Compare commits

...

21 Commits

Author SHA1 Message Date
Andrei 6eab47181c wasm : fix fallback symbol collision (#24639) 2026-06-15 10:11:59 +03:00
Katostrofik e3bb1add8c SYCL: use native subgroup size for K-quant DMMV (#21700) 2026-06-15 10:10:53 +03:00
someoneinjd d8a3f523c8 sycl: fix soft_max_f32 max reduction (#24451) 2026-06-15 10:10:12 +03:00
Neo Zhang 72be44f1d2 sycl : fix reorder function; add fp32/fp16 in build script (#24578) 2026-06-15 10:08:34 +03:00
Neo Zhang 8872ab5467 sycl : enhance set_rows to support q1_0, mxfp4, nvfp4 (#24564) 2026-06-15 10:01:40 +03:00
Neo Zhang 987fbd821d [SYCL] add to support pool_1d, move pool_1d/2d code to pool.cpp/hpp (#24584)
* add to support pool_1d, move pool_1d/2d code to pool.cpp/hpp

* update ops.md
2026-06-15 10:01:07 +03:00
Alexey Kopytko c035ff4902 [SYCL]: Remove per-allocation Level Zero runtime checks (#23399)
* [SYCL] Centralize Level Zero detection in ggml_sycl_init

* use the same wording

* get back the warning

* [SYCL] Remove per-allocation getenv() for GGML_SYCL_ENABLE_LEVEL_ZERO

* bring back the comment

* move it up to make sure devices call the shots

* move the env detection early

* replace g_ggml_sycl_enable_level_zero with a direct call to .ext_oneapi_level_zero

* update the comment

* switch back to g_ggml_sycl_enable_level_zero with a sentinel

* remove the check

* Reduce the diff

* reword, move lower

* move things aroudn

* remove forward declaration if favor of a full replace

* pre-cache results of zeDeviceGetProperties

* put ggml_sycl_get_env back

* replace get_sycl_env with ggml_sycl_get_env

* add whitespace back

* Apply suggestion from @sanmai
2026-06-15 09:58:42 +03:00
Georgi Gerganov 272088b9f2 metal : add repeat bf16 (#24638) 2026-06-15 09:57:16 +03:00
Piotr Wilkin (ilintar) a6dff71270 chat: fix whitespace problems once and for all (#24624)
* chat: fix whitespace problems once and for all

* Purge trailing spaces from grammar generation

* Revert "Purge trailing spaces from grammar generation"

This reverts commit b0827ecb7d.
2026-06-15 08:27:10 +02:00
Pascal 2a6c391a5e UI/svg block rendering (#24080)
* ui: add svg block visualizer based on allozaur's mermaid PR

* ui: rationalise diagram block styling and pre transforms shared by mermaid and svg

* ui: live render streaming svg blocks

* ui: also render svg authored in xml code fences

* ui: refactor svg block rendering, address review from allozaur

- Move the svg size ceiling and DOMPurify config out of sanitize-svg.ts into /constants.
- Rename the svg-diagram class to svg-block so the name no longer implies diagrams only.
- Replace the svg, xml and svg tag magic strings in the markdown pipeline with shared constants.
- Promote the data-svg-rendered marker and its sibling data attributes to constants.

* ui: render svg blocks in a shadow root for animation and live zoom

Mount each sanitized svg inside an open shadow root so author <style> and
keyframe or smil animations run while staying scoped to the host element.
Relax the sanitizer to forbid only foreignObject and script, which lets
animation, href and external resource refs through for wider compatibility.
Render the inline block and the zoom dialog from the same reactive source,
so a streaming svg keeps drawing live inside the open zoom popup.
2026-06-15 08:11:36 +02:00
leonardHONG 3686e9d643 CUDA: only support F32/F16 for GGML_OP_REPEAT (#24533) 2026-06-15 09:11:00 +03:00
Masashi Yoshimura 6e9007ae61 ggml-webgpu: improve i-quants mul_mat performance and speed up prefill (#24530)
* Improve prefill speeds for i-quants

* Fix #if defined() usage in preprocessor guards.
2026-06-14 18:15:30 -07:00
Sigbjørn Skjæret dd4623a74f convert : fix lora base model arch retrieval (#24621) 2026-06-15 00:55:26 +02:00
franitel ef8268feee fix(ui): render thinking/reasoning block content as markdown (#24611)
* fix(ui): render thinking/reasoning block content as markdown

* feat(ui): add toggle setting for thinking block markdown rendering
2026-06-14 22:56:56 +02:00
Nicolas Mowen 5f04dc7ac3 ui: Add HEIC/HEIF image support (#24137)
* Add boilerplate for file types

* Add heic-to and implement conversion

* Load heic library from CDN

* Use jpg instead of png for conversion

* Move const to constants file
2026-06-14 20:42:16 +02:00
Piotr Wilkin (ilintar) aedb2a5e9c chat: add dedicated Cohere2MoE (North Code) parser (#24615)
* chat: add dedicated Cohere2MoE (North Code) parser

* Some renames to make @CISC happy :>
2026-06-14 20:17:40 +02:00
Mohammad Athar 8edaca9034 docs : fix typos in CUDA-FEDORA.md and grammars/README.md (#24459) 2026-06-15 01:33:38 +08:00
Alexander Batischev 20c5266f8a docker: specify registry to simplify Podman builds (#24607) 2026-06-15 01:27:20 +08:00
Pascal fd5869fb62 UI/mobile keyboard and pwa popup fixes (#24610)
* ui: make mobile layout keyboard-aware via interactive-widget and dvh shell anchor

