno_gen == ADRENO_GPU_GEN::A7X &&
|
||||
(is_f32_f16 || is_f32_q8_0 || is_f32_q4_0)) {
|
||||
return false;
|
||||
}
|
||||
|
||||
// Asymmetric KV: host-dequants both sides to F32, uses f32 kernel.
|
||||
auto is_kv_type_ok = [](ggml_type t) {
|
||||
return t == GGML_TYPE_F16 || t == GGML_TYPE_F32 ||
|
||||
@@ -12830,7 +12874,10 @@ static void ggml_cl_norm(ggml_backend_t backend, const ggml_tensor * src0, const
|
||||
GGML_TENSOR_LOCALS(int, ne0, src0, ne);
|
||||
GGML_TENSOR_LOCALS(cl_ulong, nb0, src0, nb);
|
||||
|
||||
const int nth = MIN(64, ne00);
|
||||
int nth = 1;
|
||||
while (nth < ne00 && nth < 64) {
|
||||
nth *= 2;
|
||||
}
|
||||
|
||||
cl_kernel kernel = backend_ctx->kernel_norm;
|
||||
|
||||
@@ -20580,6 +20627,12 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
|
||||
CL_CHECK(clSetKernelArg(kernel, 14, sizeof(int), &ne1));
|
||||
CL_CHECK(clSetKernelArg(kernel, 15, sizeof(int), &r2));
|
||||
CL_CHECK(clSetKernelArg(kernel, 16, sizeof(int), &r3));
|
||||
// The optimizer-barrier arg exists only in the ADRENO_OLD_COMPILER build of
|
||||
// this kernel; conformant compilers get the original 17-arg signature.
|
||||
if (backend_ctx->q6_k_flat_old_compiler) {
|
||||
cl_uchar q6k_mask = 0xFF; // never 0xFE in prod; see the kernel note
|
||||
CL_CHECK(clSetKernelArg(kernel, 17, sizeof(cl_uchar), &q6k_mask));
|
||||
}
|
||||
#else
|
||||
kernel = backend_ctx->kernel_mul_mv_q6_K_f32;
|
||||
|
||||
@@ -23867,6 +23920,7 @@ static void ggml_cl_rope(ggml_backend_t backend, const ggml_tensor * src0, const
|
||||
const int n_dims = ((int *) dst->op_params)[1];
|
||||
const int mode = ((int *) dst->op_params)[2];
|
||||
const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
|
||||
const int n_offs = ((int32_t *) dst->op_params)[15];
|
||||
|
||||
float freq_base;
|
||||
float freq_scale;
|
||||
@@ -23895,6 +23949,7 @@ static void ggml_cl_rope(ggml_backend_t backend, const ggml_tensor * src0, const
|
||||
|
||||
if (is_vision) {
|
||||
GGML_ASSERT(n_dims == ne00/2);
|
||||
GGML_ASSERT(n_offs == 0); // offset not supported for vision, as the rotated pairs span the whole row
|
||||
}
|
||||
|
||||
cl_kernel kernel;
|
||||
@@ -23986,6 +24041,12 @@ static void ggml_cl_rope(ggml_backend_t backend, const ggml_tensor * src0, const
|
||||
if (is_mrope && !is_vision) {
|
||||
CL_CHECK(clSetKernelArg(kernel, 34, sizeof(int), &is_imrope));
|
||||
}
|
||||
// norm and neox have n_offs after beta_slow, mrope has it after is_imrope
|
||||
if (!is_mrope && !is_vision) {
|
||||
CL_CHECK(clSetKernelArg(kernel, 33, sizeof(int), &n_offs));
|
||||
} else if (is_mrope && !is_vision) {
|
||||
CL_CHECK(clSetKernelArg(kernel, 35, sizeof(int), &n_offs));
|
||||
}
|
||||
|
||||
size_t global_work_size[] = {(size_t)ne01*nth, (size_t)ne02, (size_t)ne03};
|
||||
size_t local_work_size[] = {(size_t)nth, 1, 1};
|
||||
|
||||
@@ -28,6 +28,13 @@
|
||||
|
||||
#define QK_K 256
|
||||
|
||||
// ADRENO_OLD_COMPILER is defined by the host (-D) only for the Adreno E031
|
||||
// compilers older than E031.45, which miscompile several constructs this kernel
|
||||
// used (confirmed on E031.38 and E031.41; E031.45 is clean). Every other
|
||||
// compiler -- newer E031, E17, DX, Intel, and every non-Adreno device that
|
||||
// builds this program -- takes the #else branches, which are the original
|
||||
// source: the workarounds below cost ~13% on the q6_K flat n=1 GEMV where they
|
||||
// are not needed.
|
||||
inline float block_q_6_K_dot_y_flat(
|
||||
global uchar * blk_ql,
|
||||
global uchar * blk_qh,
|
||||
@@ -37,6 +44,9 @@ inline float block_q_6_K_dot_y_flat(
|
||||
int ip,
|
||||
int is,
|
||||
int l0,
|
||||
#if defined(ADRENO_OLD_COMPILER)
|
||||
int dbg,
|
||||
#endif
|
||||
float4 y0,
|
||||
float4 y1,
|
||||
float4 y2,
|
||||
@@ -48,10 +58,40 @@ inline float block_q_6_K_dot_y_flat(
|
||||
global uchar * q1 = blk_ql + ib*128 + q_offset_l;
|
||||
global uchar * q2 = q1 + QK_K/8;
|
||||
global uchar * qh = blk_qh + ib*64 + q_offset_h;
|
||||
global char * sc = blk_scales + ib*16 + is;
|
||||
|
||||
float dall = blk_d[ib];
|
||||
|
||||
#if defined(ADRENO_OLD_COMPILER)
|
||||
// The vectorized dequant (int4/float4 bit-ops, convert_*4, dot()) and vload4
|
||||
// are miscompiled here -> garbage weights. Reconstruct the 6-bit weights and
|
||||
// take the dot product scalar. q4_K/q5_K flat already use scalar paths, which
|
||||
// is why q6_K was the only flat GEMV that failed.
|
||||
// Scales are SIGNED int8; read as uchar and sign-extend arithmetically so the
|
||||
// result does not depend on whether the compiler treats `char` as signed.
|
||||
global uchar * sc = (global uchar *)(blk_scales + ib*16 + is);
|
||||
|
||||
int s0 = (int)sc[0] - 256*(sc[0] >> 7);
|
||||
int s2 = (int)sc[2] - 256*(sc[2] >> 7);
|
||||
int s4 = (int)sc[4] - 256*(sc[4] >> 7);
|
||||
int s6 = (int)sc[6] - 256*(sc[6] >> 7);
|
||||
|
||||
// one 6-bit weight: low/high nibble of a ql byte OR'd with a 2-bit qh plane
|
||||
// (plane p in {0,1,2,3} selects qh bits 2p..2p+1) placed at bits 4-5, minus 32.
|
||||
#define Q6W(qb, sh, hb, p) ((float)((((int)(qb) >> (sh)) & 15) | ((((int)(hb) >> (2*(p))) & 3) << 4)) - 32.f)
|
||||
|
||||
float d0 = y0.s0*Q6W(q1[0],0,qh[0],0) + y0.s1*Q6W(q1[1],0,qh[1],0) + y0.s2*Q6W(q1[2],0,qh[2],0) + y0.s3*Q6W(q1[3],0,qh[3],0);
|
||||
float d1 = y1.s0*Q6W(q2[0],0,qh[0],1) + y1.s1*Q6W(q2[1],0,qh[1],1) + y1.s2*Q6W(q2[2],0,qh[2],1) + y1.s3*Q6W(q2[3],0,qh[3],1);
|
||||
float d2 = y2.s0*Q6W(q1[0],4,qh[0],2) + y2.s1*Q6W(q1[1],4,qh[1],2) + y2.s2*Q6W(q1[2],4,qh[2],2) + y2.s3*Q6W(q1[3],4,qh[3],2);
|
||||
float d3 = y3.s0*Q6W(q2[0],4,qh[0],3) + y3.s1*Q6W(q2[1],4,qh[1],3) + y3.s2*Q6W(q2[2],4,qh[2],3) + y3.s3*Q6W(q2[3],4,qh[3],3);
|
||||
#undef Q6W
|
||||
|
||||
if (dbg) printf("HELPER dall=%f s=[%d %d %d %d] d=[%f %f %f %f] ql0=%d qh0=%d y00=%f\n",
|
||||
dall, s0, s2, s4, s6, d0, d1, d2, d3, (int)q1[0], (int)qh[0], y0.s0);
|
||||
|
||||
return dall * (d0 * s0 + d1 * s2 + d2 * s4 + d3 * s6);
|
||||
#else
|
||||
global char * sc = blk_scales + ib*16 + is;
|
||||
|
||||
// Vectorized loads: 3 uchar4 weight loads instead of 12 scalar byte reads.
|
||||
// q_offset_l/h are 4-aligned, so these are aligned vector loads.
|
||||
uchar4 q1v = vload4(0, q1);
|
||||
@@ -72,6 +112,7 @@ inline float block_q_6_K_dot_y_flat(
|
||||
|
||||
return dall * (dot(y0, w0) * sc[0] + dot(y1, w1) * sc[2] +
|
||||
dot(y2, w2) * sc[4] + dot(y3, w3) * sc[6]);
|
||||
#endif
|
||||
}
|
||||
|
||||
#undef N_DST
|
||||
@@ -113,6 +154,11 @@ kernel void kernel_mul_mv_q6_K_f32_flat(
|
||||
int ne1,
|
||||
int r2,
|
||||
int r3
|
||||
#if defined(ADRENO_OLD_COMPILER)
|
||||
,
|
||||
uchar q6k_mask // runtime 0xFF; the host passes it so the compiler cannot
|
||||
// constant-fold the printf guards below into nothing
|
||||
#endif
|
||||
) {
|
||||
src1 = (global float*)((global char*)src1 + offset1);
|
||||
dst = (global float*)((global char*)dst + offsetd);
|
||||
@@ -128,6 +174,22 @@ kernel void kernel_mul_mv_q6_K_f32_flat(
|
||||
|
||||
int first_row = (N_SIMDGROUP * r0 + get_sub_group_id()) * N_DST;
|
||||
|
||||
#if defined(ADRENO_OLD_COMPILER)
|
||||
// 64-bit `ulong` integer arithmetic is miscompiled here -> the base-pointer byte
|
||||
// offsets came out wrong, so EVERY weight/scale read hit the wrong address. This
|
||||
// was the primary cause of the q6_K flat failure (q5_K uses int offsets and is
|
||||
// unaffected). Compute the block index in `int` and widen to `ulong` only inside
|
||||
// the pointer expression: the byte offset stays 64-bit, but there is no ulong
|
||||
// arithmetic chain to miscompile. The int index would overflow past ~2^31 blocks,
|
||||
// which no realistic weight reaches -- but that is a narrowing, so keep it off the
|
||||
// conformant path, which retains full ulong arithmetic.
|
||||
int offset_src0 = first_row*nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02);
|
||||
|
||||
global uchar * blk_ql = (global uchar *) src0_ql + (ulong)offset_src0 * 128;
|
||||
global uchar * blk_qh = (global uchar *) src0_qh + (ulong)offset_src0 * 64;
|
||||
global char * blk_scales = (global char *) src0_s + (ulong)offset_src0 * 16;
|
||||
global half * blk_d = (global half *) src0_d + offset_src0;
|
||||
#else
|
||||
ulong offset_src0 = first_row*nb + (i12/r2)*(nb*ne01) + (i13/r3)*(nb*ne01*ne02);
|
||||
ulong offset_src0_ql = offset_src0 * 128;
|
||||
ulong offset_src0_qh = offset_src0 * 64;
|
||||
@@ -138,6 +200,7 @@ kernel void kernel_mul_mv_q6_K_f32_flat(
|
||||
global uchar * blk_qh = (global uchar *) src0_qh + offset_src0_qh;
|
||||
global char * blk_scales = (global char *) src0_s + offset_src0_s;
|
||||
global half * blk_d = (global half *) src0_d + offset_src0_d;
|
||||
#endif
|
||||
global float * yy = (global float *) src1 + r1*ne10 + im*ne00*ne1;
|
||||
|
||||
int tid = get_sub_group_local_id()%(N_SIMDWIDTH/BLOCK_STRIDE); // within-super-block part, 0..15
|
||||
@@ -155,24 +218,55 @@ kernel void kernel_mul_mv_q6_K_f32_flat(
|
||||
|
||||
for (int ib = ix; ib < nb; ib += BLOCK_STRIDE) {
|
||||
global float * y = yy + ib * QK_K + 128*ip + l0;
|
||||
#if defined(ADRENO_OLD_COMPILER)
|
||||
// vload4 of f32 is miscompiled here; index the lanes scalar instead.
|
||||
float4 y0 = (float4)(y[ 0], y[ 1], y[ 2], y[ 3]);
|
||||
float4 y1 = (float4)(y[32], y[33], y[34], y[35]);
|
||||
float4 y2 = (float4)(y[64], y[65], y[66], y[67]);
|
||||
float4 y3 = (float4)(y[96], y[97], y[98], y[99]);
|
||||
#else
|
||||
float4 y0 = vload4(0, y + 0);
|
||||
float4 y1 = vload4(0, y + 32);
|
||||
float4 y2 = vload4(0, y + 64);
|
||||
float4 y3 = vload4(0, y + 96);
|
||||
#endif
|
||||
|
||||
for (int row = 0; row < N_DST; row++) {
|
||||
if (first_row + row < ne01) {
|
||||
#if defined(ADRENO_OLD_COMPILER)
|
||||
int dbg = (q6k_mask==0xFE && r0==0 && r1==0 && im==0 && row==0 && ib==0 &&
|
||||
ne00==256 && ne01==16 && get_sub_group_local_id()==0) ? 1 : 0;
|
||||
sumf[row] += block_q_6_K_dot_y_flat(
|
||||
blk_ql + row*nb*128, blk_qh + row*nb*64, blk_scales + row*nb*16, blk_d + row*nb,
|
||||
ib, ip, is, l0, dbg, y0, y1, y2, y3);
|
||||
#else
|
||||
sumf[row] += block_q_6_K_dot_y_flat(
|
||||
blk_ql + row*nb*128, blk_qh + row*nb*64, blk_scales + row*nb*16, blk_d + row*nb,
|
||||
ib, ip, is, l0, y0, y1, y2, y3);
|
||||
#endif
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#if defined(ADRENO_OLD_COMPILER)
|
||||
// Optimizer barrier. This compiler drops the sumf partials unless a side effect
|
||||
// forces them to materialize. q6k_mask is a kernel arg the compiler cannot prove
|
||||
// is never 0xFE (the host always passes 0xFF), so the printf survives compilation
|
||||
// but never executes. FRAGILE: the exact set and placement of these guarded
|
||||
// printfs is load-bearing on E031.41 -- removing any one re-breaks q6_K.
|
||||
if (q6k_mask==0xFE && r0==0 && r1==0 && im==0 && ne00==256 && ne01==16 && get_sub_group_local_id()<16) {
|
||||
printf("Q6KLANE lane=%d ip=%d il=%d is=%d l0=%d sumf0=%f\n",
|
||||
get_sub_group_local_id(), ip, il, is, l0, sumf[0]);
|
||||
}
|
||||
#endif
|
||||
for (int row = 0; row < N_DST; row++) {
|
||||
float tot = sub_group_reduce_add(sumf[row]);
|
||||
if (get_sub_group_local_id() == 0 && first_row + row < ne01) {
|
||||
dst[r1*ne0 + im*ne0*ne1 + first_row + row] = tot;
|
||||
#if defined(ADRENO_OLD_COMPILER)
|
||||
if (q6k_mask==0xFE && r0==0 && r1==0 && im==0 && row==0 && ne00==256 && ne01==16)
|
||||
printf("Q6KTOT tot=%f\n", tot);
|
||||
#endif
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -75,7 +75,8 @@ kernel void kernel_rope_norm_f32(
|
||||
float ext_factor,
|
||||
float attn_factor,
|
||||
float beta_fast,
|
||||
float beta_slow
|
||||
float beta_slow,
|
||||
int n_offs
|
||||
) {
|
||||
src0 = (global void*)((global char*)src0 + offset0);
|
||||
src1 = (global int*)((global char*)src1 + offset1);
|
||||
@@ -94,14 +95,15 @@ kernel void kernel_rope_norm_f32(
|
||||
float inv_ndims = -1.f/n_dims;
|
||||
|
||||
for (int i0 = 2*get_local_id(0); i0 < ne0; i0 += 2*get_local_size(0)) {
|
||||
if (i0 < n_dims) {
|
||||
int ic = i0/2;
|
||||
if (i0 >= n_offs && i0 < n_offs + n_dims) {
|
||||
int iw = i0 - n_offs; // relative idx
|
||||
int ic = iw/2;
|
||||
|
||||
float theta = theta_base * pow(freq_base, inv_ndims*i0);
|
||||
float theta = theta_base * pow(freq_base, inv_ndims*iw);
|
||||
|
||||
float freq_factor = src2 != src0 ? src2[ic] : 1.0f;
|
||||
|
||||
float2 cos_sin_theta = rope_yarn(theta/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor);
|
||||
float2 cos_sin_theta = rope_yarn(theta/freq_factor, freq_scale, corr_dims, iw, ext_factor, attn_factor);
|
||||
|
||||
global float * src = (global float *)((global char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
|
||||
global float * dst_data = (global float *)((global char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0);
|
||||
@@ -154,7 +156,8 @@ kernel void kernel_rope_norm_f16(
|
||||
float ext_factor,
|
||||
float attn_factor,
|
||||
float beta_fast,
|
||||
float beta_slow
|
||||
float beta_slow,
|
||||
int n_offs
|
||||
) {
|
||||
src0 = (global void*)((global char*)src0 + offset0);
|
||||
src1 = (global int*)((global char*)src1 + offset1);
|
||||
@@ -173,14 +176,15 @@ kernel void kernel_rope_norm_f16(
|
||||
float inv_ndims = -1.f/n_dims;
|
||||
|
||||
for (int i0 = 2*get_local_id(0); i0 < ne0; i0 += 2*get_local_size(0)) {
|
||||
if (i0 < n_dims) {
|
||||
int ic = i0/2;
|
||||
if (i0 >= n_offs && i0 < n_offs + n_dims) {
|
||||
int iw = i0 - n_offs; // relative idx
|
||||
int ic = iw/2;
|
||||
|
||||
float theta = theta_base * pow(freq_base, inv_ndims*i0);
|
||||
float theta = theta_base * pow(freq_base, inv_ndims*iw);
|
||||
|
||||
float freq_factor = src2 != src0 ? src2[ic] : 1.0f;
|
||||
|
||||
float2 cos_sin_theta = rope_yarn(theta/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor);
|
||||
float2 cos_sin_theta = rope_yarn(theta/freq_factor, freq_scale, corr_dims, iw, ext_factor, attn_factor);
|
||||
|
||||
global half * src = (global half *)((global char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
|
||||
global half * dst_data = (global half *)((global char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + i0*nb0);
|
||||
@@ -233,7 +237,8 @@ kernel void kernel_rope_neox_f32(
|
||||
float ext_factor,
|
||||
float attn_factor,
|
||||
float beta_fast,
|
||||
float beta_slow
|
||||
float beta_slow,
|
||||
int n_offs
|
||||
) {
|
||||
src0 = (global void*)((global char*)src0 + offset0);
|
||||
src1 = (global int*)((global char*)src1 + offset1);
|
||||
@@ -252,17 +257,18 @@ kernel void kernel_rope_neox_f32(
|
||||
float inv_ndims = -1.f/n_dims;
|
||||
|
||||
for (int i0 = 2*get_local_id(0); i0 < ne0; i0 += 2*get_local_size(0)) {
|
||||
if (i0 < n_dims) {
|
||||
int ic = i0/2;
|
||||
if (i0 >= n_offs && i0 < n_offs + n_dims) {
|
||||
int iw = i0 - n_offs; // relative idx
|
||||
int ic = iw/2;
|
||||
|
||||
const float theta = theta_base * pow(freq_base, inv_ndims*i0);
|
||||
const float theta = theta_base * pow(freq_base, inv_ndims*iw);
|
||||
|
||||
const float freq_factor = src2 != src0 ? src2[ic] : 1.0f;
|
||||
|
||||
float2 cos_sin_theta = rope_yarn(theta/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor);
|
||||
float2 cos_sin_theta = rope_yarn(theta/freq_factor, freq_scale, corr_dims, iw, ext_factor, attn_factor);
|
||||
|
||||
global float * src = (global float *)((global char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + ic*nb00);
|
||||
global float * dst_data = (global float *)((global char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + ic*nb0);
|
||||
global float * src = (global float *)((global char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + (n_offs + ic)*nb00);
|
||||
global float * dst_data = (global float *)((global char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + (n_offs + ic)*nb0);
|
||||
|
||||
const float x0 = src[0];
|
||||
const float x1 = src[n_dims/2];
|
||||
@@ -312,7 +318,8 @@ kernel void kernel_rope_neox_f16(
|
||||
float ext_factor,
|
||||
float attn_factor,
|
||||
float beta_fast,
|
||||
float beta_slow
|
||||
float beta_slow,
|
||||
int n_offs
|
||||
) {
|
||||
src0 = (global void*)((global char*)src0 + offset0);
|
||||
src1 = (global int*)((global char*)src1 + offset1);
|
||||
@@ -331,17 +338,18 @@ kernel void kernel_rope_neox_f16(
|
||||
float inv_ndims = -1.f/n_dims;
|
||||
|
||||
for (int i0 = 2*get_local_id(0); i0 < ne0; i0 += 2*get_local_size(0)) {
|
||||
if (i0 < n_dims) {
|
||||
int ic = i0/2;
|
||||
if (i0 >= n_offs && i0 < n_offs + n_dims) {
|
||||
int iw = i0 - n_offs; // relative idx
|
||||
int ic = iw/2;
|
||||
|
||||
const float theta = theta_base * pow(freq_base, inv_ndims*i0);
|
||||
const float theta = theta_base * pow(freq_base, inv_ndims*iw);
|
||||
|
||||
const float freq_factor = src2 != src0 ? src2[ic] : 1.0f;
|
||||
|
||||
float2 cos_sin_theta = rope_yarn(theta/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor);
|
||||
float2 cos_sin_theta = rope_yarn(theta/freq_factor, freq_scale, corr_dims, iw, ext_factor, attn_factor);
|
||||
|
||||
global half * src = (global half *)((global char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + ic*nb00);
|
||||
global half * dst_data = (global half *)((global char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + ic*nb0);
|
||||
global half * src = (global half *)((global char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + (n_offs + ic)*nb00);
|
||||
global half * dst_data = (global half *)((global char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + (n_offs + ic)*nb0);
|
||||
|
||||
const float x0 = src[0];
|
||||
const float x1 = src[n_dims/2];
|
||||
@@ -393,7 +401,8 @@ kernel void kernel_rope_multi_f32(
|
||||
float beta_fast,
|
||||
float beta_slow,
|
||||
int4 sections,
|
||||
int is_imrope
|
||||
int is_imrope,
|
||||
int n_offs
|
||||
) {
|
||||
src0 = (global void*)((global char*)src0 + offset0);
|
||||
src1 = (global int*)((global char*)src1 + offset1);
|
||||
@@ -414,10 +423,11 @@ kernel void kernel_rope_multi_f32(
|
||||
float inv_ndims = -1.f/n_dims;
|
||||
|
||||
for (int i0 = 2*get_local_id(0); i0 < ne0; i0 += 2*get_local_size(0)) {
|
||||
if (i0 < n_dims) {
|
||||
int ic = i0/2;
|
||||
if (i0 >= n_offs && i0 < n_offs + n_dims) {
|
||||
int iw = i0 - n_offs; // relative idx
|
||||
int ic = iw/2;
|
||||
|
||||
const int sector = (i0 / 2) % sect_dims;
|
||||
const int sector = ic % sect_dims;
|
||||
float theta_base = 0.0f;
|
||||
|
||||
if (is_imrope) {
|
||||
@@ -445,14 +455,14 @@ kernel void kernel_rope_multi_f32(
|
||||
}
|
||||
}
|
||||
|
||||
const float theta = theta_base * pow(freq_base, inv_ndims*i0);
|
||||
const float theta = theta_base * pow(freq_base, inv_ndims*iw);
|
||||
|
||||
const float freq_factor = src2 != src0 ? src2[ic] : 1.0f;
|
||||
|
||||
float2 cos_sin_theta = rope_yarn(theta/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor);
|
||||
float2 cos_sin_theta = rope_yarn(theta/freq_factor, freq_scale, corr_dims, iw, ext_factor, attn_factor);
|
||||
|
||||
global float * src = (global float *)((global char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + ic*nb00);
|
||||
global float * dst_data = (global float *)((global char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + ic*nb0);
|
||||
global float * src = (global float *)((global char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + (n_offs + ic)*nb00);
|
||||
global float * dst_data = (global float *)((global char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + (n_offs + ic)*nb0);
|
||||
|
||||
const float x0 = src[0];
|
||||
const float x1 = src[n_dims/2];
|
||||
@@ -504,7 +514,8 @@ kernel void kernel_rope_multi_f16(
|
||||
float beta_fast,
|
||||
float beta_slow,
|
||||
int4 sections,
|
||||
int is_imrope
|
||||
int is_imrope,
|
||||
int n_offs
|
||||
) {
|
||||
src0 = (global void*)((global char*)src0 + offset0);
|
||||
src1 = (global int*)((global char*)src1 + offset1);
|
||||
@@ -525,10 +536,11 @@ kernel void kernel_rope_multi_f16(
|
||||
float inv_ndims = -1.f/n_dims;
|
||||
|
||||
for (int i0 = 2*get_local_id(0); i0 < ne0; i0 += 2*get_local_size(0)) {
|
||||
if (i0 < n_dims) {
|
||||
int ic = i0/2;
|
||||
if (i0 >= n_offs && i0 < n_offs + n_dims) {
|
||||
int iw = i0 - n_offs; // relative idx
|
||||
int ic = iw/2;
|
||||
|
||||
const int sector = (i0 / 2) % sect_dims;
|
||||
const int sector = ic % sect_dims;
|
||||
float theta_base = 0.0f;
|
||||
|
||||
if (is_imrope) {
|
||||
@@ -556,14 +568,14 @@ kernel void kernel_rope_multi_f16(
|
||||
}
|
||||
}
|
||||
|
||||
const float theta = theta_base * pow(freq_base, inv_ndims*i0);
|
||||
const float theta = theta_base * pow(freq_base, inv_ndims*iw);
|
||||
|
||||
const float freq_factor = src2 != src0 ? src2[ic] : 1.0f;
|
||||
|
||||
float2 cos_sin_theta = rope_yarn(theta/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor);
|
||||
float2 cos_sin_theta = rope_yarn(theta/freq_factor, freq_scale, corr_dims, iw, ext_factor, attn_factor);
|
||||
|
||||
global half * src = (global half *)((global char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + ic*nb00);
|
||||
global half * dst_data = (global half *)((global char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + ic*nb0);
|
||||
global half * src = (global half *)((global char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + (n_offs + ic)*nb00);
|
||||
global half * dst_data = (global half *)((global char *) dst + i3*nb3 + i2*nb2 + i1*nb1 + (n_offs + ic)*nb0);
|
||||
|
||||
const float x0 = src[0];
|
||||
const float x1 = src[n_dims/2];
|
||||
|
||||
@@ -76,6 +76,19 @@ static void dequantize_row_q2_K_sycl(const void *vx, dst_t *y, const int64_t k,
|
||||
#endif
|
||||
}
|
||||
|
||||
template <typename dst_t>
|
||||
static void dequantize_row_q2_K_sycl_reorder(const void *vx, dst_t *y, const int64_t k,
|
||||
dpct::queue_ptr stream) {
|
||||
const int64_t nb = k / QK_K;
|
||||
|
||||
dpct::has_capability_or_fail(stream->get_device(), { sycl::aspect::fp16 });
|
||||
stream->parallel_for(
|
||||
sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * sycl::range<3>(1, 1, 64), sycl::range<3>(1, 1, 64)),
|
||||
[=](sycl::nd_item<3> item_ct1) {
|
||||
dequantize_block_q2_K_reorder(vx, y, item_ct1, nb);
|
||||
});
|
||||
}
|
||||
|
||||
template <typename dst_t>
|
||||
static void dequantize_row_q3_K_sycl(const void *vx, dst_t *y, const int64_t k,
|
||||
dpct::queue_ptr stream) {
|
||||
@@ -667,7 +680,11 @@ to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type, ggml_tensor * dst) {
|
||||
return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
|
||||
}
|
||||
case GGML_TYPE_Q2_K:
|
||||
return dequantize_row_q2_K_sycl;
|
||||
if (dst->src[0]->extra && ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
|
||||
return dequantize_row_q2_K_sycl_reorder;
|
||||
} else {
|
||||
return dequantize_row_q2_K_sycl;
|
||||
}
|
||||
case GGML_TYPE_Q3_K:
|
||||
if (dst->src[0]->extra && ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
|
||||
return dequantize_row_q3_K_sycl_reorder;
|
||||
@@ -753,7 +770,11 @@ to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type, ggml_tensor *dst) {
|
||||
return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
|
||||
}
|
||||
case GGML_TYPE_Q2_K:
|
||||
return dequantize_row_q2_K_sycl;
|
||||
if (dst->src[0]->extra && ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
|
||||
return dequantize_row_q2_K_sycl_reorder;
|
||||
} else {
|
||||
return dequantize_row_q2_K_sycl;
|
||||
}
|
||||
case GGML_TYPE_Q3_K:
|
||||
if (dst->src[0]->extra && ((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
|
||||
return dequantize_row_q3_K_sycl_reorder;
|
||||
|
||||
@@ -943,6 +943,47 @@ static void dequantize_block_q2_K(const void * __restrict__ vx, dst_t * __restri
|
||||
|
||||
}
|
||||
|
||||
template<typename dst_t>
|
||||
static void dequantize_block_q2_K_reorder(const void * __restrict__ vx, dst_t * __restrict__ yy,
|
||||
const sycl::nd_item<3> & item_ct1, int64_t n_blocks) {
|
||||
#if QK_K == 256
|
||||
const int64_t i = item_ct1.get_group(2);
|
||||
if (i >= n_blocks) {
|
||||
return;
|
||||
}
|
||||
|
||||
const uint8_t * base = static_cast<const uint8_t *>(vx);
|
||||
const size_t qs_offset = i * (QK_K / 4);
|
||||
const size_t scales_offset = n_blocks * (QK_K / 4) + i * (QK_K / 16);
|
||||
const size_t dm_offset = n_blocks * (QK_K / 4) + n_blocks * (QK_K / 16) + i * sizeof(ggml_half2);
|
||||
|
||||
const uint8_t * qs = base + qs_offset;
|
||||
const uint8_t * scales = base + scales_offset;
|
||||
const ggml_half2 * dm = reinterpret_cast<const ggml_half2 *>(base + dm_offset);
|
||||
|
||||
const int64_t tid = item_ct1.get_local_id(2);
|
||||
const int64_t n = tid / 32;
|
||||
const int64_t l = tid - 32 * n;
|
||||
const int64_t is = 8 * n + l / 16;
|
||||
|
||||
const uint8_t q = qs[32 * n + l];
|
||||
dst_t * y = yy + i * QK_K + 128 * n;
|
||||
|
||||
const float dall = (*dm)[0];
|
||||
const float dmin = (*dm)[1];
|
||||
y[l+ 0] = dall * (scales[is+0] & 0xF) * ((q >> 0) & 3) - dmin * (scales[is+0] >> 4);
|
||||
y[l+32] = dall * (scales[is+2] & 0xF) * ((q >> 2) & 3) - dmin * (scales[is+2] >> 4);
|
||||
y[l+64] = dall * (scales[is+4] & 0xF) * ((q >> 4) & 3) - dmin * (scales[is+4] >> 4);
|
||||
y[l+96] = dall * (scales[is+6] & 0xF) * ((q >> 6) & 3) - dmin * (scales[is+6] >> 4);
|
||||
#else
|
||||
GGML_UNUSED(vx);
|
||||
GGML_UNUSED(yy);
|
||||
GGML_UNUSED(item_ct1);
|
||||
GGML_UNUSED(n_blocks);
|
||||
GGML_ABORT("Q2_K reorder dequantize not supported for QK_K != 256");
|
||||
#endif
|
||||
}
|
||||
|
||||
template<typename dst_t>
|
||||
static void dequantize_block_q3_K(const void * __restrict__ vx, dst_t * __restrict__ yy,
|
||||
const sycl::nd_item<3> &item_ct1) {
|
||||
|
||||
@@ -1921,6 +1921,23 @@ ESIMD_INLINE void dequantize_mul_mat_vec_reorder_esimd(
|
||||
}
|
||||
}
|
||||
|
||||
static void dequantize_mul_mat_vec_q2_K_sycl_reorder_esimd(const void *vx, const float *y,
|
||||
float *dst, const int ncols,
|
||||
const int nrows,
|
||||
dpct::queue_ptr stream) {
|
||||
GGML_ASSERT(ncols % QK_K == 0);
|
||||
const int workgroups = (nrows + 1) / 2;
|
||||
stream->submit([&](sycl::handler &h) {
|
||||
sycl::local_accessor<float, 1> lmem(sycl::range<1>(GGML_SYCL_DMMV_ESIMD_WG_SIZE * 2), h);
|
||||
h.parallel_for(
|
||||
sycl::nd_range<1>(sycl::range<1>((size_t)workgroups * GGML_SYCL_DMMV_ESIMD_WG_SIZE), sycl::range<1>(GGML_SYCL_DMMV_ESIMD_WG_SIZE)),
|
||||
[=](sycl::nd_item<1> it) [[intel::sycl_explicit_simd]] {
|
||||
dequantize_mul_mat_vec_reorder_esimd<GGML_TYPE_Q2_K>(
|
||||
vx, y, dst, ncols, nrows, lmem, it);
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
static void dequantize_mul_mat_vec_q3_K_sycl_reorder_esimd(const void *vx, const float *y,
|
||||
float *dst, const int ncols,
|
||||
const int nrows,
|
||||
@@ -1955,6 +1972,23 @@ static void dequantize_mul_mat_vec_q4_K_sycl_reorder_esimd(const void *vx, const
|
||||
});
|
||||
}
|
||||
|
||||
static void dequantize_mul_mat_vec_q5_K_sycl_reorder_esimd(const void *vx, const float *y,
|
||||
float *dst, const int ncols,
|
||||
const int nrows,
|
||||
dpct::queue_ptr stream) {
|
||||
GGML_ASSERT(ncols % QK_K == 0);
|
||||
const int workgroups = (nrows + 1) / 2;
|
||||
stream->submit([&](sycl::handler &h) {
|
||||
sycl::local_accessor<float, 1> lmem(sycl::range<1>(GGML_SYCL_DMMV_ESIMD_WG_SIZE * 2), h);
|
||||
h.parallel_for(
|
||||
sycl::nd_range<1>(sycl::range<1>((size_t)workgroups * GGML_SYCL_DMMV_ESIMD_WG_SIZE), sycl::range<1>(GGML_SYCL_DMMV_ESIMD_WG_SIZE)),
|
||||
[=](sycl::nd_item<1> it) [[intel::sycl_explicit_simd]] {
|
||||
dequantize_mul_mat_vec_reorder_esimd<GGML_TYPE_Q5_K>(
|
||||
vx, y, dst, ncols, nrows, lmem, it);
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
static void dequantize_mul_mat_vec_q6_K_sycl_reorder_esimd(const void *vx, const float *y,
|
||||
float *dst, const int ncols,
|
||||
const int nrows,
|
||||
@@ -2094,7 +2128,15 @@ void ggml_sycl_op_dequantize_mul_mat_vec(
|
||||
case GGML_TYPE_Q2_K:
|
||||
if ((ggml_tensor_extra_gpu *) dst->src[0]->extra &&
|
||||
((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
|
||||
dequantize_mul_mat_vec_q2_K_sycl_reorder(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
|
||||
#ifdef GGML_SYCL_DMMV_HAS_ESIMD
|
||||
if (g_ggml_sycl_enable_esimd) {
|
||||
dequantize_mul_mat_vec_q2_K_sycl_reorder_esimd(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
|
||||
}
|
||||
else
|
||||
#endif
|
||||
{
|
||||
dequantize_mul_mat_vec_q2_K_sycl_reorder(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
|
||||
}
|
||||
} else {
|
||||
dequantize_mul_mat_vec_q2_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
|
||||
}
|
||||
@@ -2134,7 +2176,15 @@ void ggml_sycl_op_dequantize_mul_mat_vec(
|
||||
case GGML_TYPE_Q5_K:
|
||||
if ((ggml_tensor_extra_gpu *) dst->src[0]->extra &&
|
||||
((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
|
||||
dequantize_mul_mat_vec_q5_K_sycl_reorder(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
|
||||
#ifdef GGML_SYCL_DMMV_HAS_ESIMD
|
||||
if (g_ggml_sycl_enable_esimd) {
|
||||
dequantize_mul_mat_vec_q5_K_sycl_reorder_esimd(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
|
||||
}
|
||||
else
|
||||
#endif
|
||||
{
|
||||
dequantize_mul_mat_vec_q5_K_sycl_reorder(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
|
||||
}
|
||||
} else {
|
||||
dequantize_mul_mat_vec_q5_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
|
||||
}
|
||||
|
||||
@@ -62,7 +62,7 @@
|
||||
|
||||
#define DPCT_UNUSED(x) (void)(x)
|
||||
|
||||
inline void _abort(const char * str) {
|
||||
[[noreturn]] inline void _abort(const char * str) {
|
||||
std::cerr << str << std::endl;
|
||||
std::abort();
|
||||
}
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
(ITEM.get_local_range(IDX) * ITEM.get_group(IDX) + ITEM.get_local_id(IDX))
|
||||
|
||||
static void acc_f32(const char * x, const char * y, float * dst, const int64_t ne,
|
||||
const int64_t ne0, const int64_t ne1, const int64_t ne2, const int64_t ne3,
|
||||
const int64_t ne0, const int64_t ne1, const int64_t ne2,
|
||||
const int64_t nb00, const int64_t nb01, const int64_t nb02, const int64_t nb03,
|
||||
const int64_t ne10, const int64_t ne11, const int64_t ne12, const int64_t ne13,
|
||||
const int64_t nb10, const int64_t nb11, const int64_t nb12, const int64_t nb13,
|
||||
@@ -455,7 +455,7 @@ static void unary_mul_sycl(const T * x, const T * g, T * dst, const int64_t k, c
|
||||
namespace ggml_sycl_detail {
|
||||
static void acc_f32_sycl(const char *x, const char *y, float *dst,
|
||||
const int64_t n_elements,
|
||||
const int64_t ne0, const int64_t ne1, const int64_t ne2, const int64_t ne3,
|
||||
const int64_t ne0, const int64_t ne1, const int64_t ne2,
|
||||
const int64_t nb00, const int64_t nb01, const int64_t nb02, const int64_t nb03,
|
||||
const int64_t ne10, const int64_t ne11, const int64_t ne12, const int64_t ne13,
|
||||
const int64_t nb10, const int64_t nb11, const int64_t nb12, const int64_t nb13,
|
||||
@@ -466,7 +466,7 @@ static void acc_f32_sycl(const char *x, const char *y, float *dst,
|
||||
sycl::range<3>(1, 1, SYCL_ACC_BLOCK_SIZE)),
|
||||
[=](sycl::nd_item<3> /*item_ct1*/) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
|
||||
acc_f32(x, y, dst, n_elements,
|
||||
ne0, ne1, ne2, ne3,
|
||||
ne0, ne1, ne2,
|
||||
nb00, nb01, nb02, nb03,
|
||||
ne10, ne11, ne12, ne13,
|
||||
nb10, nb11, nb12, nb13,
|
||||
@@ -970,7 +970,7 @@ static inline void ggml_sycl_op_acc(ggml_backend_sycl_context & ctx, ggml_tensor
|
||||
const int64_t offset = (int64_t) ((const int32_t *) dst->op_params)[3] / (int64_t) sizeof(float);
|
||||
|
||||
ggml_sycl_detail::acc_f32_sycl(src0_d, src1_d, dst_d, ggml_nelements(dst),
|
||||
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3],
|
||||
dst->ne[0], dst->ne[1], dst->ne[2],
|
||||
src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3],
|
||||
src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3],
|
||||
src1->nb[0], src1->nb[1], src1->nb[2], src1->nb[3],
|
||||
|
||||
+209
-12
@@ -1,15 +1,3 @@
|
||||
//
|
||||
// MIT license
|
||||
// Copyright (C) 2026 Intel Corporation
|
||||
// SPDX-License-Identifier: MIT
|
||||
//
|
||||
|
||||
//
|
||||
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
|
||||
// See https://llvm.org/LICENSE.txt for license information.