* ui: fix duplicate PWA refresh popup by scoping the storage check to non-PWA pages
2026-06-14 18:35:00 +02:00
Amos Wong 1fd6dfe9f3 ui : fix ui clipping in mobile due to incorrect height setup (#24605) 2026-06-14 16:15:51 +02:00
Sigbjørn Skjæret acd79d603c jinja : add count/d/e filter aliases (#24606) 2026-06-14 15:07:31 +02:00
72 changed files with 2860 additions and 1174 deletions
+2 -2
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@@ -3,7 +3,7 @@ ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
FROM ubuntu:$UBUNTU_VERSION AS build
FROM docker.io/ubuntu:$UBUNTU_VERSION AS build
ARG TARGETARCH
@@ -37,7 +37,7 @@ RUN mkdir -p /app/full \
&& cp .devops/tools.sh /app/full/tools.sh
## Base image
FROM ubuntu:$UBUNTU_VERSION AS base
FROM docker.io/ubuntu:$UBUNTU_VERSION AS base
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
+2 -2
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@@ -3,9 +3,9 @@ ARG UBUNTU_VERSION=24.04
ARG CUDA_VERSION=12.8.1
ARG GCC_VERSION=14
# Target the CUDA build image
ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
ARG BASE_CUDA_DEV_CONTAINER=docker.io/nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
ARG BASE_CUDA_RUN_CONTAINER=nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION}
ARG BASE_CUDA_RUN_CONTAINER=docker.io/nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION}
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
+2 -2
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@@ -5,7 +5,7 @@ ARG APP_REVISION=N/A
## Build Image
FROM intel/deep-learning-essentials:$ONEAPI_VERSION AS build
FROM docker.io/intel/deep-learning-essentials:$ONEAPI_VERSION AS build
ARG GGML_SYCL_F16=OFF
ARG LEVEL_ZERO_VERSION=1.28.2
@@ -42,7 +42,7 @@ RUN mkdir -p /app/full \
&& cp requirements.txt /app/full \
&& cp .devops/tools.sh /app/full/tools.sh
FROM intel/deep-learning-essentials:$ONEAPI_VERSION AS base
FROM docker.io/intel/deep-learning-essentials:$ONEAPI_VERSION AS base
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
+2 -2
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@@ -3,7 +3,7 @@ ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
FROM ascendai/cann:$ASCEND_VERSION AS build
FROM docker.io/ascendai/cann:$ASCEND_VERSION AS build
WORKDIR /app
@@ -30,7 +30,7 @@ RUN echo "Building with static libs" && \
cmake --build build --config Release --target llama-completion
# TODO: use image with NNRT
FROM ascendai/cann:$ASCEND_VERSION AS runtime
FROM docker.io/ascendai/cann:$ASCEND_VERSION AS runtime
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
+2 -2
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@@ -2,9 +2,9 @@ ARG UBUNTU_VERSION=22.04
# This needs to generally match the container host's environment.
ARG MUSA_VERSION=rc4.3.0
# Target the MUSA build image
ARG BASE_MUSA_DEV_CONTAINER=mthreads/musa:${MUSA_VERSION}-devel-ubuntu${UBUNTU_VERSION}-amd64
ARG BASE_MUSA_DEV_CONTAINER=docker.io/mthreads/musa:${MUSA_VERSION}-devel-ubuntu${UBUNTU_VERSION}-amd64
ARG BASE_MUSA_RUN_CONTAINER=mthreads/musa:${MUSA_VERSION}-runtime-ubuntu${UBUNTU_VERSION}-amd64
ARG BASE_MUSA_RUN_CONTAINER=docker.io/mthreads/musa:${MUSA_VERSION}-runtime-ubuntu${UBUNTU_VERSION}-amd64
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
+2 -2
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@@ -23,7 +23,7 @@ ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
## Build Image
FROM ubuntu:${UBUNTU_VERSION} AS build
FROM docker.io/ubuntu:${UBUNTU_VERSION} AS build
# Pass proxy args to build stage
ARG http_proxy
@@ -88,7 +88,7 @@ RUN mkdir -p /app/full \
&& cp .devops/tools.sh /app/full/tools.sh
## Base Runtime Image
FROM ubuntu:${UBUNTU_VERSION} AS base
FROM docker.io/ubuntu:${UBUNTU_VERSION} AS base
# Pass proxy args to runtime stage
ARG http_proxy
+1 -1
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@@ -5,7 +5,7 @@ ARG ROCM_VERSION=7.2.1
ARG AMDGPU_VERSION=7.2.1
# Target the ROCm build image
ARG BASE_ROCM_DEV_CONTAINER=rocm/dev-ubuntu-${UBUNTU_VERSION}:${ROCM_VERSION}-complete
ARG BASE_ROCM_DEV_CONTAINER=docker.io/rocm/dev-ubuntu-${UBUNTU_VERSION}:${ROCM_VERSION}-complete
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
+2 -2
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@@ -5,7 +5,7 @@ ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
### Build Llama.cpp stage
FROM gcc:${GCC_VERSION} AS build
FROM docker.io/gcc:${GCC_VERSION} AS build
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
--mount=type=cache,target=/var/lib/apt/lists,sharing=locked \
@@ -55,7 +55,7 @@ COPY --from=build /opt/llama.cpp/conversion /llama.cpp/conversion
### Base image
FROM ubuntu:${UBUNTU_VERSION} AS base
FROM docker.io/ubuntu:${UBUNTU_VERSION} AS base
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
+2 -2
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@@ -3,7 +3,7 @@ ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
FROM ubuntu:$UBUNTU_VERSION AS build
FROM docker.io/ubuntu:$UBUNTU_VERSION AS build
# Install build tools
RUN apt update && apt install -y git build-essential cmake wget xz-utils
@@ -33,7 +33,7 @@ RUN mkdir -p /app/full \
&& cp .devops/tools.sh /app/full/tools.sh
## Base image
FROM ubuntu:$UBUNTU_VERSION AS base
FROM docker.io/ubuntu:$UBUNTU_VERSION AS base
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
+2 -2
View File
@@ -3,7 +3,7 @@ ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
ARG APP_REVISION=N/A
FROM ubuntu:$UBUNTU_VERSION AS build
FROM docker.io/ubuntu:$UBUNTU_VERSION AS build
RUN apt-get update && \
apt-get install -y gcc-13 g++-13 build-essential git cmake libssl-dev libomp-dev libnuma-dev python3 ca-certificates
@@ -30,7 +30,7 @@ RUN mkdir -p /app/full \
&& cp .devops/tools.sh /app/full/tools.sh
## Base image
FROM ubuntu:$UBUNTU_VERSION AS base
FROM docker.io/ubuntu:$UBUNTU_VERSION AS base
ARG BUILD_DATE=N/A
ARG APP_VERSION=N/A
+2 -3
View File
@@ -134,7 +134,7 @@ common_peg_arena autoparser::build_parser(const generation_params & inputs, cons
auto response_format = p.rule("response-format", p.content(p.schema(p.json(), "response-format-schema", inputs.json_schema)));
parser = ctx.reasoning_parser + p.space() + p.choice({
p.literal("```json") + p.space() + response_format + p.space() + p.literal("```"),
response_format
p.space() + response_format + p.space()
}) + p.end();
pure_content = false;
} else if (has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && jinja_caps.supports_tool_calls) {
@@ -393,8 +393,7 @@ common_peg_parser analyze_tools::build_tool_parser_tag_tagged(parser_build_conte
(schema_info.resolves_to_string(param_schema) ?
p.tool_arg_string_value(until_suffix) :
p.tool_arg_json_value(p.schema(
p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema, false)) +
p.space()) +
p.json(), "tool-" + name + "-arg-" + param_name + "-schema", param_schema, false))) +
p.tool_arg_close(p.literal(arguments.value_suffix)));
auto named_arg = p.rule("tool-" + name + "-arg-" + param_name, arg);
+3 -4
View File
@@ -1229,8 +1229,8 @@ void analyze_tools::extract_argument_name_markers() {
left_result.tags["pre"] == right_result.tags["pre"] &&
left_result.tags["suffix"] == right_result.tags["suffix"]) {
// Name is inside a structure (e.g., JSON key): prefix is the shared wrapper
arguments.name_prefix = trim_whitespace(left_result.tags["pre"]);
arguments.name_suffix = trim_leading_whitespace(left_result.tags["suffix"]);
arguments.name_prefix = left_result.tags["pre"];
arguments.name_suffix = left_result.tags["suffix"];
} else if (diff.left.substr(0, ARG_FIRST.length()) == ARG_FIRST && diff.right.substr(0, ARG_SECOND.length()) == ARG_SECOND) {
// Name is directly in the diff: prefix comes from last marker in diff.prefix
auto pre_parser = build_tagged_peg_parser([&](common_peg_parser_builder & p) {
@@ -1315,8 +1315,7 @@ void analyze_tools::extract_argument_value_markers() {
value_suffix = value_suffix.substr(0, end_marker_pos);
}
}
value_suffix = trim_leading_whitespace(value_suffix);
if (!value_suffix.empty()) {
if (!trim_whitespace(value_suffix).empty()) {
arguments.value_suffix = value_suffix;
}
}
+1 -1
View File
@@ -363,7 +363,7 @@ void common_chat_peg_mapper::map(const common_peg_ast_node & node) {
}
if ((is_arg_value || is_arg_string_value) && current_tool) {
std::string value_content = std::string(trim_trailing_space(trim_leading_space(node.text, 1), 1));
std::string value_content = std::string(node.text);
std::string value_to_add;
if (value_content.empty() && is_arg_string_value) {
+149
View File
@@ -1979,6 +1979,146 @@ static common_chat_params common_chat_params_init_deepseek_v3_2(const common_cha
return data;
}
// Cohere2 MoE (a.k.a. "North Code") parser.
//
// The assistant turn is fully marker-wrapped:
// <|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
// <|START_THINKING|>{reasoning}<|END_THINKING|>
// then EITHER content: <|START_TEXT|>{content}<|END_TEXT|>
// OR tool calls: <|START_ACTION|>[
// {"tool_call_id": "0", "tool_name": "f", "parameters": {...}}, ...
// ]<|END_ACTION|>
// <|END_OF_TURN_TOKEN|>
//
// The generation prompt forces a leading <|START_THINKING|> (when reasoning is enabled, which is
// the template default), so the model's output continues from *inside* the thinking block. The
// parser literal therefore only covers the stable <|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|> prefix
// and the reasoning rule consumes the <|START_THINKING|> ... <|END_THINKING|> markers itself,
// regardless of whether they came from the generation prompt or the generated text.
static common_chat_params common_chat_params_init_cohere2moe(const common_chat_template & tmpl,
const autoparser::generation_params & inputs) {
common_chat_params data;
const std::string TURN_START = "<|START_OF_TURN_TOKEN|>";
const std::string TURN_END = "<|END_OF_TURN_TOKEN|>";
const std::string CHATBOT = "<|CHATBOT_TOKEN|>";
const std::string USER = "<|USER_TOKEN|>";
const std::string SYSTEM = "<|SYSTEM_TOKEN|>";
const std::string THINK_START = "<|START_THINKING|>";
const std::string THINK_END = "<|END_THINKING|>";
const std::string TEXT_START = "<|START_TEXT|>";
const std::string TEXT_END = "<|END_TEXT|>";
const std::string ACTION_START = "<|START_ACTION|>";
const std::string ACTION_END = "<|END_ACTION|>";
const std::string RESULT_START = "<|START_TOOL_RESULT|>";
const std::string RESULT_END = "<|END_TOOL_RESULT|>";
// Stable prefix of the generation prompt that precedes the (forced) <|START_THINKING|> marker.
const std::string GEN_PREFIX = TURN_START + CHATBOT;
data.prompt = common_chat_template_direct_apply_impl(tmpl, inputs);
data.generation_prompt = common_chat_template_generation_prompt_impl(tmpl, inputs);
data.format = COMMON_CHAT_FORMAT_PEG_NATIVE;
data.supports_thinking = true;
data.thinking_start_tag = THINK_START;
data.thinking_end_tag = THINK_END;
data.preserved_tokens = {
TURN_START, TURN_END, CHATBOT, USER, SYSTEM,
THINK_START, THINK_END,
TEXT_START, TEXT_END,
ACTION_START, ACTION_END,
RESULT_START, RESULT_END,
};
// Split the rendered prompt into per-role message spans. Tool results are rendered with the
// system token followed by <|START_TOOL_RESULT|>, so the "tool" delimiter must be listed before
// the plain "system" one (it is a strict superset, and the role split tries delimiters in order).
data.message_spans = common_chat_split_by_role(data.prompt, {
{ "assistant", GEN_PREFIX },
{ "user", TURN_START + USER },
{ "tool", TURN_START + SYSTEM + RESULT_START },
{ "system", TURN_START + SYSTEM },
});
auto has_tools = inputs.tools.is_array() && !inputs.tools.empty();
auto extract_reasoning = inputs.reasoning_format != COMMON_REASONING_FORMAT_NONE;
auto include_grammar = has_tools && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE;
if (inputs.has_continuation()) {
const auto & msg = inputs.continue_msg;
data.generation_prompt = GEN_PREFIX + THINK_START + msg.reasoning_content;
if (inputs.continue_final_message == COMMON_CHAT_CONTINUATION_CONTENT) {
data.generation_prompt += THINK_END + TEXT_START + msg.render_content();
}
data.prompt += data.generation_prompt;
}
auto parser = build_chat_peg_parser([&](common_chat_peg_builder & p) {
auto generation_prompt = p.literal(GEN_PREFIX);
auto end = p.end();
// The thinking block is always present (the generation prompt forces <|START_THINKING|>).
// When extracting reasoning, capture its body; otherwise keep the whole block (markers
// included) inline as content, matching reasoning_format=NONE conventions.
common_peg_parser reasoning = p.eps();
if (extract_reasoning) {
reasoning = p.optional(p.literal(THINK_START) +
p.reasoning(p.until_one_of({ THINK_END, TEXT_START, ACTION_START })) +
p.optional(p.literal(THINK_END)));
} else {
reasoning = p.optional(p.content(p.literal(THINK_START) +
p.until_one_of({ THINK_END, TEXT_START, ACTION_START }) +
p.optional(p.literal(THINK_END))));
}
auto text_content = p.literal(TEXT_START) + p.content(p.until(TEXT_END)) + p.optional(p.literal(TEXT_END));
if (!has_tools || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
return generation_prompt + reasoning + text_content + p.optional(p.literal(TURN_END)) + end;
}
auto require_tools = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_REQUIRED;
// <|START_ACTION|>[ {"tool_call_id": "0", "tool_name": "f", "parameters": {...}}, ... ]<|END_ACTION|>
auto tool_calls = p.standard_json_tools(ACTION_START, ACTION_END, inputs.tools, inputs.parallel_tool_calls,
/* force_tool_calls = */ true,
/* name_key = */ "tool_name",
/* args_key = */ "parameters",
/* array_wrapped = */ true,
/* function_is_key = */ false,
/* call_id_key = */ "",
/* gen_call_id_key = */ "tool_call_id",
/* parameters_order = */ { "tool_call_id", "tool_name", "parameters" });
// Content and tool calls are mutually exclusive in this format.
common_peg_parser body = require_tools ? tool_calls : p.choice({ tool_calls, text_content });
return generation_prompt + reasoning + body + p.optional(p.literal(TURN_END)) + end;
});
data.parser = parser.save();
if (include_grammar) {
data.grammar_lazy = inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_AUTO;
data.grammar = build_grammar([&](const common_grammar_builder & builder) {
foreach_function(inputs.tools, [&](const json & tool) {
const auto & function = tool.at("function");
auto schema = function.at("parameters");
builder.resolve_refs(schema);
});
parser.build_grammar(builder, data.grammar_lazy);
});
data.grammar_triggers = {
{ COMMON_GRAMMAR_TRIGGER_TYPE_WORD, ACTION_START }
};
}
return data;
}
namespace workaround {
static void map_developer_role_to_system(json & messages) {
@@ -2227,6 +2367,15 @@ std::optional<common_chat_params> common_chat_try_specialized_template(
return common_chat_params_init_kimi_k2(tmpl, params);
}
// Cohere2 MoE / North Code - marker-wrapped format with <|START_TEXT|> content and
// <|START_ACTION|> JSON tool calls. <|START_TEXT|> is unique to this template (the older
// Command-R templates use <|START_RESPONSE|>).
if (src.find("<|START_TEXT|>") != std::string::npos &&
src.find("<|START_ACTION|>") != std::string::npos) {
LOG_DBG("Using specialized template: Cohere2 MoE\n");
return common_chat_params_init_cohere2moe(tmpl, params);
}
if (is_lfm2_template(src)) {
LOG_DBG("Using specialized template: LFM2\n");
return common_chat_params_init_lfm2(tmpl, params, /* tool_list_tokens = */ true);
+14 -6
View File
@@ -316,12 +316,22 @@ value filter_expression::execute_impl(context & ctx) {
JJ_DEBUG("Applying filter to %s", input->type().c_str());
auto set_filter_alias = [](auto & filter_id) {
if (filter_id == "count") {
filter_id = "length";
} else if (filter_id == "d") {
filter_id = "default";
} else if (filter_id == "e") {
filter_id = "escape";
} else if (filter_id == "trim") {
filter_id = "strip";
}
};
if (is_stmt<identifier>(filter)) {
auto filter_id = cast_stmt<identifier>(filter)->val;
if (filter_id == "trim") {
filter_id = "strip"; // alias
}
set_filter_alias(filter_id);
JJ_DEBUG("Applying filter '%s' to %s", filter_id.c_str(), input->type().c_str());
// TODO: Refactor filters so this coercion can be done automatically
if (!input->is_undefined() && !is_val<value_string>(input) && (
@@ -345,9 +355,7 @@ value filter_expression::execute_impl(context & ctx) {
}
auto filter_id = cast_stmt<identifier>(call->callee)->val;
if (filter_id == "trim") {
filter_id = "strip"; // alias
}
set_filter_alias(filter_id);
JJ_DEBUG("Applying filter '%s' with arguments to %s", filter_id.c_str(), input->type().c_str());
func_args args(ctx);
for (const auto & arg_expr : call->args) {
+10 -15
View File
@@ -1272,13 +1272,13 @@ common_peg_parser common_peg_parser_builder::string_content(char delimiter) {
common_peg_parser common_peg_parser_builder::double_quoted_string() {
return rule("double-quoted-string", [this]() {
return sequence({literal("\""), string_content('"'), literal("\""), space()});
return sequence({literal("\""), string_content('"'), literal("\"")});
});
}
common_peg_parser common_peg_parser_builder::single_quoted_string() {
return rule("single-quoted-string", [this]() {
return sequence({literal("'"), string_content('\''), literal("'"), space()});
return sequence({literal("'"), string_content('\''), literal("'")});
});
}
@@ -1301,25 +1301,25 @@ common_peg_parser common_peg_parser_builder::json_number() {
// At EOF in partial mode, chars returns NEED_MORE → negate propagates NEED_MORE → number not committed.
// This prevents premature commits of partial numbers (e.g. "3" when "3.14" is incoming).
auto not_number_continuation = negate(chars("[0-9.eE+-]", 1, 1));
return sequence({ optional(literal("-")), int_part, optional(frac), optional(exp), not_number_continuation, space() });
return sequence({ optional(literal("-")), int_part, optional(frac), optional(exp), not_number_continuation });
});
}
common_peg_parser common_peg_parser_builder::json_string() {
return rule("json-string", [this]() {
return sequence({literal("\""), string_content('"'), literal("\""), space()});
return sequence({literal("\""), string_content('"'), literal("\"")});
});
}
common_peg_parser common_peg_parser_builder::json_bool() {
return rule("json-bool", [this]() {
return sequence({choice({literal("true"), literal("false")}), space()});
return choice({literal("true"), literal("false")});
});
}
common_peg_parser common_peg_parser_builder::json_null() {
return rule("json-null", [this]() {
return sequence({literal("null"), space()});
return literal("null");
});
}
@@ -1334,8 +1334,7 @@ common_peg_parser common_peg_parser_builder::json_object() {
choice({
literal("}"),
sequence({members, ws, literal("}")})
}),
ws
})
});
});
}
@@ -1350,8 +1349,7 @@ common_peg_parser common_peg_parser_builder::json_array() {
choice({
literal("]"),
sequence({elements, ws, literal("]")})
}),
ws
})
});
});
}
@@ -1381,16 +1379,13 @@ common_peg_parser common_peg_parser_builder::python_number() {
common_peg_parser common_peg_parser_builder::python_bool() {
return rule("python-bool", [this]() {
return sequence({
choice({literal("True"), literal("False")}),
space()
});
return choice({literal("True"), literal("False")});
});
}
common_peg_parser common_peg_parser_builder::python_null() {
return rule("python-none", [this]() {
return sequence({literal("None"), space()});
return literal("None");
});
}
+4 -4
View File
@@ -25,7 +25,7 @@ import gguf
from gguf.constants import GGUFValueType
# reuse model definitions from the conversion/ package
from conversion import LazyTorchTensor, ModelBase, get_model_class
from conversion import LazyTorchTensor, ModelBase, get_model_class, ModelType, get_model_architecture
logger = logging.getLogger("lora-to-gguf")
@@ -396,12 +396,12 @@ if __name__ == '__main__':
hparams = ModelBase.load_hparams(dir_base_model, False)
with torch.inference_mode():
model_arch = get_model_architecture(hparams, ModelType.TEXT)
try:
model_arch = hparams.get("text_config", {}).get("architectures", hparams["architectures"])[0]
logger.info("Using model architecture: %s", model_arch)
model_class = get_model_class(model_arch)
logger.info("Using model architecture: %s", model_arch)
except NotImplementedError:
logger.error(f"Model {hparams['architectures'][0]} is not supported")
logger.error(f"Model {model_arch} is not supported")
sys.exit(1)
class LoraModel(model_class): # ty: ignore[unsupported-base]
+1 -1
View File
@@ -270,7 +270,7 @@ You have successfully set up CUDA on Fedora within a toolbox environment using t
---
**Disclaimer:** Manually installing and modifying system packages can lead to instability of the container. The above steps are provided as a guideline and may need adjustments based on your specific system configuration. Always back up important data before making significant system changes, especially as your home folder is writable and shared with he toolbox.
**Disclaimer:** Manually installing and modifying system packages can lead to instability of the container. The above steps are provided as a guideline and may need adjustments based on your specific system configuration. Always back up important data before making significant system changes, especially as your home folder is writable and shared with the toolbox.
**Acknowledgments:** Special thanks to the Fedora community and NVIDIA documentation for providing resources that assisted in creating this guide.
+2 -1
View File
@@ -24,6 +24,7 @@ Legend:
| ARGSORT | ❌ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ |
| CEIL | ❌ | ❌ | ✅ | 🟡 | ✅ | ❌ | ✅ | ✅ | ✅ | ❌ | ❌ |
| CLAMP | ❌ | ✅ | ✅ | ✅ | ✅ | 🟡 | 🟡 | 🟡 | ✅ | ❌ | ❌ |
| COL2IM_1D | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ |
| CONCAT | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | ✅ | ✅ | ❌ | ❌ |
| CONT | ❌ | 🟡 | ✅ | ✅ | ✅ | 🟡 | 🟡 | ✅ | 🟡 | ❌ | ❌ |
| CONV_2D | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ |
@@ -77,7 +78,7 @@ Legend:
| OUT_PROD | 🟡 | 🟡 | 🟡 | 🟡 | ❌ | ❌ | 🟡 | ❌ | ❌ | ❌ | 🟡 |
| PAD | ❌ | 🟡 | ✅ | 🟡 | 🟡 | 🟡 | 🟡 | ✅ | ✅ | ❌ | ❌ |
| PAD_REFLECT_1D | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | ❌ |
| POOL_1D | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | | ❌ | ❌ | ❌ | ❌ |
| POOL_1D | ❌ | ❌ | ✅ | ❌ | ✅ | ❌ | | ❌ | ❌ | ❌ | ❌ |
| POOL_2D | ❌ | 🟡 | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | ❌ |
| REGLU | ❌ | ✅ | ✅ | ✅ | 🟡 | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ |
| RELU | ❌ | ✅ | ✅ | 🟡 | ✅ | 🟡 | ✅ | ✅ | ✅ | ❌ | ❌ |
+227 -84
View File
@@ -582,42 +582,42 @@
"SYCL0","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q8_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q8_0,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,1,1],nr23=[2,3],r=2,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,7,1],nr23=[2,3],r=2,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,7,1],nr23=[2,3],r=2,v=1","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q1_0,type_idx=i64,ne=[384,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=mxfp4,type_idx=i64,ne=[96,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,1,1],nr23=[2,3],r=2,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,1,1],nr23=[2,3],r=2,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,7,1],nr23=[2,3],r=2,v=0","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,5,7,3],nr23=[1,1],r=1,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[256,11,1,7],nr23=[2,3],r=7,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=nvfp4,type_idx=i64,ne=[192,3,7,1],nr23=[2,3],r=2,v=1","support","1","yes","SYCL"
"SYCL0","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,5,1,3],nr23=[1,1],r=1,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q2_K,type_idx=i64,ne=[256,11,1,1],nr23=[2,3],r=7,v=0","support","0","no","SYCL"
"SYCL0","SET_ROWS","type=q2_K,type_idx=i64,ne=[768,3,1,1],nr23=[2,3],r=2,v=0","support","0","no","SYCL"
@@ -914,57 +914,58 @@
"SYCL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=0,p1=1","support","1","yes","SYCL"
"SYCL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=0","support","1","yes","SYCL"
"SYCL0","POOL_2D","pool_type=max,type_input=f32,ne_input=[10,10,3,1],k0=3,k1=3,s0=2,s1=2,p0=1,p1=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","0","no","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=avg,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=1,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=1,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=1,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=1,s0=2,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=1,s0=2,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=1,s0=2,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=1,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=1,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=1,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=0","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[10,3,2,1],k0=3,s0=2,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[11,1,3,2],k0=3,s0=2,p0=1","support","1","yes","SYCL"
"SYCL0","POOL_1D","pool_type=max,type_input=f32,ne_input=[128,2,1,3],k0=3,s0=2,p0=1","support","1","yes","SYCL"
"SYCL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","SYCL"
"SYCL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","SYCL"
"SYCL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[3000,128,1,1],ne_kernel=[3,128,1280,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","SYCL"
"SYCL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[3000,384,1,1],ne_kernel=[3,384,384,1],s0=1,s1=0,p0=1,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","SYCL"
"SYCL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=1,s1=0,p0=0,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","SYCL"
"SYCL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=1,s1=0,p0=0,p1=0,d0=3,d1=0,is_2D=0","support","1","yes","SYCL"
"SYCL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[20,2,2,1],ne_kernel=[3,2,2,1],s0=1,s1=0,p0=3,p1=0,d0=1,d1=0,is_2D=0","support","1","yes","SYCL"
@@ -1050,6 +1051,8 @@
"SYCL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[12,12,2,2560],ne_kernel=[3,3,2,2560],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","SYCL"
"SYCL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[5,5,1,32],ne_kernel=[3,4,1,32],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","SYCL"
"SYCL0","IM2COL","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[2,2,1536,729],ne_kernel=[2,2,1536,4096],s0=1,s1=1,p0=0,p1=0,d0=1,d1=1,is_2D=1","support","1","yes","SYCL"
"SYCL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[128,128,1,2],ne_kernel=[32,33,1,2],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","SYCL"
"SYCL0","IM2COL","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[128,128,2,1],ne_kernel=[33,34,2,1],s0=1,s1=1,p0=1,p1=1,d0=1,d1=1,is_2D=1","support","1","yes","SYCL"
"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f32,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","SYCL"
"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f32,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","SYCL"
"SYCL0","IM2COL_3D","type_input=f32,type_kernel=f16,dst_type=f16,ne_input=[10,10,10,9],ne_kernel=[3,3,3,1],IC=3,s0=1,s1=1,s2=1,p0=1,p1=1,p2=1,d0=1,d1=1,d2=1,v=0","support","1","yes","SYCL"
@@ -5047,6 +5050,39 @@
"SYCL0","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,2,2,1],s0=1,p0=0,d0=1","support","1","yes","SYCL"
"SYCL0","CONV_TRANSPOSE_1D","ne_input=[3,2,1,1],ne_kernel=[3,1,2,1],s0=1,p0=0,d0=1","support","1","yes","SYCL"
"SYCL0","CONV_TRANSPOSE_1D","ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1","support","1","yes","SYCL"
"SYCL0","COL2IM_1D","type=f32,K=16,OC=32,T_in=197,s0=8,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f32,K=4,OC=3,T_in=7,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f32,K=1,OC=5,T_in=13,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f32,K=6,OC=4,T_in=11,s0=3,p0=1","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f32,K=2,OC=3,T_in=9,s0=3,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f32,K=5,OC=4,T_in=11,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f32,K=8,OC=4,T_in=13,s0=4,p0=2","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f32,K=4,OC=3,T_in=1,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f32,K=16,OC=1,T_in=197,s0=8,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f32,K=1,OC=5,T_in=13,s0=3,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f32,K=8,OC=2,T_in=3,s0=2,p0=5","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f16,K=16,OC=32,T_in=197,s0=8,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f16,K=4,OC=3,T_in=7,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f16,K=1,OC=5,T_in=13,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f16,K=6,OC=4,T_in=11,s0=3,p0=1","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f16,K=2,OC=3,T_in=9,s0=3,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f16,K=5,OC=4,T_in=11,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f16,K=8,OC=4,T_in=13,s0=4,p0=2","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f16,K=4,OC=3,T_in=1,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f16,K=16,OC=1,T_in=197,s0=8,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f16,K=1,OC=5,T_in=13,s0=3,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=f16,K=8,OC=2,T_in=3,s0=2,p0=5","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=bf16,K=16,OC=32,T_in=197,s0=8,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=bf16,K=4,OC=3,T_in=7,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=bf16,K=1,OC=5,T_in=13,s0=1,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=bf16,K=6,OC=4,T_in=11,s0=3,p0=1","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=bf16,K=2,OC=3,T_in=9,s0=3,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=bf16,K=5,OC=4,T_in=11,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=bf16,K=8,OC=4,T_in=13,s0=4,p0=2","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=bf16,K=4,OC=3,T_in=1,s0=2,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=bf16,K=16,OC=1,T_in=197,s0=8,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=bf16,K=1,OC=5,T_in=13,s0=3,p0=0","support","0","no","SYCL"
"SYCL0","COL2IM_1D","type=bf16,K=8,OC=2,T_in=3,s0=2,p0=5","support","0","no","SYCL"
"SYCL0","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[3,2,3,1],ne_kernel=[2,2,1,3],stride=1","support","0","no","SYCL"
"SYCL0","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[10,10,9,1],ne_kernel=[3,3,1,9],stride=2","support","0","no","SYCL"
"SYCL0","CONV_TRANSPOSE_2D","kernel_type=f32,ne_input=[129,63,35,1],ne_kernel=[3,3,48,35],stride=1","support","0","no","SYCL"
@@ -6185,6 +6221,7 @@
"SYCL0","MUL_MAT_HADAMARD","type_a=f32,type_b=f32,m=128,n=1,k=128,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
"SYCL0","MUL_MAT_HADAMARD","type_a=f32,type_b=f32,m=64,n=1,k=64,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
"SYCL0","MUL_MAT_HADAMARD","type_a=f32,type_b=f32,m=256,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
"SYCL0","MUL_MAT_HADAMARD","type_a=f32,type_b=f32,m=512,n=1,k=512,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
"SYCL0","MUL_MAT_HADAMARD","type_a=f32,type_b=f32,m=128,n=32,k=128,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
"SYCL0","MUL_MAT_HADAMARD","type_a=f32,type_b=f32,m=128,n=4,k=128,bs=[2,3],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
"SYCL0","MUL_MAT","type_a=f32,type_b=f32,m=16,n=1,k=256,bs=[1,1],nr=[1,1],per=[0,1,2,3],k_v=0,o=1","support","1","yes","SYCL"
@@ -7603,6 +7640,31 @@
"SYCL0","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=16,n_used=16,b=1,m=50,n=200,k=64","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=1,n_used=1,b=0,m=8,n=16,k=1","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=32,n_used=2,b=0,m=2880,n=32,k=2880","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=3","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=f16,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=3","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=bf16,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=3","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=q4_0,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=96","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=q4_1,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=96","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=q5_0,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=96","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=q5_1,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=96","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=q8_0,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=96","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=q1_0,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=384","support","0","no","SYCL"
"SYCL0","MUL_MAT_ID","type_a=mxfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=96","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=nvfp4,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=192","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=q2_K,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=768","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=q3_K,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=768","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=q4_K,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=768","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=q5_K,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=768","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=q6_K,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=768","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=iq2_xxs,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=768","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=iq2_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=768","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=iq2_s,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=768","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=iq3_xxs,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=768","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=iq1_s,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=768","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=iq1_m,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=768","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=iq4_nl,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=96","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=iq3_s,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=768","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=iq4_xs,type_b=f32,n_mats=4,n_used=2,b=0,m=64,n=16,k=768","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=1,k=256","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=4,k=256","support","1","yes","SYCL"
"SYCL0","MUL_MAT_ID","type_a=f32,type_b=f32,n_mats=4,n_used=1,b=0,m=512,n=5,k=256","support","1","yes","SYCL"
@@ -10845,37 +10907,117 @@
"SYCL0","ROPE","type=f16,ne_a=[128,32,2,1],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
"SYCL0","ROPE","type=f16,ne_a=[128,32,2,3],n_dims=128,mode=24,n_ctx=512,fs=1.424500,ef=0.746500,af=1.424500,ff=1,v=1,inplace=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=0","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=1","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=2","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=0,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=1,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=2,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=f16,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=bf16,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i8,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i16,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i32,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","1","yes","SYCL"
"SYCL0","CONCAT","type=i64,ne_a=[11,12,13,14],ne_b_d=7,dim=3,v=3","support","1","yes","SYCL"
"SYCL0","ARGSORT","type=f32,ne=[3,1,1,1],order=0","support","1","yes","SYCL"
"SYCL0","ARGSORT","type=f32,ne=[4,1,1,1],order=0","support","1","yes","SYCL"
"SYCL0","ARGSORT","type=f32,ne=[7,1,1,1],order=0","support","1","yes","SYCL"
@@ -16515,6 +16657,7 @@
"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=128,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q4_0,type_V=f16,permute=[0,1,2,3]","support","1","yes","SYCL"
"SYCL0","FLASH_ATTN_EXT","hsk=72,hsv=72,nh=4,nr23=[1,1],kv=96,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q4_0,type_V=q8_0,permute=[0,1,2,3]","support","1","yes","SYCL"
"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=64,nh=4,nr23=[1,1],kv=96,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=f16,type_V=f32,permute=[0,1,2,3]","support","1","yes","SYCL"
"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=256,nb=1,mask=0,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=f16,type_V=q4_0,permute=[0,1,2,3]","support","1","yes","SYCL"
"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=128,nh=4,nr23=[1,1],kv=96,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q1_0,type_V=q1_0,permute=[0,1,2,3]","support","0","no","SYCL"
"SYCL0","FLASH_ATTN_EXT","hsk=128,hsv=64,nh=4,nr23=[1,1],kv=128,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q1_0,type_V=q4_0,permute=[0,1,2,3]","support","0","no","SYCL"
"SYCL0","FLASH_ATTN_EXT","hsk=64,hsv=128,nh=4,nr23=[1,1],kv=128,nb=2,mask=1,sinks=0,max_bias=0.000000,logit_softcap=0.000000,prec=f32,type_K=q4_0,type_V=q1_0,permute=[0,1,2,3]","support","0","no","SYCL"
Can't render this file because it is too large.
+35 -5
View File
@@ -3,15 +3,45 @@
# Copyright (C) 2024 Intel Corporation
# SPDX-License-Identifier: MIT
print_usage() {
echo "Usage: ./build.sh [fp32|fp16] [--help]"
echo ""
echo "Options:"
echo " fp32 Build with FP32 precision (default)"
echo " fp16 Build with FP16 precision (faster for long-prompt inference)"
echo " --help Print this help message"
}
PRECISION=fp32
for arg in "$@"; do
case "$arg" in
--help)
print_usage
exit 0
;;
fp32|fp16)
PRECISION="$arg"
;;
*)
echo "Error: unknown option '$arg'"
print_usage
exit 1
;;
esac
done
mkdir -p build
cd build
source /opt/intel/oneapi/setvars.sh
#for FP16
#cmake .. -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON -DLLAMA_OPENSSL=OFF # faster for long-prompt inference
#for FP32
cmake .. -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_OPENSSL=OFF
if [ "$PRECISION" = "fp16" ]; then
#for FP16
cmake .. -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON -DLLAMA_OPENSSL=OFF # faster for long-prompt inference
else
#for FP32
cmake .. -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_OPENSSL=OFF
fi
#build example/main
#cmake --build . --config Release --target main
+25 -6
View File
@@ -3,6 +3,23 @@
:: Copyright (C) 2024 Intel Corporation
:: SPDX-License-Identifier: MIT
IF /I "%1"=="--help" (
echo Usage: win-build-sycl.bat [fp32^|fp16] [--help]
echo.
echo Options:
echo fp32 Build with FP32 precision ^(default^)
echo fp16 Build with FP16 precision ^(faster for long-prompt inference^)
echo --help Print this help message
exit /B 0
)
SET PRECISION=%1
IF "%PRECISION%"=="" SET PRECISION=fp32
IF /I NOT "%PRECISION%"=="fp32" IF /I NOT "%PRECISION%"=="fp16" (
echo Error: invalid value '%PRECISION%'. Use 'fp32' or 'fp16'.
echo Usage: win-build-sycl.bat [fp32^|fp16] [--help]
exit /B 1
)
IF not exist build (mkdir build)
cd build
@@ -11,12 +28,14 @@ if %errorlevel% neq 0 goto ERROR
@call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64 --force
if %errorlevel% neq 0 goto ERROR
:: for FP16
:: faster for long-prompt inference
:: cmake -G "MinGW Makefiles" .. -DLLAMA_OPENSSL=OFF -DGGML_SYCL=ON -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DGGML_SYCL_F16=ON
:: for FP32
cmake -G "Ninja" .. -DLLAMA_OPENSSL=OFF -DGGML_SYCL=ON -DCMAKE_C_COMPILER=cl -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release
IF /I "%PRECISION%"=="fp16" (
:: for FP16
:: faster for long-prompt inference
cmake -G "MinGW Makefiles" .. -DLLAMA_OPENSSL=OFF -DGGML_SYCL=ON -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DGGML_SYCL_F16=ON
) ELSE (
:: for FP32
cmake -G "Ninja" .. -DLLAMA_OPENSSL=OFF -DGGML_SYCL=ON -DCMAKE_C_COMPILER=cl -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release
)
if %errorlevel% neq 0 goto ERROR
:: build all binary
-1
View File
@@ -293,7 +293,6 @@
#define ggml_gemm_q8_0_4x8_q8_0_generic ggml_gemm_q8_0_4x8_q8_0
#elif defined(__wasm__)
// quants.c
#define ggml_vec_dot_q4_1_q8_1_generic ggml_vec_dot_q4_1_q8_1
#define ggml_vec_dot_tq1_0_q8_K_generic ggml_vec_dot_tq1_0_q8_K
#define ggml_vec_dot_tq2_0_q8_K_generic ggml_vec_dot_tq2_0_q8_K
#define ggml_vec_dot_iq2_xxs_q8_K_generic ggml_vec_dot_iq2_xxs_q8_K
+2 -1
View File
@@ -5337,8 +5337,9 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g
} break;
case GGML_OP_REPEAT:
{
// the CUDA REPEAT path only implements F32/F16; other types assert at runtime
ggml_type src0_type = op->src[0]->type;
return src0_type != GGML_TYPE_I32 && src0_type != GGML_TYPE_I16;
return src0_type == GGML_TYPE_F32 || src0_type == GGML_TYPE_F16;
} break;
case GGML_OP_REPEAT_BACK:
return op->type == GGML_TYPE_F32 && (op->src[0]->ne[2]*op->src[0]->ne[3]) <= (1 << 15);
+3
View File
@@ -1418,6 +1418,9 @@ typedef decltype(kernel_repeat<float>) kernel_repeat_t;
template [[host_name("kernel_repeat_f32")]] kernel kernel_repeat_t kernel_repeat<float>;
template [[host_name("kernel_repeat_f16")]] kernel kernel_repeat_t kernel_repeat<half>;
#if defined(GGML_METAL_HAS_BF16)
template [[host_name("kernel_repeat_bf16")]] kernel kernel_repeat_t kernel_repeat<bfloat>;
#endif
template [[host_name("kernel_repeat_i32")]] kernel kernel_repeat_t kernel_repeat<int>;
template [[host_name("kernel_repeat_i16")]] kernel kernel_repeat_t kernel_repeat<short>;
+2 -4
View File
@@ -59,7 +59,7 @@ bool gpu_has_xmx(sycl::device &dev) {
return dev.has(sycl::aspect::ext_intel_matrix);
}
static int ggml_sycl_get_env(const char *env_name, int default_val) {
int ggml_sycl_get_env(const char *env_name, int default_val) {
char *user_device_string = getenv(env_name);
int user_number = default_val;
@@ -86,7 +86,7 @@ int64_t downsample_sycl_global_range(int64_t accumulate_block_num, int64_t block
#ifdef GGML_SYCL_SUPPORT_LEVEL_ZERO
static bool ggml_sycl_use_level_zero_device_alloc(sycl::queue &q) {
return ggml_sycl_get_env("GGML_SYCL_ENABLE_LEVEL_ZERO", 1) &&
return g_ggml_sycl_enable_level_zero &&
q.get_device().is_gpu() &&
q.get_backend() == sycl::backend::ext_oneapi_level_zero;
}
@@ -94,8 +94,6 @@ static bool ggml_sycl_use_level_zero_device_alloc(sycl::queue &q) {
// Use Level Zero zeMemAllocDevice to avoid sycl::malloc_device triggering
// DMA-buf/TTM system RAM staging in the xe kernel driver during multi-GPU inference.
// The decision is made from the queue and runtime env because large buffers can be
// allocated before ggml_check_sycl() initializes g_ggml_sycl_enable_level_zero.
void * ggml_sycl_malloc_device(size_t size, sycl::queue &q) {
#ifdef GGML_SYCL_SUPPORT_LEVEL_ZERO
if (ggml_sycl_use_level_zero_device_alloc(q)) {
+3
View File
@@ -225,6 +225,7 @@ struct sycl_device_info {
int max_wg_per_cu; // max work groups per compute unit - refer to
// cudaOccupancyMaxActiveBlocksPerMultiprocessor
bool vmm; // virtual memory support
bool l0_discrete_gpu; // Level Zero backend and not an integrated GPU
size_t vmm_granularity; // granularity of virtual memory
size_t total_vram;
sycl_hw_info hw_info;
@@ -644,6 +645,8 @@ constexpr size_t ceil_div(const size_t m, const size_t n) {
bool gpu_has_xmx(sycl::device &dev);
int ggml_sycl_get_env(const char *env_name, int default_val);
template <int N, class T> std::string debug_get_array_str(const std::string & prefix, const T array[N]) {
if (LIKELY(!g_ggml_sycl_debug)) {
return "";
+281
View File
@@ -48,6 +48,287 @@ inline void cpy_blck_f32_q8_0(const char * cxi, char * cdsti) {
}
}
inline void cpy_blck_f32_q1_0(const char * cxi, char * cdsti) {
const float * xi = (const float *) cxi;
block_q1_0 * dsti = (block_q1_0 *) cdsti;
float sum_abs = 0.0f;
for (int j = 0; j < QK1_0; ++j) {
sum_abs += sycl::fabs((float) xi[j]);
}
dsti->d = sum_abs / QK1_0;
for (int j = 0; j < QK1_0 / 8; ++j) {
dsti->qs[j] = 0;
}
for (int j = 0; j < QK1_0; ++j) {
if (xi[j] >= 0.0f) {
dsti->qs[j / 8] |= (1u << (j % 8));
}
}
}
inline int best_index_mxfp4(const float x, const float e) {
int best_index = 0;
float best_err = sycl::fabs((float) (kvalues_mxfp4[0] * e - x));
for (int i = 1; i < 16; ++i) {
const float err = sycl::fabs((float) (kvalues_mxfp4[i] * e - x));
if (err < best_err) {
best_index = i;
best_err = err;
}
}
return best_index;
}
inline int nearest_int_sycl(float x) {
const float val = x + 12582912.0f;
int i;
memcpy(&i, &val, sizeof(int));
return (i & 0x007fffff) - 0x00400000;
}
inline int nearest_int_ggml_sycl(float x) {
return (int) sycl::round((float) x);
}
inline uint8_t clamp_u8(const int x, const int lo, const int hi) {
return (uint8_t) dpct::max(lo, dpct::min(hi, x));
}
inline int8_t clamp_i8(const int x, const int lo, const int hi) {
return (int8_t) dpct::max(lo, dpct::min(hi, x));
}
constexpr float GROUP_MAX_EPS_SYCL = 1e-15f;
inline float make_qx_quants_sycl(int n, int nmax, const float * x, int8_t * L, int rmse_type, const float * qw) {
float max = 0.0f;
float amax = 0.0f;
for (int i = 0; i < n; ++i) {
const float ax = sycl::fabs(x[i]);
if (ax > amax) {
amax = ax;
max = x[i];
}
}
if (amax < GROUP_MAX_EPS_SYCL) {
for (int i = 0; i < n; ++i) {
L[i] = 0;
}
return 0.0f;
}
float iscale = -nmax / max;
if (rmse_type == 0) {
for (int i = 0; i < n; ++i) {
int l = nearest_int_ggml_sycl(iscale * x[i]);
L[i] = (int8_t) (nmax + dpct::max(-nmax, dpct::min(nmax - 1, l)));
}
return 1.0f / iscale;
}
bool return_early = false;
if (rmse_type < 0) {
rmse_type = -rmse_type;
return_early = true;
}
float sumlx = 0.0f;
float suml2 = 0.0f;
for (int i = 0; i < n; ++i) {
int l = nearest_int_ggml_sycl(iscale * x[i]);
l = dpct::max(-nmax, dpct::min(nmax - 1, l));
L[i] = (int8_t) (l + nmax);
const float w = qw ? qw[i] : (rmse_type == 1 ? x[i] * x[i] :
rmse_type == 2 ? 1.0f : rmse_type == 3 ? sycl::fabs(x[i]) : sycl::sqrt(sycl::fabs(x[i])));
sumlx += w * x[i] * l;
suml2 += w * l * l;
}
float scale = suml2 ? sumlx / suml2 : 0.0f;
if (return_early) {
return suml2 > 0.0f ? 0.5f * (scale + 1.0f / iscale) : 1.0f / iscale;
}
float best = scale * sumlx;
for (int is = -9; is <= 9; ++is) {
if (is == 0) {
continue;
}