|
||||
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
|
||||
//
|
||||
|
||||
#ifndef GGML_SYCL_ESIMD_HPP
|
||||
#define GGML_SYCL_ESIMD_HPP
|
||||
|
||||
@@ -73,6 +61,93 @@ static ESIMD_INLINE void unpack_scale_min_k4(
|
||||
min_f = convert<float>(m) * (-dmin);
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Q2_K, SOA reorder layout produced by reorder_qw_q2_k:
|
||||
// [qs: nb*(QK_K/4)] [scales: nb*(QK_K/16)] [dm: nb*sizeof(half2)]
|
||||
// with nb = nrows*num_blocks_per_row.
|
||||
//
|
||||
// 2 bits per weight. The 8 output chunks of 32 (matching dequantize_row_q2_K)
|
||||
// map to super-chunk s (0..7): byte base 32*(s/4) into the 64-byte qs array,
|
||||
// bit shift 2*(s%4); the low 16 lanes use scales[2s], the high 16 use
|
||||
// scales[2s+1], with dl = d*(sc & 0xF), ml = dmin*(sc >> 4), deq = dl*q - ml.
|
||||
// ---------------------------------------------------------------------------
|
||||
template <> struct esimd_reorder_q_traits<GGML_TYPE_Q2_K> {
|
||||
struct ptrs {
|
||||
const uint8_t * qs;
|
||||
const uint8_t * scales;
|
||||
const sycl::half * dm;
|
||||
};
|
||||
|
||||
static ESIMD_INLINE ptrs make_ptrs(const void * vx, size_t nb) {
|
||||
const uint8_t * qs = (const uint8_t *) vx;
|
||||
const uint8_t * scales = qs + nb * (QK_K / 4);
|
||||
const sycl::half * dm = (const sycl::half *) (scales + nb * (QK_K / 16));
|
||||
return { qs, scales, dm };
|
||||
}
|
||||
|
||||
static ESIMD_INLINE void mac_pair(
|
||||
const ptrs & pa, size_t bia,
|
||||
const ptrs & pb, size_t bib, bool has_b,
|
||||
sycl::ext::intel::esimd::simd<float, 256> & y_vec,
|
||||
sycl::ext::intel::esimd::simd<float, 32> & acc_a,
|
||||
sycl::ext::intel::esimd::simd<float, 32> & acc_b) {
|
||||
using namespace sycl::ext::intel::esimd;
|
||||
|
||||
simd<uint8_t, 64> qs_a = block_load<uint8_t, 64>(pa.qs + bia * (QK_K / 4));
|
||||
simd<uint8_t, 64> qs_b = 0;
|
||||
simd<uint8_t, 16> scales_a = block_load<uint8_t, 16>(pa.scales + bia * (QK_K / 16));
|
||||
simd<uint8_t, 16> scales_b = 0;
|
||||
|
||||
const float dall_a = (float) pa.dm[bia * 2 + 0];
|
||||
const float dmin_a = (float) pa.dm[bia * 2 + 1];
|
||||
float dall_b = 0.0f;
|
||||
float dmin_b = 0.0f;
|
||||
if (has_b) {
|
||||
qs_b = block_load<uint8_t, 64>(pb.qs + bib * (QK_K / 4));
|
||||
scales_b = block_load<uint8_t, 16>(pb.scales + bib * (QK_K / 16));
|
||||
dall_b = (float) pb.dm[bib * 2 + 0];
|
||||
dmin_b = (float) pb.dm[bib * 2 + 1];
|
||||
}
|
||||
|
||||
// per-chunk scale (d * (sc & 0xF)) and min (-dmin * (sc >> 4)), all 16 codes;
|
||||
// min carries the negation so the dequant epilogue adds (matches Q4_K/Q5_K)
|
||||
simd<float, 16> scale_f_a = convert<float>(scales_a & simd<uint8_t, 16>(0x0F)) * dall_a;
|
||||
simd<float, 16> min_f_a = convert<float>(scales_a >> simd<uint8_t, 16>(4)) * (-dmin_a);
|
||||
simd<float, 16> scale_f_b = convert<float>(scales_b & simd<uint8_t, 16>(0x0F)) * dall_b;
|
||||
simd<float, 16> min_f_b = convert<float>(scales_b >> simd<uint8_t, 16>(4)) * (-dmin_b);
|
||||
|
||||
#pragma unroll
|
||||
for (int s = 0; s < 8; ++s) {
|
||||
const int byte_base = 32 * (s / 4);
|
||||
const uint8_t shift = (uint8_t) (2 * (s % 4));
|
||||
simd<float, 32> y_s = y_vec.select<32, 1>(s * 32);
|
||||
|
||||
simd<uint8_t, 32> qa = (qs_a.select<32, 1>(byte_base) >> shift) & simd<uint8_t, 32>(3);
|
||||
simd<uint8_t, 32> qb = (qs_b.select<32, 1>(byte_base) >> shift) & simd<uint8_t, 32>(3);
|
||||
|
||||
const float scale_a_lo = scale_f_a[2 * s + 0];
|
||||
const float scale_a_hi = scale_f_a[2 * s + 1];
|
||||
const float min_a_lo = min_f_a[2 * s + 0];
|
||||
const float min_a_hi = min_f_a[2 * s + 1];
|
||||
const float scale_b_lo = scale_f_b[2 * s + 0];
|
||||
const float scale_b_hi = scale_f_b[2 * s + 1];
|
||||
const float min_b_lo = min_f_b[2 * s + 0];
|
||||
const float min_b_hi = min_f_b[2 * s + 1];
|
||||
|
||||
simd<float, 32> scale_vec_a = splat_lo_hi(scale_a_lo, scale_a_hi);
|
||||
simd<float, 32> min_vec_a = splat_lo_hi(min_a_lo, min_a_hi);
|
||||
simd<float, 32> scale_vec_b = splat_lo_hi(scale_b_lo, scale_b_hi);
|
||||
simd<float, 32> min_vec_b = splat_lo_hi(min_b_lo, min_b_hi);
|
||||
|
||||
simd<float, 32> deq_a = convert<float>(qa) * scale_vec_a + min_vec_a;
|
||||
simd<float, 32> deq_b = convert<float>(qb) * scale_vec_b + min_vec_b;
|
||||
|
||||
acc_a += y_s * deq_a;
|
||||
acc_b += y_s * deq_b;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Q3_K, SOA reorder layout produced by reorder_qw_q3_k:
|
||||
// [qs: nb*(QK_K/4)] [hmask: nb*(QK_K/8)] [scales: nb*12] [d: nb*sizeof(half)]
|
||||
@@ -287,6 +362,128 @@ template <> struct esimd_reorder_q_traits<GGML_TYPE_Q4_K> {
|
||||
}
|
||||
};
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Q5_K, SOA reorder layout produced by reorder_qw_q5_k:
|
||||
// [qs: nb*(QK_K/2)] [qh: nb*(QK_K/8)] [scales: nb*K_SCALE_SIZE] [dm: nb*sizeof(half2)]
|
||||
// with nb = nrows*num_blocks_per_row.
|
||||
//
|
||||
// Identical to Q4_K except each 4-bit quant gains a 5th (high) bit from qh:
|
||||
// output chunk c (0..7) adds 16 when bit c of qh[l] is set, where qh[l] indexes
|
||||
// the same 32 bytes for every chunk (matches dequantize_row_q5_K).
|
||||
// ---------------------------------------------------------------------------
|
||||
template <> struct esimd_reorder_q_traits<GGML_TYPE_Q5_K> {
|
||||
struct ptrs {
|
||||
const uint8_t * qs;
|
||||
const uint8_t * qh;
|
||||
const uint8_t * scales;
|
||||
const sycl::half * dm;
|
||||
};
|
||||
|
||||
static ESIMD_INLINE ptrs make_ptrs(const void * vx, size_t nb) {
|
||||
const uint8_t * qs = (const uint8_t *) vx;
|
||||
const uint8_t * qh = qs + nb * (QK_K / 2);
|
||||
const uint8_t * scales = qh + nb * (QK_K / 8);
|
||||
const sycl::half * dm = (const sycl::half *) (scales + nb * K_SCALE_SIZE);
|
||||
return { qs, qh, scales, dm };
|
||||
}
|
||||
|
||||
// extract bit `bit` (0..7) of each lane and move it to bit position 4,
|
||||
// e.g. for the 4-bit base quant's 5th (high) bit. `bit` is always a
|
||||
// compile-time-known unrolled loop constant at call sites, so this folds
|
||||
// to a single mask (bit==4), mask+left-shift (bit<4), or mask+right-shift
|
||||
// (bit>4) instead of the shift+mask+shift a naive `(qh>>bit & 1) << 4` emits.
|
||||
static ESIMD_INLINE sycl::ext::intel::esimd::simd<uint16_t, 32> extract_bit_to_pos4(
|
||||
sycl::ext::intel::esimd::simd<uint8_t, 32> qh, int bit) {
|
||||
using namespace sycl::ext::intel::esimd;
|
||||
simd<uint16_t, 32> masked = convert<uint16_t>(qh & simd<uint8_t, 32>((uint8_t) (1u << bit)));
|
||||
if (bit < 4) {
|
||||
return masked << simd<uint16_t, 32>((uint16_t) (4 - bit));
|
||||
} else if (bit > 4) {
|
||||
return masked >> simd<uint16_t, 32>((uint16_t) (bit - 4));
|
||||
}
|
||||
return masked;
|
||||
}
|
||||
|
||||
static ESIMD_INLINE void mac_pair(
|
||||
const ptrs & pa, size_t bia,
|
||||
const ptrs & pb, size_t bib, bool has_b,
|
||||
sycl::ext::intel::esimd::simd<float, 256> & y_vec,
|
||||
sycl::ext::intel::esimd::simd<float, 32> & acc_a,
|
||||
sycl::ext::intel::esimd::simd<float, 32> & acc_b) {
|
||||
using namespace sycl::ext::intel::esimd;
|
||||
|
||||
simd<uint8_t, 128> qs_a = block_load<uint8_t, 128>(pa.qs + bia * (QK_K / 2));
|
||||
simd<uint8_t, 128> qs_b = 0;
|
||||
simd<uint8_t, 32> qh_a = block_load<uint8_t, 32>(pa.qh + bia * (QK_K / 8));
|
||||
simd<uint8_t, 32> qh_b = 0;
|
||||
simd<uint8_t, 12> scales_a = block_load<uint8_t, 12>(pa.scales + bia * K_SCALE_SIZE);
|
||||
simd<uint8_t, 12> scales_b = 0;
|
||||
|
||||
const float dall_a = (float) pa.dm[bia * 2 + 0];
|
||||
const float dmin_a = (float) pa.dm[bia * 2 + 1];
|
||||
float dall_b = 0.0f;
|
||||
float dmin_b = 0.0f;
|
||||
if (has_b) {
|
||||
qs_b = block_load<uint8_t, 128>(pb.qs + bib * (QK_K / 2));
|
||||
qh_b = block_load<uint8_t, 32>(pb.qh + bib * (QK_K / 8));
|
||||
scales_b = block_load<uint8_t, 12>(pb.scales + bib * K_SCALE_SIZE);
|
||||
dall_b = (float) pb.dm[bib * 2 + 0];
|
||||
dmin_b = (float) pb.dm[bib * 2 + 1];
|
||||
}
|
||||
|
||||
simd<float, 8> scale_f_a, min_f_a, scale_f_b, min_f_b;
|
||||
unpack_scale_min_k4(scales_a, dall_a, dmin_a, scale_f_a, min_f_a);
|
||||
unpack_scale_min_k4(scales_b, dall_b, dmin_b, scale_f_b, min_f_b);
|
||||
|
||||
simd<uint8_t, 128> qs_lo_a = qs_a & simd<uint8_t, 128>(0x0F);
|
||||
simd<uint8_t, 128> qs_hi_a = qs_a >> simd<uint8_t, 128>(4);
|
||||
simd<uint8_t, 128> qs_lo_b = qs_b & simd<uint8_t, 128>(0x0F);
|
||||
simd<uint8_t, 128> qs_hi_b = qs_b >> simd<uint8_t, 128>(4);
|
||||
|
||||
#pragma unroll
|
||||
for (int sb = 0; sb < 8; sb += 2) {
|
||||
const int q_offset = sb * 16;
|
||||
simd<float, 32> y_lo = y_vec.select<32, 1>(sb * 32);
|
||||
simd<float, 32> y_hi = y_vec.select<32, 1>((sb + 1) * 32);
|
||||
|
||||
const float scale_a_lo = scale_f_a[sb];
|
||||
const float scale_a_hi = scale_f_a[sb + 1];
|
||||
const float min_a_lo = min_f_a[sb];
|
||||
const float min_a_hi = min_f_a[sb + 1];
|
||||
const float scale_b_lo = scale_f_b[sb];
|
||||
const float scale_b_hi = scale_f_b[sb + 1];
|
||||
const float min_b_lo = min_f_b[sb];
|
||||
const float min_b_hi = min_f_b[sb + 1];
|
||||
|
||||
simd<uint8_t, 32> qa_lo_u8 = qs_lo_a.select<32, 1>(q_offset);
|
||||
simd<uint8_t, 32> qa_hi_u8 = qs_hi_a.select<32, 1>(q_offset);
|
||||
simd<uint8_t, 32> qb_lo_u8 = qs_lo_b.select<32, 1>(q_offset);
|
||||
simd<uint8_t, 32> qb_hi_u8 = qs_hi_b.select<32, 1>(q_offset);
|
||||
simd<uint16_t, 32> qa_lo = convert<uint16_t>(qa_lo_u8);
|
||||
simd<uint16_t, 32> qa_hi = convert<uint16_t>(qa_hi_u8);
|
||||
simd<uint16_t, 32> qb_lo = convert<uint16_t>(qb_lo_u8);
|
||||
simd<uint16_t, 32> qb_hi = convert<uint16_t>(qb_hi_u8);
|
||||
|
||||
// add the 5th bit: chunk sb uses qh bit sb, chunk sb+1 uses qh bit sb+1;
|
||||
// qh always indexes the same 32 bytes regardless of chunk
|
||||
qa_lo += extract_bit_to_pos4(qh_a, sb);
|
||||
qa_hi += extract_bit_to_pos4(qh_a, sb + 1);
|
||||
qb_lo += extract_bit_to_pos4(qh_b, sb);
|
||||
qb_hi += extract_bit_to_pos4(qh_b, sb + 1);
|
||||
|
||||
simd<float, 32> deq_a_lo = convert<float>(qa_lo) * scale_a_lo + min_a_lo;
|
||||
simd<float, 32> deq_a_hi = convert<float>(qa_hi) * scale_a_hi + min_a_hi;
|
||||
simd<float, 32> deq_b_lo = convert<float>(qb_lo) * scale_b_lo + min_b_lo;
|
||||
simd<float, 32> deq_b_hi = convert<float>(qb_hi) * scale_b_hi + min_b_hi;
|
||||
|
||||
acc_a += y_lo * deq_a_lo;
|
||||
acc_b += y_lo * deq_b_lo;
|
||||
acc_a += y_hi * deq_a_hi;
|
||||
acc_b += y_hi * deq_b_hi;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Q6_K, SOA reorder layout:
|
||||
// [ql: nb*(QK_K/2)] [qh: nb*(QK_K/4)] [scales(int8): nb*(QK_K/16)] [d: nb*half]
|
||||
|
||||
@@ -43,7 +43,7 @@ static void mkl_fa_pack_q_fp16(
|
||||
dpct::queue_ptr stream,
|
||||
sycl::half * __restrict dst,
|
||||
const float * __restrict q_src,
|
||||
int n_queries, int n_query_rows, int DKQ,
|
||||
int n_queries, int DKQ,
|
||||
int gqa_ratio, int kvh_base_head,
|
||||
float q_scale, int64_t q_row_stride, int64_t q_head_stride,
|
||||
int64_t wg_size) {
|
||||
@@ -121,7 +121,7 @@ static void mkl_fa_online_softmax_chunk(
|
||||
float * __restrict VKQ_accum,
|
||||
int q0, int q_rows, int n_queries, int DV,
|
||||
int chunk_size, int chunk_start,
|
||||
int kvh_head, int gqa_ratio,
|
||||
int kvh_head,
|
||||
const sycl::half * mask_data, int64_t mask_head_stride,
|
||||
int64_t mask_row_stride, int mask_n_heads,
|
||||
float logit_softcap, int64_t wg_size) {
|
||||
@@ -473,7 +473,6 @@ void ggml_sycl_flash_attn_ext_mkl(ggml_backend_sycl_context & ctx, ggml_tensor *
|
||||
MKL_ACCUM(dequant_time_us, t_deq);
|
||||
|
||||
// --- Resolve mask pointers ---
|
||||
const sycl::half * mask_data = nullptr;
|
||||
int64_t mask_head_stride = 0;
|
||||
int64_t mask_row_stride = 0;
|
||||
int mask_n_heads = 0;
|
||||
@@ -547,7 +546,7 @@ void ggml_sycl_flash_attn_ext_mkl(ggml_backend_sycl_context & ctx, ggml_tensor *
|
||||
// 1. Pack all GQA Q heads into fp16 (full n_query_rows)
|
||||
mkl_fa_pack_q_fp16(stream,
|
||||
Q_head_f16_ptr, Q_batch,
|
||||
n_queries, n_query_rows, DKQ,
|
||||
n_queries, DKQ,
|
||||
gqa_ratio, kvh_base_head,
|
||||
q_scale, q_row_stride, q_head_stride, wg_size);
|
||||
|
||||
@@ -605,7 +604,7 @@ void ggml_sycl_flash_attn_ext_mkl(ggml_backend_sycl_context & ctx, ggml_tensor *
|
||||
KQ_max_ptr, KQ_sum_ptr, VKQ_accum_ptr,
|
||||
q0, q_rows, n_queries, DV,
|
||||
this_chunk, chunk_start,
|
||||
kvh_base_head, gqa_ratio,
|
||||
kvh_base_head,
|
||||
mask_batch, mask_head_stride,
|
||||
mask_row_stride, mask_n_heads,
|
||||
logit_softcap, wg_size);
|
||||
|
||||
@@ -21,14 +21,6 @@ bool ggml_sycl_flash_attn_ext_onednn_supported(const ggml_tensor * dst) {
|
||||
if (!g_ggml_sycl_fa_onednn) {
|
||||
return false;
|
||||
}
|
||||
// Battlemage (Xe2) only, for now. On other Intel archs oneDNN's fused SDPA returns wrong results
|
||||
// for some shapes (e.g. head_dim=64 on Arc / xe_hpg) -- an oneDNN bug tracked upstream at
|
||||
// https://github.com/uxlfoundation/oneDNN/issues/5510. Remove this hardware limitation once that
|
||||
// is fixed; until then non-BMG archs fall back to the existing FA kernel.
|
||||
const gpu_arch arch = ggml_sycl_info().devices[ggml_sycl_get_device()].hw_info.arch;
|
||||
if (arch != gpu_arch::intel_gpu_bmg_g21 && arch != gpu_arch::intel_gpu_bmg_g31) {
|
||||
return false;
|
||||
}
|
||||
const ggml_tensor * Q = dst->src[0];
|
||||
const ggml_tensor * K = dst->src[1];
|
||||
const ggml_tensor * V = dst->src[2];
|
||||
@@ -60,6 +52,17 @@ bool ggml_sycl_flash_attn_ext_onednn_supported(const ggml_tensor * dst) {
|
||||
}
|
||||
}
|
||||
}
|
||||
// This is the improved SPDA gate. Rather than gating Alchemist GPUs from all SPDA features, we instead target only the failing shapes.
|
||||
// If the GPU being assessed isn't in the grouping below, it has full access to all SPDA shapes. Otherwise, if it's an Alchemist GPU, we block only the shapes with head sizes that fail.
|
||||
// It is much easier to compare the device to a small list of failing cases than to define all the passing ones.
|
||||
const gpu_arch arch = ggml_sycl_info().devices[ggml_sycl_get_device()].hw_info.arch;
|
||||
bool support_spda = !(arch == gpu_arch::intel_gpu_dg2_g10 ||
|
||||
arch == gpu_arch::intel_gpu_dg2_g11 ||
|
||||
arch == gpu_arch::intel_gpu_dg2_g12);
|
||||
|
||||
if (!support_spda && K->ne[0] == 64) {
|
||||
return false;
|
||||
}
|
||||
// Optional KV-length ceiling (GGML_SYCL_FA_ONEDNN_MAX_KV, 0 = unlimited). Escape hatch:
|
||||
// very long sequences make the fused SDPA slow enough to risk the xe driver watchdog on
|
||||
// some stacks; past the cap we fall back to the native FA kernel instead.
|
||||
|
||||
@@ -921,16 +921,16 @@ ggml_backend_sycl_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft,
|
||||
|
||||
void * dev_ptr;
|
||||
if (use_usm_system) {
|
||||
GGML_SYCL_DEBUG("[SYCL] allocating %lu Bytes with USM system\n", size);
|
||||
GGML_SYCL_DEBUG("[SYCL] allocating %zu Bytes with USM system\n", size);
|
||||
dev_ptr = (void *)aligned_malloc_host(alignment, aligned_size);
|
||||
if (!dev_ptr) {
|
||||
GGML_LOG_ERROR("%s: can't allocate %lu Bytes of memory on host\n", __func__, size);
|
||||
GGML_LOG_ERROR("%s: can't allocate %zu Bytes of memory on host\n", __func__, size);
|
||||
return nullptr;
|
||||
}
|
||||
} else {
|
||||
SYCL_CHECK(CHECK_TRY_ERROR(dev_ptr = (void *)ggml_sycl_malloc_device(size, *stream)));
|
||||
if (!dev_ptr) {
|
||||
GGML_LOG_ERROR("%s: can't allocate %lu Bytes of memory on device\n", __func__, size);
|
||||
GGML_LOG_ERROR("%s: can't allocate %zu Bytes of memory on device\n", __func__, size);
|
||||
return nullptr;
|
||||
}
|
||||
}
|
||||
@@ -1177,7 +1177,7 @@ ggml_backend_sycl_split_buffer_init_tensor(ggml_backend_buffer_t buffer,
|
||||
SYCL_CHECK(CHECK_TRY_ERROR(buf = (char *)ggml_sycl_malloc_device(size, *stream)));
|
||||
if (!buf) {
|
||||
char err_buf[1024];
|
||||
snprintf(err_buf, 1023, "%s: can't allocate %lu Bytes of memory on device\n", __func__, size);
|
||||
snprintf(err_buf, 1023, "%s: can't allocate %zu Bytes of memory on device\n", __func__, size);
|
||||
throw std::runtime_error(err_buf);
|
||||
}
|
||||
// set padding to 0 to avoid possible NaN values
|
||||
@@ -1517,8 +1517,13 @@ static ggml_backend_buffer_t ggml_backend_sycl_host_buffer_type_alloc_buffer(ggm
|
||||
}
|
||||
|
||||
static size_t ggml_backend_sycl_host_buffer_type_get_max_size(ggml_backend_buffer_type_t buft) {
|
||||
ggml_backend_sycl_device_context * dev_ctx = (ggml_backend_sycl_device_context *) buft->device->context;
|
||||
return dpct::dev_mgr::instance().get_device(dev_ctx->device).get_max_mem_alloc_size();
|
||||
|
||||
if (g_ggml_sycl_enable_host_pinned_mem) {
|
||||
ggml_backend_sycl_device_context * dev_ctx = (ggml_backend_sycl_device_context *) buft->device->context;
|
||||
return dpct::dev_mgr::instance().get_device(dev_ctx->device).get_max_mem_alloc_size();
|
||||
} else {
|
||||
return SIZE_MAX;
|
||||
}
|
||||
}
|
||||
|
||||
ggml_backend_buffer_type_t ggml_backend_sycl_host_buffer_type() {
|
||||
@@ -1646,7 +1651,7 @@ struct ggml_sycl_pool_leg : public ggml_sycl_pool {
|
||||
|
||||
SYCL_CHECK(CHECK_TRY_ERROR(ptr = (void *)ggml_sycl_malloc_device(look_ahead_size, *qptr)));
|
||||
if (!ptr) {
|
||||
GGML_LOG_ERROR("%s: can't allocate %lu Bytes of memory on device/GPU\n", __func__, look_ahead_size);
|
||||
GGML_LOG_ERROR("%s: can't allocate %zu Bytes of memory on device/GPU\n", __func__, look_ahead_size);
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
@@ -1658,7 +1663,7 @@ struct ggml_sycl_pool_leg : public ggml_sycl_pool {
|
||||
(uint32_t)(max_size/1024/1024), (uint32_t)(g_sycl_pool_size[id]/1024/1024), (uint32_t)(size/1024/1024));
|
||||
#endif
|
||||
|
||||
// GGML_SYCL_DEBUG("ggml_sycl_pool_malloc_leg look_ahead_size=%lu, return %p\n", look_ahead_size, ptr);
|
||||
// GGML_SYCL_DEBUG("ggml_sycl_pool_malloc_leg look_ahead_size=%zu, return %p\n", look_ahead_size, ptr);
|
||||
return ptr;
|
||||
}
|
||||
|
||||
@@ -1838,7 +1843,7 @@ struct ggml_sycl_pool_host : public ggml_sycl_pool {
|
||||
|
||||
SYCL_CHECK(CHECK_TRY_ERROR(ptr = (void *) sycl::malloc_host(size, *qptr)));
|
||||
if (!ptr) {
|
||||
GGML_LOG_ERROR("%s: can't allocate %lu Bytes of memory on host\n", __func__, size);
|
||||
GGML_LOG_ERROR("%s: can't allocate %zu Bytes of memory on host\n", __func__, size);
|
||||
return nullptr;
|
||||
}
|
||||
pool_size += size;
|
||||
@@ -2774,9 +2779,9 @@ inline void ggml_sycl_op_mul_mat_sycl(
|
||||
const float * src1_ddf1_i = src1->type == GGML_TYPE_F32 ? (const float *) src1_ddf_i : src1_ddq_as_f32.get();
|
||||
|
||||
{
|
||||
#if GGML_SYCL_DNNL
|
||||
const int64_t gemm_flops = (int64_t)row_diff * src1_ncols * ne10;
|
||||
const bool use_mkl_direct = gemm_flops < 256 * 256 * 256;
|
||||
#if GGML_SYCL_DNNL
|
||||
if (g_ggml_sycl_enable_dnn && !use_mkl_direct) {
|
||||
DnnlGemmWrapper::row_gemm(ctx, row_diff, src1_ncols, ne10, src0_ddf_i,
|
||||
DnnlGemmWrapper::to_dt<float>(), src1_ddf1_i, DnnlGemmWrapper::to_dt<float>(),
|
||||
@@ -3513,7 +3518,9 @@ static void ggml_sycl_mul_mat_batched_sycl(ggml_backend_sycl_context & ctx, cons
|
||||
float * dst_ddf = static_cast<float *>(dst->data);
|
||||
|
||||
const sycl::half * src1_f16 = static_cast<const sycl::half *>(src1->data);
|
||||
#if GGML_SYCL_DNNL
|
||||
const size_t type_size_src0 = ggml_type_size(src0->type);
|
||||
#endif
|
||||
const size_t type_size_src1 = ggml_type_size(src1->type);
|
||||
|
||||
bool is_src0_cont_2 = ggml_is_contiguous_2(src0);
|
||||
@@ -3530,6 +3537,7 @@ static void ggml_sycl_mul_mat_batched_sycl(ggml_backend_sycl_context & ctx, cons
|
||||
scope_op_debug_print scope_dbg_print(__func__, "/to_fp16_nc_sycl", dst, /*num_src=*/2,
|
||||
" : converting src1 to fp16");
|
||||
|
||||
#if GGML_SYCL_DNNL
|
||||
// iterate tensor dims and find the slowest moving dim and stride
|
||||
int last_dim=0;
|
||||
int last_str=0;
|
||||
@@ -3549,7 +3557,6 @@ static void ggml_sycl_mul_mat_batched_sycl(ggml_backend_sycl_context & ctx, cons
|
||||
}
|
||||
|
||||
}
|
||||
#if GGML_SYCL_DNNL
|
||||
// oneDNN handles strided data and does not need overhead of ggml_get_to_fp16_nc_sycl
|
||||
const int64_t ne_src1 = src1->nb[last_str] * src1->ne[last_dim] / type_size_src1;
|
||||
src1_f16_alloc.alloc(ne_src1);
|
||||
@@ -3789,6 +3796,7 @@ inline bool ggml_sycl_supports_reorder_mmvq(enum ggml_type type) {
|
||||
case GGML_TYPE_Q1_0:
|
||||
case GGML_TYPE_Q4_0:
|
||||
case GGML_TYPE_Q8_0:
|
||||
case GGML_TYPE_Q2_K:
|
||||
case GGML_TYPE_Q3_K:
|
||||
case GGML_TYPE_Q4_K:
|
||||
case GGML_TYPE_Q5_K:
|
||||
@@ -3802,8 +3810,10 @@ inline bool ggml_sycl_supports_reorder_mmvq(enum ggml_type type) {
|
||||
static bool ggml_sycl_supports_reorder_esimd(enum ggml_type type) {
|
||||
#ifdef GGML_SYCL_DMMV_HAS_ESIMD
|
||||
switch (type) {
|
||||
case GGML_TYPE_Q2_K:
|
||||
case GGML_TYPE_Q3_K:
|
||||
case GGML_TYPE_Q4_K:
|
||||
case GGML_TYPE_Q5_K:
|
||||
case GGML_TYPE_Q6_K:
|
||||
return true;
|
||||
default:
|
||||
@@ -6242,8 +6252,6 @@ static bool do_ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, cons
|
||||
}
|
||||
case GGML_OP_ROPE:
|
||||
case GGML_OP_ROPE_BACK:
|
||||
// FIXME: support ggml_rope_set_offset
|
||||
return ((const int32_t *) op->op_params)[15] == 0;
|
||||
case GGML_OP_IM2COL:
|
||||
case GGML_OP_IM2COL_3D:
|
||||
case GGML_OP_UPSCALE:
|
||||
|
||||
@@ -85,7 +85,7 @@ static void im2col_sycl(const float * x,
|
||||
*/
|
||||
stream->parallel_for(sycl::nd_range<3>(block_nums * sycl::range<3>(1, 1, MIN(IC_KH_KW, SYCL_IM2COL_BLOCK_SIZE)),
|
||||
sycl::range<3>(1, 1, MIN(IC_KH_KW, SYCL_IM2COL_BLOCK_SIZE))),
|
||||
[=](sycl::nd_item<3> item_ct1) {
|
||||
[=](sycl::nd_item<3>) {
|
||||
im2col_kernel(x, dst, IC, IW, IH, OH, OW, KW, KH, IC_IH_IW, IH_IW, N_OH, KH_KW, IC_KH_KW,
|
||||
s0, s1, p0, p1, d0, d1);
|
||||
});
|
||||
@@ -271,7 +271,7 @@ static void im2col_3d_sycl(const float * src,
|
||||
*/
|
||||
stream->parallel_for(sycl::nd_range<3>(block_nums * sycl::range<3>(1, 1, MIN(IC_KD_KH_KW, SYCL_IM2COL_BLOCK_SIZE)),
|
||||
sycl::range<3>(1, 1, MIN(IC_KD_KH_KW, SYCL_IM2COL_BLOCK_SIZE))),
|
||||
[=](sycl::nd_item<3> item_ct1) {
|
||||
[=](sycl::nd_item<3>) {
|
||||
im2col_3d_kernel(src, dst, N, IC, ID, IH, IW, OC, KD, KH, KW, OD, OH, OW, OH_OW, KD_KH_KW,
|
||||
ID_IH_IW, KH_KW, IH_IW, IC_ID_IH_IW, IC_KD_KH_KW, OW_KD_KH_KW,
|
||||
OD_OH_OW_IC_KD_KH_KW, OH_OW_IC_KD_KH_KW, OW_IC_KD_KH_KW, N_OD_OH, OD_OH,
|
||||
|
||||
@@ -1401,6 +1401,64 @@ static void mul_mat_vec_q2_K_q8_1_sycl_switch_ncols(
|
||||
}
|
||||
}
|
||||
|
||||
static void reorder_mul_mat_vec_q2_k_q8_1_sycl(const void * vx, const void * vy, float * dst, const int ncols,
|
||||
const int nrows, dpct::queue_ptr stream) {
|
||||
GGML_ASSERT(ncols % QK_K == 0);
|
||||
|
||||
// Round up to a whole number of subgroup-sized workgroups; out-of-range rows are skipped inside the kernel.