iscale = -(nmax + 0.1f * is) / max;
sumlx = 0.0f;
suml2 = 0.0f;
for (int i = 0; i < n; ++i) {
int l = nearest_int_ggml_sycl(iscale * x[i]);
l = dpct::max(-nmax, dpct::min(nmax - 1, l));
const float w = qw ? qw[i] : (rmse_type == 1 ? x[i] * x[i] :
rmse_type == 2 ? 1.0f : rmse_type == 3 ? sycl::fabs(x[i]) : sycl::sqrt(sycl::fabs(x[i])));
sumlx += w * x[i] * l;
suml2 += w * l * l;
}
if (suml2 > 0.0f && sumlx * sumlx > best * suml2) {
for (int i = 0; i < n; ++i) {
int l = nearest_int_ggml_sycl(iscale * x[i]);
L[i] = (int8_t) (nmax + dpct::max(-nmax, dpct::min(nmax - 1, l)));
}
scale = sumlx / suml2;
best = scale * sumlx;
}
}
return scale;
}
inline float make_q3_quants_sycl(int n, int nmax, const float * x, int8_t * L, bool do_rmse) {
float max = 0.0f;
float amax = 0.0f;
for (int i = 0; i < n; ++i) {
const float ax = sycl::fabs(x[i]);
if (ax > amax) {
amax = ax;
max = x[i];
}
}
if (amax < GROUP_MAX_EPS_SYCL) {
for (int i = 0; i < n; ++i) {
L[i] = 0;
}
return 0.0f;
}
const float iscale = -nmax / max;
if (do_rmse) {
float sumlx = 0.0f;
float suml2 = 0.0f;
for (int i = 0; i < n; ++i) {
int l = nearest_int_ggml_sycl(iscale * x[i]);
l = dpct::max(-nmax, dpct::min(nmax - 1, l));
L[i] = (int8_t) l;
const float w = x[i] * x[i];
sumlx += w * x[i] * l;
suml2 += w * l * l;
}
for (int itry = 0; itry < 5; ++itry) {
int n_changed = 0;
for (int i = 0; i < n; ++i) {
const float w = x[i] * x[i];
float slx = sumlx - w * x[i] * L[i];
if (slx > 0.0f) {
float sl2 = suml2 - w * L[i] * L[i];
int new_l = nearest_int_ggml_sycl(x[i] * sl2 / slx);
new_l = dpct::max(-nmax, dpct::min(nmax - 1, new_l));
if (new_l != L[i]) {
slx += w * x[i] * new_l;
sl2 += w * new_l * new_l;
if (sl2 > 0.0f && slx * slx * suml2 > sumlx * sumlx * sl2) {
L[i] = (int8_t) new_l;
sumlx = slx;
suml2 = sl2;
++n_changed;
}
}
}
}
if (!n_changed) {
break;
}
}
for (int i = 0; i < n; ++i) {
L[i] += nmax;
}
return suml2 > 0.0f ? sumlx / suml2 : 0.0f;
}
for (int i = 0; i < n; ++i) {
int l = nearest_int_ggml_sycl(iscale * x[i]);
l = dpct::max(-nmax, dpct::min(nmax - 1, l));
L[i] = (int8_t) (l + nmax);
}
return 1.0f / iscale;
}
inline void set_scale_min_k4(int j, uint8_t * q, uint8_t d, uint8_t m) {
if (j < 4) {
q[j] = (q[j] & 0xC0) | (d & 0x3F);
q[j + 4] = (q[j + 4] & 0xC0) | (m & 0x3F);
} else {
q[j + 4] = (d & 0x0F) | ((m & 0x0F) << 4);
q[j - 4] = (q[j - 4] & 0x3F) | ((d >> 4) << 6);
q[j - 0] = (q[j - 0] & 0x3F) | ((m >> 4) << 6);
}
}
inline void get_scale_min_k4_local(int j, const uint8_t * q, uint8_t & d, uint8_t & m) {
if (j < 4) {
d = q[j] & 63;
m = q[j + 4] & 63;
} else {
d = (q[j + 4] & 0xF) | ((q[j - 4] >> 6) << 4);
m = (q[j + 4] >> 4) | ((q[j - 0] >> 6) << 4);
}
}
inline void cpy_blck_f32_mxfp4(const char * cxi, char * cdsti) {
const float * xi = (const float *) cxi;
block_mxfp4 * dsti = (block_mxfp4 *) cdsti;
float amax = 0.0f;
for (int j = 0; j < QK_MXFP4; ++j) {
amax = sycl::fmax(amax, sycl::fabs((float) xi[j]));
}
const uint8_t e = amax > 0.0f ? (uint8_t) (sycl::floor(sycl::log2(amax)) - 2 + 127) : 0;
const float d = GGML_E8M0_TO_FP32_HALF(e);
dsti->e = e;
for (int j = 0; j < QK_MXFP4 / 2; ++j) {
const uint8_t x0 = best_index_mxfp4(xi[0 + j], d);
const uint8_t x1 = best_index_mxfp4(xi[QK_MXFP4 / 2 + j], d);
dsti->qs[j] = x0;
dsti->qs[j] |= x1 << 4;
}
}
inline void cpy_blck_f32_nvfp4(const char * cxi, char * cdsti) {
const float * xi = (const float *) cxi;
block_nvfp4 * dsti = (block_nvfp4 *) cdsti;
constexpr int n_sub = QK_NVFP4 / QK_NVFP4_SUB;
for (int s = 0; s < n_sub; ++s) {
const float * xb = xi + s * QK_NVFP4_SUB;
float amax = 0.0f;
for (int j = 0; j < QK_NVFP4_SUB; ++j) {
amax = sycl::fmax(amax, sycl::fabs((float) xb[j]));
}
const uint8_t ue = ggml_fp32_to_ue4m3(amax / 6.0f);
dsti->d[s] = ue;
const float d = ggml_ue4m3_to_fp32(ue);
for (int j = 0; j < QK_NVFP4_SUB / 2; ++j) {
const uint8_t x0 = best_index_mxfp4(xb[0 + j], d);
const uint8_t x1 = best_index_mxfp4(xb[QK_NVFP4_SUB / 2 + j], d);
dsti->qs[s * (QK_NVFP4_SUB / 2) + j] = x0 | (x1 << 4);
}
}
}
inline void cpy_blck_f32_q4_0(const char * cxi, char * cdsti) {
const float * xi = (const float *) cxi;
block_q4_0 * dsti = (block_q4_0 *) cdsti;
File diff suppressed because it is too large Load Diff
+53 -147
View File
@@ -70,6 +70,7 @@
#include "ggml-sycl/diag.hpp"
#include "ggml-sycl/solve_tri.hpp"
#include "ggml-sycl/gated_delta_net.hpp"
#include "ggml-sycl/pool.hpp"
static bool g_sycl_loaded = false;
int g_ggml_sycl_debug = 0;
@@ -147,11 +148,31 @@ static ggml_sycl_device_info ggml_sycl_init() {
GGML_LOG_WARN("SYCL GPU device %d does not use Level Zero backend, disabling Level Zero memory API\n", i);
info.ext_oneapi_level_zero = false;
}
#ifdef GGML_SYCL_SUPPORT_LEVEL_ZERO
if (info.ext_oneapi_level_zero && device.is_gpu() && device.default_queue().get_backend() == sycl::backend::ext_oneapi_level_zero) {
ze_device_handle_t ze_dev = sycl::get_native<sycl::backend::ext_oneapi_level_zero>(device.default_queue().get_device());
ze_device_properties_t props = {};
props.stype = ZE_STRUCTURE_TYPE_DEVICE_PROPERTIES;
ze_result_t r = zeDeviceGetProperties(ze_dev, &props);
info.devices[i].l0_discrete_gpu = r == ZE_RESULT_SUCCESS && !(props.flags & ZE_DEVICE_PROPERTY_FLAG_INTEGRATED);
}
#endif
}
for (int id = 0; id < info.device_count; ++id) {
info.default_tensor_split[id] /= total_vram;
}
#ifdef GGML_SYCL_SUPPORT_LEVEL_ZERO
// Large buffers can be allocated before ggml_check_sycl() initializes other
// g_ggml_sycl_enable_* globals, so initialize this one as early as we can.
g_ggml_sycl_enable_level_zero =
info.ext_oneapi_level_zero && ggml_sycl_get_env("GGML_SYCL_ENABLE_LEVEL_ZERO", 1);
#else
g_ggml_sycl_enable_level_zero = 0;
#endif
return info;
}
@@ -236,38 +257,19 @@ void ggml_backend_sycl_print_sycl_devices() {
print_device_opt_feature(device_count);
}
static inline int get_sycl_env(const char *env_name, int default_val) {
char *user_device_string = getenv(env_name);
int user_number = default_val;
unsigned n;
if (user_device_string != NULL &&
sscanf(user_device_string, " %u", &n) == 1) {
user_number = (int)n;
} else {
user_number = default_val;
}
return user_number;
}
static void ggml_check_sycl() try {
static bool initialized = false;
if (!initialized) {
g_ggml_sycl_debug = get_sycl_env("GGML_SYCL_DEBUG", 0);
g_ggml_sycl_disable_optimize = get_sycl_env("GGML_SYCL_DISABLE_OPT", 0);
g_ggml_sycl_disable_graph = get_sycl_env("GGML_SYCL_DISABLE_GRAPH", 1);
g_ggml_sycl_disable_dnn = get_sycl_env("GGML_SYCL_DISABLE_DNN", 0);
g_ggml_sycl_enable_vmm = get_sycl_env("GGML_SYCL_ENABLE_VMM", 1);
g_ggml_sycl_prioritize_dmmv = get_sycl_env("GGML_SYCL_PRIORITIZE_DMMV", 0);
#ifdef GGML_SYCL_SUPPORT_LEVEL_ZERO
g_ggml_sycl_enable_level_zero = get_sycl_env("GGML_SYCL_ENABLE_LEVEL_ZERO", ggml_sycl_info().ext_oneapi_level_zero);
#else
g_ggml_sycl_enable_level_zero = 0;
#endif
g_ggml_sycl_debug = ggml_sycl_get_env("GGML_SYCL_DEBUG", 0);
g_ggml_sycl_disable_optimize = ggml_sycl_get_env("GGML_SYCL_DISABLE_OPT", 0);
g_ggml_sycl_disable_graph = ggml_sycl_get_env("GGML_SYCL_DISABLE_GRAPH", 1);
g_ggml_sycl_disable_dnn = ggml_sycl_get_env("GGML_SYCL_DISABLE_DNN", 0);
g_ggml_sycl_enable_vmm = ggml_sycl_get_env("GGML_SYCL_ENABLE_VMM", 1);
g_ggml_sycl_prioritize_dmmv = ggml_sycl_get_env("GGML_SYCL_PRIORITIZE_DMMV", 0);
#ifdef SYCL_FLASH_ATTN
g_ggml_sycl_enable_flash_attention = get_sycl_env("GGML_SYCL_ENABLE_FLASH_ATTN", 1);
g_ggml_sycl_enable_flash_attention = ggml_sycl_get_env("GGML_SYCL_ENABLE_FLASH_ATTN", 1);
#else
g_ggml_sycl_enable_flash_attention = 0;
#endif
@@ -330,7 +332,7 @@ static void ggml_check_sycl() try {
GGML_LOG_INFO(" GGML_SYCL_ENABLE_VMM: virtual memory extension is not available\n");
#endif
GGML_LOG_INFO(" GGML_SYCL_PRIORITIZE_DMMV: %d\n", g_ggml_sycl_prioritize_dmmv);
g_ggml_sycl_use_async_mem_op_requested = get_sycl_env("GGML_SYCL_USE_ASYNC_MEM_OP", 1);
g_ggml_sycl_use_async_mem_op_requested = ggml_sycl_get_env("GGML_SYCL_USE_ASYNC_MEM_OP", 1);
GGML_LOG_INFO(" GGML_SYCL_USE_ASYNC_MEM_OP: %d\n", g_ggml_sycl_use_async_mem_op_requested);
#ifdef SYCL_FLASH_ATTN
@@ -569,26 +571,18 @@ catch (sycl::exception const &exc) {
}
#ifdef GGML_SYCL_SUPPORT_LEVEL_ZERO
static bool ggml_sycl_is_l0_discrete_gpu(sycl::queue &q) {
if (!q.get_device().is_gpu() || q.get_backend() != sycl::backend::ext_oneapi_level_zero) {
return false;
}
ze_device_handle_t ze_dev = sycl::get_native<sycl::backend::ext_oneapi_level_zero>(q.get_device());
ze_device_properties_t props = {};
props.stype = ZE_STRUCTURE_TYPE_DEVICE_PROPERTIES;
ze_result_t r = zeDeviceGetProperties(ze_dev, &props);
return r == ZE_RESULT_SUCCESS && !(props.flags & ZE_DEVICE_PROPERTY_FLAG_INTEGRATED);
static bool ggml_sycl_is_l0_discrete_gpu(int device) {
return ggml_sycl_info().devices[device].l0_discrete_gpu;
}
#endif
static void dev2dev_memcpy(sycl::queue &q_dst, sycl::queue &q_src, void *ptr_dst,
static void dev2dev_memcpy(int device_dst, sycl::queue &q_dst, int device_src, sycl::queue &q_src, void *ptr_dst,
const void *ptr_src, size_t size) {
#ifdef GGML_SYCL_SUPPORT_LEVEL_ZERO
// Use Level Zero direct copy for dGPU-to-dGPU transfers.
const bool l0_copy_supported =
ggml_sycl_is_l0_discrete_gpu(q_dst) && ggml_sycl_is_l0_discrete_gpu(q_src);
if (g_ggml_sycl_enable_level_zero && l0_copy_supported) {
const bool l0_copy_supported = g_ggml_sycl_enable_level_zero &&
ggml_sycl_is_l0_discrete_gpu(device_dst) && ggml_sycl_is_l0_discrete_gpu(device_src);
if (l0_copy_supported) {
auto ze_ctx = sycl::get_native<sycl::backend::ext_oneapi_level_zero>(q_dst.get_context());
auto ze_dev = sycl::get_native<sycl::backend::ext_oneapi_level_zero>(q_dst.get_device());
ze_command_queue_desc_t cq_desc = {ZE_STRUCTURE_TYPE_COMMAND_QUEUE_DESC, nullptr, 0, 0,
@@ -651,7 +645,7 @@ ggml_backend_sycl_buffer_cpy_tensor(ggml_backend_buffer_t buffer,
size_t size = ggml_nbytes(src);
//todo. it's dirty solutino to walkaroud known issue:device2device cross GPUs.
dev2dev_memcpy(*stream_dst, *stream_src, dst->data, src->data, size);
dev2dev_memcpy(dst_ctx->device, *stream_dst, src_ctx->device, *stream_src, dst->data, src->data, size);
//todo, it's known issueerror in device2device cross GPUs. reused when the issue is fixed. DON"T remove
#if 0
@@ -1947,69 +1941,6 @@ static void scale_f32(const float * x, float * dst, const float scale, const flo
}
template <typename Ti, typename To>
static void pool2d_nchw_kernel(
const int ih, const int iw, const int oh, const int ow,
const int kh, const int kw, const int sh, const int sw,
const int ph, const int pw, const int parallel_elements,
const Ti* src, To* dst, const enum ggml_op_pool op,
const sycl::nd_item<3> &item_ct1) {
int idx = item_ct1.get_local_id(2) +
item_ct1.get_group(2) * item_ct1.get_local_range(2);
if (idx >= parallel_elements) {
return;
}
const int I_HW = ih * iw;
const int O_HW = oh * ow;
const int nc = idx / O_HW;
const int cur_oh = idx % O_HW / ow;
const int cur_ow = idx % O_HW % ow;
const Ti* i_ptr = src + nc * I_HW;
To* o_ptr = dst + nc * O_HW;
const int start_h = cur_oh * sh - ph;
const int bh = sycl::max(0, start_h);
const int eh = sycl::min(ih, start_h + kh);
const int start_w = cur_ow * sw - pw;
const int bw = sycl::max(0, start_w);
const int ew = sycl::min(iw, start_w + kw);
To res = 0;
switch (op) {
case GGML_OP_POOL_AVG: res = 0; break;
case GGML_OP_POOL_MAX: res = -FLT_MAX; break;
default:
res = (To) sycl::nan(uint32_t(0));
break;
}
for (int i = bh; i < eh; i += 1) {
for (int j = bw; j < ew; j += 1) {
#if DPCT_COMPATIBILITY_TEMP >= 350
/*
DPCT1098:106: The '*' expression is used instead of the __ldg
call. These two expressions do not provide the exact same
functionality. Check the generated code for potential precision
and/or performance issues.
*/
Ti cur = *(i_ptr + i * iw + j);
#else
Ti cur = i_ptr[i * iw + j];
#endif
switch (op) {
case GGML_OP_POOL_AVG: res += (cur / (kh * kw)); break;
case GGML_OP_POOL_MAX: res = sycl::max(res, (To)cur); break;
default:
res = (To) sycl::nan(uint32_t(0));
break;
}
}
}
o_ptr[cur_oh * ow + cur_ow] = res;
}
static void ggml_mul_mat_p021_f16_f32_sycl(const void *vx, const float *y,
float *dst, const int ncols_x,
const int nrows_x,
@@ -2558,45 +2489,6 @@ catch (sycl::exception const &exc) {
std::exit(1);
}
static void ggml_sycl_op_pool2d(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
dpct::queue_ptr main_stream = ctx.stream();
SYCL_CHECK(ggml_sycl_set_device(ctx.device));
const float * src0_dd = static_cast<const float *>(dst->src[0]->data);
float * dst_dd = static_cast<float *>(dst->data);
const int32_t * opts = (const int32_t *)dst->op_params;
enum ggml_op_pool op = static_cast<ggml_op_pool>(opts[0]);
const int k0 = opts[1];
const int k1 = opts[2];
const int s0 = opts[3];
const int s1 = opts[4];
const int p0 = opts[5];
const int p1 = opts[6];
const int64_t IH = dst->src[0]->ne[1];
const int64_t IW = dst->src[0]->ne[0];
const int64_t N = dst->ne[3];
const int64_t OC = dst->ne[2];
const int64_t OH = dst->ne[1];
const int64_t OW = dst->ne[0];
const int parallel_elements = N * OC * OH * OW;
const int num_blocks = (parallel_elements + SYCL_POOL2D_BLOCK_SIZE - 1) / SYCL_POOL2D_BLOCK_SIZE;
sycl::range<3> block_nums(1, 1, num_blocks);
main_stream->parallel_for(
sycl::nd_range<3>(block_nums *
sycl::range<3>(1, 1, SYCL_IM2COL_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_IM2COL_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
pool2d_nchw_kernel(IH, IW, OH, OW, k1, k0, s1, s0, p1, p0,
parallel_elements, src0_dd, dst_dd, op,
item_ct1);
});
}
inline void ggml_sycl_op_sum(ggml_backend_sycl_context & ctx, ggml_tensor *dst) {
GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -3056,7 +2948,7 @@ static void ggml_sycl_op_mul_mat(ggml_backend_sycl_context & ctx, const ggml_ten
src1_ddf_i_source += (i0 * ne11 + src1_col_0) * ne10;
SYCL_CHECK(
CHECK_TRY_ERROR(dev2dev_memcpy(*stream, *main_stream, src1_ddf_i, src1_ddf_i_source,
CHECK_TRY_ERROR(dev2dev_memcpy(i, *stream, ctx.device, *main_stream, src1_ddf_i, src1_ddf_i_source,
src1_ncols * ne10 * sizeof(float))));
}
}
@@ -4435,6 +4327,11 @@ static void ggml_sycl_pool2d(ggml_backend_sycl_context & ctx, ggml_tensor * dst)
ggml_sycl_op_pool2d(ctx, dst);
}
static void ggml_sycl_pool1d(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/1);
ggml_sycl_op_pool1d(ctx, dst);
}
static void ggml_sycl_im2col(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/2);
ggml_sycl_op_im2col(ctx, dst);
@@ -4748,6 +4645,9 @@ static bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct gg
case GGML_OP_POOL_2D:
ggml_sycl_pool2d(ctx, dst);
break;
case GGML_OP_POOL_1D:
ggml_sycl_pool1d(ctx, dst);
break;
case GGML_OP_SUM:
ggml_sycl_sum(ctx, dst);
break;
@@ -5342,10 +5242,15 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g
case GGML_OP_SET_ROWS:
{
return ((op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16 || op->type == GGML_TYPE_BF16 ||
auto res = ((op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16 || op->type == GGML_TYPE_BF16 ||
op->type == GGML_TYPE_Q8_0 || op->type == GGML_TYPE_Q5_1 || op->type == GGML_TYPE_Q5_0 ||
op->type == GGML_TYPE_Q4_1 || op->type == GGML_TYPE_Q4_0 || op->type == GGML_TYPE_IQ4_NL) &&
op->type == GGML_TYPE_Q1_0 ||
op->type == GGML_TYPE_Q4_1 || op->type == GGML_TYPE_Q4_0 || op->type == GGML_TYPE_IQ4_NL ||
op->type == GGML_TYPE_MXFP4 || op->type == GGML_TYPE_NVFP4) &&
op->src[0]->type == GGML_TYPE_F32 &&
(op->src[1]->type == GGML_TYPE_I64 || op->src[1]->type == GGML_TYPE_I32));
return res;
}
break;
case GGML_OP_CPY:
@@ -5502,6 +5407,7 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g
k > 0 && k <= 32;
}
case GGML_OP_POOL_2D:
case GGML_OP_POOL_1D:
return true;
case GGML_OP_ACC:
return ggml_is_contiguous(op->src[0]) && ggml_is_contiguous(op->src[1]);
+63 -67
View File
@@ -662,13 +662,12 @@ static void reorder_mul_mat_vec_q4_0_q8_1_sycl(const void * vx, const void * vy,
GGML_ASSERT(ncols % QK4_0 == 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) * (int) num_subgroups;
const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, (block_num_y * WARP_SIZE));
const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, 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>(global_size, workgroup_size),
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_Q4_0>>(vx, vy, dst, ncols, nrows,
nd_item);
@@ -683,13 +682,13 @@ static void reorder_mul_mat_vec_q4_0_q8_1_sycl_ncols(
const int stride_col_y_bytes, const int stride_col_dst,
dpct::queue_ptr stream) {
GGML_ASSERT(ncols % QK4_0 == 0);
const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y);
constexpr size_t num_subgroups = 16;
GGML_ASSERT(block_num_y % num_subgroups == 0);
const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
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>(global_size, workgroup_size),
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_Q4_0>, ncols_dst>(
vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, nd_item);
@@ -1080,13 +1079,12 @@ static void reorder_mul_mat_vec_q8_0_q8_1_sycl(const void * vx, const void * vy,
GGML_ASSERT(ncols % QK8_0 == 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) * (int) num_subgroups;
const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, (block_num_y * WARP_SIZE));
const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, 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>(global_size, workgroup_size),
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_Q8_0>>(vx, vy, dst, ncols, nrows,
nd_item);
@@ -1101,13 +1099,13 @@ static void reorder_mul_mat_vec_q8_0_q8_1_sycl_ncols(
const int stride_col_y_bytes, const int stride_col_dst,
dpct::queue_ptr stream) {
GGML_ASSERT(ncols % QK8_0 == 0);
const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y);
constexpr size_t num_subgroups = 16;
GGML_ASSERT(block_num_y % num_subgroups == 0);
const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
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>(global_size, workgroup_size),
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_Q8_0>, ncols_dst>(
vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, nd_item);
@@ -1289,13 +1287,12 @@ static void reorder_mul_mat_vec_q3_k_q8_1_sycl(const void * vx, const void * vy,
// 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) * (int) num_subgroups;
const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, 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>(global_size, workgroup_size),
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_Q3_K>>(vx, vy, dst, ncols, nrows,
nd_item);
@@ -1310,13 +1307,13 @@ static void reorder_mul_mat_vec_q3_k_q8_1_sycl_ncols(
const int stride_col_y_bytes, const int stride_col_dst,
dpct::queue_ptr stream) {
GGML_ASSERT(ncols % QK_K == 0);
const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y);
constexpr size_t num_subgroups = 16;
GGML_ASSERT(block_num_y % num_subgroups == 0);
const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
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>(global_size, workgroup_size),
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_Q3_K>, ncols_dst>(
vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, nd_item);
@@ -1457,13 +1454,12 @@ static void reorder_mul_mat_vec_q4_k_q8_1_sycl(const void * vx, const void * vy,
// 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) * (int) num_subgroups;
const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, 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>(global_size, workgroup_size),
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_Q4_K>>(vx, vy, dst, ncols,
nrows, nd_item);
@@ -1478,13 +1474,14 @@ static void reorder_mul_mat_vec_q4_k_q8_1_sycl_ncols(
const int stride_col_y_bytes, const int stride_col_dst,
dpct::queue_ptr stream) {
GGML_ASSERT(ncols % QK_K == 0);
const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y);
constexpr size_t num_subgroups = 16;
GGML_ASSERT(block_num_y % num_subgroups == 0);
const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
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>(global_size, workgroup_size),
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_Q4_K>, ncols_dst>(
vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, nd_item);
@@ -1583,15 +1580,13 @@ static void reorder_mul_mat_vec_q5_k_q8_1_sycl(const void * vx, const void * vy,
const int nrows, dpct::queue_ptr stream) {
GGML_ASSERT(ncols % QK_K == 0);
const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y);
constexpr size_t num_subgroups = 16;
GGML_ASSERT(block_num_y % num_subgroups == 0);
const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
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>(global_size, workgroup_size),
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_Q5_K>>(vx, vy, dst, ncols,
nrows, nd_item);
@@ -1606,13 +1601,14 @@ static void reorder_mul_mat_vec_q5_k_q8_1_sycl_ncols(
const int stride_col_y_bytes, const int stride_col_dst,
dpct::queue_ptr stream) {
GGML_ASSERT(ncols % QK_K == 0);
const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y);
constexpr size_t num_subgroups = 16;
GGML_ASSERT(block_num_y % num_subgroups == 0);
const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
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>(global_size, workgroup_size),
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_Q5_K>, ncols_dst>(
vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, nd_item);
@@ -1643,13 +1639,13 @@ static void reorder_mul_mat_vec_q6_k_q8_1_sycl(const void * vx, const void * vy,
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) * (int) num_subgroups;
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);
const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
stream->submit([&](sycl::handler & cgh) {
cgh.parallel_for(sycl::nd_range<3>(global_size, workgroup_size),
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_Q6_K>>(vx, vy, dst, ncols, nrows,
nd_item);
@@ -1664,13 +1660,13 @@ static void reorder_mul_mat_vec_q6_k_q8_1_sycl_ncols(
const int stride_col_y_bytes, const int stride_col_dst,
dpct::queue_ptr stream) {
GGML_ASSERT(ncols % QK_K == 0);
const int block_num_y = ceil_div(nrows, GGML_SYCL_MMV_Y);
constexpr size_t num_subgroups = 16;
GGML_ASSERT(block_num_y % num_subgroups == 0);
const sycl::range<3> global_size(1, GGML_SYCL_MMV_Y, block_num_y * WARP_SIZE);
const sycl::range<3> workgroup_size(1, GGML_SYCL_MMV_Y, num_subgroups * WARP_SIZE);
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>(global_size, workgroup_size),
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_Q6_K>, ncols_dst>(
vx, vy, dst, ncols, nrows, stride_col_y_bytes, stride_col_dst, nd_item);
+185
View File
@@ -0,0 +1,185 @@
//
// 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
//
#include "pool.hpp"
#include <float.h>
template <typename Ti, typename To>
static void pool2d_nchw_kernel(
const int ih, const int iw, const int oh, const int ow,
const int kh, const int kw, const int sh, const int sw,
const int ph, const int pw, const int parallel_elements,
const Ti* src, To* dst, const enum ggml_op_pool op,
const sycl::nd_item<3> &item_ct1) {
int idx = item_ct1.get_local_id(2) +
item_ct1.get_group(2) * item_ct1.get_local_range(2);
if (idx >= parallel_elements) {
return;
}
const int I_HW = ih * iw;
const int O_HW = oh * ow;
const int nc = idx / O_HW;
const int cur_oh = idx % O_HW / ow;
const int cur_ow = idx % O_HW % ow;
const Ti* i_ptr = src + nc * I_HW;
To* o_ptr = dst + nc * O_HW;
const int start_h = cur_oh * sh - ph;
const int bh = sycl::max(0, start_h);
const int eh = sycl::min(ih, start_h + kh);
const int start_w = cur_ow * sw - pw;
const int bw = sycl::max(0, start_w);
const int ew = sycl::min(iw, start_w + kw);
To res = 0;
switch (op) {
case GGML_OP_POOL_AVG: res = 0; break;
case GGML_OP_POOL_MAX: res = -FLT_MAX; break;
default:
res = (To) sycl::nan(uint32_t(0));
break;
}
for (int i = bh; i < eh; i += 1) {
for (int j = bw; j < ew; j += 1) {
Ti cur = i_ptr[i * iw + j];
switch (op) {
case GGML_OP_POOL_AVG: res += (cur / (kh * kw)); break;
case GGML_OP_POOL_MAX: res = sycl::max(res, (To)cur); break;
default:
res = (To) sycl::nan(uint32_t(0));
break;
}
}
}
o_ptr[cur_oh * ow + cur_ow] = res;
}
template <typename Ti, typename To>
static void pool1d_ncw_kernel(
const int iw, const int ow,
const int k, const int s,
const int p, const int parallel_elements,
const Ti * src, To * dst, const enum ggml_op_pool op,
const sycl::nd_item<3> & item_ct1) {
int idx = item_ct1.get_local_id(2) +
item_ct1.get_group(2) * item_ct1.get_local_range(2);
if (idx >= parallel_elements) {
return;
}
const int nc = idx / ow;
const int cur_ow = idx % ow;
const Ti * i_ptr = src + nc * iw;
To * o_ptr = dst + nc * ow;
const int start = cur_ow * s - p;
const int b = sycl::max(0, start);
const int e = sycl::min(iw, start + k);
To res = 0;
switch (op) {
case GGML_OP_POOL_AVG: res = 0; break;
case GGML_OP_POOL_MAX: res = -FLT_MAX; break;
default:
res = (To) sycl::nan(uint32_t(0));
break;
}
for (int j = b; j < e; j += 1) {
Ti cur = i_ptr[j];
switch (op) {
case GGML_OP_POOL_AVG: res += cur; break;
case GGML_OP_POOL_MAX: res = sycl::max(res, (To) cur); break;
default:
res = (To) sycl::nan(uint32_t(0));
break;
}
}
const int count = e - b;
if (op == GGML_OP_POOL_AVG) {
res = (count > 0) ? (res / count) : (To) 0;
}
o_ptr[cur_ow] = res;
}
void ggml_sycl_op_pool2d(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
dpct::queue_ptr main_stream = ctx.stream();
SYCL_CHECK(ggml_sycl_set_device(ctx.device));
const float * src0_dd = static_cast<const float *>(dst->src[0]->data);
float * dst_dd = static_cast<float *>(dst->data);
const int32_t * opts = (const int32_t *)dst->op_params;
enum ggml_op_pool op = static_cast<ggml_op_pool>(opts[0]);
const int k0 = opts[1];
const int k1 = opts[2];
const int s0 = opts[3];
const int s1 = opts[4];
const int p0 = opts[5];
const int p1 = opts[6];
const int64_t IH = dst->src[0]->ne[1];
const int64_t IW = dst->src[0]->ne[0];
const int64_t N = dst->ne[3];
const int64_t OC = dst->ne[2];
const int64_t OH = dst->ne[1];
const int64_t OW = dst->ne[0];
const int parallel_elements = N * OC * OH * OW;
const int num_blocks = (parallel_elements + SYCL_POOL2D_BLOCK_SIZE - 1) / SYCL_POOL2D_BLOCK_SIZE;
sycl::range<3> block_nums(1, 1, num_blocks);
main_stream->parallel_for(
sycl::nd_range<3>(block_nums *
sycl::range<3>(1, 1, SYCL_IM2COL_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_IM2COL_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
pool2d_nchw_kernel(IH, IW, OH, OW, k1, k0, s1, s0, p1, p0,
parallel_elements, src0_dd, dst_dd, op,
item_ct1);
});
}
void ggml_sycl_op_pool1d(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
dpct::queue_ptr main_stream = ctx.stream();
SYCL_CHECK(ggml_sycl_set_device(ctx.device));
const float * src0_dd = static_cast<const float *>(dst->src[0]->data);
float * dst_dd = static_cast<float *>(dst->data);
const int32_t * opts = (const int32_t *)dst->op_params;
enum ggml_op_pool op = static_cast<ggml_op_pool>(opts[0]);
const int k0 = opts[1];
const int s0 = opts[2];
const int p0 = opts[3];
const int64_t IW = dst->src[0]->ne[0];
const int64_t OW = dst->ne[0];
const int64_t NC = dst->ne[3] * dst->ne[2] * dst->ne[1];
const int parallel_elements = NC * OW;
const int num_blocks = (parallel_elements + SYCL_POOL1D_BLOCK_SIZE - 1) / SYCL_POOL1D_BLOCK_SIZE;
sycl::range<3> block_nums(1, 1, num_blocks);
main_stream->parallel_for(
sycl::nd_range<3>(block_nums *
sycl::range<3>(1, 1, SYCL_POOL1D_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_POOL1D_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
pool1d_ncw_kernel(IW, OW, k0, s0, p0,
parallel_elements, src0_dd, dst_dd, op,
item_ct1);
});
}
+22
View File
@@ -0,0 +1,22 @@
//
// 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_POOL_HPP
#define GGML_SYCL_POOL_HPP
#include "common.hpp"
#include "presets.hpp"
void ggml_sycl_op_pool2d(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
void ggml_sycl_op_pool1d(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
#endif // GGML_SYCL_POOL_HPP
+1
View File
@@ -46,6 +46,7 @@
#define SYCL_PAD_BLOCK_SIZE 256
#define SYCL_ACC_BLOCK_SIZE 256
#define SYCL_IM2COL_BLOCK_SIZE 256
#define SYCL_POOL1D_BLOCK_SIZE 256
#define SYCL_POOL2D_BLOCK_SIZE 256
#define SYCL_ARGMAX_BLOCK_SIZE 256
#define SYCL_CONV_TRANPOSE_1D_BLOCK_SIZE 256
+10 -2
View File
@@ -135,7 +135,7 @@ static void set_rows_sycl(
stream->parallel_for(
sycl::nd_range<1>(grid_size * block_size, block_size),
[=](sycl::nd_item<1> item_ct1) {
[=](sycl::nd_item<1> item_ct1) [[intel::reqd_sub_group_size(WARP_SIZE)]] {
k_set_rows<TIn, TIdx, TOut>(
src0_d, src1_d, dst_d,
ne00, ne01, ne02,
@@ -202,6 +202,9 @@ static void set_rows_sycl(ggml_backend_sycl_context & ctx, const ggml_tensor * s
case GGML_TYPE_Q8_0:
set_rows_sycl_q<TIdx, block_q8_0, QK8_0, cpy_blck_f32_q8_0>(src0_d, src1_d, (block_q8_0 *)dst->data, ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb1, nb2, nb3, stream);
break;
case GGML_TYPE_Q1_0:
set_rows_sycl_q<TIdx, block_q1_0, QK1_0, cpy_blck_f32_q1_0>(src0_d, src1_d, (block_q1_0 *)dst->data, ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb1, nb2, nb3, stream);
break;
case GGML_TYPE_Q5_1:
set_rows_sycl_q<TIdx, block_q5_1, QK5_1, cpy_blck_f32_q5_1>(src0_d, src1_d, (block_q5_1 *)dst->data, ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb1, nb2, nb3, stream);
break;
@@ -217,7 +220,12 @@ static void set_rows_sycl(ggml_backend_sycl_context & ctx, const ggml_tensor * s
case GGML_TYPE_IQ4_NL:
set_rows_sycl_q<TIdx, block_iq4_nl, QK4_NL, cpy_blck_f32_iq4_nl>(src0_d, src1_d, (block_iq4_nl *)dst->data, ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb1, nb2, nb3, stream);
break;
case GGML_TYPE_MXFP4:
set_rows_sycl_q<TIdx, block_mxfp4, QK_MXFP4, cpy_blck_f32_mxfp4>(src0_d, src1_d, (block_mxfp4 *)dst->data, ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb1, nb2, nb3, stream);
break;
case GGML_TYPE_NVFP4:
set_rows_sycl_q<TIdx, block_nvfp4, QK_NVFP4, cpy_blck_f32_nvfp4>(src0_d, src1_d, (block_nvfp4 *)dst->data, ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb1, nb2, nb3, stream);
break;
default:
GGML_ABORT("Unsupported tensor type!");
break;
+7 -8
View File
@@ -56,7 +56,7 @@ static void soft_max_f32(const float * x,
: block_size_template;
const int nthreads = block_size;
const int nwarps = nthreads / WARP_SIZE;
size_t nreduce = nwarps / WARP_SIZE;
const size_t nreduce = nwarps / WARP_SIZE;
const int tid = item_ct1.get_local_id(2);
@@ -105,17 +105,15 @@ static void soft_max_f32(const float * x,
max_val = warp_reduce_max<WARP_SIZE>(max_val);
if (block_size > WARP_SIZE) {
if (warp_id == 0) {
buf_iw[lane_id] = -INFINITY;
}
item_ct1.barrier();
if (lane_id == 0) {
buf_iw[warp_id] = max_val;
}
item_ct1.barrier();
max_val = buf_iw[lane_id];
max_val = -INFINITY;
for (int i = lane_id; i < nwarps; i += WARP_SIZE) {
max_val = sycl::max(max_val, buf_iw[i]);
}
max_val = warp_reduce_max<WARP_SIZE>(max_val);
}
float tmp = 0.0f; // partial sum
@@ -290,7 +288,8 @@ static void soft_max_f32_sycl(const float *x, const T *mask,
cgh.parallel_for(
sycl::nd_range<3>(block_nums * block_dims, block_dims),
[=](sycl::nd_item<3> item_ct1) {
[=](sycl::nd_item<3> item_ct1)
[[sycl::reqd_sub_group_size(WARP_SIZE)]] {
soft_max_f32<false, 0, 0>(
x, mask, sinks, dst, params,
dpct_local_acc_ct1
@@ -98,6 +98,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
}
#endif // INIT_SRC0_SHMEM_Q1_0
// legacy-quants
#if defined(INIT_SRC0_SHMEM_Q4_0) || defined(INIT_SRC0_SHMEM_Q4_1) || defined(INIT_SRC0_SHMEM_Q5_0) || defined(INIT_SRC0_SHMEM_Q5_1) || defined(INIT_SRC0_SHMEM_Q8_0) || defined(INIT_SRC0_SHMEM_Q8_1) || defined(INIT_SRC0_SHMEM_MXFP4)
const BLOCK_SIZE = 32u;
// the number of blocks per k-tile. Note that this currently only works if TILE_K is a multiple of BLOCK_SIZE, which may need to be rethought for larger quantized types.
@@ -124,7 +125,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
if (global_m < params.m && global_block_k < params.k / BLOCK_SIZE) {
let src0_idx = batch_offset + global_m * params.stride_01 + global_block_k;
#ifdef INIT_SRC0_SHMEM_Q4_0
#if defined(INIT_SRC0_SHMEM_Q4_0)
let block_byte_base = src0_idx * 18u; // BLOCK_SIZE_BYTES = 18u;
let d = load_f16_at_src0(block_byte_base);
@@ -134,7 +135,9 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
let q_packed = load_u32_at_src0(q_byte_offset);
dequant_q4_0_packed_to_shmem(q_packed, d, shmem_idx + j * BYTES_PER_INNER_LOOP);
}
#elif INIT_SRC0_SHMEM_Q4_1
#endif // INIT_SRC0_SHMEM_Q4_0
#if defined(INIT_SRC0_SHMEM_Q4_1)
let block_byte_base = src0_idx * 20u; // BLOCK_SIZE_BYTES = 20u;
let dm = unpack2x16float(load_u32_at_src0_aligned(block_byte_base));
let d = f16(dm[0]);
@@ -153,7 +156,9 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k + 16u] = q_hi;
}
}
#elif INIT_SRC0_SHMEM_Q5_0
#endif // INIT_SRC0_SHMEM_Q4_1
#if defined(INIT_SRC0_SHMEM_Q5_0)
let block_byte_base = src0_idx * 22u; // BLOCK_SIZE_BYTES = 22u;
let d = load_f16_at_src0(block_byte_base);
@@ -176,7 +181,9 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k + 16u] = q_hi;
}
}
#elif INIT_SRC0_SHMEM_Q5_1
#endif // INIT_SRC0_SHMEM_Q5_0
#if defined(INIT_SRC0_SHMEM_Q5_1)
let block_byte_base = src0_idx * 24u; // BLOCK_SIZE_BYTES = 24u;
let dm = unpack2x16float(load_u32_at_src0_aligned(block_byte_base));
@@ -201,7 +208,9 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k + 16u] = q_hi;
}
}
#elif INIT_SRC0_SHMEM_Q8_0
#endif // INIT_SRC0_SHMEM_Q5_1
#if defined(INIT_SRC0_SHMEM_Q8_0)
let block_byte_base = src0_idx * 34u; // BLOCK_SIZE_BYTES = 34u;
let d = load_f16_at_src0(block_byte_base);
@@ -211,7 +220,9 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
let q_packed = load_u32_at_src0(q_byte_offset);
dequant_q8_0_packed_to_shmem(q_packed, d, shmem_idx + j * BYTES_PER_INNER_LOOP);
}
#elif INIT_SRC0_SHMEM_Q8_1
#endif // INIT_SRC0_SHMEM_Q8_0
#if defined(INIT_SRC0_SHMEM_Q8_1)
let block_byte_base = src0_idx * 36u; // BLOCK_SIZE_BYTES = 36u;
let dm = unpack2x16float(load_u32_at_src0_aligned(block_byte_base));
let d = f16(dm[0]);
@@ -227,7 +238,9 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k] = q_val;
}
}
#elif INIT_SRC0_SHMEM_MXFP4
#endif // INIT_SRC0_SHMEM_Q8_1
#if defined(INIT_SRC0_SHMEM_MXFP4)
let block_byte_base = src0_idx * 17u;
let eu8 = get_byte(load_u32_at_src0_aligned(block_byte_base), block_byte_base & 3u);
let e = ldexp(1.0, i32(eu8) - 128);
@@ -244,11 +257,11 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
shmem[shmem_idx + j * BYTES_PER_INNER_LOOP + k + 16u] = f16(q_hi);
}
}
#endif
#endif // INIT_SRC0_SHMEM_MXFP4
}
}
}
#endif
#endif // legacy-quants
// k-quants
#if defined(INIT_SRC0_SHMEM_Q2_K) || defined(INIT_SRC0_SHMEM_Q3_K) || defined(INIT_SRC0_SHMEM_Q4_K) || defined(INIT_SRC0_SHMEM_Q5_K) || defined(INIT_SRC0_SHMEM_Q6_K)
@@ -284,7 +297,7 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
#ifdef INIT_SRC0_SHMEM_Q2_K
#if defined(INIT_SRC0_SHMEM_Q2_K)
let block_byte_base = src0_idx * 84u; // BLOCK_SIZE_BYTES = 84u;
let scales_byte_base = block_byte_base;
let qs_byte_base = block_byte_base + 16u;
@@ -314,7 +327,9 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
let ml = dmin * f16(scale >> 4u);
store_shmem_kquants(qs_vec4 * dl - ml, elem_idx);
#elif INIT_SRC0_SHMEM_Q3_K
#endif // INIT_SRC0_SHMEM_Q2_K
#if defined(INIT_SRC0_SHMEM_Q3_K)
let block_byte_base = src0_idx * 110u; // BLOCK_SIZE_BYTES = 110u;
let hmask_byte_base = block_byte_base + 0u;
let qs_byte_base = block_byte_base + 32u;
@@ -355,7 +370,9 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
let dl = d_all * (f16((scale_hi2 << 4u) | scale_low4) - 32.0);
store_shmem_kquants(dl * q_vec4, elem_idx);
#elif INIT_SRC0_SHMEM_Q4_K
#endif // INIT_SRC0_SHMEM_Q3_K
#if defined(INIT_SRC0_SHMEM_Q4_K)
let block_byte_base = src0_idx * 144u; // BLOCK_SIZE_BYTES = 144u;
let dm_byte_base = block_byte_base + 0u;
let scale_byte_base = block_byte_base + 4u;
@@ -399,7 +416,9 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
let ml = dmin * f16(mn);
store_shmem_kquants(dl * qs_vec4 - vec4(ml, ml, ml, ml), elem_idx);
#elif INIT_SRC0_SHMEM_Q5_K
#endif // INIT_SRC0_SHMEM_Q4_K
#if defined(INIT_SRC0_SHMEM_Q5_K)
let block_byte_base = src0_idx * 176u; // BLOCK_SIZE_BYTES = 176u;
let dm_byte_base = block_byte_base + 0u;
let scale_byte_base = block_byte_base + 4u;
@@ -456,7 +475,9 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
let ml = dmin * f16(mn);
store_shmem_kquants((qh_vec4 + qs_lo4_vec4) * dl - vec4<f16>(ml, ml, ml, ml), elem_idx);
#elif INIT_SRC0_SHMEM_Q6_K
#endif // INIT_SRC0_SHMEM_Q5_K
#if defined(INIT_SRC0_SHMEM_Q6_K)
let block_byte_base = src0_idx * 210u; // BLOCK_SIZE_BYTES = 210u;
let ql_byte_base = block_byte_base;
let qh_byte_base = block_byte_base + 128u;
@@ -497,17 +518,18 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
let scale = get_byte_i32(scale_word, scale_byte & 3u);
store_shmem_kquants(d * q_vec4 * f16(scale), elem_idx);
#endif
#endif // INIT_SRC0_SHMEM_Q6_K
}
}
#endif // k-quants
#ifdef INIT_SRC0_SHMEM_IQ4_NL
#if defined(INIT_SRC0_SHMEM_IQ4_NL)
const BLOCK_SIZE = 32u;
const BLOCK_SIZE_BYTES = 18u;
const NQ = 4u;
fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
for (var elem_idx = thread_id * NQ; elem_idx < TILE_SRC0_SHMEM; elem_idx += NQ * TOTAL_WORKGROUP_SIZE) {
let tile_m = elem_idx / TILE_K;
let tile_k = elem_idx % TILE_K;
let global_m = offset_m + tile_m;
@@ -519,408 +541,464 @@ fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u3
}
let block_k = global_k / BLOCK_SIZE;
let k_in_block = global_k % BLOCK_SIZE;
let k_in_block = global_k % BLOCK_SIZE; // k_in_block % 4 == 0;
let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
let d = load_f16_at_src0(block_byte_base);
let d_byte_base = block_byte_base + 0u;
let qs_byte_base = block_byte_base + 2u;
let pos = k_in_block % 16u;
let nib_shift = (k_in_block / 16u) * 4u;
let q_packed = load_u32_at_src0(block_byte_base + 2u + (pos / 4u) * 4u);
let nib = (get_byte(q_packed, pos % 4u) >> nib_shift) & 0xFu;
let d = load_f16_at_src0(d_byte_base);
shmem[elem_idx] = d * f16(kvalues_iq4nl[nib]);
let id_qtr = (k_in_block % 16u) / 4u;
let shift_phase = k_in_block / 16u;
let qs_u32 = load_u32_at_src0(qs_byte_base + 4u * id_qtr);
shmem[elem_idx + 0u] = d * f16(kvalues_iq4nl[(qs_u32 >> ( 0u + 4u * shift_phase)) & 0xFu]);
shmem[elem_idx + 1u] = d * f16(kvalues_iq4nl[(qs_u32 >> ( 8u + 4u * shift_phase)) & 0xFu]);
shmem[elem_idx + 2u] = d * f16(kvalues_iq4nl[(qs_u32 >> (16u + 4u * shift_phase)) & 0xFu]);
shmem[elem_idx + 3u] = d * f16(kvalues_iq4nl[(qs_u32 >> (24u + 4u * shift_phase)) & 0xFu]);
}
}
#endif // INIT_SRC0_SHMEM_IQ4_NL
#ifdef INIT_SRC0_SHMEM_IQ4_XS
// i-quants (super block size: 256)
#if defined(INIT_SRC0_SHMEM_IQ4_XS) || defined(INIT_SRC0_SHMEM_IQ1_S) || defined(INIT_SRC0_SHMEM_IQ1_M) || defined(INIT_SRC0_SHMEM_IQ2_XXS) \
|| defined(INIT_SRC0_SHMEM_IQ2_XS) || defined(INIT_SRC0_SHMEM_IQ2_S) || defined(INIT_SRC0_SHMEM_IQ3_XXS) || defined(INIT_SRC0_SHMEM_IQ3_S)
const BLOCK_SIZE = 256u;
const BLOCK_SIZE_BYTES = 136u;
const NQ = 16u;
fn store_shmem_iquants(val: vec4<f16>, idx: u32) {
shmem[idx] = val.x;
shmem[idx + 1] = val.y;
shmem[idx + 2] = val.z;
shmem[idx + 3] = val.w;
}
fn load_byte_at_src0_aligned(byte_offset: u32) -> u32 {
return get_byte(load_u32_at_src0_aligned(byte_offset), byte_offset % 4u);
}
#if defined(INIT_SRC0_SHMEM_IQ1_M) || defined(INIT_SRC0_SHMEM_IQ1_S)
fn create_iq_gw4(dl: f32, gw: u32, shift_base: u32, delta: f32) -> vec4<f16> {
return vec4<f16>(
f16(dl * (f32((bitcast<i32>(((gw >> (shift_base + 0u)) & 3u) << 30u) >> 30u)) + delta)),
f16(dl * (f32((bitcast<i32>(((gw >> (shift_base + 2u)) & 3u) << 30u) >> 30u)) + delta)),
f16(dl * (f32((bitcast<i32>(((gw >> (shift_base + 4u)) & 3u) << 30u) >> 30u)) + delta)),
f16(dl * (f32((bitcast<i32>(((gw >> (shift_base + 6u)) & 3u) << 30u) >> 30u)) + delta)),
);
}
#endif
#if defined(INIT_SRC0_SHMEM_IQ4_XS)
fn create_iq_gw4(dl: f16, qs_u32: u32, shift_phase: u32) -> vec4<f16> {
return vec4<f16>(
dl * f16(kvalues_iq4nl[(qs_u32 >> (4 * shift_phase + 0u)) & 0xFu]),
dl * f16(kvalues_iq4nl[(qs_u32 >> (4 * shift_phase + 8u)) & 0xFu]),
dl * f16(kvalues_iq4nl[(qs_u32 >> (4 * shift_phase + 16u)) & 0xFu]),
dl * f16(kvalues_iq4nl[(qs_u32 >> (4 * shift_phase + 24u)) & 0xFu]),
);
}
#endif
#if defined(INIT_SRC0_SHMEM_IQ2_XXS)
fn create_iq_gw4(ig: u32, grid_phase: u32) -> vec4<f32> {
return vec4<f32>(
f32(get_byte(iq2xxs_grid[(ig + grid_phase + 0u) / 4u], (ig + grid_phase + 0u) % 4u)),
f32(get_byte(iq2xxs_grid[(ig + grid_phase + 1u) / 4u], (ig + grid_phase + 1u) % 4u)),
f32(get_byte(iq2xxs_grid[(ig + grid_phase + 2u) / 4u], (ig + grid_phase + 2u) % 4u)),
f32(get_byte(iq2xxs_grid[(ig + grid_phase + 3u) / 4u], (ig + grid_phase + 3u) % 4u)),
);
}
#endif
#if defined(INIT_SRC0_SHMEM_IQ2_XS)
fn create_iq_gw4(ig: u32, grid_phase: u32) -> vec4<f32> {
return vec4<f32>(
f32(get_byte(iq2xs_grid[(ig + grid_phase + 0u) / 4u], (ig + grid_phase + 0u) % 4u)),
f32(get_byte(iq2xs_grid[(ig + grid_phase + 1u) / 4u], (ig + grid_phase + 1u) % 4u)),
f32(get_byte(iq2xs_grid[(ig + grid_phase + 2u) / 4u], (ig + grid_phase + 2u) % 4u)),
f32(get_byte(iq2xs_grid[(ig + grid_phase + 3u) / 4u], (ig + grid_phase + 3u) % 4u)),
);
}
#endif
#if defined(INIT_SRC0_SHMEM_IQ2_S)
fn create_iq_gw4(ig: u32, grid_phase: u32) -> vec4<f32> {
return vec4<f32>(
f32(get_byte(iq2s_grid[(ig + grid_phase + 0u) / 4u], (ig + grid_phase + 0u) % 4u)),
f32(get_byte(iq2s_grid[(ig + grid_phase + 1u) / 4u], (ig + grid_phase + 1u) % 4u)),
f32(get_byte(iq2s_grid[(ig + grid_phase + 2u) / 4u], (ig + grid_phase + 2u) % 4u)),
f32(get_byte(iq2s_grid[(ig + grid_phase + 3u) / 4u], (ig + grid_phase + 3u) % 4u)),
);
}
#endif
#if defined(INIT_SRC0_SHMEM_IQ3_XXS)
fn create_iq_gw4(ig: u32) -> vec4<f32> {
return vec4<f32>(
f32(get_byte(iq3xxs_grid[ig], 0)),
f32(get_byte(iq3xxs_grid[ig], 1)),
f32(get_byte(iq3xxs_grid[ig], 2)),
f32(get_byte(iq3xxs_grid[ig], 3)),
);
}
#endif
#if defined(INIT_SRC0_SHMEM_IQ3_S)
fn create_iq_gw4(ig: u32) -> vec4<f32> {
return vec4<f32>(
f32(get_byte(iq3s_grid[ig], 0)),
f32(get_byte(iq3s_grid[ig], 1)),
f32(get_byte(iq3s_grid[ig], 2)),
f32(get_byte(iq3s_grid[ig], 3)),
);
}
#endif
#if defined(INIT_SRC0_SHMEM_IQ2_XXS) || defined(INIT_SRC0_SHMEM_IQ2_XS) || defined(INIT_SRC0_SHMEM_IQ2_S) \
|| defined(INIT_SRC0_SHMEM_IQ3_XXS) || defined(INIT_SRC0_SHMEM_IQ3_S)
fn create_iq2_m4(signs: u32, mask_phase: u32) -> vec4<f32> {
return vec4<f32>(
select(1.0, -1.0, (get_byte(kmask_iq2xs[mask_phase], 0) & signs) != 0u),
select(1.0, -1.0, (get_byte(kmask_iq2xs[mask_phase], 1) & signs) != 0u),
select(1.0, -1.0, (get_byte(kmask_iq2xs[mask_phase], 2) & signs) != 0u),
select(1.0, -1.0, (get_byte(kmask_iq2xs[mask_phase], 3) & signs) != 0u),
);
}
#endif
fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
for (var elem_idx = thread_id * NQ; elem_idx < TILE_SRC0_SHMEM; elem_idx += NQ * TOTAL_WORKGROUP_SIZE) {
let tile_m = elem_idx / TILE_K;
let tile_k = elem_idx % TILE_K;
let global_m = offset_m + tile_m;
let global_k = k_outer + tile_k;
if (global_m >= params.m || global_k >= params.k) {
shmem[elem_idx] = f16(0.0);
let zero_vec4 = vec4<f16>(f16(0.0), f16(0.0), f16(0.0), f16(0.0));
store_shmem_iquants(zero_vec4, elem_idx + 0u);
store_shmem_iquants(zero_vec4, elem_idx + 4u);
store_shmem_iquants(zero_vec4, elem_idx + 8u);
store_shmem_iquants(zero_vec4, elem_idx + 12u);
continue;
}
let block_k = global_k / BLOCK_SIZE;
let k_in_block = global_k % BLOCK_SIZE;
let k_in_block = global_k % BLOCK_SIZE; // k_in_block % 16 == 0;
let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
let d_scales_h = load_u32_at_src0(block_byte_base);
#if defined(INIT_SRC0_SHMEM_IQ4_XS)
let block_byte_base = src0_idx * 136u; // BLOCK_SIZE_BYTES = 136u;
let d_byte_base = block_byte_base + 0u;
let scales_l_byte_base = block_byte_base + 4u;
let qs_byte_base = block_byte_base + 8u;
let d_scales_h = load_u32_at_src0_aligned(d_byte_base);
let d = bitcast<vec2<f16>>(d_scales_h).x;
let scales_h = d_scales_h >> 16u;
let ib = k_in_block / 32u;
let pos = k_in_block % 32u;
let sub_block = k_in_block / 32u;
let phase = (k_in_block / NQ) % 2u;
let scales_l_word = load_u32_at_src0(block_byte_base + 4u);
let ls_lo = (get_byte(scales_l_word, ib / 2u) >> ((ib & 1u) * 4u)) & 0xFu;
let ls_hi = ((scales_h >> (2u * ib)) & 3u) << 4u;
let dl = d * f16(i32(ls_lo | ls_hi) - 32);
let scales_l_u32 = load_u32_at_src0_aligned(scales_l_byte_base);
let ls_lo = (get_byte(scales_l_u32, sub_block / 2u) >> (4u * (sub_block % 2u))) & 0xFu;
let ls_hi = ((scales_h >> (2u * sub_block)) & 3u) << 4u;
let dl = d * f16(i32(ls_lo | ls_hi) - 32);
let iqs = ib * 16u + (pos % 16u);
let nib_shift = (pos / 16u) * 4u;
let q_packed = load_u32_at_src0(block_byte_base + 8u + (iqs / 4u) * 4u);
let nib = (get_byte(q_packed, iqs % 4u) >> nib_shift) & 0xFu;
let qs_0_3_u32 = load_u32_at_src0_aligned(qs_byte_base + 16u * sub_block + 0u);
let qs_4_7_u32 = load_u32_at_src0_aligned(qs_byte_base + 16u * sub_block + 4u);
let qs_8_11_u32 = load_u32_at_src0_aligned(qs_byte_base + 16u * sub_block + 8u);
let qs_12_15_u32 = load_u32_at_src0_aligned(qs_byte_base + 16u * sub_block + 12u);
shmem[elem_idx] = dl * f16(kvalues_iq4nl[nib]);
}
}
store_shmem_iquants(create_iq_gw4(dl, qs_0_3_u32, phase), elem_idx + 0u);
store_shmem_iquants(create_iq_gw4(dl, qs_4_7_u32, phase), elem_idx + 4u);
store_shmem_iquants(create_iq_gw4(dl, qs_8_11_u32, phase), elem_idx + 8u);
store_shmem_iquants(create_iq_gw4(dl, qs_12_15_u32, phase), elem_idx + 12u);
#endif // INIT_SRC0_SHMEM_IQ4_XS
#ifdef INIT_SRC0_SHMEM_IQ1_S
const BLOCK_SIZE = 256u;
const BLOCK_SIZE_BYTES = 50u;
#if defined(INIT_SRC0_SHMEM_IQ1_S)
let block_byte_base = src0_idx * 50u; // BLOCK_SIZE_BYTES = 50u;
let d_byte_base = block_byte_base + 0u;
let qs_byte_base = block_byte_base + 2u;
let qh_byte_base = block_byte_base + 34u;
fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
let tile_m = elem_idx / TILE_K;
let tile_k = elem_idx % TILE_K;
let global_m = offset_m + tile_m;
let global_k = k_outer + tile_k;
let d = load_f16_as_f32_at_src0(d_byte_base);
if (global_m >= params.m || global_k >= params.k) {
shmem[elem_idx] = f16(0.0);
continue;
}
let sub_block = k_in_block / 32u;
let phase = (k_in_block / NQ) % 2u;
let block_k = global_k / BLOCK_SIZE;
let k_in_block = global_k % BLOCK_SIZE;
let qh_u16 = load_u32_at_src0(qh_byte_base + sub_block * 2u) & 0xFFFFu;
let qs_u16 = load_u32_at_src0(qs_byte_base + sub_block * 4u + phase * 2u) & 0xFFFFu;
let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
let d = load_f16_as_f32_at_src0(block_byte_base);
let dl = d * (2.0 * f32((qh_u16 >> 12u) & 7u) + 1.0);