|
||||
constexpr size_t num_subgroups = WARP_SIZE;
|
||||
const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y * (int) num_subgroups);
|
||||
const sycl::range<3> block_nums(1, 1, block_num_y);
|
||||
const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
|
||||
|
||||
stream->submit([&](sycl::handler & cgh) {
|
||||
cgh.parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims),
|
||||
[=](sycl::nd_item<3> nd_item) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
|
||||
mul_mat_vec_q_reorder<reorder_vec_dot_q_sycl<GGML_TYPE_Q2_K>>(vx, vy, dst, ncols, nrows,
|
||||
nd_item);
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
template <int ncols_dst>
|
||||
static void reorder_mul_mat_vec_q2_k_q8_1_sycl_ncols(
|
||||
const void * vx, const void * vy, float * dst,
|
||||
const int ncols, const int nrows,
|
||||
const int stride_col_y_bytes, const int stride_col_dst,
|
||||
dpct::queue_ptr stream) {
|
||||
GGML_ASSERT(ncols % QK_K == 0);
|
||||
constexpr size_t num_subgroups = WARP_SIZE;
|
||||
const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y * (int) num_subgroups);
|
||||
const sycl::range<3> block_nums(1, 1, block_num_y);
|
||||
const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
|
||||
|
||||
stream->submit([&](sycl::handler & cgh) {
|
||||
cgh.parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims),
|
||||
[=](sycl::nd_item<3> nd_item) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
|
||||
mul_mat_vec_q_reorder_ncols<reorder_vec_dot_q_sycl<GGML_TYPE_Q2_K>, ncols_dst>(
|
||||
vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, nd_item);
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
static void reorder_mul_mat_vec_q2_k_q8_1_sycl_switch_ncols(
|
||||
const void * vx, const void * vy, float * dst,
|
||||
const int ncols, const int nrows, const int ncols_dst,
|
||||
const int stride_col_y_bytes, const int stride_col_dst,
|
||||
dpct::queue_ptr stream) {
|
||||
switch (ncols_dst) {
|
||||
case 1: reorder_mul_mat_vec_q2_k_q8_1_sycl(vx, vy, dst, ncols, nrows, stream); break;
|
||||
case 2: reorder_mul_mat_vec_q2_k_q8_1_sycl_ncols<2>(vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, stream); break;
|
||||
case 3: reorder_mul_mat_vec_q2_k_q8_1_sycl_ncols<3>(vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, stream); break;
|
||||
case 4: reorder_mul_mat_vec_q2_k_q8_1_sycl_ncols<4>(vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, stream); break;
|
||||
case 5: reorder_mul_mat_vec_q2_k_q8_1_sycl_ncols<5>(vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, stream); break;
|
||||
case 6: reorder_mul_mat_vec_q2_k_q8_1_sycl_ncols<6>(vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, stream); break;
|
||||
case 7: reorder_mul_mat_vec_q2_k_q8_1_sycl_ncols<7>(vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, stream); break;
|
||||
case 8: reorder_mul_mat_vec_q2_k_q8_1_sycl_ncols<8>(vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, stream); break;
|
||||
default: GGML_ABORT("unsupported ncols_dst=%d for Q2_K reorder multi-col MMVQ", ncols_dst);
|
||||
}
|
||||
}
|
||||
|
||||
static void mul_mat_vec_q3_K_q8_1_sycl(const void *vx, const void *vy,
|
||||
float *dst, const int ncols,
|
||||
const int nrows,
|
||||
@@ -2297,7 +2355,21 @@ void ggml_sycl_op_mul_mat_vec_q(ggml_backend_sycl_context & ctx, const ggml_tens
|
||||
}
|
||||
break;
|
||||
case GGML_TYPE_Q2_K:
|
||||
if (i == 0 && src1_ncols > 1 && src1_ncols <= 8) {
|
||||
if ((ggml_tensor_extra_gpu *) dst->src[0]->extra &&
|
||||
((ggml_tensor_extra_gpu *) dst->src[0]->extra)->optimized_feature.reorder) {
|
||||
if (i == 0 && src1_ncols > 1 && src1_ncols <= 8) {
|
||||
const int stride_col_y_bytes = src1_padded_col_size * q8_1_ts / q8_1_bs;
|
||||
const int stride_col_dst = dst->ne[0];
|
||||
GGML_SYCL_DEBUG("Calling reorder_mul_mat_vec_q2_k_q8_1_sycl_switch_ncols ncols=%d\n", (int)src1_ncols);
|
||||
reorder_mul_mat_vec_q2_k_q8_1_sycl_switch_ncols(
|
||||
src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff,
|
||||
src1_ncols, stride_col_y_bytes, stride_col_dst, stream);
|
||||
return;
|
||||
} else {
|
||||
GGML_SYCL_DEBUG("Calling reorder_mul_mat_vec_q2_k_q8_1_sycl\n");
|
||||
reorder_mul_mat_vec_q2_k_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
|
||||
}
|
||||
} else if (i == 0 && src1_ncols > 1 && src1_ncols <= 8) {
|
||||
const int stride_col_y = src1_padded_col_size / QK8_1;
|
||||
const int stride_col_dst = dst->ne[0];
|
||||
GGML_SYCL_DEBUG("Calling mul_mat_vec_q2_K_q8_1_sycl_switch_ncols ncols=%d\n", (int)src1_ncols);
|
||||
@@ -2306,6 +2378,7 @@ void ggml_sycl_op_mul_mat_vec_q(ggml_backend_sycl_context & ctx, const ggml_tens
|
||||
src1_ncols, stride_col_y, stride_col_dst, stream);
|
||||
return;
|
||||
} else if (i == 0 || src1_ncols == 1) {
|
||||
GGML_SYCL_DEBUG("Calling mul_mat_vec_q2_K_q8_1_sycl\n");
|
||||
mul_mat_vec_q2_K_q8_1_sycl(src0_dd_i, src1_ddq_i_bs, dst_dd_i_bs, ne00, row_diff, stream);
|
||||
}
|
||||
break;
|
||||
|
||||
@@ -7,9 +7,6 @@ static void norm_f32(const float* x, float* dst, const int ncols,
|
||||
const int64_t dst_stride_col, const int64_t dst_stride_row, const int64_t dst_stride_channel, const int64_t dst_stride_sample,
|
||||
const float eps, const sycl::nd_item<3>& item_ct1, sycl::float2* s_sum, int block_size) {
|
||||
|
||||
const int nrows = item_ct1.get_group_range(2);
|
||||
const int nchannels = item_ct1.get_group_range(1);
|
||||
|
||||
const int nthreads = item_ct1.get_local_range(2);
|
||||
const int sample = item_ct1.get_group(0);
|
||||
const int channel = item_ct1.get_group(1);
|
||||
@@ -155,9 +152,6 @@ static void rms_norm_f32(const float* x, float* dst, const int ncols,
|
||||
const float* mul = nullptr, const int64_t mul_stride_row = 0, const int64_t mul_stride_channel = 0,
|
||||
const int64_t mul_stride_sample = 0, const int mul_nrows = 0, const int mul_nchannels = 0, const int mul_nsamples = 0) {
|
||||
|
||||
const int nrows = item_ct1.get_group_range(2);
|
||||
const int nchannels = item_ct1.get_group_range(1);
|
||||
|
||||
const int sample = item_ct1.get_group(0);
|
||||
const int channel = item_ct1.get_group(1);
|
||||
const int row = item_ct1.get_group(2);
|
||||
@@ -225,8 +219,6 @@ static void l2_norm_f32(const float * x, float * dst, const int ncols,
|
||||
const int64_t src_stride_sample, const int64_t dst_stride_col, const int64_t dst_stride_row,
|
||||
const int64_t dst_stride_channel, const int64_t dst_stride_sample, const float eps,
|
||||
const sycl::nd_item<3>& item_ct1, float* s_sum, const int block_size) {
|
||||
const int nrows = item_ct1.get_group_range(2);
|
||||
const int nchannels = item_ct1.get_group_range(1);
|
||||
|
||||
const int row = item_ct1.get_group(2);
|
||||
const int channel = item_ct1.get_group(1);
|
||||
|
||||
@@ -58,6 +58,29 @@ template <> struct block_q_t<GGML_TYPE_Q4_0> {
|
||||
static constexpr int block_to_q8_1_ratio() { return traits::qk / QK8_1; }
|
||||
};
|
||||
|
||||
template <> struct block_q_t<GGML_TYPE_Q2_K> {
|
||||
struct traits {
|
||||
static constexpr uint32_t qk = QK_K;
|
||||
static constexpr uint32_t qi = QI2_K;
|
||||
static constexpr uint32_t qr = QR2_K;
|
||||
static constexpr uint32_t vdr_mmvq = 1;
|
||||
};
|
||||
|
||||
// Reordered layout: [qs (QK_K/4 per block)] [scales (QK_K/16 per block)] [dm]
|
||||
static constexpr std::pair<int, int> get_block_offset(const int block_index, const int /* n_blocks */) {
|
||||
return { block_index * (QK_K / 4), 0 };
|
||||
}
|
||||
|
||||
static constexpr std::pair<int, int> get_d_offset(int nrows, int ncols, const int block_index) {
|
||||
auto nblocks = (nrows * (ncols / QK_K));
|
||||
auto total_qs_bytes = nblocks * (QK_K / 4);
|
||||
return { total_qs_bytes + block_index * (QK_K / 16),
|
||||
total_qs_bytes + nblocks * (QK_K / 16) + block_index * sizeof(ggml_half2) };
|
||||
}
|
||||
|
||||
static constexpr int block_to_q8_1_ratio() { return traits::qk / QK8_1; }
|
||||
};
|
||||
|
||||
template <> struct block_q_t<GGML_TYPE_Q3_K> {
|
||||
struct traits {
|
||||
static constexpr uint32_t qk = QK_K;
|
||||
|
||||
+58
-48
@@ -41,7 +41,7 @@ template <bool forward, bool has_ff, typename T, typename D>
|
||||
static void rope_norm(const T *x, D *dst, const int ne00, const int ne01,
|
||||
const int ne02, const int s01, const int s02,
|
||||
const int s03, const int s1, const int s2, const int s3,
|
||||
const int n_dims, const int32_t *pos,
|
||||
const int n_dims, const int n_offs, const int32_t *pos,
|
||||
const float freq_scale, const float ext_factor,
|
||||
const float attn_factor, const rope_corr_dims corr_dims,
|
||||
const float theta_scale, const float *freq_factors,
|
||||
@@ -78,19 +78,21 @@ static void rope_norm(const T *x, D *dst, const int ne00, const int ne01,
|
||||
ggml_sycl_memcpy_1<4>(dst + idst, &v);
|
||||
}
|
||||
};
|
||||
if (i0 >= n_dims) {
|
||||
if (i0 < n_offs || i0 >= n_offs + n_dims) {
|
||||
store_coaelsced(x[ix + 0], x[ix + 1]);
|
||||
return;
|
||||
}
|
||||
|
||||
const float theta_base = pos[i2] * dpct::pow(theta_scale, i0 / 2.0f);
|
||||
const int iw = i0 - n_offs; // relative idx
|
||||
|
||||
const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f;
|
||||
const float theta_base = pos[i2] * dpct::pow(theta_scale, iw / 2.0f);
|
||||
|
||||
const float freq_factor = has_ff ? freq_factors[iw / 2] : 1.0f;
|
||||
|
||||
float cos_theta;
|
||||
float sin_theta;
|
||||
|
||||
rope_yarn<forward>(theta_base / freq_factor, freq_scale, corr_dims, i0,
|
||||
rope_yarn<forward>(theta_base / freq_factor, freq_scale, corr_dims, iw,
|
||||
ext_factor, attn_factor, cos_theta, sin_theta);
|
||||
|
||||
const float x0 = x[ix + 0];
|
||||
@@ -104,7 +106,7 @@ template <bool forward, bool has_ff, typename T, typename D>
|
||||
static void rope_neox(const T *x, D *dst, const int ne00, const int ne01,
|
||||
const int ne02, const int s01, const int s02,
|
||||
const int s03, const int s1, const int s2, const int s3,
|
||||
const int n_dims, const int32_t *pos,
|
||||
const int n_dims, const int n_offs, const int32_t *pos,
|
||||
const float freq_scale, const float ext_factor,
|
||||
const float attn_factor, const rope_corr_dims corr_dims,
|
||||
const float theta_scale, const float *freq_factors,
|
||||
@@ -132,35 +134,38 @@ static void rope_neox(const T *x, D *dst, const int ne00, const int ne01,
|
||||
idst += row_indices[i2] * set_rows_stride;
|
||||
}
|
||||
|
||||
if (i0 >= n_dims) {
|
||||
if (i0 < n_offs || i0 >= n_offs + n_dims) {
|
||||
dst[idst + i0 / 2 + 0] = ggml_sycl_cast<D>(x[ix + i0 / 2 + 0]);
|
||||
dst[idst + i0 / 2 + 1] = ggml_sycl_cast<D>(x[ix + i0 / 2 + 1]);
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
const float theta_base = pos[i2] * dpct::pow(theta_scale, i0 / 2.0f);
|
||||
const int iw = i0 - n_offs; // relative idx
|
||||
|
||||
const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f;
|
||||
const float theta_base = pos[i2] * dpct::pow(theta_scale, iw / 2.0f);
|
||||
|
||||
const float freq_factor = has_ff ? freq_factors[iw / 2] : 1.0f;
|
||||
|
||||
float cos_theta;
|
||||
float sin_theta;
|
||||
|
||||
rope_yarn<forward>(theta_base / freq_factor, freq_scale, corr_dims, i0,
|
||||
rope_yarn<forward>(theta_base / freq_factor, freq_scale, corr_dims, iw,
|
||||
ext_factor, attn_factor, cos_theta, sin_theta);
|
||||
|
||||
const float x0 = x[ix + 0];
|
||||
const float x1 = x[ix + n_dims / 2];
|
||||
// idst/ix point at channel i0/2; the first channel of the rotated pair is n_offs + iw/2 = i0/2 + n_offs/2
|
||||
const float x0 = x[ix + n_offs / 2 + 0];
|
||||
const float x1 = x[ix + n_offs / 2 + n_dims / 2];
|
||||
|
||||
dst[idst + 0] = ggml_sycl_cast<D>(x0 * cos_theta - x1 * sin_theta);
|
||||
dst[idst + n_dims / 2] = ggml_sycl_cast<D>(x0 * sin_theta + x1 * cos_theta);
|
||||
dst[idst + n_offs / 2 + 0] = ggml_sycl_cast<D>(x0 * cos_theta - x1 * sin_theta);
|
||||
dst[idst + n_offs / 2 + n_dims / 2] = ggml_sycl_cast<D>(x0 * sin_theta + x1 * cos_theta);
|
||||
}
|
||||
|
||||
template <bool forward, bool has_ff, typename T>
|
||||
static void rope_multi(const T *x, T *dst, const int ne00, const int ne01,
|
||||
const int ne02, const int s01, const int s02,
|
||||
const int s03, const int s1, const int s2, const int s3,
|
||||
const int n_dims, const int32_t *pos,
|
||||
const int n_dims, const int n_offs, const int32_t *pos,
|
||||
const float freq_scale, const float ext_factor,
|
||||
const float attn_factor, const rope_corr_dims corr_dims,
|
||||
const float theta_scale, const float *freq_factors,
|
||||
@@ -183,54 +188,57 @@ static void rope_multi(const T *x, T *dst, const int ne00, const int ne01,
|
||||
int idst = i0 / 2 + i1 * s1 + i2 * s2 + i3 * s3;
|
||||
const int ix = i0 / 2 + i1 * s01 + i2 * s02 + i3 * s03;
|
||||
|
||||
if (i0 >= n_dims) {
|
||||
if (i0 < n_offs || i0 >= n_offs + n_dims) {
|
||||
dst[idst + i0 / 2 + 0] = x[ix + i0 / 2 + 0];
|
||||
dst[idst + i0 / 2 + 1] = x[ix + i0 / 2 + 1];
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
const int iw = i0 - n_offs; // relative idx
|
||||
|
||||
const int sect_dims =
|
||||
sections.v[0] + sections.v[1] + sections.v[2] + sections.v[3];
|
||||
const int sec_w = sections.v[1] + sections.v[0];
|
||||
const int sector = (i0 / 2) % sect_dims;
|
||||
const int sector = (iw / 2) % sect_dims;
|
||||
|
||||
float theta_base = 0.0;
|
||||
if (is_imrope) {
|
||||
if (sector % 3 == 1 && sector < 3 * sections.v[1]) { // h
|
||||
theta_base = pos[i2 + ne02 * 1] * dpct::pow(theta_scale, i0 / 2.0f);
|
||||
theta_base = pos[i2 + ne02 * 1] * dpct::pow(theta_scale, iw / 2.0f);
|
||||
} else if (sector % 3 == 2 && sector < 3 * sections.v[2]) { // w
|
||||
theta_base = pos[i2 + ne02 * 2] * dpct::pow(theta_scale, i0 / 2.0f);
|
||||
theta_base = pos[i2 + ne02 * 2] * dpct::pow(theta_scale, iw / 2.0f);
|
||||
} else if (sector % 3 == 0 && sector < 3 * sections.v[0]) { // t
|
||||
theta_base = pos[i2] * dpct::pow(theta_scale, i0 / 2.0f);
|
||||
theta_base = pos[i2] * dpct::pow(theta_scale, iw / 2.0f);
|
||||
} else {
|
||||
theta_base = pos[i2 + ne02 * 3] * dpct::pow(theta_scale, i0 / 2.0f);
|
||||
theta_base = pos[i2 + ne02 * 3] * dpct::pow(theta_scale, iw / 2.0f);
|
||||
}
|
||||
} else {
|
||||
if (sector < sections.v[0]) {
|
||||
theta_base = pos[i2] * dpct::pow(theta_scale, i0 / 2.0f);
|
||||
theta_base = pos[i2] * dpct::pow(theta_scale, iw / 2.0f);
|
||||
} else if (sector >= sections.v[0] && sector < sec_w) {
|
||||
theta_base = pos[i2 + ne02 * 1] * dpct::pow(theta_scale, i0 / 2.0f);
|
||||
theta_base = pos[i2 + ne02 * 1] * dpct::pow(theta_scale, iw / 2.0f);
|
||||
} else if (sector >= sec_w && sector < sec_w + sections.v[2]) {
|
||||
theta_base = pos[i2 + ne02 * 2] * dpct::pow(theta_scale, i0 / 2.0f);
|
||||
theta_base = pos[i2 + ne02 * 2] * dpct::pow(theta_scale, iw / 2.0f);
|
||||
} else if (sector >= sec_w + sections.v[2]) {
|
||||
theta_base = pos[i2 + ne02 * 3] * dpct::pow(theta_scale, i0 / 2.0f);
|
||||
theta_base = pos[i2 + ne02 * 3] * dpct::pow(theta_scale, iw / 2.0f);
|
||||
}
|
||||
}
|
||||
|
||||
const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f;
|
||||
const float freq_factor = has_ff ? freq_factors[iw / 2] : 1.0f;
|
||||
|
||||
float cos_theta;
|
||||
float sin_theta;
|
||||
|
||||
rope_yarn<forward>(theta_base / freq_factor, freq_scale, corr_dims, i0,
|
||||
rope_yarn<forward>(theta_base / freq_factor, freq_scale, corr_dims, iw,
|
||||
ext_factor, attn_factor, cos_theta, sin_theta);
|
||||
|
||||
const float x0 = x[ix + 0];
|
||||
const float x1 = x[ix + n_dims / 2];
|
||||
// idst/ix point at channel i0/2; the first channel of the rotated pair is n_offs + iw/2 = i0/2 + n_offs/2
|
||||
const float x0 = x[ix + n_offs / 2 + 0];
|
||||
const float x1 = x[ix + n_offs / 2 + n_dims / 2];
|
||||
|
||||
dst[idst + 0] = x0 * cos_theta - x1 * sin_theta;
|
||||
dst[idst + n_dims / 2] = x0 * sin_theta + x1 * cos_theta;
|
||||
dst[idst + n_offs / 2 + 0] = x0 * cos_theta - x1 * sin_theta;
|
||||
dst[idst + n_offs / 2 + n_dims / 2] = x0 * sin_theta + x1 * cos_theta;
|
||||
}
|
||||
|
||||
template <bool forward, bool has_ff, typename T>
|
||||
@@ -293,7 +301,7 @@ static void
|
||||
rope_norm_sycl(const T *x, D *dst, const int ne00, const int ne01,
|
||||
const int ne02, const int s01, const int s02, const int s03,
|
||||
const int s1, const int s2, const int s3, const int n_dims,
|
||||
const int nr, const int32_t *pos, const float freq_scale,
|
||||
const int n_offs, const int nr, const int32_t *pos, const float freq_scale,
|
||||
const float freq_base, const float ext_factor,
|
||||
const float attn_factor, const rope_corr_dims corr_dims,
|
||||
const float *freq_factors, const int64_t *row_indices,
|
||||
@@ -313,7 +321,7 @@ rope_norm_sycl(const T *x, D *dst, const int ne00, const int ne01,
|
||||
GGML_UNUSED(item_ct1);
|
||||
rope_norm<forward, false>(
|
||||
x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
|
||||
pos, freq_scale, ext_factor, attn_factor, corr_dims,
|
||||
n_offs, pos, freq_scale, ext_factor, attn_factor, corr_dims,
|
||||
theta_scale, freq_factors, row_indices, set_rows_stride);
|
||||
});
|
||||
} else {
|
||||
@@ -323,7 +331,7 @@ rope_norm_sycl(const T *x, D *dst, const int ne00, const int ne01,
|
||||
GGML_UNUSED(item_ct1);
|
||||
rope_norm<forward, true>(
|
||||
x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
|
||||
pos, freq_scale, ext_factor, attn_factor, corr_dims,
|
||||
n_offs, pos, freq_scale, ext_factor, attn_factor, corr_dims,
|
||||
theta_scale, freq_factors, row_indices, set_rows_stride);
|
||||
});
|
||||
}
|
||||
@@ -334,7 +342,7 @@ static void
|
||||
rope_neox_sycl(const T *x, D *dst, const int ne00, const int ne01,
|
||||
const int ne02, const int s01, const int s02, const int s03,
|
||||
const int s1, const int s2, const int s3, const int n_dims,
|
||||
const int nr, const int32_t *pos, const float freq_scale,
|
||||
const int n_offs, const int nr, const int32_t *pos, const float freq_scale,
|
||||
const float freq_base, const float ext_factor,
|
||||
const float attn_factor, const rope_corr_dims corr_dims,
|
||||
const float *freq_factors, const int64_t *row_indices,
|
||||
@@ -354,7 +362,7 @@ rope_neox_sycl(const T *x, D *dst, const int ne00, const int ne01,
|
||||
GGML_UNUSED(item_ct1);
|
||||
rope_neox<forward, false>(
|
||||
x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
|
||||
pos, freq_scale, ext_factor, attn_factor, corr_dims,
|
||||
n_offs, pos, freq_scale, ext_factor, attn_factor, corr_dims,
|
||||
theta_scale, freq_factors, row_indices, set_rows_stride);
|
||||
});
|
||||
} else {
|
||||
@@ -364,7 +372,7 @@ rope_neox_sycl(const T *x, D *dst, const int ne00, const int ne01,
|
||||
GGML_UNUSED(item_ct1);
|
||||
rope_neox<forward, true>(
|
||||
x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
|
||||
pos, freq_scale, ext_factor, attn_factor, corr_dims,
|
||||
n_offs, pos, freq_scale, ext_factor, attn_factor, corr_dims,
|
||||
theta_scale, freq_factors, row_indices, set_rows_stride);
|
||||
});
|
||||
}
|
||||
@@ -375,7 +383,7 @@ static void
|
||||
rope_multi_sycl(const T *x, T *dst, const int ne00, const int ne01,
|
||||
const int ne02, const int s01, const int s02, const int s03,
|
||||
const int s1, const int s2, const int s3, const int n_dims,
|
||||
const int nr, const int32_t *pos, const float freq_scale,
|
||||
const int n_offs, const int nr, const int32_t *pos, const float freq_scale,
|
||||
const float freq_base, const float ext_factor,
|
||||
const float attn_factor, const rope_corr_dims corr_dims,
|
||||
const float *freq_factors, const mrope_sections sections,
|
||||
@@ -395,7 +403,7 @@ rope_multi_sycl(const T *x, T *dst, const int ne00, const int ne01,
|
||||
GGML_UNUSED(item_ct1);
|
||||
rope_multi<forward, false, T>(
|
||||
x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
|
||||
pos, freq_scale, ext_factor, attn_factor, corr_dims,
|
||||
n_offs, pos, freq_scale, ext_factor, attn_factor, corr_dims,
|
||||
theta_scale, freq_factors, sections, is_imrope);
|
||||
});
|
||||
} else {
|
||||
@@ -405,7 +413,7 @@ rope_multi_sycl(const T *x, T *dst, const int ne00, const int ne01,
|
||||
GGML_UNUSED(item_ct1);
|
||||
rope_multi<forward, true, T>(
|
||||
x, dst, ne00, ne01, ne02, s01, s02, s03, s1, s2, s3, n_dims,
|
||||
pos, freq_scale, ext_factor, attn_factor, corr_dims,
|
||||
n_offs, pos, freq_scale, ext_factor, attn_factor, corr_dims,
|
||||
theta_scale, freq_factors, sections, is_imrope);
|
||||
});
|
||||
}
|
||||
@@ -497,6 +505,7 @@ void ggml_sycl_op_rope_impl(ggml_backend_sycl_context &ctx, ggml_tensor *dst,
|
||||
const int n_dims = ((int32_t *)dst->op_params)[1];
|
||||
const int mode = ((int32_t *)dst->op_params)[2];
|
||||
const int n_ctx_orig = ((int32_t *)dst->op_params)[4];
|
||||
const int n_offs = ((int32_t *)dst->op_params)[15];
|
||||
mrope_sections sections;
|
||||
|
||||
float freq_base;
|
||||
@@ -526,6 +535,7 @@ void ggml_sycl_op_rope_impl(ggml_backend_sycl_context &ctx, ggml_tensor *dst,
|
||||
|
||||
if (is_vision) {
|
||||
GGML_ASSERT(n_dims == ne00 / 2);
|
||||
GGML_ASSERT(n_offs == 0); // offset not supported for vision, as the rotated pairs span the whole row
|
||||
}
|
||||
|
||||
const int32_t *pos = (const int32_t *)src1_d;
|
||||
@@ -545,19 +555,19 @@ void ggml_sycl_op_rope_impl(ggml_backend_sycl_context &ctx, ggml_tensor *dst,
|
||||
if (src0->type == GGML_TYPE_F32 && dst_type == GGML_TYPE_F32) {
|
||||
rope_neox_sycl<forward, float, float>(
|
||||
(const float *)src0_d, (float *)dst_d, ne00, ne01, ne02, s01,
|
||||
s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, freq_base,
|
||||
s02, s03, s1, s2, s3, n_dims, n_offs, nr, pos, freq_scale, freq_base,
|
||||
ext_factor, attn_factor, corr_dims, freq_factors, row_indices,
|
||||
set_rows_stride, stream);
|
||||
} else if (src0->type == GGML_TYPE_F32 && dst_type == GGML_TYPE_F16) {
|
||||
rope_neox_sycl<forward, float, sycl::half>(
|
||||
(const float *)src0_d, (sycl::half *)dst_d, ne00, ne01, ne02,
|
||||
s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale,
|
||||
s01, s02, s03, s1, s2, s3, n_dims, n_offs, nr, pos, freq_scale,
|
||||
freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
|
||||
row_indices, set_rows_stride, stream);
|
||||
} else if (src0->type == GGML_TYPE_F16 && dst_type == GGML_TYPE_F16) {
|
||||
rope_neox_sycl<forward, sycl::half, sycl::half>(
|
||||
(const sycl::half *)src0_d, (sycl::half *)dst_d, ne00, ne01,
|
||||
ne02, s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale,
|
||||
ne02, s01, s02, s03, s1, s2, s3, n_dims, n_offs, nr, pos, freq_scale,
|
||||
freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
|
||||
row_indices, set_rows_stride, stream);
|
||||
} else {
|
||||
@@ -568,13 +578,13 @@ void ggml_sycl_op_rope_impl(ggml_backend_sycl_context &ctx, ggml_tensor *dst,
|
||||
if (src0->type == GGML_TYPE_F32) {
|
||||
rope_multi_sycl<forward>((const float *)src0_d, (float *)dst_d,
|
||||
ne00, ne01, ne02, s01, s02, s03, s1, s2,
|
||||
s3, n_dims, nr, pos, freq_scale, freq_base,
|
||||
s3, n_dims, n_offs, nr, pos, freq_scale, freq_base,
|
||||
ext_factor, attn_factor, corr_dims,
|
||||
freq_factors, sections, is_imrope, stream);
|
||||
} else if (src0->type == GGML_TYPE_F16) {
|
||||
rope_multi_sycl<forward>(
|
||||
(const sycl::half *)src0_d, (sycl::half *)dst_d, ne00, ne01,
|
||||
ne02, s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale,
|
||||
ne02, s01, s02, s03, s1, s2, s3, n_dims, n_offs, nr, pos, freq_scale,
|
||||
freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
|
||||
sections, is_imrope, stream);
|
||||
} else {
|
||||
@@ -602,19 +612,19 @@ void ggml_sycl_op_rope_impl(ggml_backend_sycl_context &ctx, ggml_tensor *dst,
|
||||
if (src0->type == GGML_TYPE_F32 && dst_type == GGML_TYPE_F32) {
|
||||
rope_norm_sycl<forward, float, float>(
|
||||
(const float *)src0_d, (float *)dst_d, ne00, ne01, ne02, s01,
|
||||
s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale, freq_base,
|
||||
s02, s03, s1, s2, s3, n_dims, n_offs, nr, pos, freq_scale, freq_base,
|
||||
ext_factor, attn_factor, corr_dims, freq_factors, row_indices,
|
||||
set_rows_stride, stream);
|
||||
} else if (src0->type == GGML_TYPE_F32 && dst_type == GGML_TYPE_F16) {
|
||||
rope_norm_sycl<forward, float, sycl::half>(
|
||||
(const float *)src0_d, (sycl::half *)dst_d, ne00, ne01, ne02,
|
||||
s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale,
|
||||
s01, s02, s03, s1, s2, s3, n_dims, n_offs, nr, pos, freq_scale,
|
||||
freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
|
||||
row_indices, set_rows_stride, stream);
|
||||
} else if (src0->type == GGML_TYPE_F16 && dst_type == GGML_TYPE_F16) {
|
||||
rope_norm_sycl<forward, sycl::half, sycl::half>(
|
||||
(const sycl::half *)src0_d, (sycl::half *)dst_d, ne00, ne01,
|
||||
ne02, s01, s02, s03, s1, s2, s3, n_dims, nr, pos, freq_scale,
|
||||
ne02, s01, s02, s03, s1, s2, s3, n_dims, n_offs, nr, pos, freq_scale,
|
||||
freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
|
||||
row_indices, set_rows_stride, stream);
|
||||
} else {
|
||||
|
||||
@@ -291,7 +291,7 @@ static void set_rows_sycl(
|
||||
|
||||
stream->parallel_for(
|
||||
sycl::nd_range<1>(grid_size * block_size, block_size),
|
||||
[=](sycl::nd_item<1> item_ct1) [[intel::reqd_sub_group_size(WARP_SIZE)]] {
|
||||
[=](sycl::nd_item<1> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
|
||||
k_set_rows<TIn, TIdx, TOut>(
|
||||
src0_d, src1_d, dst_d,
|
||||
ne00, ne01, ne02,
|
||||
|
||||
@@ -429,6 +429,39 @@ template <> struct reorder_vec_dot_q_sycl<GGML_TYPE_Q8_0> {
|
||||
}
|
||||
};
|
||||
|
||||
template <> struct reorder_vec_dot_q_sycl<GGML_TYPE_Q2_K> {
|
||||
static constexpr ggml_type gtype = GGML_TYPE_Q2_K;
|
||||
|
||||
using q2_k_block = ggml_sycl_reordered::block_q_t<GGML_TYPE_Q2_K>;
|
||||
using q2_k_traits = typename q2_k_block::traits;
|
||||
|
||||
__dpct_inline__ float operator()(const void * __restrict__ vbq, const std::pair<int, int> ibx_offset,
|
||||
const std::pair<int, int> d_offset, const int8_t * q8_1_quant_ptr,
|
||||
const sycl::half2 * q8_1_ds, const int & iqs) {
|
||||
const uint8_t * base = static_cast<const uint8_t *>(vbq);
|
||||
const uint8_t * qs = base + ibx_offset.first;
|
||||
const uint8_t * scales = base + d_offset.first;
|
||||
const ggml_half2 * dm = reinterpret_cast<const ggml_half2 *>(base + d_offset.second);
|
||||
|
||||
const int bq8_offset = QR2_K * (iqs / QI8_1);
|
||||
const int scale_offset = iqs - iqs % QI8_1 + (iqs % QI8_1) / (QI8_1 / 2);
|
||||
|
||||
const int v = get_int_from_uint8_aligned(qs, iqs);
|
||||
|
||||
int u[QR2_K];
|
||||
float d8[QR2_K];
|
||||
|
||||
#pragma unroll
|
||||
for (int i = 0; i < QR2_K; ++i) {
|
||||
const int8_t * quant_base_ptr = q8_1_quant_ptr + (bq8_offset + i) * QK8_1;
|
||||
u[i] = get_int_from_int8_aligned(quant_base_ptr, iqs % QI8_1);
|
||||
d8[i] = (*(q8_1_ds + bq8_offset + i))[0];
|
||||
}
|
||||
|
||||
return vec_dot_q2_K_q8_1_impl_mmvq(v, u, scales + scale_offset, *dm, d8);
|
||||
}
|
||||
};
|
||||
|
||||
template <> struct reorder_vec_dot_q_sycl<GGML_TYPE_Q3_K> {
|
||||
static constexpr ggml_type gtype = GGML_TYPE_Q3_K;
|
||||
|
||||
|
||||
@@ -121,13 +121,13 @@ void main() {
|
||||
const uint buf_ib = r * qf_stride + d / 8;
|
||||
const uint buf_iqs = d % 8;
|
||||
|
||||
FLOAT_TYPEV4 vals = is_in_bounds ? FLOAT_TYPEV4(data_qv4[q_offset / 4 + (i * Br + r) * q_stride / 4 + d] * p.scale) : FLOAT_TYPEV4(0.0f);
|
||||
const FLOAT_TYPEV4 abs_vals = abs(vals);
|
||||
vec4 vals = is_in_bounds ? data_qv4[q_offset / 4 + (i * Br + r) * q_stride / 4 + d] * p.scale : vec4(0.0f);
|
||||
const vec4 abs_vals = abs(vals);
|
||||
|
||||
const FLOAT_TYPE thread_max = max(max(abs_vals.x, abs_vals.y), max(abs_vals.z, abs_vals.w));
|
||||
const FLOAT_TYPE amax = subgroupClusteredMax(thread_max, 8);
|
||||
const FLOAT_TYPE qd = amax / FLOAT_TYPE(127.0);
|
||||
const FLOAT_TYPE qd_inv = qd != FLOAT_TYPE(0.0) ? FLOAT_TYPE(1.0) / qd : FLOAT_TYPE(0.0);
|
||||
const float thread_max = max(max(abs_vals.x, abs_vals.y), max(abs_vals.z, abs_vals.w));
|
||||
const float amax = subgroupClusteredMax(thread_max, 8);
|
||||
const float qd = amax / 127.0f;
|
||||
const float qd_inv = qd != 0.0f ? 1.0f / qd : 0.0f;
|
||||
vals = round(vals * qd_inv);
|
||||
|
||||
Qf[buf_ib].qs[buf_iqs] = pack32(i8vec4(vals));
|
||||
@@ -136,11 +136,11 @@ void main() {
|
||||
// the row-sum scaled by qd, used in k_dot_correction.
|
||||
if (FaTypeK == FA_TYPE_Q8_0) {
|
||||
if (buf_iqs == 0) {
|
||||
Qf[buf_ib].ds = FLOAT_TYPEV2(qd, 0.0);
|
||||
Qf[buf_ib].ds = FLOAT_TYPEV2(qd, 0.0f);
|
||||
}
|
||||
} else {
|
||||
const FLOAT_TYPE thread_sum = vals.x + vals.y + vals.z + vals.w;
|
||||
const FLOAT_TYPE sum = subgroupClusteredAdd(thread_sum, 8);
|
||||
const float thread_sum = vals.x + vals.y + vals.z + vals.w;
|
||||
const float sum = subgroupClusteredAdd(thread_sum, 8);
|
||||
|
||||
if (buf_iqs == 0) {
|
||||
Qf[buf_ib].ds = FLOAT_TYPEV2(qd, sum * qd);
|
||||
|
||||
@@ -2714,6 +2714,7 @@ static webgpu_encoded_op ggml_webgpu_rope(webgpu_context & ctx,
|
||||
const int n_dims = ((int32_t *) dst->op_params)[1];
|
||||
const int mode = ((int32_t *) dst->op_params)[2];
|
||||
const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
|
||||
const int n_offs = ((int32_t *) dst->op_params)[15];
|
||||
|
||||
float freq_base;
|
||||
float freq_scale;
|
||||
@@ -2762,7 +2763,8 @@ static webgpu_encoded_op ggml_webgpu_rope(webgpu_context & ctx,
|
||||
(uint32_t) sections[0],
|
||||
(uint32_t) sections[1],
|
||||
(uint32_t) sections[2],
|
||||
(uint32_t) sections[3]
|
||||
(uint32_t) sections[3],
|
||||
(uint32_t) n_offs
|
||||
};
|
||||
|
||||
std::vector<wgpu::BindGroupEntry> entries = { ggml_webgpu_make_tensor_bind_group_entry(ctx, 0, src0),
|
||||
@@ -4472,9 +4474,7 @@ static bool ggml_backend_webgpu_device_supports_op(ggml_backend_dev_t dev, const
|
||||
supports_op = (op->type == GGML_TYPE_F32 && src0->type == GGML_TYPE_F32) && ggml_is_contiguous_rows(src0);
|
||||
break;
|
||||
case GGML_OP_ROPE:
|
||||
// FIXME: support ggml_rope_set_offset
|
||||
supports_op =
|
||||
(op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16) && ((const int32_t *) op->op_params)[15] == 0;
|
||||
supports_op = op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16;
|
||||
break;
|
||||
case GGML_OP_GLU:
|
||||
switch (ggml_get_glu_op(op)) {
|
||||
|
||||
@@ -38,7 +38,8 @@ struct Params {
|
||||
sections0: u32,
|
||||
sections1: u32,
|
||||
sections2: u32,
|
||||
sections3: u32
|
||||
sections3: u32,
|
||||
n_offs: u32
|
||||
};
|
||||
|
||||
@group(0) @binding(0)
|
||||
@@ -126,7 +127,8 @@ fn rope_yarn(theta_extrap: f32, i: u32) -> vec2<f32> {
|
||||
|
||||
fn pair_base(i0: u32, div_2: bool) -> u32 {
|
||||
if (div_2) {
|
||||
return i0 / 2;
|
||||
// first channel of the rotated pair: n_offs + (i0 - n_offs)/2
|
||||
return i0 / 2 + params.n_offs / 2;
|
||||
} else {
|
||||
return i0;
|
||||
}
|
||||
@@ -165,20 +167,22 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
|
||||
let i_src_row = params.offset_src0 + i3 * params.stride_src03 + i2 * params.stride_src02 + i1 * params.stride_src01;
|
||||
let i_dst_row = params.offset_dst + i3 * params.stride_dst3 + i2 * params.stride_dst2 + i1 * params.stride_dst1;
|
||||
|
||||
if (i0 >= params.n_dims && !is_vision) {
|
||||
if ((i0 < params.n_offs || i0 >= params.n_offs + params.n_dims) && !is_vision) {
|
||||
let i_src = i_src_row + i0;
|
||||
let i_dst = i_dst_row + i0;
|
||||
rotate(i_dst, i_dst + 1, f32(src0[i_src]), f32(src0[i_src + 1]));
|
||||
return;
|
||||
}
|
||||
|
||||
let iw = i0 - params.n_offs; // relative idx
|
||||
|
||||
var theta_base_mult: u32 = 0;
|
||||
var theta_scale_pwr: u32 = i0 / 2;
|
||||
var theta_scale_pwr: u32 = iw / 2;
|
||||
if (is_mrope) {
|
||||
let sect_dims = params.sections0 + params.sections1 + params.sections2 + params.sections3;
|
||||
let sec_w = params.sections1 + params.sections0;
|
||||
let sec_e = params.sections2 + sec_w;
|
||||
let sector = (i0 / 2) % sect_dims;
|
||||
let sector = (iw / 2) % sect_dims;
|
||||
if (is_imrope) {
|
||||
if (sector % 3 == 1 && sector < 3 * params.sections1) {
|
||||
theta_base_mult = 1;
|
||||
@@ -203,7 +207,7 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
|
||||
} else if (sector >= sec_e) {
|
||||
if (is_vision) {
|
||||
theta_scale_pwr = sector - sec_e;
|
||||
theta_scale_pwr = (i0 / 2) % sec_e;
|
||||
theta_scale_pwr = (iw / 2) % sec_e;
|
||||
}
|
||||
theta_base_mult = 3;
|
||||
} else if (is_vision) {
|
||||
@@ -212,7 +216,7 @@ fn main(@builtin(global_invocation_id) gid: vec3<u32>) {
|
||||
}
|
||||
}
|
||||
let theta_base = f32(src1[params.offset_src1 + i2 + params.ne2 * theta_base_mult]) * pow(params.theta_scale, f32(theta_scale_pwr));
|
||||
let thetas = rope_yarn(theta_base/freq_factor(i0), i0);
|
||||
let thetas = rope_yarn(theta_base/freq_factor(iw), iw);
|
||||
|
||||
let i_src = i_src_row + pair_base(i0, is_neox || is_mrope || is_vision);
|
||||
let i_dst = i_dst_row + pair_base(i0, is_neox || is_mrope || is_vision);
|
||||
|
||||
@@ -15,7 +15,8 @@
|
||||
# tag exists.
|
||||
#
|
||||
# Env (when running in GitHub Actions):
|
||||
# GITHUB_OUTPUT: previous_tag, changelog_title, changelog and nightly are written here
|
||||
# GITHUB_OUTPUT: previous_tag, changelog_title, changelog, nightly and nightly_tag
|
||||
# are written here
|
||||
# GITHUB_REPOSITORY: owner/repo, used to build the nightly release URL (skipped when unset)
|
||||
set -euo pipefail
|
||||
|
||||
@@ -52,10 +53,10 @@ PREV="$( { git tag --list; echo "${VERSION}"; } \
|
||||
|
||||
if [[ -n "${PREV}" ]]; then
|
||||
CHANGELOG="$(git log --oneline "${PREV}..${RELEASE_COMMIT}")"
|
||||
CHANGELOG_TITLE="Change log since ${PREV}"
|
||||
CHANGELOG_TITLE="Changelog since ${PREV}"
|
||||
else
|
||||
CHANGELOG="(no previous release tag found)"
|
||||
CHANGELOG_TITLE="Change log"
|
||||
CHANGELOG_TITLE="Changelog"
|
||||
fi
|
||||
|
||||
# Nightly release: the b* tag pointing at the release commit (|| true: no match is not an error)
|
||||
@@ -80,6 +81,7 @@ if [[ -n "${GITHUB_OUTPUT:-}" ]]; then
|
||||
echo "previous_tag=${PREV}"
|
||||
echo "changelog_title=${CHANGELOG_TITLE}"
|
||||
echo "nightly=${NIGHTLY}"
|
||||
echo "nightly_tag=${NIGHTLY_TAG}"
|
||||
echo "changelog<<CHANGELOG_EOF"
|
||||
echo "${CHANGELOG}"
|
||||
echo "CHANGELOG_EOF"
|
||||
|
||||
+2
-2
@@ -1032,6 +1032,8 @@ bool llm_arch_supports_rs_rollback(const llm_arch & arch) {
|
||||
case LLM_ARCH_DEEPSEEK4:
|
||||
case LLM_ARCH_NEMOTRON_H:
|
||||
case LLM_ARCH_NEMOTRON_H_MOE:
|
||||
case LLM_ARCH_LFM2:
|
||||
case LLM_ARCH_LFM2MOE:
|
||||
return true;
|
||||
default:
|
||||
return false;
|
||||
@@ -1060,8 +1062,6 @@ bool llm_arch_supports_sm_tensor(const llm_arch & arch) {
|
||||
case LLM_ARCH_NEMOTRON_H:
|
||||
case LLM_ARCH_NEMOTRON_H_MOE:
|
||||
case LLM_ARCH_GRANITE_HYBRID:
|
||||
case LLM_ARCH_LFM2:
|
||||
case LLM_ARCH_LFM2MOE:
|
||||
case LLM_ARCH_MINIMAX_01:
|
||||
case LLM_ARCH_MINIMAX_M2:
|
||||
case LLM_ARCH_MINIMAX_M3:
|
||||
|
||||
@@ -487,6 +487,10 @@ struct ggml_backend_meta_split_state llama_meta_device_get_split_state(const str
|
||||
return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_1, "ssm_out.weight");
|
||||
}
|
||||
if (std::regex_match(tensor_name, pattern_r_cache) || std::regex_match(tensor_name, pattern_s_cache)) {
|
||||
if (ud->model->arch == LLM_ARCH_LFM2 || ud->model->arch == LLM_ARCH_LFM2MOE) {
|
||||
// the LFM2 shortconv block runs fully mirrored, so its conv state must be mirrored too
|
||||
return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_MIRRORED, "");
|
||||
}
|
||||
return get_tensor_config_impl(GGML_BACKEND_SPLIT_AXIS_0, "ssm_out.weight");
|
||||
}
|
||||
if (std::regex_match(tensor_name, pattern_ssm_conv1d)) {
|
||||
|
||||
+17
-8
@@ -2,6 +2,8 @@
|
||||
#include "../llama-memory-hybrid-iswa.h"
|
||||
#include "../llama-memory-hybrid.h"
|
||||
|
||||
#include <algorithm>
|
||||
|
||||
void llama_model_lfm2::load_arch_hparams(llama_model_loader & ml) {
|
||||
ml.get_key(LLM_KV_SHORTCONV_L_CACHE, hparams.n_shortconv_l_cache);
|
||||
ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
|
||||
@@ -202,15 +204,20 @@ llama_model_lfm2::graph<iswa>::graph(const llama_model & model, const llm_graph_
|
||||
}
|
||||
GGML_ASSERT(bx->ne[0] > conv->ne[0]);
|
||||
|
||||
// last d_conv columns is a new conv state
|
||||
auto * new_conv = ggml_view_3d(ctx0, bx, conv->ne[0], bx->ne[1], bx->ne[2], bx->nb[1], bx->nb[2],
|
||||
(bx->ne[0] - conv->ne[0]) * ggml_element_size(bx));
|
||||
GGML_ASSERT(ggml_are_same_shape(conv, new_conv));
|
||||
// write conv states: slot 0 = the final state, slot s = the state s tokens back (partial rollback)
|
||||
const int64_t K = hparams.causal_attn && cparams.n_rs_seq > 0 ? (int64_t) cparams.n_rs_seq + 1 : 1;
|
||||
const int64_t n_written = std::min<int64_t>(n_seq_tokens, K);
|
||||
const auto mem_size = mctx_cur->get_size();
|
||||
const size_t row_size = ggml_row_size(conv_state->type, (int64_t) d_conv * n_embd);
|
||||
|
||||
// write new conv conv state
|
||||
ggml_build_forward_expand(gf, ggml_cpy(ctx0, new_conv,
|
||||
ggml_view_1d(ctx0, conv_state, ggml_nelements(new_conv),
|
||||
kv_head * d_conv * n_embd * ggml_element_size(new_conv))));
|
||||
for (int64_t slot = 0; slot < n_written; ++slot) {
|
||||
auto * conv_snap = ggml_view_3d(ctx0, bx, d_conv, bx->ne[1], bx->ne[2], bx->nb[1], bx->nb[2],
|
||||
(bx->ne[0] - d_conv - slot) * ggml_element_size(bx));
|
||||
ggml_build_forward_expand(gf, ggml_cpy(ctx0, conv_snap,
|
||||
ggml_view_2d(ctx0, conv_state, (int64_t) d_conv * n_embd, n_seqs,
|
||||
conv_state->nb[1],
|
||||
((size_t) slot * mem_size + kv_head) * row_size)));
|
||||
}
|
||||
|
||||
auto * conv_kernel = model.layers[il].shortconv.conv;
|
||||
auto * conv_out = ggml_ssm_conv(ctx0, bx, conv_kernel);
|
||||
@@ -242,6 +249,8 @@ llama_model_lfm2::graph<iswa>::graph(const llama_model & model, const llm_graph_
|
||||
ggml_tensor * inp_out_ids = build_inp_out_ids();
|
||||
|
||||
for (int il = 0; il < n_layer; ++il) {
|
||||
res->t_layer_inp[il] = cur;
|
||||
|
||||
const bool is_moe_layer = il >= static_cast<int>(hparams.n_layer_dense_lead);
|
||||
|
||||
auto * prev_cur = cur;
|
||||
|
||||
+30
-14
@@ -7085,9 +7085,10 @@ struct test_flash_attn_ext : public test_case {
|
||||
const ggml_type type_V;
|
||||
std::array<int32_t, 4> permute;
|
||||
const bool kv_view; // create K/V as views of a larger buffer (like a KV cache)
|
||||
const bool v_is_view_of_k;
|
||||
|
||||
std::string vars() override {
|
||||
return VARS_TO_STR15(hsk, hsv, nh, nr23, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_K, type_V, permute, kv_view);
|
||||
return VARS_TO_STR16(hsk, hsv, nh, nr23, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_K, type_V, permute, kv_view, v_is_view_of_k);
|
||||
}
|
||||
|
||||
double max_nmse_err() override {
|
||||
@@ -7104,9 +7105,9 @@ struct test_flash_attn_ext : public test_case {
|
||||
test_flash_attn_ext(int64_t hsk = 128, int64_t hsv = 128, int64_t nh = 32, std::array<int64_t, 2> nr23 = {1, 1}, int64_t kv = 96, int64_t nb = 8,
|
||||
bool mask = true, bool sinks = false, float max_bias = 0.0f, float logit_softcap = 0.0f, ggml_prec prec = GGML_PREC_F32,
|
||||
ggml_type type_K = GGML_TYPE_F16, ggml_type type_V = GGML_TYPE_F16, std::array<int32_t, 4> permute = {0, 1, 2, 3},
|
||||
bool kv_view = true)
|
||||
bool kv_view = true, bool v_is_view_of_k = false)
|
||||
: hsk(hsk), hsv(hsv), nh(nh), nr23(nr23), kv(kv), nb(nb), mask(mask), sinks(sinks), max_bias(max_bias), logit_softcap(logit_softcap), prec(prec),
|
||||
type_K(type_K), type_V(type_V), permute(permute), kv_view(kv_view) {}
|
||||
type_K(type_K), type_V(type_V), permute(permute), kv_view(kv_view), v_is_view_of_k(v_is_view_of_k) {}
|
||||
|
||||
ggml_tensor * build_graph(ggml_context * ctx) override {
|
||||
const int64_t hsk_padded = GGML_PAD(hsk, ggml_blck_size(type_K));
|
||||
@@ -7138,14 +7139,14 @@ struct test_flash_attn_ext : public test_case {
|
||||
ggml_set_name(k, "k");
|
||||
|
||||
ggml_tensor * v = nullptr;
|
||||
if (type_K == type_V && hsk_padded == 576 && hsv_padded == 512) {
|
||||
// TODO: this branch should become a separate test case parameter instead of hardcoding this for these head shapes
|
||||
|
||||
// in this branch, the V cache is sub-view of the K cache. this is used by some MLA-based models
|
||||
if (v_is_view_of_k) {
|
||||
// the V cache is a sub-view of the K cache. this is used by some MLA-based models
|
||||
// for more info:
|
||||
// - https://github.com/ggml-org/llama.cpp/pull/13435
|
||||
// - https://github.com/ggml-org/llama.cpp/pull/18953#issuecomment-3774948392
|
||||
// - https://github.com/ggml-org/llama.cpp/pull/18986
|
||||
GGML_ASSERT(type_K == type_V && hsv_padded <= hsk_padded);
|
||||
|
||||
v = ggml_view_4d(ctx, k, hsv_padded, kv, nh, nr23[1], k->nb[1], k->nb[2], k->nb[3], 0);
|
||||
} else {
|
||||
v = create_permuted(type_V, hsv_padded, kv, nh, nr23[1], kv_view); // the V tensor is usually a view of the V cache
|
||||
@@ -9298,6 +9299,14 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
|
||||
|
||||
test_cases.emplace_back(new test_mul_mat(GGML_TYPE_Q8_0, GGML_TYPE_F32, 6, 4096, 5120, {1, 1}, {1, 1}));
|
||||
|
||||
// K not a multiple of 32
|
||||
test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F16, 64, 32, 65, {1, 1}, {1, 1}));
|
||||
test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F16, 64, 32, 80, {1, 1}, {1, 1}));
|
||||
test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F32, 64, 32, 80, {1, 1}, {1, 1}));
|
||||
test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F32, GGML_TYPE_F32, 64, 32, 80, {1, 1}, {1, 1}));
|
||||
test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F16, 64, 32, 588, {1, 1}, {1, 1})); // 14*14*3, e.g. conv_2d im2col
|
||||
test_cases.emplace_back(new test_mul_mat(GGML_TYPE_F16, GGML_TYPE_F16, 64, 32, 80, {4, 1}, {1, 1}));
|
||||
|
||||
#if 0
|
||||
// test the mat-mat path for Metal
|
||||
for (int k = 1; k < 512; ++k) {
|
||||
@@ -9898,12 +9907,14 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
|
||||
if (hsk != 128 && prec == GGML_PREC_DEFAULT) continue;
|
||||
for (ggml_type type_KV : {GGML_TYPE_F32, GGML_TYPE_F16, GGML_TYPE_BF16, GGML_TYPE_Q8_0, GGML_TYPE_Q5_1, GGML_TYPE_Q5_0, GGML_TYPE_Q4_1, GGML_TYPE_Q4_0, GGML_TYPE_IQ4_NL}) {
|
||||
if (type_KV != GGML_TYPE_F16 && hsk != 64 && hsk != 72) continue;
|
||||
// DeepSeek MLA: the V cache is a sub-view of the K cache
|
||||
const bool v_is_view_of_k = hsk == 576;
|
||||
test_cases.emplace_back(new test_flash_attn_ext(
|
||||
hsk, hsv, nh, {nr2, nr3}, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV, type_KV));
|
||||
hsk, hsv, nh, {nr2, nr3}, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV, type_KV, {0, 1, 2, 3}, true, v_is_view_of_k));
|
||||
// run fewer test cases permuted
|
||||
if (mask == true && max_bias == 0.0f && logit_softcap == 0 && kv == 512) {
|
||||
test_cases.emplace_back(new test_flash_attn_ext(
|
||||
hsk, hsv, nh, {nr2, nr3}, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV, type_KV, {0, 2, 1, 3}));
|
||||
hsk, hsv, nh, {nr2, nr3}, kv, nb, mask, sinks, max_bias, logit_softcap, prec, type_KV, type_KV, {0, 2, 1, 3}, true, v_is_view_of_k));
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -9942,11 +9953,16 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
|
||||
test_cases.emplace_back(new test_flash_attn_ext(256, 256, 2, {16, 1}, 1025, 64, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0, {0, 2, 1, 3}));
|
||||
test_cases.emplace_back(new test_flash_attn_ext(256, 256, 2, {16, 1}, 16384, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0));
|
||||
|
||||
// MLA shape (V is a view of K) with quantized KV
|
||||
// (the test harness builds V as a view of K for this shape; see build_graph)
|
||||
test_cases.emplace_back(new test_flash_attn_ext(576, 512, 1, {20, 1}, 113, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0));
|
||||
test_cases.emplace_back(new test_flash_attn_ext(576, 512, 1, {20, 1}, 1024, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0));
|
||||
test_cases.emplace_back(new test_flash_attn_ext(576, 512, 1, {20, 1}, 1024, 64, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0));
|
||||
// MLA shape: the V cache is a sub-view of the K cache, with quantized KV
|
||||
test_cases.emplace_back(new test_flash_attn_ext(576, 512, 1, {20, 1}, 113, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0, {0, 1, 2, 3}, true, true));
|
||||
test_cases.emplace_back(new test_flash_attn_ext(576, 512, 1, {20, 1}, 1024, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0, {0, 1, 2, 3}, true, true));
|
||||
test_cases.emplace_back(new test_flash_attn_ext(576, 512, 1, {20, 1}, 1024, 64, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0, {0, 1, 2, 3}, true, true));
|
||||
|
||||
// more V-is-sub-view-of-K cases: other head shapes, and full views with equal head sizes
|
||||
test_cases.emplace_back(new test_flash_attn_ext(320, 256, 1, {32, 1}, 512, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16, GGML_TYPE_F16, {0, 1, 2, 3}, true, true));
|
||||
test_cases.emplace_back(new test_flash_attn_ext(192, 128, 4, {8, 1}, 512, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16, GGML_TYPE_F16, {0, 1, 2, 3}, true, true));
|
||||
test_cases.emplace_back(new test_flash_attn_ext(128, 128, 8, {4, 1}, 512, 8, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_F16, GGML_TYPE_F16, {0, 1, 2, 3}, true, true));
|
||||
test_cases.emplace_back(new test_flash_attn_ext(64, 64, 4, {1, 1}, 512, 1, true, false, 0, 0, GGML_PREC_F32, GGML_TYPE_Q8_0, GGML_TYPE_Q8_0, {0, 1, 2, 3}, true, true));
|
||||
|
||||
// large-KV F16 cases (Qwen3.6-27B geometry and a llama-class control): the upstream matrix
|
||||
// stops at kv=1024, blind to long-context FA bugs (e.g. the oneDNN SDPA ordering race on BMG).
|
||||
|
||||
@@ -162,6 +162,7 @@
|
||||
| `-mmu, --mmproj-url URL` | URL to a multimodal projector file. see tools/mtmd/README.md<br/>(env: LLAMA_ARG_MMPROJ_URL) |
|
||||
| `--mmproj-auto, --no-mmproj, --no-mmproj-auto` | whether to use multimodal projector file (if available), useful when using -hf (default: enabled)<br/>(env: LLAMA_ARG_MMPROJ_AUTO) |
|
||||
| `--mmproj-offload, --no-mmproj-offload` | whether to enable GPU offloading for multimodal projector (default: enabled)<br/>(env: LLAMA_ARG_MMPROJ_OFFLOAD) |
|
||||
| `-mmdev, --mmproj-device DEVICE` | device to use for multimodal projector (none = don't offload, default: auto)<br/>use --list-devices to see a list of available devices<br/>(env: MTMD_BACKEND_DEVICE) |
|
||||
| `--image, --audio, --video FILE` | path to an image, audio, or video file. use with multimodal models, use comma-separated values for multiple files |
|
||||
| `--image-min-tokens N` | minimum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)<br/>(env: LLAMA_ARG_IMAGE_MIN_TOKENS) |
|
||||
| `--image-max-tokens N` | maximum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)<br/>(env: LLAMA_ARG_IMAGE_MAX_TOKENS) |
|
||||
|
||||
@@ -33,6 +33,7 @@ int llama_fit_params(int argc, char ** argv) {
|
||||
if (!params.fit_params_print) {
|
||||
const common_params_fit_status status = common_fit_params(params.model.path.c_str(), &mparams, &cparams,
|
||||
params.tensor_split, params.tensor_buft_overrides.data(), params.fit_params_target.data(), params.fit_params_min_ctx,
|
||||
nullptr,
|
||||
params.verbosity >= LOG_LEVEL_DEBUG ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR);
|
||||
if (status != COMMON_PARAMS_FIT_STATUS_SUCCESS) {
|
||||
LOG_ERR("%s: failed to fit CLI arguments to free memory, exiting...\n", __func__);
|
||||
|
||||
@@ -2294,6 +2294,7 @@ int llama_bench(int argc, char ** argv) {
|
||||
fit_overrides.data(),
|
||||
margins.data(),
|
||||
inst.fit_min_ctx,
|
||||
nullptr,
|
||||
params.verbose ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR);
|
||||
}
|
||||
|
||||
|
||||
+5
-6
@@ -186,14 +186,13 @@ struct clip_ctx {
|
||||
throw std::runtime_error("failed to initialize CPU backend");
|
||||
}
|
||||
if (ctx_params.use_gpu) {
|
||||
auto * backend_name = std::getenv("MTMD_BACKEND_DEVICE");
|
||||
if (backend_name != nullptr) {
|
||||
backend = ggml_backend_init_by_name(backend_name, nullptr);
|
||||
if (ctx_params.device != nullptr) {
|
||||
backend = ggml_backend_dev_init(ctx_params.device, nullptr);
|
||||
if (!backend) {
|
||||
LOG_WRN("%s: Warning: Failed to initialize \"%s\" backend, falling back to default GPU backend\n", __func__, backend_name);
|
||||
throw std::runtime_error(string_format("%s: failed to initialize \"%s\" backend\n",
|
||||
__func__, ggml_backend_dev_name(ctx_params.device)));
|
||||
}
|
||||
}
|
||||
if (!backend) {
|
||||
} else {
|
||||
backend = ggml_backend_init_by_type(GGML_BACKEND_DEVICE_TYPE_GPU, nullptr);
|
||||
backend = backend ? backend : ggml_backend_init_by_type(GGML_BACKEND_DEVICE_TYPE_IGPU, nullptr);
|
||||
}
|
||||
|
||||
@@ -48,6 +48,7 @@ enum clip_flash_attn_type {
|
||||
|
||||
struct clip_context_params {
|
||||
bool use_gpu;
|
||||
ggml_backend_dev_t device;
|
||||
enum clip_flash_attn_type flash_attn_type;
|
||||
int image_min_tokens;
|
||||
int image_max_tokens;
|
||||
|
||||
@@ -84,6 +84,7 @@ int main(int argc, char ** argv) {
|
||||
const char * clip_path = params.mmproj.path.c_str();
|
||||
mtmd_context_params mparams = mtmd_context_params_default();
|
||||
mparams.use_gpu = params.mmproj_use_gpu;
|
||||
mparams.device = params.mmproj_device;
|
||||
mparams.print_timings = true;
|
||||
mparams.n_threads = params.cpuparams.n_threads;
|
||||
mparams.flash_attn_type = params.flash_attn_type;
|
||||
|
||||
@@ -154,6 +154,7 @@ struct mtmd_cli_context {
|
||||
const char * clip_path = params.mmproj.path.c_str();
|
||||
mtmd_context_params mparams = mtmd_context_params_default();
|
||||
mparams.use_gpu = params.mmproj_use_gpu;
|
||||
mparams.device = params.mmproj_device;
|
||||
mparams.print_timings = true;
|
||||
mparams.n_threads = params.cpuparams.n_threads;
|
||||
mparams.flash_attn_type = params.flash_attn_type;
|
||||
|
||||
@@ -456,6 +456,7 @@ static clip_flash_attn_type mtmd_get_clip_flash_attn_type(enum llama_flash_attn_
|
||||
mtmd_context_params mtmd_context_params_default() {
|
||||
mtmd_context_params params {
|
||||
/* use_gpu */ true,
|
||||
/* device */ nullptr,
|
||||
/* print_timings */ true,
|
||||
/* n_threads */ 4,
|
||||
/* image_marker */ nullptr,
|
||||
@@ -564,6 +565,7 @@ struct mtmd_context {
|
||||
|
||||
clip_context_params ctx_clip_params {
|
||||
/* use_gpu */ ctx_params.use_gpu,
|
||||
/* device */ ctx_params.device,
|
||||
/* flash_attn_type */ mtmd_get_clip_flash_attn_type(ctx_params.flash_attn_type),
|
||||
/* image_min_tokens */ ctx_params.image_min_tokens,
|
||||
/* image_max_tokens */ ctx_params.image_max_tokens,
|
||||
|
||||
@@ -89,6 +89,7 @@ typedef bool (*mtmd_progress_callback)(float progress, void * user_data);
|
||||
|
||||
struct mtmd_context_params {
|
||||
bool use_gpu;
|
||||
ggml_backend_dev_t device;
|
||||
bool print_timings;
|
||||
int n_threads;
|
||||
const char * image_marker; // deprecated, use media_marker instead
|
||||
|
||||
@@ -178,6 +178,7 @@ For the full list of features, please refer to [server's changelog](https://gith
|
||||
| `-mmu, --mmproj-url URL` | URL to a multimodal projector file. see tools/mtmd/README.md<br/>(env: LLAMA_ARG_MMPROJ_URL) |
|
||||
| `--mmproj-auto, --no-mmproj, --no-mmproj-auto` | whether to use multimodal projector file (if available), useful when using -hf (default: enabled)<br/>(env: LLAMA_ARG_MMPROJ_AUTO) |
|
||||
| `--mmproj-offload, --no-mmproj-offload` | whether to enable GPU offloading for multimodal projector (default: enabled)<br/>(env: LLAMA_ARG_MMPROJ_OFFLOAD) |
|
||||
| `-mmdev, --mmproj-device DEVICE` | device to use for multimodal projector (none = don't offload, default: auto)<br/>use --list-devices to see a list of available devices<br/>(env: MTMD_BACKEND_DEVICE) |
|
||||
| `--image-min-tokens N` | minimum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)<br/>(env: LLAMA_ARG_IMAGE_MIN_TOKENS) |
|
||||
| `--image-max-tokens N` | maximum number of tokens each image can take, only used by vision models with dynamic resolution (default: read from model)<br/>(env: LLAMA_ARG_IMAGE_MAX_TOKENS) |
|
||||
| `--mtmd-batch-max-tokens N` | maximum number of image tokens per batch when encoding images (default: 1024)<br/>(env: LLAMA_ARG_MTMD_BATCH_MAX_TOKENS) |
|
||||
@@ -196,11 +197,11 @@ For the full list of features, please refer to [server's changelog](https://gith
|
||||
| `--ui-config, --webui-config JSON` | JSON that provides default UI settings (overrides UI defaults)<br/>(env: LLAMA_ARG_UI_CONFIG) |
|
||||
| `--ui-config-file, --webui-config-file PATH` | JSON file that provides default UI settings (overrides UI defaults)<br/>(env: LLAMA_ARG_UI_CONFIG_FILE) |
|
||||
| `--ui-mcp-proxy, --webui-mcp-proxy, --no-ui-mcp-proxy, --no-webui-mcp-proxy` | experimental: whether to enable MCP CORS proxy - do not enable in untrusted environments (default: disabled)<br/>(env: LLAMA_ARG_UI_MCP_PROXY) |
|
||||
| `--tools TOOL1,TOOL2,...` | experimental: whether to enable server tools for AI agents - do not enable in untrusted environments (default: no tools)<br/>specify "all" to enable all tools<br/>available tools: read_file, file_glob_search, grep_search, exec_shell_command, write_file, edit_file, get_info<br/>note: for security reasons, this will limit --cors-origins to localhost by default<br/>(env: LLAMA_ARG_TOOLS) |
|
||||
| `--tools TOOL1,TOOL2,...` | experimental: whether to enable built-in tools for AI agents - do not enable in untrusted environments (default: no tools)<br/>specify "all" to enable all tools<br/>available tools: read_file, file_glob_search, grep_search, exec_shell_command, write_file, edit_file, get_info<br/>note: for security reasons, this will limit --cors-origins to localhost by default<br/>(env: LLAMA_ARG_TOOLS) |
|
||||
| `--tools-runtime OPTION` | experimental: run tools in a separate runtime environment (default: none, use host environment)<br/>available options:<br/> 'docker:<image>', 'podman:<image>': spin up a new container and reuse it for all invocations, clean up on server exit<br/> 'docker-container:<id>', 'podman-container:<id>': use an existing container by ID, won't stop on server exit<br/> 'ssh:<target>': run tools on a remote POSIX host over SSH, key-based auth and a trusted host key are required<br/><br/>(env: LLAMA_ARG_TOOLS_RUNTIME) |
|
||||
| `--mcp-servers-config PATH` | experimental: path to JSON file with MCP server definitions (Cursor-compatible format) - do not enable in untrusted environments (default: none)<br/>note: for security reasons, this will limit --cors-origins to localhost by default<br/>(env: LLAMA_ARG_MCP_SERVERS_CONFIG) |
|
||||
| `--mcp-servers-json JSON` | experimental: inline JSON with MCP server definitions (Cursor-compatible format) - do not enable in untrusted environments (default: none)<br/>note: for security reasons, this will limit --cors-origins to localhost by default<br/>(env: LLAMA_ARG_MCP_SERVERS_JSON) |
|
||||
| `-ag, --agent, -no-ag, --no-agent` | whether to enable CORS proxy and all server tools - do not enable in untrusted environments (default: disabled)<br/>note: for security reasons, this will limit --cors-origins to localhost by default<br/>(env: LLAMA_ARG_AGENT) |
|
||||
| `-ag, --agent, -no-ag, --no-agent` | whether to enable CORS proxy and all built-in tools - do not enable in untrusted environments (default: disabled)<br/>note: for security reasons, this will limit --cors-origins to localhost by default<br/>(env: LLAMA_ARG_AGENT) |
|
||||
| `--ui, --webui, --no-ui, --no-webui` | whether to enable the Web UI (default: enabled)<br/>(env: LLAMA_ARG_UI) |
|
||||
| `--embedding, --embeddings` | restrict to only support embedding use case; use only with dedicated embedding models (default: disabled)<br/>(env: LLAMA_ARG_EMBEDDINGS) |
|
||||
| `--rerank, --reranking` | enable reranking endpoint on server (default: disabled)<br/>(env: LLAMA_ARG_RERANKING) |
|
||||
|
||||
@@ -998,6 +998,7 @@ private:
|
||||
mtmd_context_params mparams = mtmd_context_params_default();
|
||||
if (has_mmproj) {
|
||||
mparams.use_gpu = params_base.mmproj_use_gpu;
|
||||
mparams.device = params_base.mmproj_device;
|
||||
mparams.print_timings = false;
|
||||
mparams.n_threads = params_base.cpuparams.n_threads;
|
||||
mparams.flash_attn_type = params_base.flash_attn_type;
|
||||
@@ -1039,62 +1040,7 @@ private:
|
||||
}
|
||||
}
|
||||
|
||||
// optionally reserve VRAM for the draft / MTP context before fitting the target model
|
||||
if (params_base.fit_params) {
|
||||
if (has_spec) {
|
||||
// MTP draft context lives on the target model, only context+compute are new
|
||||
bool measure_model_bytes = has_draft;
|
||||
|
||||
common_params params_dft = common_base_params_to_speculative(params_base);
|
||||
|
||||
auto mparams_dft = common_model_params_to_llama(params_dft);
|
||||
auto cparams_dft = common_context_params_to_llama(params_dft);
|
||||
if (spec_mtp) {
|
||||
cparams_dft.ctx_type = LLAMA_CONTEXT_TYPE_MTP;
|
||||
}
|
||||
cparams_dft.n_rs_seq = 0;
|
||||
|
||||
std::vector<ggml_backend_dev_t> devs;
|
||||
uint32_t hp_ngl = 0;
|
||||
uint32_t hp_nct = 0;
|
||||
uint32_t hp_nex = 0;
|
||||
try {
|
||||
auto dmd = common_get_device_memory_data(
|
||||
params_dft.model.path.c_str(), &mparams_dft, &cparams_dft,
|
||||
devs, hp_ngl, hp_nct, hp_nex, GGML_LOG_LEVEL_ERROR);
|
||||
|
||||
GGML_ASSERT(!params_base.fit_params_target.empty());
|
||||
size_t total = 0;
|
||||
|
||||
std::vector<ggml_backend_dev_t> tgt_devices = params.devices;
|
||||
|
||||
if (tgt_devices.empty()) {
|
||||
for(size_t i = 0; i < ggml_backend_dev_count(); ++i) {
|
||||
tgt_devices.push_back(ggml_backend_dev_get(i));
|
||||
}
|
||||
}
|
||||
|
||||
for (size_t j = 0; j < devs.size(); ++j) {
|
||||
const size_t bytes = (measure_model_bytes ? dmd[j].model : 0) + dmd[j].context + dmd[j].compute;
|
||||
total += bytes;
|
||||
for (size_t i = 0; i < tgt_devices.size(); i++) {
|
||||
if (tgt_devices[i] == devs[j]) {
|
||||
SRV_DBG("[spec] adding %.2f MiB to fit_params_target for device %s\n",
|
||||
bytes / (1024.0 * 1024.0), ggml_backend_dev_name(devs[j]));
|
||||
params_base.fit_params_target[i] += bytes;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
SRV_TRC("[spec] estimated memory usage of %s is %.2f MiB\n",
|
||||
has_draft ? "draft model" : "MTP context",
|
||||
total / (1024.0 * 1024.0));
|
||||
} catch (const std::exception & e) {
|
||||
SRV_WRN("[spec] failed to measure %s memory: %s\n",
|
||||
has_draft ? "draft model" : "MTP context", e.what());
|
||||
}
|
||||
}
|
||||
}
|
||||
// note: the draft / MTP context is fitted together with the target model, see common_fit_extra_model
|
||||
|
||||
// attach a progress callback
|
||||
{
|
||||
|
||||
@@ -86,6 +86,7 @@ int main(int argc, char ** argv) {
|
||||
|
||||
mtmd_context_params mtmd_params = mtmd_context_params_default();
|
||||
mtmd_params.use_gpu = params.mmproj_use_gpu;
|
||||
mtmd_params.device = params.mmproj_device;
|
||||
mtmd::context_ptr mctx(mtmd_init_from_file(params.mmproj.path.c_str(), model, mtmd_params));
|
||||
if (!mctx) {
|
||||
LOG_ERR("failed to load mmproj %s\n", params.mmproj.path.c_str());
|
||||
|
||||
+106
-60
@@ -239,31 +239,44 @@ Routes → Components → Hooks → Stores → Services → Storage/API
|
||||
|
||||
### High-Level Architecture
|
||||
|
||||
See: [`docs/architecture/high-level-architecture-simplified.md`](docs/architecture/high-level-architecture-simplified.md)
|
||||
|
||||
```mermaid
|
||||
flowchart TB
|
||||
subgraph Routes["📍 Routes"]
|
||||
R1["/ (Welcome)"]
|
||||
R2["/chat/[id]"]
|
||||
R3["/mcp-servers"]
|
||||
R4["/search"]
|
||||
R5["/settings"]
|
||||
RL["+layout.svelte"]
|
||||
end
|
||||
|
||||
subgraph Components["🧩 Components"]
|
||||
C_Sidebar["ChatSidebar"]
|
||||
C_Screen["ChatScreen"]
|
||||
C_Form["ChatForm"]
|
||||
C_Messages["ChatMessages"]
|
||||
C_ModelsSelector["ModelsSelector"]
|
||||
C_Sidebar["ChatSidebar"]
|
||||
C_Models["ModelsSelector"]
|
||||
C_Settings["ChatSettings"]
|
||||
C_Mcp["McpServers"]
|
||||
end
|
||||
|
||||
subgraph Hooks["🔌 Hooks"]
|
||||
H1["use-chat-screen-active-model"]
|
||||
H2["use-processing-state"]
|
||||
H3["use-context-gauge"]
|
||||
H4["use-models-selector"]
|
||||
H5["use-tools-panel"]
|
||||
end
|
||||
|
||||
subgraph Stores["🗄️ Stores"]
|
||||
S1["chatStore"]
|
||||
S2["conversationsStore"]
|
||||
S3["modelsStore"]
|
||||
S4["serverStore"]
|
||||
S5["settingsStore"]
|
||||
S4["mcpStore"]
|
||||
S5["agenticStore"]
|
||||
S6["serverStore"]
|
||||
S7["settingsStore"]
|
||||
S8["toolsStore"]
|
||||
end
|
||||
|
||||
subgraph Services["⚙️ Services"]
|
||||
@@ -271,6 +284,9 @@ flowchart TB
|
||||
SV2["ModelsService"]
|
||||
SV3["PropsService"]
|
||||
SV4["DatabaseService"]
|
||||
SV5["MCPService"]
|
||||
SV6["ToolsService"]
|
||||
SV7["SandboxService"]
|
||||
end
|
||||
|
||||
subgraph Storage["💾 Storage"]
|
||||
@@ -282,19 +298,28 @@ flowchart TB
|
||||
API1["/v1/chat/completions"]
|
||||
API2["/props"]
|
||||
API3["/models/*"]
|
||||
API4["/tools"]
|
||||
end
|
||||
|
||||
R1 & R2 --> C_Screen
|
||||
RL --> C_Sidebar
|
||||
C_Screen --> C_Form & C_Messages & C_Settings
|
||||
C_Screen --> S1 & S2
|
||||
C_ModelsSelector --> S3 & S4
|
||||
C_Screen --> H1 & H2 & H3
|
||||
C_Models --> H4
|
||||
C_Mcp --> S4
|
||||
C_Screen --> S1 & S2 & S3
|
||||
C_Models --> S3
|
||||
H1 --> S3
|
||||
S1 --> SV1 & SV4
|
||||
S2 --> SV4
|
||||
S3 --> SV2 & SV3
|
||||
S4 --> SV5
|
||||
S5 --> SV1 & SV5 & SV6 & SV7
|
||||
SV4 --> ST1
|
||||
SV1 --> API1
|
||||
SV2 --> API3
|
||||
SV3 --> API2
|
||||
SV6 --> API4
|
||||
```
|
||||
|
||||
### Layer Breakdown
|
||||
@@ -303,6 +328,9 @@ flowchart TB
|
||||
|
||||
- **`/`** - Welcome screen, creates new conversation
|
||||
- **`/chat/[id]`** - Active chat interface
|
||||
- **`/mcp-servers`** - MCP server management
|
||||
- **`/search`** - Conversation search
|
||||
- **`/settings`** - Settings (optional `[[section]]`)
|
||||
- **`+layout.svelte`** - Sidebar, navigation, global initialization
|
||||
|
||||
#### Components (`src/lib/components/`)
|
||||
@@ -348,28 +376,68 @@ Components are organized in `app/` (application-specific) and `ui/` (shadcn-svel
|
||||
|
||||
#### Hooks (`src/lib/hooks/`)
|
||||
|
||||
- **`useModelChangeValidation`** - Validates model switch against conversation modalities
|
||||
- **`useProcessingState`** - Tracks streaming progress and token generation
|
||||
Hooks are the thin view-layer between components and stores: they own UI concerns (scroll, drag-and-drop, keyboard shortcuts, pickers, selection) and translate store state into view state.