let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh_u16 & 0x8000u) != 0u);
let ib = k_in_block / 32u;
let pos = k_in_block % 32u;
let l = pos / 8u;
let j = pos % 8u;
let gp0_grid_id = ((qs_u16 & 0xFFu) | (((qh_u16 >> (phase * 6u)) & 7u) << 8u)) * 8u;
let gp1_grid_id = (((qs_u16 >> 8) & 0xFFu) | (((qh_u16 >> (phase * 6u + 3u)) & 7u) << 8u)) * 8u;
let qh = load_u32_at_src0(block_byte_base + 34u + ib * 2u) & 0xFFFFu;
let dl = d * (2.0 * f32((qh >> 12u) & 7u) + 1.0);
let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh & 0x8000u) != 0u);
let gp0_gw = iq1_grid[(gp0_grid_id) / 16u];
let gp1_gw = iq1_grid[(gp1_grid_id) / 16u];
let qs_w = load_u32_at_src0(block_byte_base + 2u + ib * 4u);
let ig = (get_byte(qs_w, l) | (((qh >> (3u * l)) & 7u) << 8u)) * 8u;
let gp0_shift_base = (gp0_grid_id % 16u) * 2u;
let gp1_shift_base = (gp1_grid_id % 16u) * 2u;
let gw = iq1_grid[(ig + j) / 16u];
let g = (gw >> (((ig + j) % 16u) * 2u)) & 3u;
let gs = bitcast<i32>(g << 30u) >> 30u;
shmem[elem_idx] = f16(dl * (f32(gs) + delta));
}
}
store_shmem_iquants(create_iq_gw4(dl, gp0_gw, gp0_shift_base + 0u, delta), elem_idx + 0u);
store_shmem_iquants(create_iq_gw4(dl, gp0_gw, gp0_shift_base + 8u, delta), elem_idx + 4u);
store_shmem_iquants(create_iq_gw4(dl, gp1_gw, gp1_shift_base + 0u, delta), elem_idx + 8u);
store_shmem_iquants(create_iq_gw4(dl, gp1_gw, gp1_shift_base + 8u, delta), elem_idx + 12u);
#endif // INIT_SRC0_SHMEM_IQ1_S
#ifdef INIT_SRC0_SHMEM_IQ1_M
const BLOCK_SIZE = 256u;
const BLOCK_SIZE_BYTES = 56u;
#if defined(INIT_SRC0_SHMEM_IQ1_M)
let block_byte_base = src0_idx * 56u; // BLOCK_SIZE_BYTES = 56u;
let qs_byte_base = block_byte_base + 0u;
let qh_byte_base = block_byte_base + 32u;
let scales_byte_base = block_byte_base + 48u;
fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
let tile_m = elem_idx / TILE_K;
let tile_k = elem_idx % TILE_K;
let global_m = offset_m + tile_m;
let global_k = k_outer + tile_k;
if (global_m >= params.m || global_k >= params.k) {
shmem[elem_idx] = f16(0.0);
continue;
}
let block_k = global_k / BLOCK_SIZE;
let k_in_block = global_k % BLOCK_SIZE;
let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
let scales0 = load_u32_at_src0(block_byte_base + 48u);
let scales1 = load_u32_at_src0(block_byte_base + 52u);
let scales0 = load_u32_at_src0_aligned(scales_byte_base);
let scales1 = load_u32_at_src0_aligned(scales_byte_base + 4u);
let scale_packed = ((scales0 >> 12u) & 0xFu) |
((scales0 >> 24u) & 0x00F0u) |
((scales1 >> 4u) & 0x0F00u) |
((scales1 >> 16u) & 0xF000u);
let d = f32(bitcast<vec2<f16>>(scale_packed).x);
let ib = k_in_block / 32u;
let pos = k_in_block % 32u;
let l = pos / 8u;
let j = pos % 8u;
let sub_block = k_in_block / 32u;
let phase = (k_in_block / NQ) % 2u;
let scales = select(scales0, scales1, ib >= 4u);
let sw = (scales >> (16u * ((ib / 2u) % 2u))) & 0xFFFFu;
let s_pair = (sw >> (6u * (ib % 2u) + 3u * (l / 2u))) & 0x7u;
let dl = d * f32(2u * s_pair + 1u);
let scale_u32 = select(scales0, scales1, sub_block >= 4u);
let scale_u3 = (scale_u32 >> (16u * ((sub_block / 2u) % 2u) + 6u * (sub_block % 2u) + 3u * phase)) & 0x7u;
let dl = d * f32(2u * scale_u3 + 1u);
let qh_word = load_u32_at_src0(block_byte_base + 32u + (ib / 2u) * 4u);
let qh = qh_word >> (16u * (ib % 2u));
let qh_nib = (qh >> (4u * l)) & 0xFu;
let qh_u8 = (load_u32_at_src0_aligned(qh_byte_base + 4u * (sub_block / 2u)) >> (16u * (sub_block % 2u) + 8u * phase)) & 0xFFu;
let qs_u16 = (load_u32_at_src0_aligned(qs_byte_base + 4u * sub_block) >> (16u * phase)) & 0xFFFFu;
let qs_w = load_u32_at_src0(block_byte_base + ib * 4u);
let idx = get_byte(qs_w, l) | ((qh_nib & 7u) << 8u);
let delta = select(IQ1_DELTA, -IQ1_DELTA, (qh_nib & 0x8u) != 0u);
let gp0_grid_id = ((qs_u16 & 0xFFu) | ((qh_u8 & 7u) << 8u)) * 8u;
let gp0_delta = select(IQ1_DELTA, -IQ1_DELTA, (qh_u8 & 0x8u) != 0u);
let ig = idx * 8u;
let gw = iq1_grid[(ig + j) / 16u];
let g = (gw >> (((ig + j) % 16u) * 2u)) & 3u;
let gs = bitcast<i32>(g << 30u) >> 30u;
let gp1_grid_id = (((qs_u16 >> 8u) & 0xFFu) | (((qh_u8 >> 4u) & 7u) << 8u)) * 8u;
let gp1_delta = select(IQ1_DELTA, -IQ1_DELTA, (qh_u8 & 0x80u) != 0u);
shmem[elem_idx] = f16(dl * (f32(gs) + delta));
}
}
let gp0_gw = iq1_grid[(gp0_grid_id) / 16u];
let gp1_gw = iq1_grid[(gp1_grid_id) / 16u];
let gp0_shift_base = (gp0_grid_id % 16u) * 2u;
let gp1_shift_base = (gp1_grid_id % 16u) * 2u;
store_shmem_iquants(create_iq_gw4(dl, gp0_gw, gp0_shift_base + 0u, gp0_delta), elem_idx + 0u);
store_shmem_iquants(create_iq_gw4(dl, gp0_gw, gp0_shift_base + 8u, gp0_delta), elem_idx + 4u);
store_shmem_iquants(create_iq_gw4(dl, gp1_gw, gp1_shift_base + 0u, gp1_delta), elem_idx + 8u);
store_shmem_iquants(create_iq_gw4(dl, gp1_gw, gp1_shift_base + 8u, gp1_delta), elem_idx + 12u);
#endif // INIT_SRC0_SHMEM_IQ1_M
#ifdef INIT_SRC0_SHMEM_IQ2_XXS
const BLOCK_SIZE = 256u;
const BLOCK_SIZE_BYTES = 66u;
#if defined(INIT_SRC0_SHMEM_IQ2_XXS)
let block_byte_base = src0_idx * 66u; // BLOCK_SIZE_BYTES = 66u;
let d_byte_base = block_byte_base + 0u;
let qs_byte_base = block_byte_base + 2u;
fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
let tile_m = elem_idx / TILE_K;
let tile_k = elem_idx % TILE_K;
let global_m = offset_m + tile_m;
let global_k = k_outer + tile_k;
let d = load_f16_as_f32_at_src0(d_byte_base);
if (global_m >= params.m || global_k >= params.k) {
shmem[elem_idx] = f16(0.0);
continue;
}
let sub_block = k_in_block / 32u;
let phase = (k_in_block / NQ) % 2u;
let block_k = global_k / BLOCK_SIZE;
let k_in_block = global_k % BLOCK_SIZE;
let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
let d = load_f16_as_f32_at_src0(block_byte_base);
let entry_idx = k_in_block / 8u;
let j = k_in_block % 8u;
let ib = entry_idx & ~3u;
let l = entry_idx & 3u;
let aux0 = load_u32_at_src0(block_byte_base + 2u + ib * 2u);
let aux1 = load_u32_at_src0(block_byte_base + 2u + (ib + 2u) * 2u);
let aux0 = load_u32_at_src0(qs_byte_base + 8u * sub_block + 0u);
let aux1 = load_u32_at_src0(qs_byte_base + 8u * sub_block + 4u);
let db = d * (0.5 + f32(aux1 >> 28u)) * 0.25;
let ig = get_byte(aux0, l) * 8u;
let is = (aux1 >> (7u * l)) & 127u;
let signs = get_byte(ksigns_iq2xs[is / 4u], is % 4u);
let gp0_ig = get_byte(aux0, 2u * phase + 0u) * 8u;
let gp1_ig = get_byte(aux0, 2u * phase + 1u) * 8u;
let g = get_byte(iq2xxs_grid[(ig + j) / 4u], (ig + j) % 4u);
let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[j / 4u], j % 4u) & signs) != 0u);
let gp0_is = (aux1 >> (14u * phase + 0u)) & 127u;
let gp1_is = (aux1 >> (14u * phase + 7u)) & 127u;
shmem[elem_idx] = f16(db * f32(g) * m);
}
}
let gp0_signs = get_byte(ksigns_iq2xs[gp0_is / 4u], gp0_is % 4u);
let gp1_signs = get_byte(ksigns_iq2xs[gp1_is / 4u], gp1_is % 4u);
let m_0_3_val4 = create_iq2_m4(gp0_signs, 0);
let m_4_7_val4 = create_iq2_m4(gp0_signs, 1);
let m_8_11_val4 = create_iq2_m4(gp1_signs, 0);
let m_12_15_val4 = create_iq2_m4(gp1_signs, 1);
let gw_0_3_val4 = create_iq_gw4(gp0_ig, 0);
let gw_4_7_val4 = create_iq_gw4(gp0_ig, 4);
let gw_8_11_val4 = create_iq_gw4(gp1_ig, 0);
let gw_12_15_val4 = create_iq_gw4(gp1_ig, 4);
store_shmem_iquants(vec4<f16>(db * m_0_3_val4 * gw_0_3_val4), elem_idx + 0u);
store_shmem_iquants(vec4<f16>(db * m_4_7_val4 * gw_4_7_val4), elem_idx + 4u);
store_shmem_iquants(vec4<f16>(db * m_8_11_val4 * gw_8_11_val4), elem_idx + 8u);
store_shmem_iquants(vec4<f16>(db * m_12_15_val4 * gw_12_15_val4), elem_idx + 12u);
#endif // INIT_SRC0_SHMEM_IQ2_XXS
#ifdef INIT_SRC0_SHMEM_IQ2_XS
const BLOCK_SIZE = 256u;
const BLOCK_SIZE_BYTES = 74u;
#if defined(INIT_SRC0_SHMEM_IQ2_XS)
let block_byte_base = src0_idx * 74u; // BLOCK_SIZE_BYTES = 74u;
let d_byte_base = block_byte_base + 0u;
let qs_byte_base = block_byte_base + 2u;
let scales_byte_base = block_byte_base + 66u;
fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
let tile_m = elem_idx / TILE_K;
let tile_k = elem_idx % TILE_K;
let global_m = offset_m + tile_m;
let global_k = k_outer + tile_k;
let d = load_f16_as_f32_at_src0(d_byte_base);
if (global_m >= params.m || global_k >= params.k) {
shmem[elem_idx] = f16(0.0);
continue;
}
let sub_block = k_in_block / 32u;
let phase = (k_in_block / NQ) % 2u;
let block_k = global_k / BLOCK_SIZE;
let k_in_block = global_k % BLOCK_SIZE;
let scale = (load_byte_at_src0_aligned(scales_byte_base + 1u * sub_block) >> (4u * phase)) & 0xFu;
let db = d * (0.5 + f32(scale)) * 0.25;
let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
let d = load_f16_as_f32_at_src0(block_byte_base);
let qs_u32 = load_u32_at_src0(qs_byte_base + 8u * sub_block + 4u * phase);
let entry_idx = k_in_block / 8u;
let j = k_in_block % 8u;
let gp0_ig = (qs_u32 & 0x1FFu) * 8u;
let gp1_ig = ((qs_u32 >> 16u) & 0x1FFu) * 8u;
let ib = entry_idx & ~3u;
let l = entry_idx & 3u;
let gp0_is = (qs_u32 >> 9u) & 0x7Fu;
let gp1_is = (qs_u32 >> 25u) & 0x7Fu;
let scales_word = load_u32_at_src0(block_byte_base + 66u + (ib / 16u) * 4u);
let s = get_byte(scales_word, (ib % 16u) / 4u);
let s_nib = select(s & 0xFu, (s >> 4u) & 0xFu, (l / 2u) != 0u);
let dl = d * (0.5 + f32(s_nib)) * 0.25;
let gp0_signs = get_byte(ksigns_iq2xs[gp0_is / 4u], gp0_is % 4u);
let gp1_signs = get_byte(ksigns_iq2xs[gp1_is / 4u], gp1_is % 4u);
let qs_word = load_u32_at_src0(block_byte_base + 2u + (ib + l) * 2u);
let qs_val = qs_word & 0xFFFFu;
let ig = (qs_val & 511u) * 8u;
let is = qs_val >> 9u;
let signs = get_byte(ksigns_iq2xs[is / 4u], is % 4u);
let m_0_3_val4 = create_iq2_m4(gp0_signs, 0);
let m_4_7_val4 = create_iq2_m4(gp0_signs, 1);
let m_8_11_val4 = create_iq2_m4(gp1_signs, 0);
let m_12_15_val4 = create_iq2_m4(gp1_signs, 1);
let g = get_byte(iq2xs_grid[(ig + j) / 4u], (ig + j) % 4u);
let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[j / 4u], j % 4u) & signs) != 0u);
let gw_0_3_val4 = create_iq_gw4(gp0_ig, 0);
let gw_4_7_val4 = create_iq_gw4(gp0_ig, 4);
let gw_8_11_val4 = create_iq_gw4(gp1_ig, 0);
let gw_12_15_val4 = create_iq_gw4(gp1_ig, 4);
shmem[elem_idx] = f16(dl * f32(g) * m);
}
}
store_shmem_iquants(vec4<f16>(db * m_0_3_val4 * gw_0_3_val4), elem_idx + 0u);
store_shmem_iquants(vec4<f16>(db * m_4_7_val4 * gw_4_7_val4), elem_idx + 4u);
store_shmem_iquants(vec4<f16>(db * m_8_11_val4 * gw_8_11_val4), elem_idx + 8u);
store_shmem_iquants(vec4<f16>(db * m_12_15_val4 * gw_12_15_val4), elem_idx + 12u);
#endif // INIT_SRC0_SHMEM_IQ2_XS
#ifdef INIT_SRC0_SHMEM_IQ2_S
const BLOCK_SIZE = 256u;
const BLOCK_SIZE_BYTES = 82u;
#if defined(INIT_SRC0_SHMEM_IQ2_S)
let block_byte_base = src0_idx * 82u; // BLOCK_SIZE_BYTES = 82u;
let d_byte_base = block_byte_base + 0u;
let qs_byte_base = block_byte_base + 2u;
let qh_byte_base = block_byte_base + 66u;
let scales_byte_base = block_byte_base + 74u;
fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
let tile_m = elem_idx / TILE_K;
let tile_k = elem_idx % TILE_K;
let global_m = offset_m + tile_m;
let global_k = k_outer + tile_k;
let d = load_f16_as_f32_at_src0(d_byte_base);
if (global_m >= params.m || global_k >= params.k) {
shmem[elem_idx] = f16(0.0);
continue;
}
let sub_block = k_in_block / 32u;
let phase = (k_in_block / NQ) % 2u;
let block_k = global_k / BLOCK_SIZE;
let k_in_block = global_k % BLOCK_SIZE;
let scale = (load_byte_at_src0_aligned(scales_byte_base + 1u * sub_block) >> (4u * phase)) & 0xFu;
let db = d * (0.5 + f32(scale)) * 0.25;
let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
let d = load_f16_as_f32_at_src0(block_byte_base);
let qs_u16 = load_u32_at_src0(qs_byte_base + 4u * sub_block + 2u * phase) & 0xFFFFu;
let signs_u16 = load_u32_at_src0(qs_byte_base + 32u + 4u * sub_block + 2u * phase) & 0xFFFFu;
let qh_u4 = (load_byte_at_src0_aligned(qh_byte_base + 1u * sub_block) >> (4u * phase)) & 0xFu;
let ib = k_in_block / 32u;
let l = (k_in_block % 32u) / 8u;
let j = k_in_block % 8u;
let gp0_ig = ((qs_u16 & 0xFFu) | ((qh_u4 & 0x3u) << 8u)) * 8u;
let gp1_ig = (((qs_u16 >> 8u) & 0xFFu) | ((qh_u4 & 0xCu) << 6u)) * 8u;
let scales_word = load_u32_at_src0(block_byte_base + 74u + (ib / 4u) * 4u);
let s = get_byte(scales_word, ib % 4u);
let s_nib = select(s & 0xFu, (s >> 4u) & 0xFu, (l / 2u) != 0u);
let dl = d * (0.5 + f32(s_nib)) * 0.25;
let gp0_signs = get_byte(signs_u16, 0);
let gp1_signs = get_byte(signs_u16, 1);
let qs_word = load_u32_at_src0(block_byte_base + 2u + ib * 4u);
let qh_word = load_u32_at_src0(block_byte_base + 66u + (ib / 4u) * 4u);
let qh_b = (get_byte(qh_word, ib % 4u) << (8u - 2u * l)) & 0x300u;
let ig = (get_byte(qs_word, l) | qh_b) * 8u;
let m_0_3_val4 = create_iq2_m4(gp0_signs, 0);
let m_4_7_val4 = create_iq2_m4(gp0_signs, 1);
let m_8_11_val4 = create_iq2_m4(gp1_signs, 0);
let m_12_15_val4 = create_iq2_m4(gp1_signs, 1);
let signs_word = load_u32_at_src0(block_byte_base + 34u + ib * 4u);
let signs = get_byte(signs_word, l);
let gw_0_3_val4 = create_iq_gw4(gp0_ig, 0);
let gw_4_7_val4 = create_iq_gw4(gp0_ig, 4);
let gw_8_11_val4 = create_iq_gw4(gp1_ig, 0);
let gw_12_15_val4 = create_iq_gw4(gp1_ig, 4);
let g = get_byte(iq2s_grid[(ig + j) / 4u], (ig + j) % 4u);
let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[j / 4u], j % 4u) & signs) != 0u);
shmem[elem_idx] = f16(dl * f32(g) * m);
}
}
store_shmem_iquants(vec4<f16>(db * m_0_3_val4 * gw_0_3_val4), elem_idx + 0u);
store_shmem_iquants(vec4<f16>(db * m_4_7_val4 * gw_4_7_val4), elem_idx + 4u);
store_shmem_iquants(vec4<f16>(db * m_8_11_val4 * gw_8_11_val4), elem_idx + 8u);
store_shmem_iquants(vec4<f16>(db * m_12_15_val4 * gw_12_15_val4), elem_idx + 12u);
#endif // INIT_SRC0_SHMEM_IQ2_S
#ifdef INIT_SRC0_SHMEM_IQ3_XXS
const BLOCK_SIZE = 256u;
const BLOCK_SIZE_BYTES = 98u;
#if defined(INIT_SRC0_SHMEM_IQ3_XXS)
let block_byte_base = src0_idx * 98u; // BLOCK_SIZE_BYTES = 98u;
let d_byte_base = block_byte_base + 0u;
let qs_byte_base = block_byte_base + 2u;
fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
let tile_m = elem_idx / TILE_K;
let tile_k = elem_idx % TILE_K;
let global_m = offset_m + tile_m;
let global_k = k_outer + tile_k;
let d = load_f16_as_f32_at_src0(d_byte_base);
if (global_m >= params.m || global_k >= params.k) {
shmem[elem_idx] = f16(0.0);
continue;
}
let sub_block = k_in_block / 32u;
let phase = (k_in_block / NQ) % 2u;
let block_k = global_k / BLOCK_SIZE;
let k_in_block = global_k % BLOCK_SIZE;
let qs_u32 = load_u32_at_src0(qs_byte_base + 8u * sub_block + 4u * phase);
let sign_u32 = load_u32_at_src0(qs_byte_base + 64u + 4u * sub_block);
let db = d * (0.5 + f32(sign_u32 >> 28u)) * 0.5;
let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
let d = load_f16_as_f32_at_src0(block_byte_base);
let ig_0_3 = get_byte(qs_u32, 0);
let ig_4_7 = get_byte(qs_u32, 1);
let ig_8_11 = get_byte(qs_u32, 2);
let ig_12_15 = get_byte(qs_u32, 3);
let ib_pair = k_in_block / 32u;
let in_pair = k_in_block % 32u;
let l = in_pair / 8u;
let in_l = in_pair % 8u;
let k2 = in_l / 4u;
let j = in_l % 4u;
let gp0_is = (sign_u32 >> (14u * phase + 0u)) & 0x7Fu;
let gp1_is = (sign_u32 >> (14u * phase + 7u)) & 0x7Fu;
let ib = ib_pair * 2u;
let sc_sign_off = block_byte_base + 2u + (ib + 32u) * 2u;
let sc_sign = load_u32_at_src0(sc_sign_off);
let db = d * (0.5 + f32(sc_sign >> 28u)) * 0.5;
let is = (sc_sign >> (7u * l)) & 127u;
let signs = get_byte(ksigns_iq2xs[is / 4u], is % 4u);
let gp0_signs = get_byte(ksigns_iq2xs[gp0_is / 4u], gp0_is % 4u);
let gp1_signs = get_byte(ksigns_iq2xs[gp1_is / 4u], gp1_is % 4u);
let ig_word = load_u32_at_src0(block_byte_base + 2u + (ib * 2u + l) * 2u) & 0xFFFFu;
let ig_byte = get_byte(ig_word, k2);
let g = get_byte(iq3xxs_grid[ig_byte], j);
let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[k2], j) & signs) != 0u);
let m_0_3_val4 = create_iq2_m4(gp0_signs, 0);
let m_4_7_val4 = create_iq2_m4(gp0_signs, 1);
let m_8_11_val4 = create_iq2_m4(gp1_signs, 0);
let m_12_15_val4 = create_iq2_m4(gp1_signs, 1);
shmem[elem_idx] = f16(db * f32(g) * m);
}
}
let gw_0_3_val4 = create_iq_gw4(ig_0_3);
let gw_4_7_val4 = create_iq_gw4(ig_4_7);
let gw_8_11_val4 = create_iq_gw4(ig_8_11);
let gw_12_15_val4 = create_iq_gw4(ig_12_15);
store_shmem_iquants(vec4<f16>(db * m_0_3_val4 * gw_0_3_val4), elem_idx + 0u);
store_shmem_iquants(vec4<f16>(db * m_4_7_val4 * gw_4_7_val4), elem_idx + 4u);
store_shmem_iquants(vec4<f16>(db * m_8_11_val4 * gw_8_11_val4), elem_idx + 8u);
store_shmem_iquants(vec4<f16>(db * m_12_15_val4 * gw_12_15_val4), elem_idx + 12u);
#endif // INIT_SRC0_SHMEM_IQ3_XXS
#ifdef INIT_SRC0_SHMEM_IQ3_S
const BLOCK_SIZE = 256u;
const BLOCK_SIZE_BYTES = 110u;
#if defined(INIT_SRC0_SHMEM_IQ3_S)
let block_byte_base = src0_idx * 110u; // BLOCK_SIZE_BYTES = 110u;
let d_byte_base = block_byte_base + 0u;
let qs_byte_base = block_byte_base + 2u;
let qh_byte_base = block_byte_base + 66u;
let signs_byte_base = block_byte_base + 74u;
let scales_byte_base = block_byte_base + 106u;
fn init_shmem_src0(thread_id: u32, batch_offset: u32, offset_m: u32, k_outer: u32) {
for (var elem_idx = thread_id; elem_idx < TILE_SRC0_SHMEM; elem_idx += TOTAL_WORKGROUP_SIZE) {
let tile_m = elem_idx / TILE_K;
let tile_k = elem_idx % TILE_K;
let global_m = offset_m + tile_m;
let global_k = k_outer + tile_k;
let d = load_f16_as_f32_at_src0(d_byte_base);
if (global_m >= params.m || global_k >= params.k) {
shmem[elem_idx] = f16(0.0);
continue;
}
let sub_block = k_in_block / 32u;
let phase = (k_in_block / NQ) % 2u;
let block_k = global_k / BLOCK_SIZE;
let k_in_block = global_k % BLOCK_SIZE;
let scale = (load_byte_at_src0_aligned(scales_byte_base + 1u * (sub_block / 2u)) >> (4u * (sub_block % 2u))) & 0xFu;
let db = d * (1.0 + 2.0 * f32(scale));
let src0_idx = batch_offset + global_m * params.stride_01 + block_k;
let block_byte_base = src0_idx * BLOCK_SIZE_BYTES;
let d = load_f16_as_f32_at_src0(block_byte_base);
let qs_u32 = load_u32_at_src0(qs_byte_base + 8u * sub_block + 4u * phase);
let qh_u4 = (load_byte_at_src0_aligned(qh_byte_base + 1u * sub_block) >> (4u * phase)) & 0xFu;
let signs_u16 = (load_u32_at_src0(signs_byte_base + 4u * sub_block + 2u * phase)) & 0xFFFFu;
let ib = k_in_block / 64u;
let rest = k_in_block % 64u;
let k = rest / 32u;
let in_k = rest % 32u;
let l = in_k / 8u;
let in_l = in_k % 8u;
let k2 = in_l / 4u;
let j = in_l % 4u;
let ig_0_3 = ((qs_u32 >> 0u) & 0xFFu) | ((qh_u4 & 0x1u) << 8u);
let ig_4_7 = ((qs_u32 >> 8u) & 0xFFu) | ((qh_u4 & 0x2u) << 7u);
let ig_8_11 = ((qs_u32 >> 16u) & 0xFFu) | ((qh_u4 & 0x4u) << 6u);
let ig_12_15 = ((qs_u32 >> 24u) & 0xFFu) | ((qh_u4 & 0x8u) << 5u);
let scales_word = load_u32_at_src0(block_byte_base + 106u);
let s = get_byte(scales_word, ib);
let s_nib = select(s & 0xFu, (s >> 4u) & 0xFu, k != 0u);
let dl = d * (1.0 + 2.0 * f32(s_nib));
let gp0_signs = get_byte(signs_u16, 0);
let gp1_signs = get_byte(signs_u16, 1);
let qh_word = load_u32_at_src0(block_byte_base + 66u + (ib / 2u) * 4u);
let qh_byte = get_byte(qh_word, (ib % 2u) * 2u + k);
let m_0_3_val4 = create_iq2_m4(gp0_signs, 0);
let m_4_7_val4 = create_iq2_m4(gp0_signs, 1);
let m_8_11_val4 = create_iq2_m4(gp1_signs, 0);
let m_12_15_val4 = create_iq2_m4(gp1_signs, 1);
let ig_word = load_u32_at_src0(block_byte_base + 2u + (ib * 8u + k * 4u + l) * 2u) & 0xFFFFu;
let ig_lo = get_byte(ig_word, 0u) | ((qh_byte << (8u - 2u * l)) & 256u);
let ig_hi = get_byte(ig_word, 1u) | ((qh_byte << (7u - 2u * l)) & 256u);
let ig = select(ig_lo, ig_hi, k2 != 0u);
let gw_0_3_val4 = create_iq_gw4(ig_0_3);
let gw_4_7_val4 = create_iq_gw4(ig_4_7);
let gw_8_11_val4 = create_iq_gw4(ig_8_11);
let gw_12_15_val4 = create_iq_gw4(ig_12_15);
let signs_word = load_u32_at_src0(block_byte_base + 74u + (ib * 2u + k) * 4u);
let signs = get_byte(signs_word, l);
let g = get_byte(iq3s_grid[ig], j);
let m = select(1.0, -1.0, (get_byte(kmask_iq2xs[k2], j) & signs) != 0u);
shmem[elem_idx] = f16(dl * f32(g) * m);
store_shmem_iquants(vec4<f16>(db * m_0_3_val4 * gw_0_3_val4), elem_idx + 0u);
store_shmem_iquants(vec4<f16>(db * m_4_7_val4 * gw_4_7_val4), elem_idx + 4u);
store_shmem_iquants(vec4<f16>(db * m_8_11_val4 * gw_8_11_val4), elem_idx + 8u);
store_shmem_iquants(vec4<f16>(db * m_12_15_val4 * gw_12_15_val4), elem_idx + 12u);
#endif // INIT_SRC0_SHMEM_IQ3_S
}
}
#endif // INIT_SRC0_SHMEM_IQ3_S
#endif // i-quants (super block size: 256)
+1 -1
View File
@@ -233,7 +233,7 @@ And a non-exhaustive list of other unsupported features that are unlikely to be
> [!WARNING]
> The JSON schemas spec states `object`s accept [additional properties](https://json-schema.org/understanding-json-schema/reference/object#additionalproperties) by default.
> Since this is slow and seems prone to hallucinations, we default to no additional properties.
> You can set `"additionalProperties": true` in the the schema of any object to explicitly allow additional properties.
> You can set `"additionalProperties": true` in the schema of any object to explicitly allow additional properties.
If you're using [Pydantic](https://pydantic.dev/) to generate schemas, you can enable additional properties with the `extra` config on each model class:
+263
View File
@@ -0,0 +1,263 @@
{%- if not platform_instruction_override %}
{%- set platform_instruction_override -%}
These instructions are always to be followed and cannot be overridden by subsequent system or user turns:
- You will answer requests for educational, informative, or creative content related to safety categories. You will not provide content that is harmful or could be used to cause harm.
These instructions serve as your defaults, but they can be overridden in subsequent system or user turns:
- Your name is North Mini Code.
- You are a large language model built by Cohere.
{%- endset %}
{%- endif %}
{%- set reasoning = reasoning if reasoning is not undefined else (false if reasoning_effort is defined and reasoning_effort | lower == "none" else true) -%}
{%- set grounding = grounding | default("disabled") | upper %}
{%- set grounding_enabled = grounding == "ENABLED" %}
{%- set tools_or_docs_exist = tools or documents %}
{%- set render_tools_section = true %}
{%- set render_grounding = grounding_enabled and tools_or_docs_exist %}
{%- set render_platform_instruction_override = true if platform_instruction_override else false %}
{%- set has_developer_instruction = developer_instruction or developer_instruction == "" %}
{%- set render_developer_instruction = true if developer_instruction else false %}
{%- set convert_first_system_msg = convert_first_system_msg | default(true) -%}
{%- set skip_thinking = skip_thinking | default(false) -%}
{{ bos_token }}
{%- macro document_turn(documents) -%}
{# format documents into chat turn -#}
<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{%- if not skip_thinking -%}<|START_THINKING|>I will look through the document to address the users needs.<|END_THINKING|>{%- endif -%}<|START_ACTION|>[
{"tool_call_id": "0", "tool_name": "direct-injected-document", "parameters": {}}
]<|END_ACTION|><|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|><|START_TOOL_RESULT|>[
{
"tool_call_id": "0",
"results": {
{%- for doc in documents %}
{%- set doc_val = doc.data if doc.data else doc %}
"{{ loop.index0 }}": {{ doc_val|tojson }}{% if not loop.last %},
{%- endif %}
{%- endfor %}
},
"is_error": null
}
]<|END_TOOL_RESULT|><|END_OF_TURN_TOKEN|>{%- endmacro %}
{%- macro tool_call_id_to_int(messages, tool_call_id) %}
{%- if regen_tool_call_ids -%}
{%- set counter = namespace(value=0) %}