|
||||
|
||||
| Hook | Responsibility |
|
||||
| ------------------------------- | -------------------------------------------------------------- |
|
||||
| `use-chat-screen-active-model` | Active model resolution + modality capability detection |
|
||||
| `use-processing-state` | View over `chatStore.processing` for streaming progress/tokens |
|
||||
| `use-context-gauge` | View over `contextStatsStore` for the context usage gauge |
|
||||
| `use-models-selector` | Model selector dropdown state (loaded/available groups) |
|
||||
| `use-tools-panel` | Tools panel state |
|
||||
| `use-reasoning-menu` | Reasoning-effort menu state |
|
||||
| `use-attachment-menu` | Attachment menu + modality flags |
|
||||
| `use-draft-messages` | Per-chat draft message/files persistence |
|
||||
| `use-chat-form-pickers` | Chat form pickers (commands, mentions) |
|
||||
| `use-debounced-search` | Shared debounced async search for pickers |
|
||||
| `use-picker-navigation` | Picker keyboard navigation |
|
||||
| `use-chat-message-edit-context` | Message edit context (content + extras) |
|
||||
| `use-chat-screen-drag-and-drop` | Drag-and-drop state machine |
|
||||
| `use-chat-screen-file-upload` | File upload queue + capability validation |
|
||||
| `use-chat-screen-scroll` | Scroll container binding + navigation guard |
|
||||
| `use-auto-scroll` | Auto-scroll controller for streaming |
|
||||
| `use-marquee-selection` | Shift+click / marquee range selection |
|
||||
| `use-keyboard-shortcuts` | Global keyboard shortcuts |
|
||||
| `use-settings-navigation` | Settings section navigation |
|
||||
| `use-pwa` | PWA install/update + version mismatch detection |
|
||||
|
||||
#### Stores (`src/lib/stores/`)
|
||||
|
||||
| Store | Responsibility |
|
||||
| -------------------- | --------------------------------------------------------- |
|
||||
| `chatStore` | Message sending, streaming, abort control, error handling |
|
||||
| `conversationsStore` | CRUD for conversations, message branching, navigation |
|
||||
| `modelsStore` | Model list, selection, loading/unloading (ROUTER) |
|
||||
| `serverStore` | Server properties, role detection, modalities |
|
||||
| `settingsStore` | User preferences, parameter sync with server defaults |
|
||||
Stores own reactive application state as Svelte 5 runes. Larger stores are split into directories and compose focused sub-stores behind a narrow host interface (see Architectural Patterns).
|
||||
|
||||
| Store | Responsibility |
|
||||
| -------------------- | --------------------------------------------------------------------------------------------------------------- |
|
||||
| `chatStore` | Chat lifecycle, streaming, abort control, error handling; composes `processing`, `activity`, `streams`, `flows` |
|
||||
| `conversationsStore` | Conversation CRUD, message branching, navigation, import/export; composes `preferences` |
|
||||
| `modelsStore` | Model list, selection, loading/unloading (ROUTER); composes `props`, `status` |
|
||||
| `mcpStore` | MCP host role: multi-server lifecycle, tool routing; composes `health`, `resources` |
|
||||
| `agenticStore` | Multi-turn agentic loop orchestration, tool execution; composes `gates` |
|
||||
| `serverStore` | Server connection state, `/props`, role detection, modalities |
|
||||
| `settingsStore` | User preferences, theme, parameter sync with server defaults |
|
||||
| `toolsStore` | Tool registry: server + MCP tools, enabled set for the LLM |
|
||||
| `permissionsStore` | Persisted tool permission grants |
|
||||
| `contextStatsStore` | Context window usage for the active conversation |
|
||||
| `draftMessagesStore` | Per-chat draft message/files |
|
||||
| `deviceStore` | Browser environment signals (mobile, OS, theme) |
|
||||
| `versionStore` | Build version information |
|
||||
|
||||
#### Services (`src/lib/services/`)
|
||||
|
||||
| Service | Responsibility |
|
||||
| ---------------------- | ----------------------------------------------- |
|
||||
| `ChatService` | API calls to`/v1/chat/completions`, SSE parsing |
|
||||
| `ModelsService` | `/models`, `/models/load`, `/models/unload` |
|
||||
| `PropsService` | `/props`, `/props?model=` |
|
||||
| `DatabaseService` | IndexedDB operations via Dexie |
|
||||
| `ParameterSyncService` | Syncs settings with server defaults |
|
||||
Services are a stateless protocol layer: static methods, pure I/O, no reactive state. Stores consume them for all API and storage access.
|
||||
|
||||
| Service | Responsibility |
|
||||
| ----------------------------- | ------------------------------------------------------------------------- |
|
||||
| `ChatService` | `/v1/chat/completions` streaming + SSE parsing, message format conversion |
|
||||
| `ModelsService` | `/models`, `/models/load`, `/models/unload` |
|
||||
| `PropsService` | `/props`, `/props?model=` |
|
||||
| `DatabaseService` | IndexedDB operations via Dexie |
|
||||
| `MCPService` | MCP protocol: transports, connect, list/execute tools, prompts, resources |
|
||||
| `ToolsService` | Server tool list/execute/stream (`/tools`) |
|
||||
| `SandboxService` | Browser JS execution in a sandboxed worker |
|
||||
| `ParameterSyncService` | Syncs settings with server defaults |
|
||||
| `ConversationTransferService` | Conversation import/export JSONL + ZIP format |
|
||||
| `MigrationService` | Non-destructive localStorage/IndexedDB migrations |
|
||||
| `RouterService` | Dynamic route URL construction |
|
||||
|
||||
---
|
||||
|
||||
@@ -377,8 +445,6 @@ Components are organized in `app/` (application-specific) and `ui/` (shadcn-svel
|
||||
|
||||
### MODEL Mode (Single Model)
|
||||
|
||||
See: [`docs/flows/data-flow-simplified-model-mode.md`](docs/flows/data-flow-simplified-model-mode.md)
|
||||
|
||||
```mermaid
|
||||
sequenceDiagram
|
||||
participant User
|
||||
@@ -388,8 +454,9 @@ sequenceDiagram
|
||||
participant API as llama-server
|
||||
|
||||
Note over User,API: Initialization
|
||||
UI->>Stores: initialize()
|
||||
Stores->>DB: load conversations
|
||||
UI->>Stores: initStores() (awaited by route loads)
|
||||
Stores->>Stores: run migrations
|
||||
Stores->>DB: load conversations (background)
|
||||
Stores->>API: GET /props
|
||||
API-->>Stores: server config
|
||||
Stores->>API: GET /v1/models
|
||||
@@ -408,8 +475,6 @@ sequenceDiagram
|
||||
|
||||
### ROUTER Mode (Multi-Model)
|
||||
|
||||
See: [`docs/flows/data-flow-simplified-router-mode.md`](docs/flows/data-flow-simplified-router-mode.md)
|
||||
|
||||
```mermaid
|
||||
sequenceDiagram
|
||||
participant User
|
||||
@@ -441,17 +506,6 @@ sequenceDiagram
|
||||
end
|
||||
```
|
||||
|
||||
### Detailed Flow Diagrams
|
||||
|
||||
| Flow | Description | File |
|
||||
| ------------- | ------------------------------------------ | ----------------------------------------------------------- |
|
||||
| Chat | Message lifecycle, streaming, regeneration | [`chat-flow.md`](docs/flows/chat-flow.md) |
|
||||
| Models | Loading, unloading, modality caching | [`models-flow.md`](docs/flows/models-flow.md) |
|
||||
| Server | Props fetching, role detection | [`server-flow.md`](docs/flows/server-flow.md) |
|
||||
| Conversations | CRUD, branching, import/export | [`conversations-flow.md`](docs/flows/conversations-flow.md) |
|
||||
| Database | IndexedDB schema, operations | [`database-flow.md`](docs/flows/database-flow.md) |
|
||||
| Settings | Parameter sync, user overrides | [`settings-flow.md`](docs/flows/settings-flow.md) |
|
||||
|
||||
---
|
||||
|
||||
## Architectural Patterns
|
||||
@@ -505,13 +559,14 @@ Components dispatch actions to stores, stores coordinate with services for I/O,
|
||||
|
||||
### 3. Per-Conversation State
|
||||
|
||||
Enables concurrent streaming across multiple conversations:
|
||||
Enables concurrent streaming across multiple conversations. Loading is tracked
|
||||
per conversation by the activity ledger (`chatStore.activity`), while streaming
|
||||
state and abort controllers live in per-conversation maps:
|
||||
|
||||
```typescript
|
||||
class ChatStore {
|
||||
chatLoadingStates = new Map<string, boolean>();
|
||||
chatStreamingStates = new Map<string, { response: string; messageId: string }>();
|
||||
abortControllers = new Map<string, AbortController>();
|
||||
chatStreamingStates = new SvelteMap<string, { response: string; messageId: string }>();
|
||||
abortControllers = new SvelteMap<string, AbortController>();
|
||||
}
|
||||
```
|
||||
|
||||
@@ -567,20 +622,14 @@ get isRouterMode() {
|
||||
|
||||
### 7. Modality Validation
|
||||
|
||||
Prevents sending attachments to incompatible models:
|
||||
Prevents sending attachments to incompatible models. The
|
||||
`use-chat-screen-active-model` hook derives the active model's capabilities
|
||||
from `modelsStore.props`:
|
||||
|
||||
```typescript
|
||||
// useModelChangeValidation hook
|
||||
const validate = (modelId: string) => {
|
||||
const modelModalities = modelsStore.getModelModalities(modelId);
|
||||
const conversationModalities = conversationsStore.usedModalities;
|
||||
|
||||
// Check if model supports all used modalities
|
||||
if (conversationModalities.hasImages && !modelModalities.vision) {
|
||||
return { valid: false, reason: 'Model does not support images' };
|
||||
}
|
||||
// ...
|
||||
};
|
||||
// use-chat-screen-active-model hook
|
||||
const hasVisionModality = $derived.by(() => modelsStore.props.modelSupportsVision(activeModelId));
|
||||
const hasAudioModality = $derived.by(() => modelsStore.props.modelSupportsAudio(activeModelId));
|
||||
```
|
||||
|
||||
### 8. Persistent Storage Strategy
|
||||
@@ -673,9 +722,6 @@ tools/ui/
|
||||
│ └── styles/ # Global styles
|
||||
├── static/ # Static assets
|
||||
├── tests/ # Test files
|
||||
├── docs/ # Architecture diagrams
|
||||
│ ├── architecture/ # High-level architecture
|
||||
│ └── flows/ # Feature-specific flows
|
||||
└── .storybook/ # Storybook configuration
|
||||
```
|
||||
|
||||
|
||||
@@ -1,145 +0,0 @@
|
||||
```mermaid
|
||||
flowchart TB
|
||||
subgraph Routes["📍 Routes"]
|
||||
R1["/ (Welcome)"]
|
||||
R2["/chat/[id]"]
|
||||
RL["+layout.svelte"]
|
||||
end
|
||||
|
||||
subgraph Components["🧩 Components"]
|
||||
C_Sidebar["ChatSidebar"]
|
||||
C_Screen["ChatScreen"]
|
||||
C_Form["ChatForm"]
|
||||
C_Messages["ChatMessages"]
|
||||
C_Message["ChatMessage"]
|
||||
C_ChatMessageAgenticContent["ChatMessageAgenticContent"]
|
||||
C_MessageEditForm["ChatMessageEditForm"]
|
||||
C_ModelsSelector["ModelsSelector"]
|
||||
C_Settings["ChatSettings"]
|
||||
C_McpSettings["McpServersSettings"]
|
||||
C_McpResourceBrowser["McpResourceBrowser"]
|
||||
C_McpServersSelector["McpServersSelector"]
|
||||
end
|
||||
|
||||
subgraph Hooks["🪝 Hooks"]
|
||||
H1["useModelChangeValidation"]
|
||||
H2["useProcessingState"]
|
||||
end
|
||||
|
||||
subgraph Stores["🗄️ Stores"]
|
||||
S1["chatStore<br/><i>Chat interactions & streaming</i>"]
|
||||
SA["agenticStore<br/><i>Multi-turn agentic loop orchestration</i>"]
|
||||
S2["conversationsStore<br/><i>Conversation data, messages & MCP overrides</i>"]
|
||||
S3["modelsStore<br/><i>Model selection & loading</i>"]
|
||||
S4["serverStore<br/><i>Server props & role detection</i>"]
|
||||
S5["settingsStore<br/><i>User configuration incl. MCP</i>"]
|
||||
S6["mcpStore<br/><i>MCP servers, tools, prompts</i>"]
|
||||
S7["mcpResourceStore<br/><i>MCP resources & attachments</i>"]
|
||||
end
|
||||
|
||||
subgraph Services["⚙️ Services"]
|
||||
SV1["ChatService"]
|
||||
SV2["ModelsService"]
|
||||
SV3["PropsService"]
|
||||
SV4["DatabaseService"]
|
||||
SV5["ParameterSyncService"]
|
||||
SV6["MCPService<br/><i>protocol operations</i>"]
|
||||
end
|
||||
|
||||
subgraph Storage["💾 Storage"]
|
||||
ST1["IndexedDB<br/><i>conversations, messages</i>"]
|
||||
ST2["LocalStorage<br/><i>config, userOverrides, mcpServers</i>"]
|
||||
end
|
||||
|
||||
subgraph APIs["🌐 llama-server API"]
|
||||
API1["/v1/chat/completions"]
|
||||
API2["/props"]
|
||||
API3["/models/*"]
|
||||
API4["/v1/models"]
|
||||
end
|
||||
|
||||
subgraph ExternalMCP["🔌 External MCP Servers"]
|
||||
EXT1["MCP Server 1<br/><i>WebSocket/HTTP/SSE</i>"]
|
||||
EXT2["MCP Server N"]
|
||||
end
|
||||
|
||||
%% Routes → Components
|
||||
R1 & R2 --> C_Screen
|
||||
RL --> C_Sidebar
|
||||
|
||||
%% Layout runs MCP health checks
|
||||
RL --> S6
|
||||
|
||||
%% Component hierarchy
|
||||
C_Screen --> C_Form & C_Messages & C_Settings
|
||||
C_Messages --> C_Message
|
||||
C_Message --> C_ChatMessageAgenticContent
|
||||
C_Message --> C_MessageEditForm
|
||||
C_Form & C_MessageEditForm --> C_ModelsSelector
|
||||
C_Form --> C_McpServersSelector
|
||||
C_Settings --> C_McpSettings
|
||||
C_McpSettings --> C_McpResourceBrowser
|
||||
|
||||
%% Components → Hooks → Stores
|
||||
C_Form & C_Messages --> H1 & H2
|
||||
H1 --> S3 & S4
|
||||
H2 --> S1 & S5
|
||||
|
||||
%% Components → Stores
|
||||
C_Screen --> S1 & S2
|
||||
C_Sidebar --> S2
|
||||
C_ModelsSelector --> S3 & S4
|
||||
C_Settings --> S5
|
||||
C_McpSettings --> S6
|
||||
C_McpResourceBrowser --> S6 & S7
|
||||
C_McpServersSelector --> S6
|
||||
C_Form --> S6
|
||||
|
||||
%% chatStore → agenticStore → mcpStore (agentic loop)
|
||||
S1 --> SA
|
||||
SA --> SV1
|
||||
SA --> S6
|
||||
|
||||
%% Stores → Services
|
||||
S1 --> SV1 & SV4
|
||||
S2 --> SV4
|
||||
S3 --> SV2 & SV3
|
||||
S4 --> SV3
|
||||
S5 --> SV5
|
||||
S6 --> SV6
|
||||
S7 --> SV6
|
||||
|
||||
%% Services → Storage
|
||||
SV4 --> ST1
|
||||
SV5 --> ST2
|
||||
|
||||
%% Services → APIs
|
||||
SV1 --> API1
|
||||
SV2 --> API3 & API4
|
||||
SV3 --> API2
|
||||
|
||||
%% MCP → External Servers
|
||||
SV6 --> EXT1 & EXT2
|
||||
|
||||
%% Styling
|
||||
classDef routeStyle fill:#e1f5fe,stroke:#01579b,stroke-width:2px
|
||||
classDef componentStyle fill:#f3e5f5,stroke:#7b1fa2,stroke-width:2px
|
||||
classDef hookStyle fill:#fff8e1,stroke:#ff8f00,stroke-width:2px
|
||||
classDef storeStyle fill:#fff3e0,stroke:#e65100,stroke-width:2px
|
||||
classDef serviceStyle fill:#e8f5e9,stroke:#2e7d32,stroke-width:2px
|
||||
classDef storageStyle fill:#fce4ec,stroke:#c2185b,stroke-width:2px
|
||||
classDef apiStyle fill:#e3f2fd,stroke:#1565c0,stroke-width:2px
|
||||
classDef mcpStyle fill:#e0f2f1,stroke:#00695c,stroke-width:2px
|
||||
classDef agenticStyle fill:#e8eaf6,stroke:#283593,stroke-width:2px
|
||||
classDef externalStyle fill:#f3e5f5,stroke:#6a1b9a,stroke-width:2px,stroke-dasharray: 5 5
|
||||
|
||||
class R1,R2,RL routeStyle
|
||||
class C_Sidebar,C_Screen,C_Form,C_Messages,C_Message,C_ChatMessageAgenticContent,C_MessageEditForm,C_ModelsSelector,C_Settings componentStyle
|
||||
class C_McpSettings,C_McpResourceBrowser,C_McpServersSelector componentStyle
|
||||
class H1,H2 hookStyle
|
||||
class S1,S2,S3,S4,S5,SA,S6,S7 storeStyle
|
||||
class SV1,SV2,SV3,SV4,SV5,SV6 serviceStyle
|
||||
class ST1,ST2 storageStyle
|
||||
class API1,API2,API3,API4 apiStyle
|
||||
class EXT1,EXT2 externalStyle
|
||||
```
|
||||
@@ -1,373 +0,0 @@
|
||||
```mermaid
|
||||
flowchart TB
|
||||
subgraph Routes["📍 Routes"]
|
||||
R1["/ (+page.svelte)"]
|
||||
R2["/chat/[id]"]
|
||||
RL["+layout.svelte"]
|
||||
end
|
||||
|
||||
subgraph Components["🧩 Components"]
|
||||
direction TB
|
||||
subgraph LayoutComponents["Layout"]
|
||||
C_Sidebar["ChatSidebar"]
|
||||
C_Screen["ChatScreen"]
|
||||
end
|
||||
subgraph ChatUIComponents["Chat UI"]
|
||||
C_Form["ChatForm"]
|
||||
C_Messages["ChatMessages"]
|
||||
C_Message["ChatMessage"]
|
||||
C_MessageUser["ChatMessageUser"]
|
||||
C_MessageEditForm["ChatMessageEditForm"]
|
||||
C_Attach["ChatAttachments"]
|
||||
C_ModelsSelector["ModelsSelector"]
|
||||
C_Settings["ChatSettings"]
|
||||
end
|
||||
subgraph MCPComponents["MCP UI"]
|
||||
C_McpSettings["McpServersSettings"]
|
||||
C_McpServerCard["McpServerCard"]
|
||||
C_McpResourceBrowser["McpResourceBrowser"]
|
||||
C_McpResourcePreview["McpResourcePreview"]
|
||||
C_McpServersSelector["McpServersSelector"]
|
||||
end
|
||||
end
|
||||
|
||||
subgraph Hooks["🪝 Hooks"]
|
||||
H1["useModelChangeValidation"]
|
||||
H2["useProcessingState"]
|
||||
H3["isMobile"]
|
||||
end
|
||||
|
||||
subgraph Stores["🗄️ Stores"]
|
||||
direction TB
|
||||
subgraph S1["chatStore"]
|
||||
S1State["<b>State:</b><br/>isLoading, currentResponse<br/>errorDialogState<br/>activeProcessingState<br/>chatLoadingStates<br/>chatStreamingStates<br/>abortControllers<br/>processingStates<br/>activeConversationId<br/>isStreamingActive"]
|
||||
S1LoadState["<b>Loading State:</b><br/>setChatLoading()<br/>isChatLoading()<br/>syncLoadingStateForChat()<br/>clearUIState()<br/>isChatLoadingPublic()<br/>getAllLoadingChats()<br/>getAllStreamingChats()"]
|
||||
S1ProcState["<b>Processing State:</b><br/>setActiveProcessingConversation()<br/>getProcessingState()<br/>clearProcessingState()<br/>getActiveProcessingState()<br/>updateProcessingStateFromTimings()<br/>getCurrentProcessingStateSync()<br/>restoreProcessingStateFromMessages()"]
|
||||
S1Stream["<b>Streaming:</b><br/>streamChatCompletion()<br/>startStreaming()<br/>stopStreaming()<br/>stopGeneration()<br/>isStreaming()"]
|
||||
S1Error["<b>Error Handling:</b><br/>showErrorDialog()<br/>dismissErrorDialog()<br/>isAbortError()"]
|
||||
S1Msg["<b>Message Operations:</b><br/>addMessage()<br/>sendMessage()<br/>updateMessage()<br/>deleteMessage()<br/>getDeletionInfo()"]
|
||||
S1Regen["<b>Regeneration:</b><br/>regenerateMessage()<br/>regenerateMessageWithBranching()<br/>continueAssistantMessage()"]
|
||||
S1Edit["<b>Editing:</b><br/>editAssistantMessage()<br/>editUserMessagePreserveResponses()<br/>editMessageWithBranching()<br/>clearEditMode()<br/>isEditModeActive()<br/>getAddFilesHandler()<br/>setEditModeActive()"]
|
||||
S1Utils["<b>Utilities:</b><br/>getApiOptions()<br/>parseTimingData()<br/>getOrCreateAbortController()<br/>getConversationModel()"]
|
||||
end
|
||||
subgraph SA["agenticStore"]
|
||||
SAState["<b>State:</b><br/>sessions (Map)<br/>isAnyRunning"]
|
||||
SASession["<b>Session Management:</b><br/>getSession()<br/>updateSession()<br/>clearSession()<br/>getActiveSessions()<br/>isRunning()<br/>currentTurn()<br/>totalToolCalls()<br/>lastError()<br/>streamingToolCall()"]
|
||||
SAConfig["<b>Configuration:</b><br/>getConfig()<br/>maxTurns, maxToolPreviewLines"]
|
||||
SAFlow["<b>Agentic Loop:</b><br/>runAgenticFlow()<br/>executeAgenticLoop()<br/>normalizeToolCalls()<br/>emitToolCallResult()<br/>extractBase64Attachments()"]
|
||||
end
|
||||
subgraph S2["conversationsStore"]
|
||||
S2State["<b>State:</b><br/>conversations<br/>activeConversation<br/>activeMessages<br/>isInitialized<br/>pendingMcpServerOverrides<br/>titleUpdateConfirmationCallback"]
|
||||
S2Lifecycle["<b>Lifecycle:</b><br/>initialize()<br/>loadConversations()<br/>clearActiveConversation()"]
|
||||
S2ConvCRUD["<b>Conversation CRUD:</b><br/>createConversation()<br/>loadConversation()<br/>deleteConversation()<br/>deleteAll()<br/>updateConversationName()<br/>updateConversationTitleWithConfirmation()"]
|
||||
S2MsgMgmt["<b>Message Management:</b><br/>refreshActiveMessages()<br/>addMessageToActive()<br/>updateMessageAtIndex()<br/>findMessageIndex()<br/>sliceActiveMessages()<br/>removeMessageAtIndex()<br/>getConversationMessages()"]
|
||||
S2Nav["<b>Navigation:</b><br/>navigateToSibling()<br/>updateCurrentNode()<br/>updateConversationTimestamp()"]
|
||||
S2McpOverrides["<b>MCP Per-Chat Overrides:</b><br/>getMcpServerOverride()<br/>getAllMcpServerOverrides()<br/>setMcpServerOverride()<br/>toggleMcpServerForChat()<br/>removeMcpServerOverride()<br/>isMcpServerEnabledForChat()<br/>clearPendingMcpServerOverrides()"]
|
||||
S2Export["<b>Import/Export:</b><br/>downloadConversation()<br/>exportAllConversations()<br/>importConversations()<br/>importConversationsData()<br/>triggerDownload()"]
|
||||
S2Utils["<b>Utilities:</b><br/>setTitleUpdateConfirmationCallback()"]
|
||||
end
|
||||
subgraph S3["modelsStore"]
|
||||
S3State["<b>State:</b><br/>models, routerModels<br/>selectedModelId<br/>selectedModelName<br/>loading, updating, error<br/>modelLoadingStates<br/>modelPropsCache<br/>modelPropsFetching<br/>propsCacheVersion"]
|
||||
S3Getters["<b>Computed Getters:</b><br/>selectedModel<br/>loadedModelIds<br/>loadingModelIds<br/>singleModelName"]
|
||||
S3Modal["<b>Modalities:</b><br/>getModelModalities()<br/>modelSupportsVision()<br/>modelSupportsAudio()<br/>getModelModalitiesArray()<br/>getModelProps()<br/>updateModelModalities()"]
|
||||
S3Status["<b>Status Queries:</b><br/>isModelLoaded()<br/>isModelOperationInProgress()<br/>getModelStatus()<br/>isModelPropsFetching()"]
|
||||
S3Fetch["<b>Data Fetching:</b><br/>fetch()<br/>fetchRouterModels()<br/>fetchModelProps()<br/>fetchModalitiesForLoadedModels()"]
|
||||
S3Select["<b>Model Selection:</b><br/>selectModelById()<br/>selectModelByName()<br/>clearSelection()<br/>findModelByName()<br/>findModelById()<br/>hasModel()"]
|
||||
S3LoadUnload["<b>Loading/Unloading Models:</b><br/>loadModel()<br/>unloadModel()<br/>ensureModelLoaded()<br/>waitForModelStatus()<br/>pollForModelStatus()"]
|
||||
S3Utils["<b>Utilities:</b><br/>toDisplayName()<br/>clear()"]
|
||||
end
|
||||
subgraph S4["serverStore"]
|
||||
S4State["<b>State:</b><br/>props<br/>loading, error<br/>role<br/>fetchPromise"]
|
||||
S4Getters["<b>Getters:</b><br/>defaultParams<br/>contextSize<br/>isRouterMode<br/>isModelMode"]
|
||||
S4Data["<b>Data Handling:</b><br/>fetch()<br/>getErrorMessage()<br/>clear()"]
|
||||
S4Utils["<b>Utilities:</b><br/>detectRole()"]
|
||||
end
|
||||
subgraph S5["settingsStore"]
|
||||
S5State["<b>State:</b><br/>config<br/>theme<br/>isInitialized<br/>userOverrides"]
|
||||
S5Lifecycle["<b>Lifecycle:</b><br/>initialize()<br/>loadConfig()<br/>saveConfig()<br/>loadTheme()<br/>saveTheme()"]
|
||||
S5Update["<b>Config Updates:</b><br/>updateConfig()<br/>updateMultipleConfig()<br/>updateTheme()"]
|
||||
S5Reset["<b>Reset:</b><br/>resetConfig()<br/>resetTheme()<br/>resetAll()<br/>resetParameterToServerDefault()"]
|
||||
S5Sync["<b>Server Sync:</b><br/>syncWithServerDefaults()<br/>forceSyncWithServerDefaults()"]
|
||||
S5Utils["<b>Utilities:</b><br/>getConfig()<br/>getAllConfig()<br/>getParameterInfo()<br/>getParameterDiff()<br/>getServerDefaults()<br/>clearAllUserOverrides()"]
|
||||
end
|
||||
subgraph S6["mcpStore"]
|
||||
S6State["<b>State:</b><br/>isInitializing, error<br/>toolCount, connectedServers<br/>healthChecks (Map)<br/>connections (Map)<br/>toolsIndex (Map)"]
|
||||
S6Lifecycle["<b>Lifecycle:</b><br/>ensureInitialized()<br/>initialize()<br/>shutdown()<br/>acquireConnection()<br/>releaseConnection()"]
|
||||
S6Health["<b>Health Checks:</b><br/>runHealthCheck()<br/>runHealthChecksForServers()<br/>updateHealthCheck()<br/>getHealthCheckState()<br/>clearHealthCheck()"]
|
||||
S6Servers["<b>Server Management:</b><br/>getServers()<br/>addServer()<br/>updateServer()<br/>removeServer()<br/>getServerById()<br/>getServerDisplayName()"]
|
||||
S6Tools["<b>Tool Operations:</b><br/>getToolDefinitionsForLLM()<br/>getToolNames()<br/>hasTool()<br/>getToolServer()<br/>executeTool()<br/>executeToolByName()"]
|
||||
S6Prompts["<b>Prompt Operations:</b><br/>getAllPrompts()<br/>getPrompt()<br/>hasPromptsCapability()<br/>getPromptCompletions()"]
|
||||
end
|
||||
subgraph S7["mcpResourceStore"]
|
||||
S7State["<b>State:</b><br/>serverResources (Map)<br/>cachedResources (Map)<br/>subscriptions (Map)<br/>attachments[]<br/>isLoading"]
|
||||
S7Resources["<b>Resource Discovery:</b><br/>setServerResources()<br/>getServerResources()<br/>getAllResourceInfos()<br/>getAllTemplateInfos()<br/>clearServerResources()"]
|
||||
S7Cache["<b>Caching:</b><br/>cacheResourceContent()<br/>getCachedContent()<br/>invalidateCache()<br/>clearCache()"]
|
||||
S7Subs["<b>Subscriptions:</b><br/>addSubscription()<br/>removeSubscription()<br/>isSubscribed()<br/>handleResourceUpdate()"]
|
||||
S7Attach["<b>Attachments:</b><br/>addAttachment()<br/>updateAttachmentContent()<br/>removeAttachment()<br/>clearAttachments()<br/>toMessageExtras()"]
|
||||
end
|
||||
|
||||
subgraph ReactiveExports["⚡ Reactive Exports"]
|
||||
direction LR
|
||||
subgraph ChatExports["chatStore"]
|
||||
RE1["isLoading()"]
|
||||
RE2["currentResponse()"]
|
||||
RE3["errorDialog()"]
|
||||
RE4["activeProcessingState()"]
|
||||
RE5["isChatStreaming()"]
|
||||
RE6["isChatLoading()"]
|
||||
RE7["getChatStreaming()"]
|
||||
RE8["getAllLoadingChats()"]
|
||||
RE9["getAllStreamingChats()"]
|
||||
RE9a["isEditModeActive()"]
|
||||
RE9b["getAddFilesHandler()"]
|
||||
RE9c["setEditModeActive()"]
|
||||
RE9d["clearEditMode()"]
|
||||
end
|
||||
subgraph AgenticExports["agenticStore"]
|
||||
REA1["agenticIsRunning()"]
|
||||
REA2["agenticCurrentTurn()"]
|
||||
REA3["agenticTotalToolCalls()"]
|
||||
REA4["agenticLastError()"]
|
||||
REA5["agenticStreamingToolCall()"]
|
||||
REA6["agenticIsAnyRunning()"]
|
||||
end
|
||||
subgraph ConvExports["conversationsStore"]
|
||||
RE10["conversations()"]
|
||||
RE11["activeConversation()"]
|
||||
RE12["activeMessages()"]
|
||||
RE13["isConversationsInitialized()"]
|
||||
end
|
||||
subgraph ModelsExports["modelsStore"]
|
||||
RE15["modelOptions()"]
|
||||
RE16["routerModels()"]
|
||||
RE17["modelsLoading()"]
|
||||
RE18["modelsUpdating()"]
|
||||
RE19["modelsError()"]
|
||||
RE20["selectedModelId()"]
|
||||
RE21["selectedModelName()"]
|
||||
RE22["selectedModelOption()"]
|
||||
RE23["loadedModelIds()"]
|
||||
RE24["loadingModelIds()"]
|
||||
RE25["propsCacheVersion()"]
|
||||
RE26["singleModelName()"]
|
||||
end
|
||||
subgraph ServerExports["serverStore"]
|
||||
RE27["serverProps()"]
|
||||
RE28["serverLoading()"]
|
||||
RE29["serverError()"]
|
||||
RE30["serverRole()"]
|
||||
RE31["defaultParams()"]
|
||||
RE32["contextSize()"]
|
||||
RE33["isRouterMode()"]
|
||||
RE34["isModelMode()"]
|
||||
end
|
||||
subgraph SettingsExports["settingsStore"]
|
||||
RE35["config()"]
|
||||
RE36["theme()"]
|
||||
RE37["isInitialized()"]
|
||||
end
|
||||
subgraph MCPExports["mcpStore / mcpResourceStore"]
|
||||
RE38["mcpResources()"]
|
||||
RE39["mcpResourceAttachments()"]
|
||||
RE40["mcpHasResourceAttachments()"]
|
||||
RE41["mcpTotalResourceCount()"]
|
||||
RE42["mcpResourcesLoading()"]
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
subgraph Services["⚙️ Services"]
|
||||
direction TB
|
||||
subgraph SV1["ChatService"]
|
||||
SV1Msg["<b>Messaging:</b><br/>sendMessage()"]
|
||||
SV1Stream["<b>Streaming:</b><br/>handleStreamResponse()<br/>handleNonStreamResponse()"]
|
||||
SV1Convert["<b>Conversion:</b><br/>convertDbMessageToApiChatMessageData()<br/>mergeToolCallDeltas()"]
|
||||
SV1Utils["<b>Utilities:</b><br/>stripReasoningContent()<br/>extractModelName()<br/>parseErrorResponse()"]
|
||||
end
|
||||
subgraph SV2["ModelsService"]
|
||||
SV2List["<b>Listing:</b><br/>list()<br/>listRouter()"]
|
||||
SV2LoadUnload["<b>Load/Unload:</b><br/>load()<br/>unload()"]
|
||||
SV2Status["<b>Status:</b><br/>isModelLoaded()<br/>isModelLoading()"]
|
||||
end
|
||||
subgraph SV3["PropsService"]
|
||||
SV3Fetch["<b>Fetching:</b><br/>fetch()<br/>fetchForModel()"]
|
||||
end
|
||||
subgraph SV4["DatabaseService"]
|
||||
SV4Conv["<b>Conversations:</b><br/>createConversation()<br/>getConversation()<br/>getAllConversations()<br/>updateConversation()<br/>deleteConversation()"]
|
||||
SV4Msg["<b>Messages:</b><br/>createMessageBranch()<br/>createRootMessage()<br/>createSystemMessage()<br/>getConversationMessages()<br/>updateMessage()<br/>deleteMessage()<br/>deleteMessageCascading()"]
|
||||
SV4Node["<b>Navigation:</b><br/>updateCurrentNode()"]
|
||||
SV4Import["<b>Import:</b><br/>importConversations()"]
|
||||
end
|
||||
subgraph SV5["ParameterSyncService"]
|
||||
SV5Extract["<b>Extraction:</b><br/>extractServerDefaults()"]
|
||||
SV5Merge["<b>Merging:</b><br/>mergeWithServerDefaults()"]
|
||||
SV5Info["<b>Info:</b><br/>getParameterInfo()<br/>canSyncParameter()<br/>getSyncableParameterKeys()<br/>validateServerParameter()"]
|
||||
SV5Diff["<b>Diff:</b><br/>createParameterDiff()"]
|
||||
end
|
||||
subgraph SV6["MCPService"]
|
||||
SV6Transport["<b>Transport:</b><br/>createTransport()<br/>WebSocket / StreamableHTTP / SSE"]
|
||||
SV6Conn["<b>Connection:</b><br/>connect()<br/>disconnect()"]
|
||||
SV6Tools["<b>Tools:</b><br/>listTools()<br/>callTool()"]
|
||||
SV6Prompts["<b>Prompts:</b><br/>listPrompts()<br/>getPrompt()"]
|
||||
SV6Resources["<b>Resources:</b><br/>listResources()<br/>listResourceTemplates()<br/>readResource()<br/>subscribeResource()<br/>unsubscribeResource()"]
|
||||
SV6Complete["<b>Completions:</b><br/>complete()"]
|
||||
end
|
||||
end
|
||||
|
||||
subgraph ExternalMCP["🔌 External MCP Servers"]
|
||||
EXT1["MCP Server 1<br/>(WebSocket/StreamableHTTP/SSE)"]
|
||||
EXT2["MCP Server N"]
|
||||
end
|
||||
|
||||
subgraph Storage["💾 Storage"]
|
||||
ST1["IndexedDB"]
|
||||
ST2["conversations"]
|
||||
ST3["messages"]
|
||||
ST5["LocalStorage"]
|
||||
ST6["config"]
|
||||
ST7["userOverrides"]
|
||||
ST8["mcpServers"]
|
||||
end
|
||||
|
||||
subgraph APIs["🌐 llama-server API"]
|
||||
API1["/v1/chat/completions"]
|
||||
API2["/props<br/>/props?model="]
|
||||
API3["/models<br/>/models/load<br/>/models/unload"]
|
||||
API4["/v1/models"]
|
||||
end
|
||||
|
||||
%% Routes render Components
|
||||
R1 --> C_Screen
|
||||
R2 --> C_Screen
|
||||
RL --> C_Sidebar
|
||||
|
||||
%% Layout runs MCP health checks on startup
|
||||
RL --> S6
|
||||
|
||||
%% Component hierarchy
|
||||
C_Screen --> C_Form & C_Messages & C_Settings
|
||||
C_Messages --> C_Message
|
||||
C_Message --> C_MessageUser
|
||||
C_MessageUser --> C_MessageEditForm
|
||||
C_MessageEditForm --> C_ModelsSelector
|
||||
C_MessageEditForm --> C_Attach
|
||||
C_Form --> C_ModelsSelector
|
||||
C_Form --> C_Attach
|
||||
C_Form --> C_McpServersSelector
|
||||
C_Message --> C_Attach
|
||||
|
||||
%% MCP Components hierarchy
|
||||
C_Settings --> C_McpSettings
|
||||
C_McpSettings --> C_McpServerCard
|
||||
C_McpServerCard --> C_McpResourceBrowser
|
||||
C_McpResourceBrowser --> C_McpResourcePreview
|
||||
|
||||
%% Components use Hooks
|
||||
C_Form --> H1
|
||||
C_Message --> H1 & H2
|
||||
C_MessageEditForm --> H1
|
||||
C_Screen --> H2
|
||||
|
||||
%% Hooks use Stores
|
||||
H1 --> S3 & S4
|
||||
H2 --> S1 & S5
|
||||
|
||||
%% Components use Stores
|
||||
C_Screen --> S1 & S2
|
||||
C_Messages --> S2
|
||||
C_Message --> S1 & S2 & S3
|
||||
C_Form --> S1 & S3 & S6
|
||||
C_Sidebar --> S2
|
||||
C_ModelsSelector --> S3 & S4
|
||||
C_Settings --> S5
|
||||
C_McpSettings --> S6
|
||||
C_McpServerCard --> S6
|
||||
C_McpResourceBrowser --> S6 & S7
|
||||
C_McpServersSelector --> S6
|
||||
|
||||
%% Stores export Reactive State
|
||||
S1 -. exports .-> ChatExports
|
||||
SA -. exports .-> AgenticExports
|
||||
S2 -. exports .-> ConvExports
|
||||
S3 -. exports .-> ModelsExports
|
||||
S4 -. exports .-> ServerExports
|
||||
S5 -. exports .-> SettingsExports
|
||||
S6 -. exports .-> MCPExports
|
||||
S7 -. exports .-> MCPExports
|
||||
|
||||
%% chatStore → agenticStore (agentic loop orchestration)
|
||||
S1 --> SA
|
||||
SA --> SV1
|
||||
SA --> S6
|
||||
|
||||
%% Stores use Services
|
||||
S1 --> SV1 & SV4
|
||||
S2 --> SV4
|
||||
S3 --> SV2 & SV3
|
||||
S4 --> SV3
|
||||
S5 --> SV5
|
||||
S6 --> SV6
|
||||
S7 --> SV6
|
||||
|
||||
%% Services to Storage
|
||||
SV4 --> ST1
|
||||
ST1 --> ST2 & ST3
|
||||
SV5 --> ST5
|
||||
ST5 --> ST6 & ST7 & ST8
|
||||
|
||||
%% Services to APIs
|
||||
SV1 --> API1
|
||||
SV2 --> API3 & API4
|
||||
SV3 --> API2
|
||||
|
||||
%% MCP → External Servers
|
||||
SV6 --> EXT1 & EXT2
|
||||
|
||||
%% Styling
|
||||
classDef routeStyle fill:#e1f5fe,stroke:#01579b,stroke-width:2px
|
||||
classDef componentStyle fill:#f3e5f5,stroke:#7b1fa2,stroke-width:2px
|
||||
classDef componentGroupStyle fill:#e1bee7,stroke:#7b1fa2,stroke-width:1px
|
||||
classDef hookStyle fill:#fff8e1,stroke:#ff8f00,stroke-width:2px
|
||||
classDef storeStyle fill:#fff3e0,stroke:#e65100,stroke-width:2px
|
||||
classDef stateStyle fill:#ffe0b2,stroke:#e65100,stroke-width:1px
|
||||
classDef methodStyle fill:#ffecb3,stroke:#e65100,stroke-width:1px
|
||||
classDef reactiveStyle fill:#fffde7,stroke:#f9a825,stroke-width:1px
|
||||
classDef serviceStyle fill:#e8f5e9,stroke:#2e7d32,stroke-width:2px
|
||||
classDef serviceMStyle fill:#c8e6c9,stroke:#2e7d32,stroke-width:1px
|
||||
classDef externalStyle fill:#f3e5f5,stroke:#6a1b9a,stroke-width:2px,stroke-dasharray: 5 5
|
||||
classDef storageStyle fill:#fce4ec,stroke:#c2185b,stroke-width:2px
|
||||
classDef apiStyle fill:#e3f2fd,stroke:#1565c0,stroke-width:2px
|
||||
|
||||
class R1,R2,RL routeStyle
|
||||
class C_Sidebar,C_Screen,C_Form,C_Messages,C_Message,C_MessageUser,C_MessageEditForm componentStyle
|
||||
class C_ModelsSelector,C_Settings componentStyle
|
||||
class C_Attach componentStyle
|
||||
class C_McpSettings,C_McpServerCard,C_McpResourceBrowser,C_McpResourcePreview,C_McpServersSelector componentStyle
|
||||
class H1,H2,H3 hookStyle
|
||||
class LayoutComponents,ChatUIComponents,MCPComponents componentGroupStyle
|
||||
class Hooks hookStyle
|
||||
classDef agenticStyle fill:#e8eaf6,stroke:#283593,stroke-width:2px
|
||||
classDef agenticMethodStyle fill:#c5cae9,stroke:#283593,stroke-width:1px
|
||||
|
||||
class S1,S2,S3,S4,S5,SA,S6,S7 storeStyle
|
||||
class S1State,S2State,S3State,S4State,S5State,SAState,S6State,S7State stateStyle
|
||||
class S1Msg,S1Regen,S1Edit,S1Stream,S1LoadState,S1ProcState,S1Error,S1Utils methodStyle
|
||||
class SASession,SAConfig,SAFlow methodStyle
|
||||
class S2Lifecycle,S2ConvCRUD,S2MsgMgmt,S2Nav,S2McpOverrides,S2Export,S2Utils methodStyle
|
||||
class S3Getters,S3Modal,S3Status,S3Fetch,S3Select,S3LoadUnload,S3Utils methodStyle
|
||||
class S4Getters,S4Data,S4Utils methodStyle
|
||||
class S5Lifecycle,S5Update,S5Reset,S5Sync,S5Utils methodStyle
|
||||
class S6Lifecycle,S6Health,S6Servers,S6Tools,S6Prompts methodStyle
|
||||
class S7Resources,S7Cache,S7Subs,S7Attach methodStyle
|
||||
class ChatExports,AgenticExports,ConvExports,ModelsExports,ServerExports,SettingsExports,MCPExports reactiveStyle
|
||||
class SV1,SV2,SV3,SV4,SV5,SV6 serviceStyle
|
||||
class SV6Transport,SV6Conn,SV6Tools,SV6Prompts,SV6Resources,SV6Complete serviceMStyle
|
||||
class EXT1,EXT2 externalStyle
|
||||
class SV1Msg,SV1Stream,SV1Convert,SV1Utils serviceMStyle
|
||||
class SV2List,SV2LoadUnload,SV2Status serviceMStyle
|
||||
class SV3Fetch serviceMStyle
|
||||
class SV4Conv,SV4Msg,SV4Node,SV4Import serviceMStyle
|
||||
class SV5Extract,SV5Merge,SV5Info,SV5Diff serviceMStyle
|
||||
class ST1,ST2,ST3,ST5,ST6,ST7,ST8 storageStyle
|
||||
class API1,API2,API3,API4 apiStyle
|
||||
```
|
||||
@@ -1,228 +0,0 @@
|
||||
```mermaid
|
||||
sequenceDiagram
|
||||
participant UI as 🧩 ChatForm / ChatMessage
|
||||
participant chatStore as 🗄️ chatStore
|
||||
participant agenticStore as 🗄️ agenticStore
|
||||
participant convStore as 🗄️ conversationsStore
|
||||
participant settingsStore as 🗄️ settingsStore
|
||||
participant mcpStore as 🗄️ mcpStore
|
||||
participant ChatSvc as ⚙️ ChatService
|
||||
participant DbSvc as ⚙️ DatabaseService
|
||||
participant API as 🌐 /v1/chat/completions
|
||||
|
||||
Note over chatStore: State:<br/>isLoading, currentResponse<br/>errorDialogState, activeProcessingState<br/>chatLoadingStates (Map)<br/>chatStreamingStates (Map)<br/>abortControllers (Map)<br/>processingStates (Map)
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: 💬 SEND MESSAGE
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>chatStore: sendMessage(content, extras)
|
||||
activate chatStore
|
||||
|
||||
chatStore->>chatStore: setChatLoading(convId, true)
|
||||
chatStore->>chatStore: clearChatStreaming(convId)
|
||||
|
||||
alt no active conversation
|
||||
chatStore->>convStore: createConversation()
|
||||
Note over convStore: → see conversations-flow.mmd
|
||||
end
|
||||
|
||||
chatStore->>mcpStore: consumeResourceAttachmentsAsExtras()
|
||||
Note right of mcpStore: Converts pending MCP resource<br/>attachments into message extras
|
||||
|
||||
chatStore->>chatStore: addMessage("user", content, extras)
|
||||
chatStore->>DbSvc: createMessageBranch(userMsg, parentId)
|
||||
chatStore->>convStore: addMessageToActive(userMsg)
|
||||
chatStore->>convStore: updateCurrentNode(userMsg.id)
|
||||
|
||||
chatStore->>chatStore: createAssistantMessage(userMsg.id)
|
||||
chatStore->>DbSvc: createMessageBranch(assistantMsg, userMsg.id)
|
||||
chatStore->>convStore: addMessageToActive(assistantMsg)
|
||||
|
||||
chatStore->>chatStore: streamChatCompletion(messages, assistantMsg)
|
||||
deactivate chatStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: 🌊 STREAMING (with agentic flow detection)
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
activate chatStore
|
||||
chatStore->>chatStore: startStreaming()
|
||||
Note right of chatStore: isStreamingActive = true
|
||||
|
||||
chatStore->>chatStore: setActiveProcessingConversation(convId)
|
||||
chatStore->>chatStore: getOrCreateAbortController(convId)
|
||||
Note right of chatStore: abortControllers.set(convId, new AbortController())
|
||||
|
||||
chatStore->>chatStore: getApiOptions()
|
||||
Note right of chatStore: Merge from settingsStore.config:<br/>temperature, max_tokens, top_p, etc.
|
||||
|
||||
alt agenticConfig.enabled && mcpStore has connected servers
|
||||
chatStore->>agenticStore: runAgenticFlow(convId, messages, assistantMsg, options, signal)
|
||||
Note over agenticStore: Multi-turn agentic loop:<br/>1. Call ChatService.sendMessage()<br/>2. If response has tool_calls → execute via mcpStore<br/>3. Append tool results as messages<br/>4. Loop until no more tool_calls or maxTurns<br/>→ see agentic flow details below
|
||||
agenticStore-->>chatStore: final response with timings
|
||||
else standard (non-agentic) flow
|
||||
chatStore->>ChatSvc: sendMessage(messages, options, signal)
|
||||
end
|
||||
|
||||
activate ChatSvc
|
||||
|
||||
ChatSvc->>ChatSvc: convertDbMessageToApiChatMessageData(messages)
|
||||
Note right of ChatSvc: DatabaseMessage[] → ApiChatMessageData[]<br/>Process attachments (images, PDFs, audio)
|
||||
|
||||
ChatSvc->>API: POST /v1/chat/completions
|
||||
Note right of API: {messages, model?, stream: true, ...params}
|
||||
|
||||
loop SSE chunks
|
||||
API-->>ChatSvc: data: {"choices":[{"delta":{...}}]}
|
||||
ChatSvc->>ChatSvc: handleStreamResponse(response)
|
||||
|
||||
alt content chunk
|
||||
ChatSvc-->>chatStore: onChunk(content)
|
||||
chatStore->>chatStore: setChatStreaming(convId, response, msgId)
|
||||
Note right of chatStore: currentResponse = $state(accumulated)
|
||||
chatStore->>convStore: updateMessageAtIndex(idx, {content})
|
||||
end
|
||||
|
||||
alt reasoning chunk
|
||||
ChatSvc-->>chatStore: onReasoningChunk(reasoning)
|
||||
chatStore->>convStore: updateMessageAtIndex(idx, {thinking})
|
||||
end
|
||||
|
||||
alt tool_calls chunk
|
||||
ChatSvc-->>chatStore: onToolCallChunk(toolCalls)
|
||||
chatStore->>convStore: updateMessageAtIndex(idx, {toolCalls})
|
||||
end
|
||||
|
||||
alt model info
|
||||
ChatSvc-->>chatStore: onModel(modelName)
|
||||
chatStore->>chatStore: recordModel(modelName)
|
||||
chatStore->>DbSvc: updateMessage(msgId, {model})
|
||||
end
|
||||
|
||||
alt timings (during stream)
|
||||
ChatSvc-->>chatStore: onTimings(timings, promptProgress)
|
||||
chatStore->>chatStore: updateProcessingStateFromTimings()
|
||||
end
|
||||
|
||||
chatStore-->>UI: reactive $state update
|
||||
end
|
||||
|
||||
API-->>ChatSvc: data: [DONE]
|
||||
ChatSvc-->>chatStore: onComplete(content, reasoning, timings, toolCalls)
|
||||
deactivate ChatSvc
|
||||
|
||||
chatStore->>chatStore: stopStreaming()
|
||||
chatStore->>DbSvc: updateMessage(msgId, {content, timings, model})
|
||||
chatStore->>convStore: updateCurrentNode(msgId)
|
||||
chatStore->>chatStore: setChatLoading(convId, false)
|
||||
chatStore->>chatStore: clearChatStreaming(convId)
|
||||
chatStore->>chatStore: clearProcessingState(convId)
|
||||
deactivate chatStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: ⏹️ STOP GENERATION
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>chatStore: stopGeneration()
|
||||
activate chatStore
|
||||
chatStore->>chatStore: savePartialResponseIfNeeded(convId)
|
||||
Note right of chatStore: Save currentResponse to DB if non-empty
|
||||
chatStore->>chatStore: abortControllers.get(convId).abort()
|
||||
Note right of chatStore: fetch throws AbortError → caught by isAbortError()
|
||||
chatStore->>chatStore: stopStreaming()
|
||||
chatStore->>chatStore: setChatLoading(convId, false)
|
||||
chatStore->>chatStore: clearChatStreaming(convId)
|
||||
chatStore->>chatStore: clearProcessingState(convId)
|
||||
deactivate chatStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: 🔁 REGENERATE
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>chatStore: regenerateMessageWithBranching(msgId, model?)
|
||||
activate chatStore
|
||||
chatStore->>convStore: findMessageIndex(msgId)
|
||||
chatStore->>chatStore: Get parent of target message
|
||||
chatStore->>chatStore: createAssistantMessage(parentId)
|
||||
chatStore->>DbSvc: createMessageBranch(newAssistantMsg, parentId)
|
||||
chatStore->>convStore: refreshActiveMessages()
|
||||
Note right of chatStore: Same streaming flow
|
||||
chatStore->>chatStore: streamChatCompletion(...)
|
||||
deactivate chatStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: ➡️ CONTINUE
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>chatStore: continueAssistantMessage(msgId)
|
||||
activate chatStore
|
||||
chatStore->>chatStore: Get existing content from message
|
||||
chatStore->>chatStore: streamChatCompletion(..., existingContent)
|
||||
Note right of chatStore: Appends to existing message content
|
||||
deactivate chatStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: ✏️ EDIT USER MESSAGE
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>chatStore: editMessageWithBranching(msgId, newContent, extras)
|
||||
activate chatStore
|
||||
chatStore->>chatStore: Get parent of target message
|
||||
chatStore->>DbSvc: createMessageBranch(editedMsg, parentId)
|
||||
chatStore->>convStore: refreshActiveMessages()
|
||||
Note right of chatStore: Creates new branch, original preserved
|
||||
chatStore->>chatStore: createAssistantMessage(editedMsg.id)
|
||||
chatStore->>chatStore: streamChatCompletion(...)
|
||||
Note right of chatStore: Automatically regenerates response
|
||||
deactivate chatStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: ❌ ERROR HANDLING
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over chatStore: On stream error (non-abort):
|
||||
chatStore->>chatStore: showErrorDialog(type, message)
|
||||
Note right of chatStore: errorDialogState = {type: 'timeout'|'server', message}
|
||||
chatStore->>convStore: removeMessageAtIndex(failedMsgIdx)
|
||||
chatStore->>DbSvc: deleteMessage(failedMsgId)
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: 🤖 AGENTIC LOOP (when agenticConfig.enabled)
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over agenticStore: agenticStore.runAgenticFlow(convId, messages, assistantMsg, options, signal)
|
||||
activate agenticStore
|
||||
agenticStore->>agenticStore: getSession(convId) or create new
|
||||
agenticStore->>agenticStore: updateSession(turn: 0, running: true)
|
||||
|
||||
loop executeAgenticLoop (until no tool_calls or maxTurns)
|
||||
agenticStore->>agenticStore: turn++
|
||||
agenticStore->>ChatSvc: sendMessage(messages, options, signal)
|
||||
ChatSvc->>API: POST /v1/chat/completions
|
||||
API-->>ChatSvc: response with potential tool_calls
|
||||
ChatSvc-->>agenticStore: onComplete(content, reasoning, timings, toolCalls)
|
||||
|
||||
alt response has tool_calls
|
||||
agenticStore->>agenticStore: normalizeToolCalls(toolCalls)
|
||||
loop for each tool_call
|
||||
agenticStore->>agenticStore: updateSession(streamingToolCall)
|
||||
agenticStore->>mcpStore: executeTool(mcpCall, signal)
|
||||
mcpStore-->>agenticStore: tool result
|
||||
agenticStore->>agenticStore: extractBase64Attachments(result)
|
||||
agenticStore->>agenticStore: emitToolCallResult(convId, ...)
|
||||
agenticStore->>convStore: addMessageToActive(toolResultMsg)
|
||||
agenticStore->>DbSvc: createMessageBranch(toolResultMsg)
|
||||
end
|
||||
agenticStore->>agenticStore: Create new assistantMsg for next turn
|
||||
Note right of agenticStore: Continue loop with updated messages
|
||||
else no tool_calls (final response)
|
||||
agenticStore->>agenticStore: buildFinalTimings(allTurns)
|
||||
Note right of agenticStore: Break loop, return final response
|
||||
end
|
||||
end
|
||||
|
||||
agenticStore->>agenticStore: updateSession(running: false)
|
||||
agenticStore-->>chatStore: final content, timings, model
|
||||
deactivate agenticStore
|
||||
```
|
||||
@@ -1,183 +0,0 @@
|
||||
```mermaid
|
||||
sequenceDiagram
|
||||
participant UI as 🧩 ChatSidebar / ChatScreen
|
||||
participant convStore as 🗄️ conversationsStore
|
||||
participant chatStore as 🗄️ chatStore
|
||||
participant DbSvc as ⚙️ DatabaseService
|
||||
participant IDB as 💾 IndexedDB
|
||||
|
||||
Note over convStore: State:<br/>conversations: DatabaseConversation[]<br/>activeConversation: DatabaseConversation | null<br/>activeMessages: DatabaseMessage[]<br/>isInitialized: boolean<br/>pendingMcpServerOverrides: Map<string, McpServerOverride>
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,IDB: 🚀 INITIALIZATION
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over convStore: Auto-initialized in constructor (browser only)
|
||||
convStore->>convStore: initialize()
|
||||
activate convStore
|
||||
convStore->>convStore: loadConversations()
|
||||
convStore->>DbSvc: getAllConversations()
|
||||
DbSvc->>IDB: SELECT * FROM conversations ORDER BY lastModified DESC
|
||||
IDB-->>DbSvc: Conversation[]
|
||||
DbSvc-->>convStore: conversations
|
||||
convStore->>convStore: conversations = $state(data)
|
||||
convStore->>convStore: isInitialized = true
|
||||
deactivate convStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,IDB: ➕ CREATE CONVERSATION
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>convStore: createConversation(name?)
|
||||
activate convStore
|
||||
convStore->>DbSvc: createConversation(name || "New Chat")
|
||||
DbSvc->>IDB: INSERT INTO conversations
|
||||
IDB-->>DbSvc: conversation {id, name, lastModified, currNode: ""}
|
||||
DbSvc-->>convStore: conversation
|
||||
convStore->>convStore: conversations.unshift(conversation)
|
||||
convStore->>convStore: activeConversation = $state(conversation)
|
||||
convStore->>convStore: activeMessages = $state([])
|
||||
|
||||
alt pendingMcpServerOverrides has entries
|
||||
loop each pending override
|
||||
convStore->>DbSvc: Store MCP server override for new conversation
|
||||
end
|
||||
convStore->>convStore: clearPendingMcpServerOverrides()
|
||||
end
|
||||
deactivate convStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,IDB: 📂 LOAD CONVERSATION
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>convStore: loadConversation(convId)
|
||||
activate convStore
|
||||
convStore->>DbSvc: getConversation(convId)
|
||||
DbSvc->>IDB: SELECT * FROM conversations WHERE id = ?
|
||||
IDB-->>DbSvc: conversation
|
||||
convStore->>convStore: activeConversation = $state(conversation)
|
||||
|
||||
convStore->>convStore: refreshActiveMessages()
|
||||
convStore->>DbSvc: getConversationMessages(convId)
|
||||
DbSvc->>IDB: SELECT * FROM messages WHERE convId = ?
|
||||
IDB-->>DbSvc: allMessages[]
|
||||
convStore->>convStore: filterByLeafNodeId(allMessages, currNode)
|
||||
Note right of convStore: Filter to show only current branch path
|
||||
convStore->>convStore: activeMessages = $state(filtered)
|
||||
|
||||
Note right of convStore: Route (+page.svelte) then calls:<br/>chatStore.syncLoadingStateForChat(convId)
|
||||
deactivate convStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,IDB: 🌳 MESSAGE BRANCHING MODEL
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over IDB: Message Tree Structure:<br/>- Each message has parent (null for root)<br/>- Each message has children[] array<br/>- Conversation.currNode points to active leaf<br/>- filterByLeafNodeId() traverses from root to currNode
|
||||
|
||||
rect rgb(240, 240, 255)
|
||||
Note over convStore: Example Branch Structure:
|
||||
Note over convStore: root → user1 → assistant1 → user2 → assistant2a (currNode)<br/> ↘ assistant2b (alt branch)
|
||||
end
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,IDB: ↔️ BRANCH NAVIGATION
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>convStore: navigateToSibling(msgId, direction)
|
||||
activate convStore
|
||||
convStore->>convStore: Find message in activeMessages
|
||||
convStore->>convStore: Get parent message
|
||||
convStore->>convStore: Find sibling in parent.children[]
|
||||
convStore->>convStore: findLeafNode(siblingId, allMessages)
|
||||
Note right of convStore: Navigate to leaf of sibling branch
|
||||
convStore->>convStore: updateCurrentNode(leafId)
|
||||
convStore->>DbSvc: updateCurrentNode(convId, leafId)
|
||||
DbSvc->>IDB: UPDATE conversations SET currNode = ?
|
||||
convStore->>convStore: refreshActiveMessages()
|
||||
deactivate convStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,IDB: 📝 UPDATE CONVERSATION
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>convStore: updateConversationName(convId, newName)
|
||||
activate convStore
|
||||
convStore->>DbSvc: updateConversation(convId, {name: newName})
|
||||
DbSvc->>IDB: UPDATE conversations SET name = ?
|
||||
convStore->>convStore: Update in conversations array
|
||||
deactivate convStore
|
||||
|
||||
Note over convStore: Auto-title update (after first response):
|
||||
convStore->>convStore: updateConversationTitleWithConfirmation()
|
||||
convStore->>convStore: titleUpdateConfirmationCallback?()
|
||||
Note right of convStore: Shows dialog if title would change
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,IDB: 🗑️ DELETE CONVERSATION
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>convStore: deleteConversation(convId)
|
||||
activate convStore
|
||||
convStore->>DbSvc: deleteConversation(convId)
|
||||
DbSvc->>IDB: DELETE FROM conversations WHERE id = ?
|
||||
DbSvc->>IDB: DELETE FROM messages WHERE convId = ?
|
||||
convStore->>convStore: conversations.filter(c => c.id !== convId)
|
||||
alt deleted active conversation
|
||||
convStore->>convStore: clearActiveConversation()
|
||||
end
|
||||
deactivate convStore
|
||||
|
||||
UI->>convStore: deleteAll()
|
||||
activate convStore
|
||||
convStore->>DbSvc: Delete all conversations and messages
|
||||
convStore->>convStore: conversations = []
|
||||
convStore->>convStore: clearActiveConversation()
|
||||
deactivate convStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,IDB: � MCP SERVER PER-CHAT OVERRIDES
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over convStore: Conversations can override which MCP servers are enabled.
|
||||
Note over convStore: Uses pendingMcpServerOverrides before conversation<br/>is created, then persists to conversation metadata.
|
||||
|
||||
UI->>convStore: setMcpServerOverride(convId, serverName, override)
|
||||
Note right of convStore: override = {enabled: boolean}
|
||||
|
||||
UI->>convStore: toggleMcpServerForChat(convId, serverName, enabled)
|
||||
activate convStore
|
||||
convStore->>convStore: setMcpServerOverride(convId, serverName, {enabled})
|
||||
deactivate convStore
|
||||
|
||||
UI->>convStore: isMcpServerEnabledForChat(convId, serverName)
|
||||
Note right of convStore: Check override → fall back to global MCP config
|
||||
|
||||
UI->>convStore: getAllMcpServerOverrides(convId)
|
||||
Note right of convStore: Returns all overrides for a conversation
|
||||
|
||||
UI->>convStore: removeMcpServerOverride(convId, serverName)
|
||||
UI->>convStore: getMcpServerOverride(convId, serverName)
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,IDB: 📤 EXPORT / 📥 IMPORT
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>convStore: exportAllConversations()
|
||||
activate convStore
|
||||
convStore->>DbSvc: getAllConversations()
|
||||
loop each conversation
|
||||
convStore->>DbSvc: getConversationMessages(convId)
|
||||
end
|
||||
convStore->>convStore: triggerDownload(JSON blob)
|
||||
deactivate convStore
|
||||
|
||||
UI->>convStore: importConversations(file)
|
||||
activate convStore
|
||||
convStore->>convStore: Parse JSON file
|
||||
convStore->>convStore: importConversationsData(parsed)
|
||||
convStore->>DbSvc: importConversations(parsed)
|
||||
Note right of DbSvc: Skips duplicate conversations<br/>(checks existing by ID)
|
||||
DbSvc->>IDB: INSERT conversations + messages (skip existing)
|
||||
convStore->>convStore: loadConversations()
|
||||
deactivate convStore
|
||||
```
|
||||
@@ -1,45 +0,0 @@
|
||||
```mermaid
|
||||
%% MODEL Mode Data Flow (single model)
|
||||
%% Detailed flows: ./flows/server-flow.mmd, ./flows/models-flow.mmd, ./flows/chat-flow.mmd
|
||||
|
||||
sequenceDiagram
|
||||
participant User as 👤 User
|
||||
participant UI as 🧩 UI
|
||||
participant Stores as 🗄️ Stores
|
||||
participant DB as 💾 IndexedDB
|
||||
participant API as 🌐 llama-server
|
||||
|
||||
Note over User,API: 🚀 Initialization (see: server-flow.mmd, models-flow.mmd)
|
||||
|
||||
UI->>Stores: initialize()
|
||||
Stores->>DB: load conversations
|
||||
Stores->>API: GET /props
|
||||
API-->>Stores: server config + modalities
|
||||
Stores->>API: GET /v1/models
|
||||
API-->>Stores: single model (auto-selected)
|
||||
|
||||
Note over User,API: 💬 Chat Flow (see: chat-flow.mmd)
|
||||
|
||||
User->>UI: send message
|
||||
UI->>Stores: sendMessage()
|
||||
Stores->>DB: save user message
|
||||
Stores->>API: POST /v1/chat/completions (stream)
|
||||
loop streaming
|
||||
API-->>Stores: SSE chunks
|
||||
Stores-->>UI: reactive update
|
||||
end
|
||||
API-->>Stores: done + timings
|
||||
Stores->>DB: save assistant message
|
||||
|
||||
Note over User,API: 🔁 Regenerate
|
||||
|
||||
User->>UI: regenerate
|
||||
Stores->>DB: create message branch
|
||||
Note right of Stores: same streaming flow
|
||||
|
||||
Note over User,API: ⏹️ Stop
|
||||
|
||||
User->>UI: stop
|
||||
Stores->>Stores: abort stream
|
||||
Stores->>DB: save partial response
|
||||
```
|
||||
@@ -1,77 +0,0 @@
|
||||
```mermaid
|
||||
%% ROUTER Mode Data Flow (multi-model)
|
||||
%% Detailed flows: ./flows/server-flow.mmd, ./flows/models-flow.mmd, ./flows/chat-flow.mmd
|
||||
|
||||
sequenceDiagram
|
||||
participant User as 👤 User
|
||||
participant UI as 🧩 UI
|
||||
participant Stores as 🗄️ Stores
|
||||
participant DB as 💾 IndexedDB
|
||||
participant API as 🌐 llama-server
|
||||
|
||||
Note over User,API: 🚀 Initialization (see: server-flow.mmd, models-flow.mmd)
|
||||
|
||||
UI->>Stores: initialize()
|
||||
Stores->>DB: load conversations
|
||||
Stores->>API: GET /props
|
||||
API-->>Stores: {role: "router"}
|
||||
Stores->>API: GET /v1/models
|
||||
API-->>Stores: models[] with status (loaded/available)
|
||||
loop each loaded model
|
||||
Stores->>API: GET /props?model=X
|
||||
API-->>Stores: modalities (vision/audio)
|
||||
end
|
||||
|
||||
Note over User,API: 🔄 Model Selection (see: models-flow.mmd)
|
||||
|
||||
User->>UI: select model
|
||||
alt model not loaded
|
||||
Stores->>API: POST /models/load
|
||||
loop poll status
|
||||
Stores->>API: GET /v1/models
|
||||
API-->>Stores: check if loaded
|
||||
end
|
||||
Stores->>API: GET /props?model=X
|
||||
API-->>Stores: cache modalities
|
||||
end
|
||||
Stores->>Stores: validate modalities vs conversation
|
||||
alt valid
|
||||
Stores->>Stores: select model
|
||||
else invalid
|
||||
Stores->>API: POST /models/unload
|
||||
UI->>User: show error toast
|
||||
end
|
||||
|
||||
Note over User,API: 💬 Chat Flow (see: chat-flow.mmd)
|
||||
|
||||
User->>UI: send message
|
||||
UI->>Stores: sendMessage()
|
||||
Stores->>DB: save user message
|
||||
Stores->>API: POST /v1/chat/completions {model: X}
|
||||
Note right of API: router forwards to model
|
||||
loop streaming
|
||||
API-->>Stores: SSE chunks + model info
|
||||
Stores-->>UI: reactive update
|
||||
end
|
||||
API-->>Stores: done + timings
|
||||
Stores->>DB: save assistant message + model used
|
||||
|
||||
Note over User,API: 🔁 Regenerate (optional: different model)
|
||||
|
||||
User->>UI: regenerate
|
||||
Stores->>Stores: validate modalities up to this message
|
||||
Stores->>DB: create message branch
|
||||
Note right of Stores: same streaming flow
|
||||
|
||||
Note over User,API: ⏹️ Stop
|
||||
|
||||
User->>UI: stop
|
||||
Stores->>Stores: abort stream
|
||||
Stores->>DB: save partial response
|
||||
|
||||
Note over User,API: 🗑️ LRU Unloading
|
||||
|
||||
Note right of API: Server auto-unloads LRU models<br/>when cache full
|
||||
User->>UI: select unloaded model
|
||||
Note right of Stores: triggers load flow again
|
||||
```
|
||||
@@ -1,174 +0,0 @@
|
||||
```mermaid
|
||||
sequenceDiagram
|
||||
participant Store as 🗄️ Stores
|
||||
participant DbSvc as ⚙️ DatabaseService
|
||||
participant Dexie as 📦 Dexie ORM
|
||||
participant IDB as 💾 IndexedDB
|
||||
|
||||
Note over DbSvc: Stateless service - all methods static<br/>Database: "LlamacppWebui"
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over Store,IDB: 📊 SCHEMA
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
rect rgb(240, 248, 255)
|
||||
Note over IDB: conversations table:<br/>id (PK), lastModified, currNode, name
|
||||
end
|
||||
|
||||
rect rgb(255, 248, 240)
|
||||
Note over IDB: messages table:<br/>id (PK), convId (FK), type, role, timestamp,<br/>parent, children[], content, thinking,<br/>toolCalls, extra[], model, timings
|
||||
end
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over Store,IDB: 💬 CONVERSATIONS CRUD
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Store->>DbSvc: createConversation(name)
|
||||
activate DbSvc
|
||||
DbSvc->>DbSvc: Generate UUID
|
||||
DbSvc->>Dexie: db.conversations.add({id, name, lastModified, currNode: ""})
|
||||
Dexie->>IDB: INSERT
|
||||
IDB-->>Dexie: success
|
||||
DbSvc-->>Store: DatabaseConversation
|
||||
deactivate DbSvc
|
||||
|
||||
Store->>DbSvc: getConversation(convId)
|
||||
DbSvc->>Dexie: db.conversations.get(convId)
|
||||
Dexie->>IDB: SELECT WHERE id = ?
|
||||
IDB-->>DbSvc: DatabaseConversation
|
||||
|
||||
Store->>DbSvc: getAllConversations()
|
||||
DbSvc->>Dexie: db.conversations.orderBy('lastModified').reverse().toArray()
|
||||
Dexie->>IDB: SELECT ORDER BY lastModified DESC
|
||||
IDB-->>DbSvc: DatabaseConversation[]
|
||||
|
||||
Store->>DbSvc: updateConversation(convId, updates)
|
||||
DbSvc->>Dexie: db.conversations.update(convId, {...updates, lastModified})
|
||||
Dexie->>IDB: UPDATE
|
||||
|
||||
Store->>DbSvc: deleteConversation(convId)
|
||||
activate DbSvc
|
||||
DbSvc->>Dexie: db.conversations.delete(convId)
|
||||
Dexie->>IDB: DELETE FROM conversations
|
||||
DbSvc->>Dexie: db.messages.where('convId').equals(convId).delete()
|
||||
Dexie->>IDB: DELETE FROM messages WHERE convId = ?