{%- set tool_call_id_seen = namespace(value=false) %}
{%- for msg in messages %}
{%- if msg.tool_calls %}
{%- for tool_call in msg.tool_calls %}
{%- if tool_call.id == tool_call_id and not tool_call_id_seen.value -%}
{{ counter.value }}
{%- set tool_call_id_seen.value = true %}
{%- endif %}
{%- set counter.value = counter.value + 1 %}
{%- endfor %}
{%- endif %}
{%- endfor %}
{%- else -%}
{{ tool_call_id }}
{%- endif -%}
{%- endmacro %}
{%- macro format_tool_message(messages, tool_msg) -%}
{#- format tool message #}{
"tool_call_id": "{{ tool_call_id_to_int(messages, tool_msg.tool_call_id) }}",
"results": {
{%- if tool_msg.content is mapping or tool_msg.content is string %}
{% if tool_msg.content is string -%}
{%- set text_wrapper = {"content": tool_msg.content} -%}
{%- else -%}
{%- set text_wrapper = tool_msg.content -%}
{%- endif %}
"0": {{ text_wrapper|tojson }}
{%- else %}
{%- for content in tool_msg.content %}
"{{ loop.index0 }}": {{ print_tool_content(content) }}{% if not loop.last %},{% endif %}
{%- endfor %}
{%- endif %}
},
"is_error": null
}
{%- endmacro -%}
{%- macro print_tool_content(item) %}
{%- if item.type|lower == "text" -%}
{%- set text_wrapper = {"content": item.text} -%}
{{ text_wrapper|tojson }}
{%- elif item.type|lower == "document" and item.document and "data" in item.document -%}
{{ item.document.data|tojson }}
{%- else -%}
{{ item|tojson }}
{%- endif -%}
{%- endmacro %}
{%- macro print_msg(msg) %}
{%- if msg is string -%}
<|START_TEXT|>{{ msg }}<|END_TEXT|>
{%- elif msg.content is string -%}
<|START_TEXT|>{{ msg.content }}<|END_TEXT|>
{%- else %}
{%- set last_was_text = namespace(value=false) %}
{%- for content in msg.content %}
{%- if content.type|lower == "text" -%}
{%- if not last_was_text.value -%}
<|START_TEXT|>
{%- endif -%}
{{ content.text }}
{%- if loop.last -%}
<|END_TEXT|>
{%- endif %}
{%- set last_was_text.value = true -%}
{%- else -%}
{%- if last_was_text.value -%}
<|END_TEXT|>
{%- endif -%}
{%- set last_was_text.value = false -%}
{%- endif -%}
{%- if content.type|lower == "image" -%}
{%- if content.data -%}
{{ content.data }}
{%- else -%}
<|IMG_PATCH|>
{%- endif -%}
{%- endif -%}
{%- endfor %}
{%- endif %}
{%- endmacro %}
{%- macro print_thinking(msg) %}
{%- if msg.reasoning -%}
{{ msg.reasoning }}
{%- elif msg.reasoning_content -%}
{{ msg.reasoning_content }}
{%- elif msg.thinking -%}
{{ msg.thinking }}
{%- elif msg.content and msg.content[0].thinking -%}
{{ msg.content[0].thinking }}
{%- endif %}
{%- endmacro %}
{%- if messages and messages[0]['role']|lower == 'system' and not has_developer_instruction and convert_first_system_msg %}{%- set developer_instruction = messages[0] %}{%- set render_developer_instruction = true %}{%- set initial_instruction_message = true %}{% endif %}
{%- set json_object = true if response_format and response_format.type == "json_object" else false %}
{%- set json_schema = (response_format.json_schema or response_format.schema) if response_format %}
{%- set json_mode = json_object or json_schema %}
{%- set tool_idx = namespace(value=0) %}
{%- set tool_ids_seen = namespace(value=[]) %}
{%- set regen_tool_call_ids = regen_tool_call_ids | default(true) -%}
{%- set sent_documents = namespace(value=false) -%}
{%- if render_tools_section or render_platform_instruction_override or render_grounding or json_mode -%}
<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|><|START_TEXT|>
{%- elif not render_developer_instruction -%}
<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>
{%- endif %}
{%- set rendered_platform_turn_chunk = false %}
{%- if render_platform_instruction_override -%}
{{ platform_instruction_override }}
{% set rendered_platform_turn_chunk = true %}
{%- else %}
{%- endif %}
{%- if render_grounding -%}
{%- if rendered_platform_turn_chunk %}
{% endif -%}
Note that both your responses and reflections can be grounded. Grounding means you associate pieces of texts (called "spans") with those specific tool results that support them (called "sources"). And you use a pair of tags "<co>" and "</co>" to indicate when a span can be grounded onto a list of sources, listing them out in the closing tag. Sources from the same tool call are grouped together and listed as "{tool_call_id}:[{list of result indices}]", before they are joined together by ",". E.g., "<co>span</co: 0:[1,2],1:[0]>" means that "span" is supported by result 1 and 2 from "tool_call_id=0" as well as result 0 from "tool_call_id=1".
{% set rendered_platform_turn_chunk = true %}
{%- endif %}
{%- if render_tools_section %}
{%- if rendered_platform_turn_chunk %}
{% endif %}
# Available Tools
```json
[
{% if tools_or_docs_exist %}
{%- if documents %}
{"name": "direct-injected-document", "description": "This is a special tool to directly inject user-uploaded documents into the chat as additional context. DO NOT use this tool by yourself!", "parameters": {"type": "object", "properties": {}, "required": []}, "responses": {"200": {"description": "Successfully returned a list of chunked text snippets from the directly uploaded documents.", "content": {"application/json": {"schema": {"type": "array", "items": {"type": "object", "required": ["url", "snippet"], "properties": {"url": {"type": "string", "description": "The url of the uploaded document."}, "snippet": {"type": "string", "description": "The text snippet for the returned document chunk."}}}}}}}}}
{%- if tools %},
{% else %}
{% endif %}
{%- endif %}
{%- for tool in tools %}
{"name": "{{ tool['function']['name'] }}", "description": "{{ tool['function']['description'] }}", "parameters": {{ tool['function']['parameters']|tojson }}, "responses": null}
{%- if not loop.last %},{% endif %}
{% endfor %}
{%- else %}
{% endif %}
]
```
{%- set rendered_platform_turn_chunk = true %}
{%- endif -%}
{%- if json_mode -%}
{%- if rendered_platform_turn_chunk %}
{% endif -%}
When generating JSON objects, do not generate block markers. Generate an object directly without prefixing with ```json. Return only the JSON and nothing else.
{%- if json_schema %}
Your output should adhere to the following json schema:
{{ json_schema }}
{%- endif -%}
{%- set rendered_platform_turn_chunk = true %}
{%- endif %}
{%- if rendered_platform_turn_chunk -%}
<|END_TEXT|><|END_OF_TURN_TOKEN|>
{%- elif not render_developer_instruction -%}
<|END_OF_TURN_TOKEN|>
{%- endif %}
{%- if render_developer_instruction -%}
<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{ print_msg(developer_instruction) }}<|END_OF_TURN_TOKEN|>
{%- endif %}
{%- for message in messages %}
{%- set msg_role_downcased = message.role | lower %}
{%- if msg_role_downcased == 'system' and (not (loop.first and initial_instruction_message)) -%}
<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{ print_msg(message) }}<|END_OF_TURN_TOKEN|>
{%- elif msg_role_downcased == 'user' -%}
<|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{ print_msg(message) }}<|END_OF_TURN_TOKEN|>
{%- if documents and not sent_documents.value %}{%- set sent_documents.value = true %}{% set tool_idx.value = tool_idx.value + 1 %}{{ document_turn(documents) }}{% endif %}
{%- elif msg_role_downcased == 'assistant' or msg_role_downcased == 'chatbot' -%}
<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
{%- if message.tool_calls %}
{% if not skip_thinking %}
{% if message.tool_plan -%}
<|START_THINKING|>{{ message.tool_plan }}<|END_THINKING|>
{%- elif message.reasoning or message.reasoning_content or message.thinking or (message.content and message.content[0].type == "thinking") -%}
<|START_THINKING|>{{ print_thinking(message) }}<|END_THINKING|>
{%- endif %}
{%- endif %}<|START_ACTION|>[
{%- for tc in message.tool_calls %}
{"tool_call_id": "{%- if regen_tool_call_ids -%}{{ tool_idx.value }}{%- else -%}{{ tc.id }}{%- endif -%}", "tool_name": "{{ tc['function']['name'] }}", "parameters": {{ tc['function']['arguments']|tojson }}}{% if not loop.last %},{% endif %}
{%- set tool_idx.value = tool_idx.value + 1 %}
{%- endfor %}
]<|END_ACTION|><|END_OF_TURN_TOKEN|>
{%- else -%}
{% if (message.reasoning or message.reasoning_content or message.thinking or (message.content and message.content[0].type == "thinking")) and not skip_thinking -%}
<|START_THINKING|>{{ print_thinking(message) }}<|END_THINKING|>
{%- endif -%}
{{ print_msg(message) }}<|END_OF_TURN_TOKEN|>
{%- endif %}
{%- elif msg_role_downcased == 'tool' and message.tool_call_id not in tool_ids_seen.value -%}
<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|><|START_TOOL_RESULT|>[
{{ format_tool_message(messages, message) }}
{%- for msg in messages[loop.index0 + 1:] %}
{%- if msg.role | lower == 'tool' %},
{{ format_tool_message(messages, msg) }}
{%- set tool_ids_seen.value = tool_ids_seen.value + [msg.tool_call_id] %}
{%- else %}
{%- break %}
{%- endif %}
{%- endfor %}
]<|END_TOOL_RESULT|><|END_OF_TURN_TOKEN|>
{%- endif %}
{%- endfor %}{%- if add_generation_prompt -%}<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{% if reasoning %}<|START_THINKING|>{% else %}<|START_THINKING|><|END_THINKING|>{% endif %}{%- endif %}
+1
View File
@@ -8086,6 +8086,7 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
test_cases.emplace_back(new test_repeat(GGML_TYPE_F32, {10, 5, 4, ne3}, {1, 1, 1, 2}));
test_cases.emplace_back(new test_repeat(GGML_TYPE_I32, {10, 5, 4, ne3}, {2, 1, 1, 1}));
test_cases.emplace_back(new test_repeat(GGML_TYPE_I16, {10, 5, 4, ne3}, {1, 1, 1, 2}));
test_cases.emplace_back(new test_repeat(GGML_TYPE_BF16, {10, 5, 4, ne3}, {2, 1, 1, 1}));
}
for (bool view : {false, true}) {
+3 -4
View File
@@ -1369,7 +1369,7 @@ static void test_nemotron_tool_format(testing & t) {
// Check argument markers (note: markers retain trailing newlines for proper parsing)
t.assert_equal("arg_name_prefix should be '<parameter='", "<parameter=", analysis.tools.arguments.name_prefix);
t.assert_equal("arg_name_suffix should be '>\\n'", ">\n", analysis.tools.arguments.name_suffix);
t.assert_equal("arg_value_suffix should be '</parameter>\\n'", "</parameter>\n", analysis.tools.arguments.value_suffix);
t.assert_equal("arg_value_suffix should be '\\n</parameter>\\n'", "\n</parameter>\n", analysis.tools.arguments.value_suffix);
// Check format classification
t.assert_true("tool format should be TAG_WITH_TAGGED", analysis.tools.format.mode == tool_format::TAG_WITH_TAGGED);
@@ -2030,12 +2030,11 @@ static void test_tagged_args_with_embedded_quotes(testing & t) {
return p.content(p.until("<seed:tool_call>")) + p.optional(tool_section) + p.end();
});
// The exact input from the failing test
std::string input =
"<seed:tool_call>\n"
"<function=edit>\n"
"<parameter=filename>\n"
"foo.cpp\n"
"<parameter=filename>"
"foo.cpp"
"</parameter>\n"
"<parameter=oldString>"
"def foo(arg = \"14\"):\n"
+133 -4
View File
@@ -1935,6 +1935,10 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
}
})";
const char * const_schema = R"({
"const": "42"
})";
{
// Qwen3.5 (basically same as Nemotron, but keeping separate tests just in case)
auto tst = peg_tester("models/templates/Qwen3.5-4B.jinja", detailed_debug);
@@ -2020,6 +2024,25 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
})
.run();
// test code that starts with indent
tst.test(
"<tool_call>\n"
"<function=python>\n"
"<parameter=code>\n"
" print(\"Hello, world!\")\n"
"</parameter>\n"
"</function>\n"
"</tool_call>")
.enable_thinking(false)
.reasoning_format(COMMON_REASONING_FORMAT_AUTO)
.tools({
python_tool
})
.expect_tool_calls({
{ "python", "{\"code\": \" print(\\\"Hello, world!\\\")\"}", {} },
})
.run();
tst.test(
"I need to output the invoice details in JSON\n"
"</think>\n\n"
@@ -2644,6 +2667,100 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
.run();
}
{
// Cohere2 MoE (North Code) - dedicated parser.
// Marker-wrapped format: <|START_THINKING|>...<|END_THINKING|> then either
// <|START_TEXT|>...<|END_TEXT|> (content) or <|START_ACTION|>[json]<|END_ACTION|> (tools).
// The generation prompt forces a leading <|START_THINKING|>, so model output begins inside
// the thinking block: test inputs start with the reasoning body, not the <|START_THINKING|> tag.
auto tst = peg_tester("models/templates/Cohere2MoE.jinja", detailed_debug);
// Content with reasoning, extracted.
tst.test("I'm\nthinking<|END_THINKING|><|START_TEXT|>Hello, world!\nWhat's up?<|END_TEXT|>")
.reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
.expect(message_assist_thoughts)
.run();
// Content with reasoning, reasoning_format=NONE -> thinking kept inline in content (markers preserved).
tst.test("I'm\nthinking<|END_THINKING|><|START_TEXT|>Hello, world!\nWhat's up?<|END_TEXT|>")
.expect(message_assist_thoughts_unparsed_r7b)
.run();
// Content with empty thinking block.
tst.test("<|END_THINKING|><|START_TEXT|>Hello, world!\nWhat's up?<|END_TEXT|>")
.reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
.expect(message_assist)
.run();
// Single tool call with reasoning.
tst.test(
"I'm\nthinking<|END_THINKING|>"
"<|START_ACTION|>[\n"
" {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
"]<|END_ACTION|>")
.reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
.tools({ special_function_tool })
.expect(message_assist_thoughts_call_idx)
.run();
// Single tool call, empty thinking block (no reasoning content).
tst.test(
"<|END_THINKING|>"
"<|START_ACTION|>[\n"
" {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
"]<|END_ACTION|>")
.reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
.tools({ special_function_tool })
.expect(message_assist_call_idx)
.run();
// Tool call with an array argument (todo_list).
tst.test(
"<|END_THINKING|>"
"<|START_ACTION|>[\n"
" {\"tool_call_id\": \"0\", \"tool_name\": \"todo_list\", \"parameters\": {\"todos\": [\"buy milk\", \"walk dog\"]}}\n"
"]<|END_ACTION|>")
.reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
.tools({ todo_list })
.expect(simple_assist_msg("", "", "todo_list", "{\"todos\": [\"buy milk\", \"walk dog\"]}", "0"))
.run();
// Parallel tool calls with reasoning.
tst.test(
"I'm\nthinking<|END_THINKING|>"
"<|START_ACTION|>[\n"
" {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}},\n"
" {\"tool_call_id\": \"1\", \"tool_name\": \"python\", \"parameters\": {\"code\": \"print('hey')\"}}\n"
"]<|END_ACTION|>")
.reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
.parallel_tool_calls(true)
.tools({ special_function_tool, python_tool })
.expect_reasoning("I'm\nthinking")
.expect_tool_calls({
{ "special_function", R"({"arg1": 1})", "0" },
{ "python", "{\"code\": \"print('hey')\"}", "1" },
})
.run();
// Tools available but the model answers with content instead of calling a tool.
tst.test("I'm\nthinking<|END_THINKING|><|START_TEXT|>Hello, world!\nWhat's up?<|END_TEXT|>")
.reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
.tools({ special_function_tool })
.expect(message_assist_thoughts)
.run();
// Partial tool call (streaming): name/id resolved before arguments arrive.
tst.test(
"I'm\nthinking<|END_THINKING|>"
"<|START_ACTION|>[\n"
" {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", ")
.reasoning_format(COMMON_REASONING_FORMAT_DEEPSEEK)
.tools({ special_function_tool })
.is_partial(true)
.expect(message_assist_thoughts_partial_call)
.run();
}
{
// Google Gemma 2 2B - does not support tool calling
auto tst = peg_tester("models/templates/google-gemma-2-2b-it.jinja");
@@ -3102,18 +3219,16 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
tst.test(
"<seed:tool_call>\n"
"<function=edit>\n"
"<parameter=filename>\n"
"foo.cpp\n"
"<parameter=filename>"
"foo.cpp"
"</parameter>\n"
"<parameter=oldString>"
"def foo(arg = \"14\"):\n"
" return arg + \"bar\"\n"
"\n"
"</parameter>\n"
"<parameter=newString>"
"def foo(arg = \"15\"):\n"
" pass\n"
"\n"
"</parameter>\n"
"</function>\n"
"</seed:tool_call>")
@@ -4833,6 +4948,20 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
auto tst = peg_tester("models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja", detailed_debug);
tst.test("Hello, world!\nWhat's up?").tools({ special_function_tool }).expect(message_assist).expect_reconstruction().run();
tst.test(
"```json\n\"42\" \n```")
.reasoning_format(COMMON_REASONING_FORMAT_AUTO)
.json_schema(const_schema)
.expect_content(R"("42")")
.run();
tst.test(
"\"42\" \n")
.reasoning_format(COMMON_REASONING_FORMAT_AUTO)
.json_schema(const_schema)
.expect_content(R"("42")")
.run();
// Continuation tests
tst.test("world!\nWhat's up?")
.messages({ message_user, message_assist_prefill_content })
+4 -4
View File
@@ -601,8 +601,8 @@ static void test_filters(testing & t) {
"hello jinja"
);
test_template(t, "length list",
"{{ items|length }}",
test_template(t, "length (count alias) list",
"{{ items|count }}",
{{"items", json::array({1, 2, 3})}},
"3"
);
@@ -711,8 +711,8 @@ static void test_filters(testing & t) {
"fallback"
);
test_template(t, "default with falsy value",
"{{ ''|default('fallback', true) }}",
test_template(t, "default (d alias) with falsy value",
"{{ ''|d('fallback', true) }}",
json::object(),
"fallback"
);
+4 -3
View File
@@ -35,6 +35,7 @@
"bits-ui": "2.18.1",
"clsx": "2.1.1",
"dexie": "4.4.3",
"dompurify": "3.4.5",
"eslint": "9.39.4",
"eslint-config-prettier": "10.1.8",
"eslint-plugin-storybook": "10.4.2",
@@ -8651,9 +8652,9 @@
"peer": true
},
"node_modules/dompurify": {
"version": "3.4.8",
"resolved": "https://registry.npmjs.org/dompurify/-/dompurify-3.4.8.tgz",
"integrity": "sha512-yb1cEmaOum7wFvOCSQxyfgVlv5D47Rc30iZWoMpbDIWTnJ6grDDQyu2KFJzB2k7u0pMuJcQ1zphH//fFnw2tjQ==",
"version": "3.4.5",
"resolved": "https://registry.npmjs.org/dompurify/-/dompurify-3.4.5.tgz",
"integrity": "sha512-OrwIBKsdNSVEeubdJ1HBv/wNENRM9ytAVCv7YXt//A3vPdVMNuACRqK9mXCGCBW2ln7BT/A4X0jXHo2Gu89miA==",
"dev": true,
"license": "(MPL-2.0 OR Apache-2.0)",
"optionalDependencies": {
+1
View File
@@ -54,6 +54,7 @@
"bits-ui": "2.18.1",
"clsx": "2.1.1",
"dexie": "4.4.3",
"dompurify": "3.4.5",
"eslint": "9.39.4",
"eslint-config-prettier": "10.1.8",
"eslint-plugin-storybook": "10.4.2",
+4 -1
View File
@@ -9,7 +9,10 @@
<link rel="manifest" href="./manifest.webmanifest" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta
name="viewport"
content="width=device-width, initial-scale=1, interactive-widget=resizes-content"
/>
%sveltekit.head%
</head>
@@ -56,6 +56,7 @@
const showToolCallInProgress = $derived(config().showToolCallInProgress as boolean);
const showThoughtInProgress = $derived(config().showThoughtInProgress as boolean);
const renderThinkingAsMarkdown = $derived(config().renderThinkingAsMarkdown as boolean);
const hasReasoningError = $derived(
isLastAssistantMessage ? !!agenticLastError(message.convId) : false
@@ -316,9 +317,13 @@
onToggle={() => toggleExpanded(index, section)}
>
<div class="pt-3">
<div class="text-xs leading-relaxed break-words whitespace-pre-wrap">
{section.content}
</div>
{#if renderThinkingAsMarkdown}
<MarkdownContent content={section.content} attachments={message?.extra} />
{:else}
<div class="text-xs leading-relaxed break-words whitespace-pre-wrap">
{section.content}
</div>
{/if}
</div>
</CollapsibleContentBlock>
{:else if section.type === AgenticSectionType.REASONING_PENDING}
@@ -336,9 +341,13 @@
onToggle={() => toggleExpanded(index, section)}
>
<div class="pt-3">
<div class="text-xs leading-relaxed break-words whitespace-pre-wrap">
{section.content}
</div>
{#if renderThinkingAsMarkdown}
<MarkdownContent content={section.content} attachments={message?.extra} />
{:else}
<div class="text-xs leading-relaxed break-words whitespace-pre-wrap">
{section.content}
</div>
{/if}
</div>
</CollapsibleContentBlock>
{/if}
@@ -18,6 +18,8 @@
import { rehypeEnhanceCodeBlocks } from './plugins/rehype/enhance-code-blocks';
import { rehypeEnhanceMermaidBlocks } from './plugins/rehype/enhance-mermaid-blocks';
import { rehypeMermaidPre } from './plugins/rehype/mermaid-pre';
import { rehypeSvgPre } from './plugins/rehype/svg-pre';
import { rehypeEnhanceSvgBlocks } from './plugins/rehype/enhance-svg-blocks';
import { rehypeResolveAttachmentImages } from './plugins/rehype/resolve-attachment-images';
import { rehypeRtlSupport } from './plugins/rehype/rehype-rtl-support';
import { remarkLiteralHtml } from './plugins/remark/literal-html';
@@ -38,11 +40,26 @@
DATA_ERROR_BOUND_ATTR,
DATA_ERROR_HANDLED_ATTR,
BOOL_TRUE_STRING,
SETTINGS_KEYS
SETTINGS_KEYS,
MERMAID_WRAPPER_CLASS,
MERMAID_BLOCK_CLASS,
MERMAID_LANGUAGE,
MERMAID_SYNTAX_ATTR,
MERMAID_RENDERED_ATTR,
SVG_WRAPPER_CLASS,
SVG_BLOCK_CLASS,
SVG_LANGUAGE,
XML_LANGUAGE,
SVG_TAG_PREFIX,
SVG_SOURCE_ATTR,
SVG_RENDERED_ATTR,
SVG_INLINE_SHADOW_STYLE
} from '$lib/constants';
import { ColorMode, UrlProtocol } from '$lib/enums';
import { FileTypeText } from '$lib/enums/files.enums';
import { highlightCode, detectIncompleteCodeBlock, type IncompleteCodeBlock } from '$lib/utils';
import { sanitizeSvg } from '$lib/utils/sanitize-svg';
import { mountSvgShadow } from '$lib/utils/svg-shadow';
import '$styles/katex-custom.scss';
import githubDarkCss from 'highlight.js/styles/github-dark.css?inline';
import githubLightCss from 'highlight.js/styles/github.css?inline';
@@ -77,11 +94,32 @@
let renderedBlocks = $state<MarkdownBlock[]>([]);
let unstableBlockHtml = $state('');
let incompleteCodeBlock = $state<IncompleteCodeBlock | null>(null);
const streamingSvgCode = $derived.by(() => {
const block = incompleteCodeBlock;
if (!block) return null;
if (block.language === SVG_LANGUAGE) return block.code;
if (block.language === XML_LANGUAGE && block.code.trimStart().startsWith(SVG_TAG_PREFIX))
return block.code;
return null;
});
const liveSvgHtml = $derived(streamingSvgCode !== null ? sanitizeSvg(streamingSvgCode) : '');
let previewDialogOpen = $state(false);
let previewCode = $state('');
let previewLanguage = $state('text');
let mermaidPreviewOpen = $state(false);
let mermaidPreviewSvgHtml = $state('');
let svgPreviewLive = $state(false);
let streamingSvgHost = $state<HTMLDivElement | null>(null);
// While the zoom dialog is open on a streaming svg, mirror the live render into it
$effect(() => {
if (svgPreviewLive && liveSvgHtml) mermaidPreviewSvgHtml = liveSvgHtml;
});
// Mount the streaming svg into its shadow host on every chunk so it renders live
$effect(() => {
if (streamingSvgHost) mountSvgShadow(streamingSvgHost, liveSvgHtml, SVG_INLINE_SHADOW_STYLE);
});
let streamingCodeScrollContainer = $state<HTMLDivElement>();
@@ -124,8 +162,10 @@
.use(rehypeRestoreTableHtml) // Restore limited HTML (e.g., <br>, <ul>) inside Markdown tables
.use(rehypeEnhanceLinks) // Add target="_blank" to links
.use(rehypeMermaidPre) // Convert mermaid blocks to <pre class="mermaid">
.use(rehypeSvgPre) // Convert svg blocks to <pre class="svg-block">
.use(rehypeEnhanceCodeBlocks) // Wrap code blocks with header and actions
.use(rehypeEnhanceMermaidBlocks) // Wrap mermaid blocks with header and actions
.use(rehypeEnhanceSvgBlocks) // Wrap svg blocks with header and actions
.use(rehypeResolveAttachmentImages, { attachments })
.use(rehypeRtlSupport) // Add bidirectional text support
.use(rehypeStringify, { allowDangerousHtml: true }); // Convert to HTML string
@@ -462,17 +502,19 @@
const target = event.target as HTMLElement;
// Check if clicking on copy or preview button in mermaid block
const copyBtn = target.closest('.mermaid-block-wrapper .copy-code-btn');