|
||||
deactivate DbSvc
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over Store,IDB: 📝 MESSAGES CRUD
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Store->>DbSvc: createRootMessage(convId)
|
||||
activate DbSvc
|
||||
DbSvc->>DbSvc: Create root message {type: "root", parent: null}
|
||||
DbSvc->>Dexie: db.messages.add(rootMsg)
|
||||
Dexie->>IDB: INSERT
|
||||
DbSvc-->>Store: rootMessageId
|
||||
deactivate DbSvc
|
||||
|
||||
Store->>DbSvc: createSystemMessage(convId, content, parentId)
|
||||
activate DbSvc
|
||||
DbSvc->>DbSvc: Create message {role: "system", parent: parentId}
|
||||
DbSvc->>Dexie: db.messages.add(systemMsg)
|
||||
Dexie->>IDB: INSERT
|
||||
DbSvc-->>Store: DatabaseMessage
|
||||
deactivate DbSvc
|
||||
|
||||
Store->>DbSvc: createMessageBranch(message, parentId)
|
||||
activate DbSvc
|
||||
DbSvc->>DbSvc: Generate UUID for new message
|
||||
DbSvc->>Dexie: db.messages.add({...message, id, parent: parentId})
|
||||
Dexie->>IDB: INSERT message
|
||||
|
||||
alt parentId exists
|
||||
DbSvc->>Dexie: db.messages.get(parentId)
|
||||
Dexie->>IDB: SELECT parent
|
||||
DbSvc->>DbSvc: parent.children.push(newId)
|
||||
DbSvc->>Dexie: db.messages.update(parentId, {children})
|
||||
Dexie->>IDB: UPDATE parent.children
|
||||
end
|
||||
|
||||
DbSvc->>Dexie: db.conversations.update(convId, {currNode: newId})
|
||||
Dexie->>IDB: UPDATE conversation.currNode
|
||||
DbSvc-->>Store: DatabaseMessage
|
||||
deactivate DbSvc
|
||||
|
||||
Store->>DbSvc: getConversationMessages(convId)
|
||||
DbSvc->>Dexie: db.messages.where('convId').equals(convId).toArray()
|
||||
Dexie->>IDB: SELECT WHERE convId = ?
|
||||
IDB-->>DbSvc: DatabaseMessage[]
|
||||
|
||||
Store->>DbSvc: updateMessage(msgId, updates)
|
||||
DbSvc->>Dexie: db.messages.update(msgId, updates)
|
||||
Dexie->>IDB: UPDATE
|
||||
|
||||
Store->>DbSvc: deleteMessage(msgId)
|
||||
DbSvc->>Dexie: db.messages.delete(msgId)
|
||||
Dexie->>IDB: DELETE
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over Store,IDB: 🌳 BRANCHING OPERATIONS
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Store->>DbSvc: updateCurrentNode(convId, nodeId)
|
||||
DbSvc->>Dexie: db.conversations.update(convId, {currNode: nodeId, lastModified})
|
||||
Dexie->>IDB: UPDATE
|
||||
|
||||
Store->>DbSvc: deleteMessageCascading(msgId)
|
||||
activate DbSvc
|
||||
DbSvc->>DbSvc: findDescendantMessages(msgId, allMessages)
|
||||
Note right of DbSvc: Recursively find all children
|
||||
loop each descendant
|
||||
DbSvc->>Dexie: db.messages.delete(descendantId)
|
||||
Dexie->>IDB: DELETE
|
||||
end
|
||||
DbSvc->>Dexie: db.messages.delete(msgId)
|
||||
Dexie->>IDB: DELETE target message
|
||||
|
||||
alt target message has a parent
|
||||
DbSvc->>Dexie: db.messages.get(parentId)
|
||||
DbSvc->>DbSvc: parent.children.filter(id !== msgId)
|
||||
DbSvc->>Dexie: db.messages.update(parentId, {children})
|
||||
Note right of DbSvc: Remove deleted message from parent's children[]
|
||||
end
|
||||
deactivate DbSvc
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over Store,IDB: 📥 IMPORT
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Store->>DbSvc: importConversations(data)
|
||||
activate DbSvc
|
||||
loop each conversation in data
|
||||
DbSvc->>Dexie: db.conversations.get(conv.id)
|
||||
alt conversation already exists
|
||||
Note right of DbSvc: Skip duplicate (keep existing)
|
||||
else conversation is new
|
||||
DbSvc->>Dexie: db.conversations.add(conversation)
|
||||
Dexie->>IDB: INSERT conversation
|
||||
loop each message
|
||||
DbSvc->>Dexie: db.messages.add(message)
|
||||
Dexie->>IDB: INSERT message
|
||||
end
|
||||
end
|
||||
end
|
||||
deactivate DbSvc
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over Store,IDB: 🔗 MESSAGE TREE UTILITIES
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over DbSvc: Used by stores (imported from utils):
|
||||
|
||||
rect rgb(240, 255, 240)
|
||||
Note over DbSvc: filterByLeafNodeId(messages, leafId)<br/>→ Returns path from root to leaf<br/>→ Used to display current branch
|
||||
end
|
||||
|
||||
rect rgb(240, 255, 240)
|
||||
Note over DbSvc: findLeafNode(startId, messages)<br/>→ Traverse to deepest child<br/>→ Used for branch navigation
|
||||
end
|
||||
|
||||
rect rgb(240, 255, 240)
|
||||
Note over DbSvc: findDescendantMessages(msgId, messages)<br/>→ Find all children recursively<br/>→ Used for cascading deletes
|
||||
end
|
||||
```
|
||||
@@ -1,226 +0,0 @@
|
||||
```mermaid
|
||||
sequenceDiagram
|
||||
participant UI as 🧩 McpServersSettings / ChatForm
|
||||
participant chatStore as 🗄️ chatStore
|
||||
participant mcpStore as 🗄️ mcpStore
|
||||
participant mcpResStore as 🗄️ mcpResourceStore
|
||||
participant convStore as 🗄️ conversationsStore
|
||||
participant MCPSvc as ⚙️ MCPService
|
||||
participant LS as 💾 LocalStorage
|
||||
participant ExtMCP as 🔌 External MCP Server
|
||||
|
||||
Note over mcpStore: State:<br/>isInitializing, error<br/>toolCount, connectedServers<br/>healthChecks (Map)<br/>connections (Map)<br/>toolsIndex (Map)<br/>serverConfigs (Map)
|
||||
|
||||
Note over mcpResStore: State:<br/>serverResources (Map)<br/>cachedResources (Map)<br/>subscriptions (Map)<br/>attachments[]
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,ExtMCP: 🚀 INITIALIZATION (App Startup)
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>mcpStore: ensureInitialized()
|
||||
activate mcpStore
|
||||
|
||||
mcpStore->>LS: get(MCP_SERVERS_LOCALSTORAGE_KEY)
|
||||
LS-->>mcpStore: MCPServerSettingsEntry[]
|
||||
|
||||
mcpStore->>mcpStore: parseServerSettings(servers)
|
||||
Note right of mcpStore: Filter enabled servers<br/>Build MCPServerConfig objects<br/>Per-chat overrides checked via convStore
|
||||
|
||||
loop For each enabled server
|
||||
mcpStore->>mcpStore: runHealthCheck(serverId)
|
||||
mcpStore->>mcpStore: updateHealthCheck(id, CONNECTING)
|
||||
|
||||
mcpStore->>MCPSvc: connect(serverName, config, clientInfo, capabilities, onPhase)
|
||||
activate MCPSvc
|
||||
|
||||
MCPSvc->>MCPSvc: createTransport(config)
|
||||
Note right of MCPSvc: WebSocket / StreamableHTTP / SSE<br/>with optional CORS proxy
|
||||
|
||||
MCPSvc->>ExtMCP: Transport handshake
|
||||
ExtMCP-->>MCPSvc: Connection established
|
||||
|
||||
MCPSvc->>ExtMCP: Initialize request
|
||||
Note right of ExtMCP: Exchange capabilities<br/>Server info, protocol version
|
||||
|
||||
ExtMCP-->>MCPSvc: InitializeResult (serverInfo, capabilities)
|
||||
|
||||
MCPSvc->>ExtMCP: listTools()
|
||||
ExtMCP-->>MCPSvc: Tool[]
|
||||
|
||||
MCPSvc-->>mcpStore: MCPConnection
|
||||
deactivate MCPSvc
|
||||
|
||||
mcpStore->>mcpStore: connections.set(serverName, connection)
|
||||
mcpStore->>mcpStore: indexTools(connection.tools, serverName)
|
||||
Note right of mcpStore: toolsIndex.set(toolName, serverName)<br/>Handle name conflicts with prefixes
|
||||
|
||||
mcpStore->>mcpStore: updateHealthCheck(id, SUCCESS)
|
||||
mcpStore->>mcpStore: _connectedServers.push(serverName)
|
||||
|
||||
alt Server supports resources
|
||||
mcpStore->>MCPSvc: listAllResources(connection)
|
||||
MCPSvc->>ExtMCP: listResources()
|
||||
ExtMCP-->>MCPSvc: MCPResource[]
|
||||
MCPSvc-->>mcpStore: resources
|
||||
|
||||
mcpStore->>MCPSvc: listAllResourceTemplates(connection)
|
||||
MCPSvc->>ExtMCP: listResourceTemplates()
|
||||
ExtMCP-->>MCPSvc: MCPResourceTemplate[]
|
||||
MCPSvc-->>mcpStore: templates
|
||||
|
||||
mcpStore->>mcpResStore: setServerResources(serverName, resources, templates)
|
||||
end
|
||||
end
|
||||
|
||||
mcpStore->>mcpStore: _isInitializing = false
|
||||
deactivate mcpStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,ExtMCP: 🔧 TOOL EXECUTION (Chat with Tools)
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>mcpStore: executeTool(mcpCall: MCPToolCall, signal?)
|
||||
activate mcpStore
|
||||
|
||||
mcpStore->>mcpStore: toolsIndex.get(mcpCall.function.name)
|
||||
Note right of mcpStore: Resolve serverName from toolsIndex<br/>MCPToolCall = {id, type, function: {name, arguments}}
|
||||
|
||||
mcpStore->>mcpStore: acquireConnection()
|
||||
Note right of mcpStore: activeFlowCount++<br/>Prevent shutdown during execution
|
||||
|
||||
mcpStore->>mcpStore: connection = connections.get(serverName)
|
||||
|
||||
mcpStore->>MCPSvc: callTool(connection, {name, arguments}, signal)
|
||||
activate MCPSvc
|
||||
|
||||
MCPSvc->>MCPSvc: throwIfAborted(signal)
|
||||
MCPSvc->>ExtMCP: callTool(name, arguments)
|
||||
|
||||
alt Tool execution success
|
||||
ExtMCP-->>MCPSvc: ToolCallResult (content, isError)
|
||||
MCPSvc->>MCPSvc: formatToolResult(result)
|
||||
Note right of MCPSvc: Handle text, image (base64),<br/>embedded resource content
|
||||
MCPSvc-->>mcpStore: ToolExecutionResult
|
||||
else Tool execution error
|
||||
ExtMCP-->>MCPSvc: Error
|
||||
MCPSvc-->>mcpStore: throw Error
|
||||
else Aborted
|
||||
MCPSvc-->>mcpStore: throw AbortError
|
||||
end
|
||||
|
||||
deactivate MCPSvc
|
||||
|
||||
mcpStore->>mcpStore: releaseConnection()
|
||||
Note right of mcpStore: activeFlowCount--
|
||||
|
||||
mcpStore-->>UI: ToolExecutionResult
|
||||
deactivate mcpStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,ExtMCP: � RESOURCE ATTACHMENT CONSUMPTION
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
chatStore->>mcpStore: consumeResourceAttachmentsAsExtras()
|
||||
activate mcpStore
|
||||
mcpStore->>mcpResStore: getAttachments()
|
||||
mcpResStore-->>mcpStore: MCPResourceAttachment[]
|
||||
mcpStore->>mcpStore: Convert attachments to message extras
|
||||
mcpStore->>mcpResStore: clearAttachments()
|
||||
mcpStore-->>chatStore: MessageExtra[] (for user message)
|
||||
deactivate mcpStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,ExtMCP: �📝 PROMPT OPERATIONS
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>mcpStore: getAllPrompts()
|
||||
activate mcpStore
|
||||
|
||||
loop For each connected server with prompts capability
|
||||
mcpStore->>MCPSvc: listPrompts(connection)
|
||||
MCPSvc->>ExtMCP: listPrompts()
|
||||
ExtMCP-->>MCPSvc: Prompt[]
|
||||
MCPSvc-->>mcpStore: prompts
|
||||
end
|
||||
|
||||
mcpStore-->>UI: MCPPromptInfo[] (with serverName)
|
||||
deactivate mcpStore
|
||||
|
||||
UI->>mcpStore: getPrompt(serverName, promptName, args?)
|
||||
activate mcpStore
|
||||
|
||||
mcpStore->>MCPSvc: getPrompt(connection, name, args)
|
||||
MCPSvc->>ExtMCP: getPrompt({name, arguments})
|
||||
ExtMCP-->>MCPSvc: GetPromptResult (messages)
|
||||
MCPSvc-->>mcpStore: GetPromptResult
|
||||
|
||||
mcpStore-->>UI: GetPromptResult
|
||||
deactivate mcpStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,ExtMCP: 📁 RESOURCE OPERATIONS
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>mcpResStore: addAttachment(resourceInfo)
|
||||
activate mcpResStore
|
||||
mcpResStore->>mcpResStore: Create MCPResourceAttachment (loading: true)
|
||||
mcpResStore-->>UI: attachment
|
||||
|
||||
UI->>mcpStore: readResource(serverName, uri)
|
||||
activate mcpStore
|
||||
|
||||
mcpStore->>MCPSvc: readResource(connection, uri)
|
||||
MCPSvc->>ExtMCP: readResource({uri})
|
||||
ExtMCP-->>MCPSvc: MCPReadResourceResult (contents)
|
||||
MCPSvc-->>mcpStore: contents
|
||||
|
||||
mcpStore-->>UI: MCPResourceContent[]
|
||||
deactivate mcpStore
|
||||
|
||||
UI->>mcpResStore: updateAttachmentContent(attachmentId, content)
|
||||
mcpResStore->>mcpResStore: cacheResourceContent(resource, content)
|
||||
deactivate mcpResStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,ExtMCP: 🔄 AUTO-RECONNECTION
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over mcpStore: On WebSocket close or connection error:
|
||||
mcpStore->>mcpStore: autoReconnect(serverName, attempt)
|
||||
activate mcpStore
|
||||
|
||||
mcpStore->>mcpStore: Calculate backoff delay
|
||||
Note right of mcpStore: delay = min(30s, 1s * 2^attempt)
|
||||
|
||||
mcpStore->>mcpStore: Wait for delay
|
||||
mcpStore->>mcpStore: reconnectServer(serverName)
|
||||
|
||||
alt Reconnection success
|
||||
mcpStore->>mcpStore: updateHealthCheck(id, SUCCESS)
|
||||
else Max attempts reached
|
||||
mcpStore->>mcpStore: updateHealthCheck(id, ERROR)
|
||||
end
|
||||
deactivate mcpStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,ExtMCP: 🛑 SHUTDOWN
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>mcpStore: shutdown()
|
||||
activate mcpStore
|
||||
|
||||
mcpStore->>mcpStore: Wait for activeFlowCount == 0
|
||||
|
||||
loop For each connection
|
||||
mcpStore->>MCPSvc: disconnect(connection)
|
||||
MCPSvc->>MCPSvc: transport.onclose = undefined
|
||||
MCPSvc->>ExtMCP: close()
|
||||
end
|
||||
|
||||
mcpStore->>mcpStore: connections.clear()
|
||||
mcpStore->>mcpStore: toolsIndex.clear()
|
||||
mcpStore->>mcpStore: _connectedServers = []
|
||||
|
||||
mcpStore->>mcpResStore: clear()
|
||||
deactivate mcpStore
|
||||
```
|
||||
@@ -1,181 +0,0 @@
|
||||
```mermaid
|
||||
sequenceDiagram
|
||||
participant UI as 🧩 ModelsSelector
|
||||
participant Hooks as 🪝 useModelChangeValidation
|
||||
participant modelsStore as 🗄️ modelsStore
|
||||
participant serverStore as 🗄️ serverStore
|
||||
participant convStore as 🗄️ conversationsStore
|
||||
participant ModelsSvc as ⚙️ ModelsService
|
||||
participant PropsSvc as ⚙️ PropsService
|
||||
participant API as 🌐 llama-server
|
||||
|
||||
Note over modelsStore: State:<br/>models: ModelOption[]<br/>routerModels: ApiModelDataEntry[]<br/>selectedModelId, selectedModelName<br/>loading, updating, error<br/>modelLoadingStates (Map)<br/>modelPropsCache (Map)<br/>propsCacheVersion
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: 🚀 INITIALIZATION (MODEL mode)
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>modelsStore: fetch()
|
||||
activate modelsStore
|
||||
modelsStore->>modelsStore: loading = true
|
||||
|
||||
alt serverStore.props not loaded
|
||||
modelsStore->>serverStore: fetch()
|
||||
Note over serverStore: → see server-flow.mmd
|
||||
end
|
||||
|
||||
modelsStore->>ModelsSvc: list()
|
||||
ModelsSvc->>API: GET /v1/models
|
||||
API-->>ModelsSvc: ApiModelListResponse {data: [model]}
|
||||
|
||||
modelsStore->>modelsStore: models = $state(mapped)
|
||||
Note right of modelsStore: Map to ModelOption[]:<br/>{id, name, model, description, capabilities}
|
||||
|
||||
Note over modelsStore: MODEL mode: Get modalities from serverStore.props
|
||||
modelsStore->>modelsStore: modelPropsCache.set(model.id, serverStore.props)
|
||||
modelsStore->>modelsStore: models[0].modalities = props.modalities
|
||||
|
||||
modelsStore->>modelsStore: Auto-select single model
|
||||
Note right of modelsStore: selectedModelId = models[0].id
|
||||
modelsStore->>modelsStore: loading = false
|
||||
deactivate modelsStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: 🚀 INITIALIZATION (ROUTER mode)
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>modelsStore: fetch()
|
||||
activate modelsStore
|
||||
modelsStore->>ModelsSvc: list()
|
||||
ModelsSvc->>API: GET /v1/models
|
||||
API-->>ModelsSvc: ApiModelListResponse
|
||||
modelsStore->>modelsStore: models = $state(mapped)
|
||||
deactivate modelsStore
|
||||
|
||||
Note over UI: After models loaded, layout triggers:
|
||||
UI->>modelsStore: fetchRouterModels()
|
||||
activate modelsStore
|
||||
modelsStore->>ModelsSvc: listRouter()
|
||||
ModelsSvc->>API: GET /v1/models
|
||||
API-->>ModelsSvc: ApiRouterModelsListResponse
|
||||
Note right of API: {data: [{id, status, path, in_cache}]}
|
||||
modelsStore->>modelsStore: routerModels = $state(data)
|
||||
|
||||
modelsStore->>modelsStore: fetchModalitiesForLoadedModels()
|
||||
loop each model where status === "loaded"
|
||||
modelsStore->>PropsSvc: fetchForModel(modelId)
|
||||
PropsSvc->>API: GET /props?model={modelId}
|
||||
API-->>PropsSvc: ApiLlamaCppServerProps
|
||||
modelsStore->>modelsStore: modelPropsCache.set(modelId, props)
|
||||
end
|
||||
modelsStore->>modelsStore: propsCacheVersion++
|
||||
deactivate modelsStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: 🔄 MODEL SELECTION (ROUTER mode)
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>Hooks: useModelChangeValidation({getRequiredModalities, onSuccess?, onValidationFailure?})
|
||||
Note over Hooks: Hook configured per-component:<br/>ChatForm: getRequiredModalities = usedModalities<br/>ChatMessage: getRequiredModalities = getModalitiesUpToMessage(msgId)
|
||||
|
||||
UI->>Hooks: handleModelChange(modelId, modelName)
|
||||
activate Hooks
|
||||
Hooks->>Hooks: previousSelectedModelId = modelsStore.selectedModelId
|
||||
Hooks->>modelsStore: isModelLoaded(modelName)?
|
||||
|
||||
alt model NOT loaded
|
||||
Hooks->>modelsStore: loadModel(modelName)
|
||||
Note over modelsStore: → see LOAD MODEL section below
|
||||
end
|
||||
|
||||
Note over Hooks: Always fetch props (from cache or API)
|
||||
Hooks->>modelsStore: fetchModelProps(modelName)
|
||||
modelsStore-->>Hooks: props
|
||||
|
||||
Hooks->>convStore: getRequiredModalities()
|
||||
convStore-->>Hooks: {vision, audio}
|
||||
|
||||
Hooks->>Hooks: Validate: model.modalities ⊇ required?
|
||||
|
||||
alt validation PASSED
|
||||
Hooks->>modelsStore: selectModelById(modelId)
|
||||
Hooks-->>UI: return true
|
||||
else validation FAILED
|
||||
Hooks->>UI: toast.error("Model doesn't support required modalities")
|
||||
alt model was just loaded
|
||||
Hooks->>modelsStore: unloadModel(modelName)
|
||||
end
|
||||
alt onValidationFailure provided
|
||||
Hooks->>modelsStore: selectModelById(previousSelectedModelId)
|
||||
end
|
||||
Hooks-->>UI: return false
|
||||
end
|
||||
deactivate Hooks
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: ⬆️ LOAD MODEL (ROUTER mode)
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
modelsStore->>modelsStore: loadModel(modelId)
|
||||
activate modelsStore
|
||||
|
||||
alt already loaded
|
||||
modelsStore-->>modelsStore: return (no-op)
|
||||
end
|
||||
|
||||
modelsStore->>modelsStore: modelLoadingStates.set(modelId, true)
|
||||
modelsStore->>ModelsSvc: load(modelId)
|
||||
ModelsSvc->>API: POST /models/load {model: modelId}
|
||||
API-->>ModelsSvc: {status: "loading"}
|
||||
|
||||
modelsStore->>modelsStore: pollForModelStatus(modelId, LOADED)
|
||||
loop poll every 500ms (max 60 attempts)
|
||||
modelsStore->>modelsStore: fetchRouterModels()
|
||||
modelsStore->>ModelsSvc: listRouter()
|
||||
ModelsSvc->>API: GET /v1/models
|
||||
API-->>ModelsSvc: models[]
|
||||
modelsStore->>modelsStore: getModelStatus(modelId)
|
||||
alt status === LOADED
|
||||
Note right of modelsStore: break loop
|
||||
else status === LOADING
|
||||
Note right of modelsStore: wait 500ms, continue
|
||||
end
|
||||
end
|
||||
|
||||
modelsStore->>modelsStore: updateModelModalities(modelId)
|
||||
modelsStore->>PropsSvc: fetchForModel(modelId)
|
||||
PropsSvc->>API: GET /props?model={modelId}
|
||||
API-->>PropsSvc: props with modalities
|
||||
modelsStore->>modelsStore: modelPropsCache.set(modelId, props)
|
||||
modelsStore->>modelsStore: propsCacheVersion++
|
||||
|
||||
modelsStore->>modelsStore: modelLoadingStates.set(modelId, false)
|
||||
deactivate modelsStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: ⬇️ UNLOAD MODEL (ROUTER mode)
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
modelsStore->>modelsStore: unloadModel(modelId)
|
||||
activate modelsStore
|
||||
modelsStore->>modelsStore: modelLoadingStates.set(modelId, true)
|
||||
modelsStore->>ModelsSvc: unload(modelId)
|
||||
ModelsSvc->>API: POST /models/unload {model: modelId}
|
||||
|
||||
modelsStore->>modelsStore: pollForModelStatus(modelId, UNLOADED)
|
||||
loop poll until unloaded
|
||||
modelsStore->>ModelsSvc: listRouter()
|
||||
ModelsSvc->>API: GET /v1/models
|
||||
end
|
||||
|
||||
modelsStore->>modelsStore: modelLoadingStates.set(modelId, false)
|
||||
deactivate modelsStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: 📊 COMPUTED GETTERS
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over modelsStore: Getters:<br/>- selectedModel: ModelOption | null<br/>- loadedModelIds: string[] (from routerModels)<br/>- loadingModelIds: string[] (from modelLoadingStates)<br/>- singleModelName: string | null (MODEL mode only)
|
||||
|
||||
Note over modelsStore: Modality helpers:<br/>- getModelModalities(modelId): {vision, audio}<br/>- modelSupportsVision(modelId): boolean<br/>- modelSupportsAudio(modelId): boolean
|
||||
```
|
||||
@@ -1,76 +0,0 @@
|
||||
```mermaid
|
||||
sequenceDiagram
|
||||
participant UI as 🧩 +layout.svelte
|
||||
participant serverStore as 🗄️ serverStore
|
||||
participant PropsSvc as ⚙️ PropsService
|
||||
participant API as 🌐 llama-server
|
||||
|
||||
Note over serverStore: State:<br/>props: ApiLlamaCppServerProps | null<br/>loading, error<br/>role: ServerRole | null (MODEL | ROUTER)<br/>fetchPromise (deduplication)
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: 🚀 INITIALIZATION
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>serverStore: fetch()
|
||||
activate serverStore
|
||||
|
||||
alt fetchPromise exists (already fetching)
|
||||
serverStore-->>UI: return fetchPromise
|
||||
Note right of serverStore: Deduplicate concurrent calls
|
||||
end
|
||||
|
||||
serverStore->>serverStore: loading = true
|
||||
serverStore->>serverStore: fetchPromise = new Promise()
|
||||
|
||||
serverStore->>PropsSvc: fetch()
|
||||
PropsSvc->>API: GET /props
|
||||
API-->>PropsSvc: ApiLlamaCppServerProps
|
||||
Note right of API: {role, model_path, model_alias,<br/>modalities, default_generation_settings, ...}
|
||||
|
||||
PropsSvc-->>serverStore: props
|
||||
serverStore->>serverStore: props = $state(data)
|
||||
|
||||
serverStore->>serverStore: detectRole(props)
|
||||
Note right of serverStore: role = props.role === "router"<br/> ? ServerRole.ROUTER<br/> : ServerRole.MODEL
|
||||
|
||||
serverStore->>serverStore: loading = false
|
||||
serverStore->>serverStore: fetchPromise = null
|
||||
deactivate serverStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: 📊 COMPUTED GETTERS
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over serverStore: Getters from props:
|
||||
|
||||
rect rgb(240, 255, 240)
|
||||
Note over serverStore: defaultParams<br/>→ props.default_generation_settings.params<br/>(temperature, top_p, top_k, etc.)
|
||||
end
|
||||
|
||||
rect rgb(240, 255, 240)
|
||||
Note over serverStore: contextSize<br/>→ props.default_generation_settings.n_ctx
|
||||
end
|
||||
|
||||
rect rgb(255, 240, 240)
|
||||
Note over serverStore: isRouterMode<br/>→ role === ServerRole.ROUTER
|
||||
end
|
||||
|
||||
rect rgb(255, 240, 240)
|
||||
Note over serverStore: isModelMode<br/>→ role === ServerRole.MODEL
|
||||
end
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: 🔗 RELATIONSHIPS
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over serverStore: Used by:
|
||||
Note right of serverStore: - modelsStore: role detection, MODEL mode modalities<br/>- settingsStore: syncWithServerDefaults (defaultParams)<br/>- chatStore: contextSize for processing state<br/>- UI components: isRouterMode for conditional rendering
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,API: ❌ ERROR HANDLING
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over serverStore: getErrorMessage(): string | null<br/>Returns formatted error for UI display
|
||||
|
||||
Note over serverStore: clear(): void<br/>Resets all state (props, error, loading, role)
|
||||
```
|
||||
@@ -1,156 +0,0 @@
|
||||
```mermaid
|
||||
sequenceDiagram
|
||||
participant UI as 🧩 ChatSettings
|
||||
participant settingsStore as 🗄️ settingsStore
|
||||
participant serverStore as 🗄️ serverStore
|
||||
participant ParamSvc as ⚙️ ParameterSyncService
|
||||
participant LS as 💾 LocalStorage
|
||||
|
||||
Note over settingsStore: State:<br/>config: SettingsConfigType<br/>theme: string ("auto" | "light" | "dark")<br/>isInitialized: boolean<br/>userOverrides: Set<string>
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,LS: 🚀 INITIALIZATION
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over settingsStore: Auto-initialized in constructor (browser only)
|
||||
settingsStore->>settingsStore: initialize()
|
||||
activate settingsStore
|
||||
|
||||
settingsStore->>settingsStore: loadConfig()
|
||||
settingsStore->>LS: get("llama-config")
|
||||
LS-->>settingsStore: StoredConfig | null
|
||||
|
||||
alt config exists
|
||||
settingsStore->>settingsStore: Merge with SETTING_CONFIG_DEFAULT
|
||||
Note right of settingsStore: Fill missing keys with defaults
|
||||
else no config
|
||||
settingsStore->>settingsStore: config = SETTING_CONFIG_DEFAULT
|
||||
end
|
||||
|
||||
settingsStore->>LS: get("llama-userOverrides")
|
||||
LS-->>settingsStore: string[] | null
|
||||
settingsStore->>settingsStore: userOverrides = new Set(data)
|
||||
|
||||
settingsStore->>settingsStore: loadTheme()
|
||||
settingsStore->>LS: get("llama-theme")
|
||||
LS-->>settingsStore: theme | "auto"
|
||||
|
||||
settingsStore->>settingsStore: isInitialized = true
|
||||
deactivate settingsStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,LS: 🔄 SYNC WITH SERVER DEFAULTS
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over UI: Triggered from +layout.svelte when serverStore.props loaded
|
||||
UI->>settingsStore: syncWithServerDefaults()
|
||||
activate settingsStore
|
||||
|
||||
settingsStore->>serverStore: defaultParams
|
||||
serverStore-->>settingsStore: {temperature, top_p, top_k, ...}
|
||||
|
||||
loop each SYNCABLE_PARAMETER
|
||||
alt key NOT in userOverrides
|
||||
settingsStore->>settingsStore: config[key] = serverDefault[key]
|
||||
Note right of settingsStore: Non-overridden params adopt server default
|
||||
else key in userOverrides
|
||||
Note right of settingsStore: Keep user value, skip server default
|
||||
end
|
||||
end
|
||||
|
||||
alt serverStore.props has uiSettings
|
||||
settingsStore->>settingsStore: Apply uiSettings from server
|
||||
Note right of settingsStore: Server-provided UI settings<br/>(e.g. showRawOutputSwitch)
|
||||
end
|
||||
|
||||
settingsStore->>settingsStore: saveConfig()
|
||||
deactivate settingsStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,LS: ⚙️ UPDATE CONFIG
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>settingsStore: updateConfig(key, value)
|
||||
activate settingsStore
|
||||
settingsStore->>settingsStore: config[key] = value
|
||||
|
||||
alt value matches server default for key
|
||||
settingsStore->>settingsStore: userOverrides.delete(key)
|
||||
Note right of settingsStore: Matches server default, remove override
|
||||
else value differs from server default
|
||||
settingsStore->>settingsStore: userOverrides.add(key)
|
||||
Note right of settingsStore: Mark as user-modified (won't be overwritten)
|
||||
end
|
||||
|
||||
settingsStore->>settingsStore: saveConfig()
|
||||
settingsStore->>LS: set(CONFIG_LOCALSTORAGE_KEY, config)
|
||||
settingsStore->>LS: set(USER_OVERRIDES_LOCALSTORAGE_KEY, [...userOverrides])
|
||||
deactivate settingsStore
|
||||
|
||||
UI->>settingsStore: updateMultipleConfig({key1: val1, key2: val2})
|
||||
activate settingsStore
|
||||
Note right of settingsStore: Batch update, single save
|
||||
settingsStore->>settingsStore: For each key: config[key] = value
|
||||
settingsStore->>settingsStore: For each key: userOverrides.add(key)
|
||||
settingsStore->>settingsStore: saveConfig()
|
||||
deactivate settingsStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,LS: 🔄 RESET
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>settingsStore: resetConfig()
|
||||
activate settingsStore
|
||||
settingsStore->>settingsStore: config = {...SETTING_CONFIG_DEFAULT}
|
||||
settingsStore->>settingsStore: userOverrides.clear()
|
||||
Note right of settingsStore: All params reset to defaults<br/>Next syncWithServerDefaults will adopt server values
|
||||
settingsStore->>settingsStore: saveConfig()
|
||||
deactivate settingsStore
|
||||
|
||||
UI->>settingsStore: resetParameterToServerDefault(key)
|
||||
activate settingsStore
|
||||
settingsStore->>settingsStore: userOverrides.delete(key)
|
||||
settingsStore->>serverStore: defaultParams[key]
|
||||
settingsStore->>settingsStore: config[key] = serverDefault
|
||||
settingsStore->>settingsStore: saveConfig()
|
||||
deactivate settingsStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,LS: 🎨 THEME
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>settingsStore: updateTheme(newTheme)
|
||||
activate settingsStore
|
||||
settingsStore->>settingsStore: theme = newTheme
|
||||
settingsStore->>settingsStore: saveTheme()
|
||||
settingsStore->>LS: set("llama-theme", theme)
|
||||
deactivate settingsStore
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,LS: 📊 PARAMETER INFO
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
UI->>settingsStore: getParameterInfo(key)
|
||||
settingsStore->>ParamSvc: getParameterInfo(key, config, serverDefaults, userOverrides)
|
||||
ParamSvc-->>settingsStore: ParameterInfo
|
||||
Note right of ParamSvc: {<br/> currentValue,<br/> serverDefault,<br/> isUserOverride: boolean,<br/> canSync: boolean,<br/> isDifferentFromServer: boolean<br/>}
|
||||
|
||||
UI->>settingsStore: getParameterDiff()
|
||||
settingsStore->>ParamSvc: createParameterDiff(config, serverDefaults, userOverrides)
|
||||
ParamSvc-->>settingsStore: ParameterDiff[]
|
||||
Note right of ParamSvc: Array of parameters where user != server
|
||||
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
Note over UI,LS: 📋 CONFIG CATEGORIES
|
||||
%% ═══════════════════════════════════════════════════════════════════════════
|
||||
|
||||
Note over settingsStore: Syncable with server (from /props):
|
||||
rect rgb(240, 255, 240)
|
||||
Note over settingsStore: temperature, top_p, top_k, min_p<br/>repeat_penalty, presence_penalty, frequency_penalty<br/>dynatemp_range, dynatemp_exponent<br/>typ_p, xtc_probability, xtc_threshold<br/>dry_multiplier, dry_base, dry_allowed_length, dry_penalty_last_n
|
||||
end
|
||||
|
||||
Note over settingsStore: UI-only (not synced):
|
||||
rect rgb(255, 240, 240)
|
||||
Note over settingsStore: systemMessage, custom (JSON)<br/>showStatistics, enableContinueGeneration<br/>autoMicOnEmpty, disableAutoScroll<br/>apiKey, pdfAsImage, disableReasoningParsing, showRawOutputSwitch
|
||||
end
|
||||
```
|
||||
@@ -12,6 +12,49 @@ import { fileURLToPath } from 'node:url';
|
||||
import ts from 'typescript-eslint';
|
||||
|
||||
const gitignorePath = fileURLToPath(new URL('./.gitignore', import.meta.url));
|
||||
// Require a blank line between consecutive class accessors (get/set). The core
|
||||
// `padding-line-between-statements` rule only handles statements, not class
|
||||
// members, so this is enforced with a small custom rule.
|
||||
const blankLineBetweenAccessors = {
|
||||
create(context) {
|
||||
return {
|
||||
MethodDefinition(node) {
|
||||
if (node.kind !== 'get' && node.kind !== 'set') return;
|
||||
|
||||
const body = node.parent;
|
||||
|
||||
if (!body || body.type !== 'ClassBody') return;
|
||||
|
||||
const index = body.body.indexOf(node);
|
||||
|
||||
if (index <= 0) return;
|
||||
|
||||
const prev = body.body[index - 1];
|
||||
|
||||
if (prev.type !== 'MethodDefinition' || (prev.kind !== 'get' && prev.kind !== 'set'))
|
||||
return;
|
||||
|
||||
if (node.loc.start.line - prev.loc.end.line <= 1) {
|
||||
context.report({
|
||||
fix(fixer) {
|
||||
// Insert after the previous accessor's closing brace so the blank
|
||||
// line keeps the current accessor's indentation.
|
||||
return fixer.insertTextAfter(prev, '\n');
|
||||
},
|
||||
message: 'Expected a blank line between class accessors (get/set).',
|
||||
node
|
||||
});
|
||||
}
|
||||
}
|
||||
};
|
||||
},
|
||||
meta: {
|
||||
docs: { description: 'Require a blank line between consecutive class accessors (get/set).' },
|
||||
fixable: 'whitespace',
|
||||
schema: [],
|
||||
type: 'layout'
|
||||
}
|
||||
};
|
||||
|
||||
export default ts.config(
|
||||
includeIgnoreFile(gitignorePath),
|
||||
@@ -22,7 +65,11 @@ export default ts.config(
|
||||
...svelte.configs.prettier,
|
||||
{
|
||||
languageOptions: { globals: { ...globals.browser, ...globals.node } },
|
||||
plugins: { perfectionist, 'simple-import-sort': simpleImportSort },
|
||||
plugins: {
|
||||
local: { rules: { 'blank-line-between-accessors': blankLineBetweenAccessors } },
|
||||
perfectionist,
|
||||
'simple-import-sort': simpleImportSort
|
||||
},
|
||||
rules: {
|
||||
// Snippet bodies often ignore one or more of the parent's params
|
||||
// (e.g. `{#snippet children(_meta, ctx)}` when only ctx is read).
|
||||
@@ -30,8 +77,11 @@ export default ts.config(
|
||||
'error',
|
||||
{ argsIgnorePattern: '^_', varsIgnorePattern: '^_' }
|
||||
],
|
||||
|
||||
// Enforce empty line at end of file
|
||||
'eol-last': 'error',
|
||||
// Enforce a blank line between consecutive get/set accessors
|
||||
'local/blank-line-between-accessors': 'error',
|
||||
// typescript-eslint strongly recommend that you do not use the no-undef lint rule on TypeScript projects.
|
||||
// see: https://typescript-eslint.io/troubleshooting/faqs/eslint/#i-get-errors-from-the-no-undef-rule-about-global-variables-not-being-defined-even-though-there-are-no-typescript-errors
|
||||
'no-undef': 'off',
|
||||
@@ -61,6 +111,38 @@ export default ts.config(
|
||||
{ blankLine: 'always', next: ['return', 'throw', 'break', 'continue'], prev: '*' }
|
||||
],
|
||||
|
||||
// Class member order: public fields -> private fields -> constructor -> getters
|
||||
// -> setters -> public methods -> private methods, alphabetical within each.
|
||||
// Svelte $derived fields must stay in dependency order (forward references are
|
||||
// rejected), so the two stores that rely on that are exempted below.
|
||||
'perfectionist/sort-classes': [
|
||||
'error',
|
||||
{
|
||||
customGroups: [
|
||||
{ groupName: 'public-field', modifiers: ['public'], selector: 'property' },
|
||||
{ groupName: 'private-field', modifiers: ['private'], selector: 'property' },
|
||||
{ groupName: 'get-method', selector: 'get-method' },
|
||||
{ groupName: 'set-method', selector: 'set-method' },
|
||||
{ groupName: 'public-method', modifiers: ['public'], selector: 'method' },
|
||||
{ groupName: 'private-method', modifiers: ['private'], selector: 'method' }
|
||||
],
|
||||
groups: [
|
||||
'public-field',
|
||||
'private-field',
|
||||
'constructor',
|
||||
'get-method',
|
||||
'set-method',
|
||||
'public-method',
|
||||
'private-method',
|
||||
'unknown'
|
||||
],
|
||||
type: 'natural',
|
||||
// Keep members in dependency order (Svelte rejects forward references in
|
||||
// $derived fields), while still sorting the rest alphabetically.
|
||||
useExperimentalDependencyDetection: true
|
||||
}
|
||||
],
|
||||
|
||||
// Alphabetical order for enum members
|
||||
'perfectionist/sort-enums': ['error', { type: 'natural' }],
|
||||
|
||||
|
||||
+1
-1
@@ -139,7 +139,7 @@
|
||||
let fileSize = $derived(currentItem?.size ? formatFileSize(currentItem.size) : '');
|
||||
|
||||
let hasVisionModality = $derived(
|
||||
currentItem && activeModelId ? modelsStore.modelSupportsVision(activeModelId) : false
|
||||
currentItem && activeModelId ? modelsStore.props.modelSupportsVision(activeModelId) : false
|
||||
);
|
||||
|
||||
let audioSrc = $derived(
|
||||
|
||||
@@ -28,7 +28,6 @@
|
||||
import {
|
||||
chatStore,
|
||||
conversationsStore,
|
||||
mcpResourceStore,
|
||||
mcpStore,
|
||||
modelsStore,
|
||||
serverStore,
|
||||
@@ -140,7 +139,9 @@
|
||||
// float above the box.
|
||||
let mentionAnchor: HTMLDivElement | null = $state(null);
|
||||
|
||||
let cwd = $derived(conversationsStore.activeConversation?.cwd ?? conversationsStore.pendingCwd);
|
||||
let cwd = $derived(
|
||||
conversationsStore.activeConversation?.cwd ?? conversationsStore.preferences.pendingCwd
|
||||
);
|
||||
|
||||
const pickers = useChatFormPickers({
|
||||
focusInput: refocusInput,
|
||||
@@ -151,7 +152,8 @@
|
||||
getShowModelSelector: () => showModelSelector,
|
||||
getValue: () => value,
|
||||
hasCwdTools: () => toolsStore.hasEnabledCwdTools,
|
||||
hasPrompts: () => mcpStore.hasPromptsCapability(conversationsStore.getAllMcpServerOverrides()),
|
||||
hasPrompts: () =>
|
||||
mcpStore.hasPromptsCapability(conversationsStore.preferences.getAllMcpServerOverrides()),
|
||||
openModelSelector: () => chatFormActionsRef?.openModelSelector(),
|
||||
setCaretOffset: (offset) => inputRef?.setCaretOffset(offset),
|
||||
setValue: (v) => {
|
||||
@@ -170,7 +172,7 @@
|
||||
onValueChange?.('');
|
||||
}
|
||||
|
||||
await conversationsStore.setCwd(newDir);
|
||||
await conversationsStore.preferences.setCwd(newDir);
|
||||
|
||||
if (conversationsStore.activeConversation) {
|
||||
await chatStore.recordCwdChange(newDir?.trim() || null);
|
||||
@@ -595,7 +597,7 @@
|
||||
{useRichInput}
|
||||
/>
|
||||
|
||||
{#if mcpResourceStore.hasAttachments}
|
||||
{#if mcpStore.resources.hasAttachments}
|
||||
<ChatFormMcpResourcesList
|
||||
class="mb-3"
|
||||
onResourceClick={(uri) => {
|
||||
|
||||
+2
-2
@@ -38,11 +38,11 @@
|
||||
}
|
||||
|
||||
function isServerEnabledForChat(serverId: string): boolean {
|
||||
return conversationsStore.isMcpServerEnabledForChat(serverId);
|
||||
return conversationsStore.preferences.isMcpServerEnabledForChat(serverId);
|
||||
}
|
||||
|
||||
async function toggleServerForChat(serverId: string) {
|
||||
await conversationsStore.toggleMcpServerForChat(serverId);
|
||||
await conversationsStore.preferences.toggleMcpServerForChat(serverId);
|
||||
}
|
||||
|
||||
function handleMcpSubMenuOpen(open: boolean) {
|
||||
|
||||
+7
-3
@@ -218,12 +218,15 @@
|
||||
{@const hasError = healthState.status === HealthCheckStatus.ERROR}
|
||||
{@const displayName = mcpStore.getServerLabel(server)}
|
||||
{@const faviconUrl = mcpStore.getServerFavicon(server.id)}
|
||||
{@const isEnabled = conversationsStore.isMcpServerEnabledForChat(server.id)}
|
||||
{@const isEnabled = conversationsStore.preferences.isMcpServerEnabledForChat(
|
||||
server.id
|
||||
)}
|
||||
|
||||
<button
|
||||
type="button"
|
||||
class={sheetItemRowClass}
|
||||
onclick={() => !hasError && conversationsStore.toggleMcpServerForChat(server.id)}
|
||||
onclick={() =>
|
||||
!hasError && conversationsStore.preferences.toggleMcpServerForChat(server.id)}
|
||||
disabled={hasError}
|
||||
>
|
||||
<div class="flex min-w-0 flex-1 items-center gap-2">
|
||||
@@ -250,7 +253,8 @@
|
||||
{:else}
|
||||
<Switch
|
||||
checked={isEnabled}
|
||||
onCheckedChange={() => conversationsStore.toggleMcpServerForChat(server.id)}
|
||||
onCheckedChange={() =>
|
||||
conversationsStore.preferences.toggleMcpServerForChat(server.id)}
|
||||
/>
|
||||
{/if}
|
||||
</button>
|
||||
|
||||
+7
-5
@@ -81,10 +81,10 @@
|
||||
|
||||
$effect(() => {
|
||||
if (activeModelId) {
|
||||
const cached = modelsStore.getModelProps(activeModelId);
|
||||
const cached = modelsStore.props.getModelProps(activeModelId);
|
||||
|
||||
if (!cached) {
|
||||
modelsStore.fetchModelProps(activeModelId).then(() => {
|
||||
modelsStore.props.fetchModelProps(activeModelId).then(() => {
|
||||
modelPropsVersion++;
|
||||
});
|
||||
}
|
||||
@@ -94,19 +94,21 @@
|
||||
$effect(() => {
|
||||
void modelPropsVersion;
|
||||
|
||||
hasAudioModality = activeModelId ? modelsStore.modelSupportsAudio(activeModelId) : false;
|
||||
hasAudioModality = activeModelId ? modelsStore.props.modelSupportsAudio(activeModelId) : false;
|
||||
});
|
||||
|
||||
$effect(() => {
|
||||
void modelPropsVersion;
|
||||
|
||||
hasVideoModality = activeModelId ? modelsStore.modelSupportsVideo(activeModelId) : false;
|
||||
hasVideoModality = activeModelId ? modelsStore.props.modelSupportsVideo(activeModelId) : false;
|
||||
});
|
||||
|
||||
$effect(() => {
|
||||
void modelPropsVersion;
|
||||
|
||||
hasVisionModality = activeModelId ? modelsStore.modelSupportsVision(activeModelId) : false;
|
||||
hasVisionModality = activeModelId
|
||||
? modelsStore.props.modelSupportsVision(activeModelId)
|
||||
: false;
|
||||
});
|
||||
|
||||
$effect(() => {
|
||||
|
||||
+3
-3
@@ -58,13 +58,13 @@
|
||||
let currentConfig = $derived(settingsStore.config);
|
||||
|
||||
let hasMcpPromptsSupport = $derived.by(() => {
|
||||
const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
|
||||
const perChatOverrides = conversationsStore.preferences.getAllMcpServerOverrides();
|
||||
|
||||
return mcpStore.hasPromptsCapability(perChatOverrides);
|
||||
});
|
||||
|
||||
let hasMcpResourcesSupport = $derived.by(() => {
|
||||
const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
|
||||
const perChatOverrides = conversationsStore.preferences.getAllMcpServerOverrides();
|
||||
|
||||
return mcpStore.hasResourcesCapability(perChatOverrides);
|
||||
});
|
||||
@@ -121,7 +121,7 @@
|
||||
|
||||
if (!chatStore.isLoading && !chatStore.isStreaming()) return false;
|
||||
|
||||
const processingState = chatStore.activeProcessingState;
|
||||
const processingState = chatStore.processing.activeState;
|
||||
|
||||
if (!processingState) return false;
|
||||
|
||||
|
||||
+3
-3
@@ -16,7 +16,7 @@
|
||||
$effect(() => {
|
||||
const conv = conversationsStore.activeConversation;
|
||||
|
||||
untrack(() => chatStore.setActiveProcessingConversation(conv?.id ?? null));
|
||||
untrack(() => chatStore.processing.setActiveConversation(conv?.id ?? null));
|
||||
});
|
||||
|
||||
$effect(() => {
|
||||
@@ -28,12 +28,12 @@
|
||||
if (chatStore.isLoading || chatStore.isStreaming()) return;
|
||||
|
||||
if (messages.length === 0) {
|
||||
untrack(() => chatStore.clearProcessingState(conv.id));
|
||||
untrack(() => chatStore.processing.setState(conv.id, null));
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
untrack(() => chatStore.restoreProcessingStateFromMessages(messages, conv.id));
|
||||
untrack(() => chatStore.processing.restoreFromMessages(messages, conv.id));
|
||||
});
|
||||
|
||||
$effect(() => {
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
ChatAttachmentsListItemMcpResource,
|
||||
HorizontalScrollCarousel
|
||||
} from '$lib/components/app';
|
||||
import { mcpResourceStore, mcpStore } from '$lib/stores';
|
||||
import { mcpStore } from '$lib/stores';
|
||||
|
||||
interface Props {
|
||||
class?: string;
|
||||
@@ -12,8 +12,8 @@
|
||||
|
||||
let { class: className, onResourceClick }: Props = $props();
|
||||
|
||||
const attachments = $derived(mcpResourceStore.attachments);
|
||||
const hasAttachments = $derived(mcpResourceStore.hasAttachments);
|
||||
const attachments = $derived(mcpStore.resources.attachments);
|
||||
const hasAttachments = $derived(mcpStore.resources.hasAttachments);
|
||||
|
||||
function handleRemove(attachmentId: string) {
|
||||
mcpStore.removeResourceAttachment(attachmentId);
|
||||
|
||||
+1
-1
@@ -87,7 +87,7 @@
|
||||
isLoading = true;
|
||||
|
||||
try {
|
||||
const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
|
||||
const perChatOverrides = conversationsStore.preferences.getAllMcpServerOverrides();
|
||||
const initialized = await mcpStore.ensureInitialized(perChatOverrides);
|
||||
|
||||
if (!initialized) {
|
||||
|
||||
+1
-1
@@ -59,7 +59,7 @@
|
||||
message.model ?? chatStore.getResumeModel(message.convId) ?? modelsStore.selectedModelName
|
||||
);
|
||||
let modelLoadProgress = $derived(
|
||||
isRouter && loadTargetModel ? modelsStore.getLoadProgress(loadTargetModel) : null
|
||||
isRouter && loadTargetModel ? modelsStore.status.getLoadProgress(loadTargetModel) : null
|
||||
);
|
||||
let modelLoadingText = $derived(modelLoadProgressText(modelLoadProgress));
|
||||
|
||||
|
||||
+1
-1
@@ -31,7 +31,7 @@
|
||||
pendingModel = modelId;
|
||||
|
||||
try {
|
||||
await modelsStore.loadModel(modelId);
|
||||
await modelsStore.status.load(modelId);
|
||||
} finally {
|
||||
pendingModel = null;
|
||||
}
|
||||
|
||||
@@ -43,14 +43,14 @@
|
||||
);
|
||||
|
||||
const hasReasoningError = $derived(
|
||||
isLastAssistantMessage ? !!agenticStore.lastError(message.convId) : false
|
||||
isLastAssistantMessage ? !!agenticStore.getLastError(message.convId) : false
|
||||
);
|
||||
|
||||
let permissionDismissed = $state(false);
|
||||
|
||||
const pendingPermission = $derived(
|
||||
isStreaming && isLastAssistantMessage
|
||||
? agenticStore.pendingPermissionRequest(message.convId)
|
||||
? agenticStore.getPendingPermissionRequest(message.convId)
|
||||
: null
|
||||
);
|
||||
|
||||
@@ -74,7 +74,7 @@
|
||||
|
||||
const pendingContinue = $derived(
|
||||
isStreaming && isLastAssistantMessage
|
||||
? agenticStore.pendingContinueRequest(message.convId)
|
||||
? agenticStore.getPendingContinueRequest(message.convId)
|
||||
: false
|
||||
);
|
||||
|
||||
@@ -97,7 +97,7 @@
|
||||
const sections = $derived(deriveAgenticSections(message, toolMessages, [], isStreaming));
|
||||
|
||||
const currentlyExecutingToolCallId = $derived(
|
||||
isStreaming ? agenticStore.executingToolCallId(message.convId) : null
|
||||
isStreaming ? agenticStore.getExecutingToolCallId(message.convId) : null
|
||||
);
|
||||
|
||||
type TurnGroup = {
|
||||
|
||||
@@ -238,30 +238,30 @@
|
||||
/>
|
||||
{/each}
|
||||
|
||||
{#if conversationsStore.activeConversation && agenticStore.pendingSteeringMessageContent(conversationsStore.activeConversation!.id)}
|
||||
{#if conversationsStore.activeConversation && agenticStore.getPendingSteeringMessageContent(conversationsStore.activeConversation!.id)}
|
||||
{@const convId = conversationsStore.activeConversation!.id}
|
||||
{@const pendingContent = agenticStore.pendingSteeringMessageContent(convId)}
|
||||
{@const pendingContent = agenticStore.getPendingSteeringMessageContent(convId)}
|
||||
|
||||
{#if pendingContent}
|
||||
<ChatMessageUserPending
|
||||
class="mx-auto mt-12 w-full max-w-[48rem]"
|
||||
content={pendingContent}
|
||||
extras={agenticStore.pendingSteeringMessageExtras(convId)}
|
||||
extras={agenticStore.getPendingSteeringMessageExtras(convId)}
|
||||
onSendImmediately={() => chatStore.abortCurrentFlow(convId)}
|
||||
onEdit={(newContent, extras) =>
|
||||
agenticStore.injectSteeringMessage(convId, newContent, extras)}
|
||||
onDelete={() => agenticStore.clearSteeringMessage(convId)}
|
||||
/>
|
||||
{/if}
|
||||
{:else if conversationsStore.activeConversation && chatStore.pendingMessageContent(conversationsStore.activeConversation!.id)}
|
||||
{:else if conversationsStore.activeConversation && chatStore.getPendingMessageContent(conversationsStore.activeConversation!.id)}
|
||||
{@const convId = conversationsStore.activeConversation!.id}
|
||||
{@const pendingContent = chatStore.pendingMessageContent(convId)}
|
||||
{@const pendingContent = chatStore.getPendingMessageContent(convId)}
|
||||
|
||||
{#if pendingContent}
|
||||
<ChatMessageUserPending
|
||||
class="mx-auto mt-12 w-full max-w-[48rem]"
|
||||
content={pendingContent}
|
||||
extras={chatStore.pendingMessageExtras(convId)}
|
||||
extras={chatStore.getPendingMessageExtras(convId)}
|
||||
onSendImmediately={() => chatStore.abortCurrentFlow(convId)}
|
||||
onEdit={(newContent, extras) => chatStore.injectPendingMessage(convId, newContent, extras)}
|
||||
onDelete={() => chatStore.clearPendingMessage(convId)}
|
||||
|
||||
@@ -8,7 +8,7 @@
|
||||
import { Button } from '$lib/components/ui/button';
|
||||
import * as Dialog from '$lib/components/ui/dialog';
|
||||
import { ICON_CLASS_DEFAULT } from '$lib/constants';
|
||||
import { conversationsStore, mcpResourceStore, mcpStore } from '$lib/stores';
|
||||
import { conversationsStore, mcpStore } from '$lib/stores';
|
||||
import type { MCPResourceContent, MCPResourceInfo, MCPResourceTemplateInfo } from '$lib/types';
|
||||
import { getResourceDisplayName } from '$lib/utils';
|
||||
import { SvelteSet } from 'svelte/reactivity';
|
||||
@@ -33,7 +33,7 @@
|
||||
let templatePreviewLoading = $state(false);
|
||||
let templatePreviewError = $state<string | null>(null);
|
||||
|
||||
const totalCount = $derived(mcpResourceStore.totalResourceCount);
|
||||
const totalCount = $derived(mcpStore.resources.totalResourceCount);
|
||||
|
||||
$effect(() => {
|
||||
if (open) {
|
||||
@@ -48,7 +48,7 @@
|
||||
});
|
||||
|
||||
async function loadResources() {
|
||||
const perChatOverrides = conversationsStore.getAllMcpServerOverrides();
|
||||
const perChatOverrides = conversationsStore.preferences.getAllMcpServerOverrides();
|
||||
const initialized = await mcpStore.ensureInitialized(perChatOverrides);
|
||||
|
||||
if (initialized) {
|
||||
@@ -126,16 +126,16 @@
|
||||
isAttaching = true;
|
||||
|
||||
try {
|
||||
const knownResource = mcpResourceStore.findResourceByUri(templatePreviewUri);
|
||||
const knownResource = mcpStore.resources.findResourceByUri(templatePreviewUri);
|
||||
|
||||
if (knownResource) {
|
||||
if (!mcpResourceStore.isAttached(knownResource.uri)) {
|
||||
if (!mcpStore.resources.isAttached(knownResource.uri)) {
|
||||
await mcpStore.attachResource(knownResource.uri);
|
||||
}
|
||||
|
||||
toast.success(`Resource attached: ${knownResource.title || knownResource.name}`);
|
||||
} else {
|
||||
if (mcpResourceStore.isAttached(templatePreviewUri)) {
|
||||
if (mcpStore.resources.isAttached(templatePreviewUri)) {
|
||||
toast.info('Resource already attached');
|
||||
handleOpenChange(false);
|
||||
|
||||
@@ -147,9 +147,9 @@
|
||||
serverName: selectedTemplate.serverName,
|
||||
uri: templatePreviewUri
|
||||
};
|
||||
const attachment = mcpResourceStore.addAttachment(resourceInfo);
|
||||
const attachment = mcpStore.resources.addAttachment(resourceInfo);
|
||||
|
||||
mcpResourceStore.updateAttachmentContent(attachment.id, templatePreviewContent);
|
||||
mcpStore.resources.updateAttachmentContent(attachment.id, templatePreviewContent);
|
||||
|
||||
toast.success(`Resource attached: ${resourceInfo.name}`);
|
||||
}
|
||||
@@ -199,7 +199,7 @@
|
||||
|
||||
function getAllResourcesFlatInTreeOrder(): MCPResourceInfo[] {
|
||||
const allResources: MCPResourceInfo[] = [];
|
||||
const resourcesMap = mcpResourceStore.serverResources;
|
||||
const resourcesMap = mcpStore.resources.serverResources;
|
||||
|
||||
for (const [serverName, serverRes] of resourcesMap.entries()) {
|
||||
for (const resource of serverRes.resources) {
|
||||
|
||||
@@ -234,7 +234,7 @@
|
||||
useProxy: newServerUseProxy
|
||||
});
|
||||
|
||||
conversationsStore.setMcpServerOverride(newServerId, true);
|
||||
conversationsStore.preferences.setMcpServerOverride(newServerId, true);
|
||||
|
||||
handleOpenChange(false);
|
||||
}
|
||||
|
||||
@@ -42,7 +42,7 @@
|
||||
let modalities = $derived.by(() => {
|
||||
if (!firstModel?.id) return [];
|
||||
|
||||
return modelsStore.getModelModalitiesArray(firstModel.id);
|
||||
return modelsStore.props.getModelModalitiesArray(firstModel.id);
|
||||
});
|
||||
|
||||
// Ensure models are fetched when dialog opens
|
||||
@@ -56,7 +56,7 @@
|
||||
$effect(() => {
|
||||
if (open && isRouter && modelId) {
|
||||
isLoadingRouterProps = true;
|
||||
modelsStore
|
||||
modelsStore.props
|
||||
.fetchModelProps(modelId)
|
||||
.then((props) => {
|
||||
routerModelProps = props;
|
||||
|
||||
@@ -14,7 +14,9 @@
|
||||
|
||||
let mcpServers = $derived(mcpStore.getServers().filter((s) => s.enabled));
|
||||
let enabledMcpServersForChat = $derived(
|
||||
mcpServers.filter((s) => conversationsStore.isMcpServerEnabledForChat(s.id) && s.url.trim())
|
||||
mcpServers.filter(
|
||||
(s) => conversationsStore.preferences.isMcpServerEnabledForChat(s.id) && s.url.trim()
|
||||
)
|
||||
);
|
||||
let healthyEnabledMcpServers = $derived(
|
||||
enabledMcpServersForChat.filter((s) => {
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
import McpResourcesBrowserEmptyState from './McpResourcesBrowserEmptyState.svelte';
|
||||
import McpResourcesBrowserHeader from './McpResourcesBrowserHeader.svelte';
|
||||
import McpResourcesBrowserServerItem from './McpResourcesBrowserServerItem.svelte';
|
||||
import { mcpResourceStore, mcpStore } from '$lib/stores';
|
||||
import { mcpStore } from '$lib/stores';
|
||||
import type { MCPResourceInfo, MCPResourceTemplateInfo, MCPServerResources } from '$lib/types';
|
||||
import { parseResourcePath } from '$lib/utils';
|
||||
import { SvelteMap, SvelteSet } from 'svelte/reactivity';
|
||||
@@ -31,8 +31,8 @@
|
||||
let expandedFolders = new SvelteSet<string>();
|
||||
let searchQuery = $state('');
|
||||
|
||||
const resources = $derived(mcpResourceStore.serverResources);
|
||||
const isLoading = $derived(mcpResourceStore.isLoading);
|
||||
const resources = $derived(mcpStore.resources.serverResources);
|
||||
const isLoading = $derived(mcpStore.resources.isLoading);
|
||||
|
||||
const filteredResources = $derived.by(() => {
|
||||
if (!searchQuery.trim()) {
|
||||
|
||||
@@ -116,7 +116,7 @@
|
||||
|
||||
if (status === ServerModelStatus.LOADING) return;
|
||||
|
||||
await modelsStore.unloadModel(modelId);
|
||||
await modelsStore.status.unload(modelId);
|
||||
}
|
||||
|
||||
export function open() {
|
||||
@@ -174,9 +174,9 @@
|
||||
{@const triggerLoading =
|
||||
!!triggerModel &&
|
||||
(triggerStatus === ServerModelStatus.LOADING ||
|
||||
modelsStore.isModelOperationInProgress(triggerModel))}
|
||||
modelsStore.status.isOperationInProgress(triggerModel))}
|
||||
{@const triggerLoadPercent = triggerLoading
|
||||
? Math.round(modelLoadFraction(modelsStore.getLoadProgress(triggerModel)) * 100)
|
||||
? Math.round(modelLoadFraction(modelsStore.status.getLoadProgress(triggerModel)) * 100)
|
||||
: 0}
|
||||
|
||||
{#if ms.isRouter}
|
||||
|
||||
@@ -47,7 +47,7 @@
|
||||
|
||||
return (model?.status?.value as ServerModelStatus) ?? null;
|
||||
});
|
||||
let isOperationInProgress = $derived(modelsStore.isModelOperationInProgress(option.model));
|
||||
let isOperationInProgress = $derived(modelsStore.status.isOperationInProgress(option.model));
|
||||
let isFailed = $derived(serverStatus === ServerModelStatus.FAILED);
|
||||
let isSleeping = $derived(serverStatus === ServerModelStatus.SLEEPING);
|
||||
let isLoaded = $derived(
|
||||
@@ -55,7 +55,7 @@
|
||||
);
|
||||
let isLoading = $derived(serverStatus === ServerModelStatus.LOADING || isOperationInProgress);
|
||||
|
||||
let loadProgress = $derived(isLoading ? modelsStore.getLoadProgress(option.model) : null);
|
||||
let loadProgress = $derived(isLoading ? modelsStore.status.getLoadProgress(option.model) : null);
|
||||
let loadPercent = $derived(Math.round(modelLoadFraction(loadProgress) * 100));
|
||||
let loadTitle = $derived(modelLoadProgressText(loadProgress));
|
||||
</script>
|
||||
@@ -138,7 +138,7 @@
|
||||
icon={RotateCw}
|
||||
tooltip="Retry loading model"
|
||||
class="h-3 w-3 text-red-500 hover:text-foreground"
|
||||
onclick={() => modelsStore.loadModel(option.model)}
|
||||
onclick={() => modelsStore.status.load(option.model)}
|
||||
stopPropagationOnClick
|
||||
/>
|
||||
</div>
|
||||
@@ -157,7 +157,7 @@
|
||||
class="h-3 w-3 text-red-500 hover:text-red-600 [@media(pointer:coarse)]:text-amber-500 [@media(pointer:coarse)]:hover:text-amber-600"
|
||||
onclick={(e) => {
|
||||
e?.stopPropagation();
|
||||
modelsStore.unloadModel(option.model);
|
||||
modelsStore.status.unload(option.model);
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
@@ -174,7 +174,7 @@
|
||||
icon={PowerOff}
|
||||
tooltip="Unload model"
|
||||
class="h-3 w-3 text-red-500 hover:text-red-600 [@media(pointer:coarse)]:text-green-500 [@media(pointer:coarse)]:hover:text-green-600"
|
||||
onclick={() => modelsStore.unloadModel(option.model)}
|
||||
onclick={() => modelsStore.status.unload(option.model)}
|
||||
stopPropagationOnClick
|
||||
/>
|
||||
</div>
|
||||
@@ -191,7 +191,7 @@
|
||||
icon={Power}
|
||||
tooltip="Load model"
|
||||
class="h-3 w-3 [@media(pointer:coarse)]:text-muted-foreground"
|
||||
onclick={() => modelsStore.loadModel(option.model)}
|
||||
onclick={() => modelsStore.status.load(option.model)}
|
||||
stopPropagationOnClick
|
||||
/>
|
||||
</div>
|
||||
|
||||
@@ -72,9 +72,9 @@
|
||||
{@const triggerLoading =
|
||||
!!triggerModel &&
|
||||
(triggerStatus === ServerModelStatus.LOADING ||
|
||||
modelsStore.isModelOperationInProgress(triggerModel))}
|
||||
modelsStore.status.isOperationInProgress(triggerModel))}
|
||||
{@const triggerLoadPercent = triggerLoading
|
||||
? Math.round(modelLoadFraction(modelsStore.getLoadProgress(triggerModel)) * 100)
|
||||
? Math.round(modelLoadFraction(modelsStore.status.getLoadProgress(triggerModel)) * 100)
|
||||
: 0}
|
||||
|
||||
{#if ms.isRouter}
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
NUMERIC_FIELDS,
|
||||
POSITIVE_INTEGER_FIELDS,
|
||||
SETTINGS_CHAT_SECTIONS,
|
||||
SETTINGS_SECTION_TITLES
|
||||
SETTINGS_SECTION_SLUGS
|
||||
} from '$lib/constants';
|
||||
import { ColorMode } from '$lib/enums/ui.enums';
|
||||
import { RouterService } from '$lib/services/router.service';
|
||||
@@ -46,13 +46,13 @@
|
||||
let fetchInitiated = false;
|
||||
|
||||
$effect(() => {
|
||||
if (serverStore.isRouterMode && currentSection.fields && !fetchInitiated) {
|
||||
if (serverStore.isRouterMode && currentSection.fields?.length && !fetchInitiated) {
|
||||
fetchInitiated = true;
|
||||
|
||||
void modelsStore
|
||||
.fetch()
|
||||
.then(() => modelsStore.fetchRouterModels())
|
||||
.then(() => modelsStore.fetchModalitiesForLoadedModels())
|
||||
.then(() => modelsStore.props.fetchModalitiesForLoadedModels())
|
||||
.then(() => modelsStore.ensureFirstModelSelected());
|
||||
}
|
||||
});
|
||||
@@ -148,9 +148,9 @@
|
||||
<h3 class="text-lg font-semibold">{currentSection.title}</h3>
|
||||
</div>
|
||||
|
||||
{#if currentSection.title === SETTINGS_SECTION_TITLES.TOOLS}
|
||||
{#if currentSection.slug === SETTINGS_SECTION_SLUGS.TOOLS}
|
||||
<SettingsChatToolsTab />
|
||||
{:else if currentSection.title === SETTINGS_SECTION_TITLES.IMPORT_EXPORT}
|
||||
{:else if currentSection.slug === SETTINGS_SECTION_SLUGS.IMPORT_EXPORT}
|
||||
<SettingsChatImportExportTab />
|
||||
{:else if currentSection.fields}
|
||||
<div class="space-y-6">
|
||||
@@ -161,7 +161,7 @@
|
||||
onThemeChange={handleThemeChange}
|
||||
/>
|
||||
|
||||
{#if currentSection.title === SETTINGS_SECTION_TITLES.GENERAL}
|
||||
{#if currentSection.slug === SETTINGS_SECTION_SLUGS.GENERAL}
|
||||
<div class="flex justify-end">
|
||||
<Button variant="outline" onclick={() => window.location.reload()}>
|
||||
<RefreshCw class="h-3 w-3" />
|
||||
|
||||
@@ -23,13 +23,13 @@
|
||||
let { fields, localConfig, onConfigChange, onThemeChange }: Props = $props();
|
||||
|
||||
let currentModelParams = $derived.by(() => {
|
||||
void modelsStore.propsCacheVersion;
|
||||
void modelsStore.props.cacheVersion;
|
||||
|
||||
if (serverStore.isRouterMode) {
|
||||
const currentModelName = modelsStore.selectedModelName;
|
||||
|
||||
if (currentModelName) {
|
||||
const currentModelProps = modelsStore.getModelProps(currentModelName);
|
||||
const currentModelProps = modelsStore.props.getModelProps(currentModelName);
|
||||
|
||||
return (currentModelProps?.default_generation_settings?.params ?? {}) as Record<
|
||||
string,
|
||||
|
||||
@@ -121,11 +121,13 @@
|
||||
{:else}
|
||||
<McpServerCard
|
||||
{server}
|
||||
enabled={conversationsStore.isMcpServerEnabledForChat(server.id)}
|
||||
enabled={conversationsStore.preferences.isMcpServerEnabledForChat(server.id)}
|
||||
onToggle={async () => {
|
||||
const wasEnabled = conversationsStore.isMcpServerEnabledForChat(server.id);
|
||||
const wasEnabled = conversationsStore.preferences.isMcpServerEnabledForChat(
|
||||
server.id
|
||||
);
|
||||
|
||||
await conversationsStore.toggleMcpServerForChat(server.id);
|
||||
await conversationsStore.preferences.toggleMcpServerForChat(server.id);
|
||||
|
||||
if (!wasEnabled) {
|
||||
// Promote the connection so tools/prompts/resources become
|
||||
|
||||
@@ -74,7 +74,7 @@ export const ATTACHMENT_PROMPT_ITEMS: AttachmentMenuItem[] = [
|
||||
enabledWhen: AttachmentItemEnabledWhen.ALWAYS,
|
||||
icon: Zap,
|
||||
id: AttachmentMenuItemId.MCP_PROMPT,
|
||||
label: 'MCP Prompt',
|
||||
label: 'MCP Prompts',
|
||||
visibleWhen: AttachmentItemVisibleWhen.HAS_MCP_PROMPTS_SUPPORT
|
||||
}
|
||||
];
|
||||
|
||||
@@ -32,13 +32,3 @@ export const MCP_RESOURCE_CACHE = {
|
||||
/** TTL for MCP resource cache entries in milliseconds (5 minutes) */
|
||||
TTL_MS: 5 * 60 * 1000
|
||||
} as const;
|
||||
|
||||
/**
|
||||
* Limits for pruning inactive conversation states held in memory.
|
||||
*/
|
||||
export const INACTIVE_CONVERSATION = {
|
||||
/** Maximum age (in ms) for inactive conversation states before cleanup (30 minutes) */
|
||||
MAX_AGE_MS: 30 * 60 * 1000,
|
||||
/** Maximum number of inactive conversation states to keep in memory */
|
||||
MAX_STATES: 10
|
||||
} as const;
|
||||
|
||||
@@ -48,7 +48,7 @@ export * from './pwa.constants';
|
||||
export * from './routes.constants';
|
||||
export * from './sandbox.constants';
|
||||
export * from './settings-keys.constants';
|
||||
export * from './settings-registry.constants';
|
||||
export * from './settings.constants';
|
||||
export * from './special-characters.constants';
|
||||
export * from './stream.constants';
|
||||
export * from './supported-file-types.constants';
|
||||
|
||||
@@ -10,18 +10,6 @@ export const URL_PARAMS = {
|
||||
QUERY: 'q'
|
||||
} as const;
|
||||
|
||||
/** Settings section slugs — used for routes and navigation. */
|
||||
export const SETTINGS_SECTION_SLUGS = {
|
||||
AGENTIC: 'agentic',
|
||||
DEVELOPER: 'developer',
|
||||
DISPLAY: 'display',
|
||||
GENERAL: 'general',
|
||||
IMPORT_EXPORT: 'import-export',
|
||||
PENALTIES: 'penalties',
|
||||
SAMPLING: 'sampling',
|
||||
TOOLS: 'tools'
|
||||
} as const;
|
||||
|
||||
export const ROUTES = {
|
||||
/** Chat base — for dynamic chat URLs use RouterService. */
|
||||
CHAT: '#/chat',
|
||||
@@ -33,6 +21,8 @@ export const ROUTES = {
|
||||
SEARCH: '#/search',
|
||||
/** Settings base — for dynamic settings URLs use RouterService. */
|
||||
SETTINGS: '#/settings',
|
||||
/** Exit destination for the settings view (fallback when no referrer). */
|
||||
SETTINGS_EXIT: '#/',
|
||||
/** Root — start of the app. */
|
||||
START: '#/'
|
||||
} as const;
|
||||
|
||||
+468
-537
File diff suppressed because it is too large
Load Diff
@@ -1,3 +1,5 @@
|
||||
import { UrlProtocol } from '$lib/enums';
|
||||
|
||||
const STD = ['com', 'net', 'org', 'gov', 'edu'] as const;
|
||||
const STD_MIL = [...STD, 'mil'] as const;
|
||||
const ccTLD_PREFIXES: Record<string, readonly string[]> = {
|
||||
@@ -184,3 +186,7 @@ export const WILDCARD_PUBLIC_SUFFIXES = buildSuffixSet(WILDCARD_BASES);
|
||||
|
||||
// Matches one or more trailing "/" characters at the end of a URL/path.
|
||||
export const TRAILING_SLASHES_REGEX = /\/+$/;
|
||||
|
||||
// Protocols that apiFetch treats as absolute and passes through untouched.
|
||||
// Add a protocol here when a caller needs to fetch an absolute URL with it.
|
||||
export const API_ABSOLUTE_URL_PROTOCOLS = [UrlProtocol.HTTP, UrlProtocol.HTTPS] as const;
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user