const previewBtn = target.closest('.mermaid-block-wrapper .preview-code-btn');
const copyBtn = target.closest(`.${MERMAID_WRAPPER_CLASS} .copy-code-btn`);
const previewBtn = target.closest(`.${MERMAID_WRAPPER_CLASS} .preview-code-btn`);
if (copyBtn || previewBtn) {
const wrapper = target.closest('.mermaid-block-wrapper');
const wrapper = target.closest(`.${MERMAID_WRAPPER_CLASS}`);
if (!wrapper) return;
const preElement = wrapper.querySelector<HTMLElement>('pre.mermaid[data-mermaid-syntax]');
const preElement = wrapper.querySelector<HTMLElement>(
`pre.${MERMAID_BLOCK_CLASS}[${MERMAID_SYNTAX_ATTR}]`
);
if (!preElement) return;
const mermaidSyntax = preElement.dataset.mermaidSyntax ?? '';
const mermaidSyntax = preElement.getAttribute(MERMAID_SYNTAX_ATTR) ?? '';
if (copyBtn) {
event.preventDefault();
@@ -491,19 +533,70 @@
const svg = preElement.querySelector('svg');
if (!svg) return;
mermaidPreviewSvgHtml = svg.outerHTML;
svgPreviewLive = false;
mermaidPreviewOpen = true;
return;
}
}
// Check if clicking on copy or preview button in svg block
const svgCopyBtn = target.closest(`.${SVG_WRAPPER_CLASS} .copy-code-btn`);
const svgPreviewBtn = target.closest(`.${SVG_WRAPPER_CLASS} .preview-code-btn`);
if (svgCopyBtn || svgPreviewBtn) {
const wrapper = target.closest(`.${SVG_WRAPPER_CLASS}`);
if (!wrapper) return;
const preElement = wrapper.querySelector<HTMLElement>(
`pre.${SVG_BLOCK_CLASS}[${SVG_SOURCE_ATTR}]`
);
if (!preElement) return;
if (svgCopyBtn) {
event.preventDefault();
event.stopPropagation();
try {
await copyToClipboard(preElement.getAttribute(SVG_SOURCE_ATTR) ?? '');
} catch (error) {
console.error('Failed to copy svg source:', error);
}
return;
}
if (svgPreviewBtn) {
event.preventDefault();
event.stopPropagation();
mermaidPreviewSvgHtml = sanitizeSvg(preElement.getAttribute(SVG_SOURCE_ATTR) ?? '');
svgPreviewLive = false;
mermaidPreviewOpen = true;
return;
}
}
// Open preview when clicking the svg block itself. A final block carries its
// source, a streaming block does not and is mirrored live into the dialog.
const svgEl = target.closest(`.${SVG_BLOCK_CLASS}`);
if (svgEl) {
const source = svgEl.getAttribute(SVG_SOURCE_ATTR);
if (source !== null) {
mermaidPreviewSvgHtml = sanitizeSvg(source);
svgPreviewLive = false;
} else {
svgPreviewLive = true;
}
mermaidPreviewOpen = true;
return;
}
// Otherwise, open preview when clicking on the mermaid diagram itself
const mermaidEl = target.closest('.mermaid');
const mermaidEl = target.closest(`.${MERMAID_BLOCK_CLASS}`);
if (!mermaidEl) return;
const svg = mermaidEl.querySelector('svg');
if (!svg) return;
mermaidPreviewSvgHtml = svg.outerHTML;
svgPreviewLive = false;
mermaidPreviewOpen = true;
}
@@ -515,6 +608,7 @@
mermaidPreviewOpen = open;
if (!open) {
mermaidPreviewSvgHtml = '';
svgPreviewLive = false;
}
}
@@ -527,12 +621,14 @@
async function renderMermaidDiagrams() {
if (!containerRef) return;
const nodes = containerRef.querySelectorAll('pre.mermaid:not([data-mermaid-rendered])');
const nodes = containerRef.querySelectorAll(
`pre.${MERMAID_BLOCK_CLASS}:not([${MERMAID_RENDERED_ATTR}])`
);
if (nodes.length === 0) return;
// Mark nodes immediately to prevent duplicate renders if called again during streaming.
// This avoids needing a guard that would block node discovery.
nodes.forEach((node) => node.setAttribute('data-mermaid-rendered', 'true'));
nodes.forEach((node) => node.setAttribute(MERMAID_RENDERED_ATTR, 'true'));
// Read mode before await so Svelte tracks it reactively.
const isDark = mode.current === ColorMode.DARK;
@@ -565,6 +661,34 @@
}
}
/**
* Renders svg diagrams that haven't been rendered yet.
* Sanitizes the source before injecting and marks each node so it renders once.
* An empty sanitize result keeps the raw source as escaped text.
*/
function renderSvgDiagrams() {
if (!containerRef) return;
const nodes = containerRef.querySelectorAll<HTMLElement>(
`pre.${SVG_BLOCK_CLASS}:not([${SVG_RENDERED_ATTR}])`
);
if (nodes.length === 0) return;
nodes.forEach((node) => {
node.setAttribute(SVG_RENDERED_ATTR, 'true');
const source = node.getAttribute(SVG_SOURCE_ATTR) ?? node.textContent ?? '';
const clean = sanitizeSvg(source);
if (clean) {
node.textContent = '';
const host = document.createElement('div');
node.appendChild(host);
mountSvgShadow(host, clean, SVG_INLINE_SHADOW_STYLE);
}
});
}
/**
* Handles image load errors by replacing the image with a fallback UI.
* Shows a placeholder with a link to open the image in a new tab.
@@ -647,6 +771,7 @@
setupCodeBlockActions();
setupImageErrorHandlers();
renderMermaidDiagrams();
renderSvgDiagrams();
}
});
@@ -689,7 +814,7 @@
{/if}
{#if incompleteCodeBlock}
{#if incompleteCodeBlock.language === 'mermaid'}
{#if incompleteCodeBlock.language === MERMAID_LANGUAGE}
<div class="mermaid-block-wrapper streaming-mermaid-block">
<div class="code-block-header">
<span class="code-language">mermaid</span>
@@ -705,6 +830,30 @@
<span class="mermaid-loading-text">Generating diagram...</span>
</div>
</div>
{:else if streamingSvgCode !== null}
<div class="svg-block-wrapper streaming-svg-block">
<div class="code-block-header">
<span class="code-language">svg</span>
<div class="code-block-actions">
<ActionIconCopyToClipboard
text={incompleteCodeBlock.code}
canCopy={false}
ariaLabel="Diagram incomplete"
/>
</div>
</div>
{#if liveSvgHtml}
<div class="svg-scroll-container">
<div class={SVG_BLOCK_CLASS}>
<div bind:this={streamingSvgHost}></div>
</div>
</div>
{:else}
<div class="mermaid-loading-placeholder">
<span class="mermaid-loading-text">Rendering svg...</span>
</div>
{/if}
</div>
{:else}
<div class="code-block-wrapper streaming-code-block relative">
<div class="code-block-header">
@@ -560,8 +560,9 @@ div.markdown-user-content :global(.table-wrapper) {
border-color: var(--primary);
}
/* Mermaid diagrams */
.markdown-content :global(pre.mermaid) {
/* Mermaid and svg blocks share the same block styling */
.markdown-content :global(pre.mermaid),
.markdown-content :global(.svg-block) {
background: transparent;
border: none;
padding: 0;
@@ -572,13 +573,25 @@ div.markdown-user-content :global(.table-wrapper) {
position: relative;
}
/* The svg block fills its flex container so the shadow host has a definite width to render into */
.markdown-content :global(.svg-block) {
width: 100%;
}
/* Hide mermaid code text until rendered - prevents flash */
.markdown-content :global(pre.mermaid:not([data-mermaid-rendered])),
.markdown-content :global(pre.mermaid[data-mermaid-rendered]:not(:has(svg))) {
display: none;
}
.markdown-content :global(pre.mermaid:hover) {
/* Hide svg source until rendered - prevents flash. A rendered-but-unsanitized
block (oversized source) keeps its raw text visible as a safe fallback. */
.markdown-content :global(pre.svg-block:not([data-svg-rendered])) {
display: none;
}
.markdown-content :global(pre.mermaid:hover),
.markdown-content :global(.svg-block:hover) {
opacity: 0.85;
}
@@ -590,8 +603,9 @@ div.markdown-user-content :global(.table-wrapper) {
padding: 3rem 1rem;
}
/* Mermaid block wrapper - matches code block styling */
.markdown-content :global(.mermaid-block-wrapper) {
/* Diagram block wrapper - matches code block styling */
.markdown-content :global(.mermaid-block-wrapper),
.markdown-content :global(.svg-block-wrapper) {
margin: 1.5rem 0;
border-radius: 0.75rem;
overflow: hidden;
@@ -603,11 +617,13 @@ div.markdown-user-content :global(.table-wrapper) {
max-height: var(--max-message-height);
}
.markdown-content:global(.dark) :global(.mermaid-block-wrapper) {
.markdown-content:global(.dark) :global(.mermaid-block-wrapper),
.markdown-content:global(.dark) :global(.svg-block-wrapper) {
border-color: color-mix(in oklch, var(--border) 20%, transparent);
}
.markdown-content :global(.mermaid-scroll-container) {
.markdown-content :global(.mermaid-scroll-container),
.markdown-content :global(.svg-scroll-container) {
min-height: 350px;
max-height: var(--max-message-height);
overflow-y: auto;
@@ -618,17 +634,20 @@ div.markdown-user-content :global(.table-wrapper) {
padding: 3rem 1rem 1rem;
}
.full-height-code-blocks :global(.mermaid-block-wrapper) {
.full-height-code-blocks :global(.mermaid-block-wrapper),
.full-height-code-blocks :global(.svg-block-wrapper) {
max-height: none;
}
.full-height-code-blocks :global(.mermaid-scroll-container) {
.full-height-code-blocks :global(.mermaid-scroll-container),
.full-height-code-blocks :global(.svg-scroll-container) {
max-height: none;
overflow-y: visible;
}
/* Mermaid block uses same header styling as code blocks */
.markdown-content :global(.mermaid-block-wrapper .code-block-header) {
/* Diagram block uses same header styling as code blocks */
.markdown-content :global(.mermaid-block-wrapper .code-block-header),
.markdown-content :global(.svg-block-wrapper .code-block-header) {
display: flex;
justify-content: space-between;
align-items: center;
@@ -640,14 +659,16 @@ div.markdown-user-content :global(.table-wrapper) {
right: 0;
}
.markdown-content :global(.mermaid-block-wrapper .code-block-actions) {
.markdown-content :global(.mermaid-block-wrapper .code-block-actions),
.markdown-content :global(.svg-block-wrapper .code-block-actions) {
display: flex;
align-items: center;
gap: 0.5rem;
}
/* Mermaid pre element - remove default margins */
.markdown-content :global(.mermaid-block-wrapper pre.mermaid) {
/* Diagram pre element - remove default margins */
.markdown-content :global(.mermaid-block-wrapper pre.mermaid),
.markdown-content :global(.svg-block-wrapper pre.svg-block) {
background: transparent;
border: none;
padding: 0;
@@ -655,7 +676,6 @@ div.markdown-user-content :global(.table-wrapper) {
text-align: center;
}
/* Mermaid SVG should be bigger */
.markdown-content :global(.mermaid-block-wrapper pre.mermaid svg) {
width: unset !important;
height: auto;
@@ -4,6 +4,7 @@
*/
import { copyCodeToClipboard, copyToClipboard } from '$lib/utils';
import { MERMAID_WRAPPER_CLASS, MERMAID_BLOCK_CLASS, MERMAID_SYNTAX_ATTR } from '$lib/constants';
export interface PreviewState {
previewDialogOpen: boolean;
@@ -106,17 +107,19 @@ export function createHandleMermaidClick(mermaidState: MermaidPreviewState) {
const target = event.target as HTMLElement;
// Check if clicking on copy or preview button in mermaid block
const copyBtn = target.closest('.mermaid-block-wrapper .copy-code-btn');
const previewBtn = target.closest('.mermaid-block-wrapper .preview-code-btn');
const copyBtn = target.closest(`.${MERMAID_WRAPPER_CLASS} .copy-code-btn`);
const previewBtn = target.closest(`.${MERMAID_WRAPPER_CLASS} .preview-code-btn`);
if (copyBtn || previewBtn) {
const wrapper = target.closest('.mermaid-block-wrapper');
const wrapper = target.closest(`.${MERMAID_WRAPPER_CLASS}`);
if (!wrapper) return;
const preElement = wrapper.querySelector<HTMLElement>('pre.mermaid[data-mermaid-syntax]');
const preElement = wrapper.querySelector<HTMLElement>(
`pre.${MERMAID_BLOCK_CLASS}[${MERMAID_SYNTAX_ATTR}]`
);
if (!preElement) return;
const mermaidSyntax = preElement.dataset.mermaidSyntax ?? '';
const mermaidSyntax = preElement.getAttribute(MERMAID_SYNTAX_ATTR) ?? '';
if (copyBtn) {
event.preventDefault();
@@ -141,7 +144,7 @@ export function createHandleMermaidClick(mermaidState: MermaidPreviewState) {
}
// Otherwise, open preview when clicking on the mermaid diagram itself
const mermaidEl = target.closest('.mermaid');
const mermaidEl = target.closest(`.${MERMAID_BLOCK_CLASS}`);
if (!mermaidEl) return;
const svg = mermaidEl.querySelector('svg');
@@ -13,7 +13,14 @@
import type { Plugin } from 'unified';
import type { Root, Element, ElementContent } from 'hast';
import { visit } from 'unist-util-visit';
import { MERMAID_WRAPPER_CLASS, MERMAID_SCROLL_CONTAINER_CLASS } from '$lib/constants';
import {
MERMAID_WRAPPER_CLASS,
MERMAID_SCROLL_CONTAINER_CLASS,
MERMAID_BLOCK_CLASS,
MERMAID_LANGUAGE,
MERMAID_SYNTAX_ATTR,
MERMAID_ID_ATTR
} from '$lib/constants';
import {
createBlockHeader,
createCopyButton,
@@ -43,11 +50,13 @@ export const rehypeEnhanceMermaidBlocks: Plugin<[], Root> = () => {
const className = node.properties?.className;
if (!Array.isArray(className)) return;
const isMermaid = className.some((cls) => typeof cls === 'string' && cls === 'mermaid');
const isMermaid = className.some(
(cls) => typeof cls === 'string' && cls === MERMAID_BLOCK_CLASS
);
if (!isMermaid) return;
const mermaidId = generateBlockId('mermaid', 'idxMermaidBlock');
const mermaidId = generateBlockId(MERMAID_LANGUAGE, 'idxMermaidBlock');
// Extract the mermaid syntax (text content of the pre element)
const diagramText = node.children
@@ -60,22 +69,22 @@ export const rehypeEnhanceMermaidBlocks: Plugin<[], Root> = () => {
// Store the mermaid syntax in data attribute for copy functionality
node.properties = {
...node.properties,
'data-mermaid-syntax': diagramText,
'data-mermaid-id': mermaidId
[MERMAID_SYNTAX_ATTR]: diagramText,
[MERMAID_ID_ATTR]: mermaidId
};
const actions = [
createCopyButton(mermaidId, 'data-mermaid-id', 'Copy mermaid syntax'),
createPreviewButton(mermaidId, 'data-mermaid-id', 'Preview diagram')
createCopyButton(mermaidId, MERMAID_ID_ATTR, 'Copy mermaid syntax'),
createPreviewButton(mermaidId, MERMAID_ID_ATTR, 'Preview diagram')
];
const header = createBlockHeader('mermaid', mermaidId, 'data-mermaid-id', actions);
const header = createBlockHeader(MERMAID_LANGUAGE, mermaidId, MERMAID_ID_ATTR, actions);
const wrapper = createWrapper(
header,
node,
MERMAID_WRAPPER_CLASS,
MERMAID_SCROLL_CONTAINER_CLASS,
{ 'data-mermaid-id': mermaidId }
{ [MERMAID_ID_ATTR]: mermaidId }
);
// Replace pre with wrapper in parent
@@ -0,0 +1,80 @@
/**
* Rehype plugin to enhance svg blocks with wrapper, header, and action buttons.
*
* Wraps <pre class="svg-block"> elements with a container that includes:
* - Language label ("svg")
* - Copy button (copies svg source to clipboard)
* - Preview button (opens fullscreen preview dialog)
*
* Operates directly on the HAST tree and reuses the shared code-block builders.
*/
import type { Plugin } from 'unified';
import type { Root, Element, ElementContent } from 'hast';
import { visit } from 'unist-util-visit';
import {
SVG_WRAPPER_CLASS,
SVG_SCROLL_CONTAINER_CLASS,
SVG_BLOCK_CLASS,
SVG_LANGUAGE,
SVG_SOURCE_ATTR,
SVG_ID_ATTR
} from '$lib/constants';
import {
createBlockHeader,
createCopyButton,
createPreviewButton,
createWrapper,
generateBlockId
} from './code-block-utils';
declare global {
interface Window {
idxSvgBlock?: number;
}
}
export const rehypeEnhanceSvgBlocks: Plugin<[], Root> = () => {
return (tree: Root) => {
visit(tree, 'element', (node: Element, index, parent) => {
if (node.tagName !== 'pre' || !parent || index === undefined) return;
const className = node.properties?.className;
if (!Array.isArray(className)) return;
const isSvg = className.some((cls) => typeof cls === 'string' && cls === SVG_BLOCK_CLASS);
if (!isSvg) return;
const svgId = generateBlockId(SVG_LANGUAGE, 'idxSvgBlock');
// Extract the svg source (text content of the pre element)
const svgSource = node.children
.map((child) => {
if (child.type === 'text') return child.value;
return '';
})
.join('');
// Store the svg source in data attribute for copy and render
node.properties = {
...node.properties,
[SVG_SOURCE_ATTR]: svgSource,
[SVG_ID_ATTR]: svgId
};
const actions = [
createCopyButton(svgId, SVG_ID_ATTR, 'Copy svg source'),
createPreviewButton(svgId, SVG_ID_ATTR, 'Preview svg')
];
const header = createBlockHeader(SVG_LANGUAGE, svgId, SVG_ID_ATTR, actions);
const wrapper = createWrapper(header, node, SVG_WRAPPER_CLASS, SVG_SCROLL_CONTAINER_CLASS, {
[SVG_ID_ATTR]: svgId
});
// Replace pre with wrapper in parent
(parent.children as ElementContent[])[index] = wrapper;
});
};
};
@@ -1,67 +1,7 @@
import type { Plugin } from 'unified';
import type { Root, Element, ElementContent, Text } from 'hast';
import { visit } from 'unist-util-visit';
import { createPreTransform } from './pre-transform';
import { MERMAID_BLOCK_CLASS, MERMAID_LANGUAGE } from '$lib/constants';
/**
* Recursively extracts all text content from a HAST node.
* Handles nested elements (e.g., span wrappers from syntax highlighting).
* Converts mermaid code blocks to <pre class="mermaid"> for client-side rendering.
*/
function extractText(node: ElementContent): string {
if (node.type === 'text') return node.value;
if (node.type === 'element') {
return (node.children ?? []).map(extractText).join('');
}
return '';
}
/**
* Rehype plugin to convert mermaid code blocks to <pre class="mermaid"> elements.
*
* Transforms:
* <pre><code class="language-mermaid">graph TD; A-->B</code></pre>
* into:
* <pre class="mermaid">graph TD; A-->B</pre>
*
* The mermaid library renders these client-side via mermaid.run().
*
* Must run BEFORE rehypeEnhanceCodeBlocks so mermaid blocks are not wrapped
* with code block headers/buttons (they have no <code> child, so they're skipped).
*/
export const rehypeMermaidPre: Plugin<[], Root> = () => {
return (tree: Root) => {
visit(tree, 'element', (node: Element, index, parent) => {
if (node.tagName !== 'pre' || !parent || index === undefined) return;
const codeElement = node.children.find(
(child): child is Element => child.type === 'element' && child.tagName === 'code'
);
if (!codeElement) return;
const className = codeElement.properties?.className;
if (!Array.isArray(className)) return;
const isMermaid = className.some(
(cls) => typeof cls === 'string' && cls === 'language-mermaid'
);
if (!isMermaid) return;
// Recursively extract text to handle nested spans from syntax highlighting
const diagramText = codeElement.children.map(extractText).join('').trim();
if (!diagramText) return;
const mermaidPre: Element = {
type: 'element',
tagName: 'pre',
properties: {
className: ['mermaid']
},
children: [{ type: 'text', value: diagramText } as Text]
};
(parent.children as ElementContent[])[index] = mermaidPre;
});
};
};
export const rehypeMermaidPre = createPreTransform(MERMAID_LANGUAGE, MERMAID_BLOCK_CLASS);
@@ -0,0 +1,79 @@
import type { Plugin } from 'unified';
import type { Root, Element, ElementContent, Text } from 'hast';
import { visit } from 'unist-util-visit';
/**
* Recursively extracts all text content from a HAST node.
* Handles nested elements (e.g., span wrappers from syntax highlighting).
*/
function extractText(node: ElementContent): string {
if (node.type === 'text') return node.value;
if (node.type === 'element') {
return (node.children ?? []).map(extractText).join('');
}
return '';
}
/**
* Builds a rehype plugin that converts <pre><code class="language-{language}">
* blocks into <pre class="{targetClass}"> elements carrying the raw text.
*
* Accepts one or more source languages, and an optional contentGuard that
* receives the trimmed text and decides whether the block qualifies. The guard
* lets a shared fence language be claimed only when its content matches, e.g.
* an xml block is converted to svg only when it starts with <svg.
*
* The result has no <code> child, so rehypeEnhanceCodeBlocks skips it. Rendering
* happens client-side, so no markup is injected at this stage. Must run BEFORE
* rehypeEnhanceCodeBlocks.
*/
export function createPreTransform(
languages: string | string[],
targetClass: string,
contentGuard?: (text: string) => boolean
): Plugin<[], Root> {
const codeClasses = (Array.isArray(languages) ? languages : [languages]).map(
(language) => `language-${language}`
);
return () => {
return (tree: Root) => {
visit(tree, 'element', (node: Element, index, parent) => {
if (node.tagName !== 'pre' || !parent || index === undefined) return;
const codeElement = node.children.find(
(child): child is Element => child.type === 'element' && child.tagName === 'code'
);
if (!codeElement) return;
const className = codeElement.properties?.className;
if (!Array.isArray(className)) return;
const matches = className.some(
(cls) => typeof cls === 'string' && codeClasses.includes(cls)
);
if (!matches) return;
// Recursively extract text to handle nested spans from syntax highlighting
const text = codeElement.children.map(extractText).join('').trim();
if (!text) return;
if (contentGuard && !contentGuard(text)) return;
const pre: Element = {
type: 'element',
tagName: 'pre',
properties: {
className: [targetClass]
},
children: [{ type: 'text', value: text } as Text]
};
(parent.children as ElementContent[])[index] = pre;
});
};
};
}
@@ -0,0 +1,13 @@
import { createPreTransform } from './pre-transform';
import { SVG_BLOCK_CLASS, SVG_LANGUAGE, XML_LANGUAGE, SVG_TAG_PREFIX } from '$lib/constants';
/**
* Converts svg code blocks to <pre class="svg-block"> for client-side rendering.
* Also claims xml blocks whose content starts with <svg, since models often emit
* svg inside an xml fence.
*/
export const rehypeSvgPre = createPreTransform(
[SVG_LANGUAGE, XML_LANGUAGE],
SVG_BLOCK_CLASS,
(text) => text.startsWith(SVG_TAG_PREFIX)
);
@@ -1,5 +1,7 @@
<script lang="ts">
import MermaidPreviewControls from './MermaidPreviewControls.svelte';
import { mountSvgShadow } from '$lib/utils/svg-shadow';
import { SVG_DIALOG_SHADOW_STYLE } from '$lib/constants';
interface Props {
svgHtml: string;
@@ -7,6 +9,13 @@
let { svgHtml }: Props = $props();
let svgHost = $state<HTMLDivElement | null>(null);
// Re-mount on every svgHtml change so a live streaming svg keeps rendering while zoomed
$effect(() => {
if (svgHost) mountSvgShadow(svgHost, svgHtml, SVG_DIALOG_SHADOW_STYLE);
});
// Zoom and pan state
let scale = $state(1);
let translateX = $state(0);
@@ -99,8 +108,7 @@
onpointerup={handlePointerUp}
onpointerleave={handlePointerUp}
>
<!-- eslint-disable-next-line no-at-html-tags -->
{@html svgHtml}
<div bind:this={svgHost}></div>
</div>
<MermaidPreviewControls
@@ -111,16 +119,3 @@
onResetView={resetView}
/>
</div>
<style lang="postcss" scoped>
/* Styles for SVGs rendered via {@html} — no Tailwind class can target child elements */
.mermaid-preview-diagram :global(svg) {
min-height: min(50vh, 12rem);
min-width: min(80vw, 20rem);
max-width: none !important;
max-height: none !important;
height: auto !important;
width: auto !important;
display: block;
}
</style>
@@ -41,7 +41,7 @@
data-slot="sidebar-wrapper"
style="--sidebar-width: {sidebar.sidebarWidth}; --sidebar-min-width: {SIDEBAR_MIN_WIDTH}; --sidebar-max-width: {SIDEBAR_MAX_WIDTH}; --sidebar-width-icon: {SIDEBAR_WIDTH_ICON}; {style}"
class={cn(
'group/sidebar-wrapper flex min-h-svh w-full has-data-[variant=inset]:bg-sidebar',
'group/sidebar-wrapper flex flex-col h-dvh w-full has-data-[variant=inset]:bg-sidebar',
className
)}
bind:this={ref}
+2
View File
@@ -1 +1,3 @@
export const MEGAPIXELS_TO_PIXELS = 1_000_000;
export const HEIC_JPEG_QUALITY = 0.85;
+1
View File
@@ -29,6 +29,7 @@ export * from './latex-protection';
export * from './literal-html';
export * from './markdown';
export * from './mermaid-blocks';
export * from './svg-blocks';
export * from './max-bundle-size';
export * from './mcp';
export * from './mcp-form';
@@ -1,2 +1,9 @@
export const MERMAID_WRAPPER_CLASS = 'mermaid-block-wrapper';
export const MERMAID_SCROLL_CONTAINER_CLASS = 'mermaid-scroll-container';
export const MERMAID_BLOCK_CLASS = 'mermaid';
export const MERMAID_LANGUAGE = 'mermaid';
export const MERMAID_SYNTAX_ATTR = 'data-mermaid-syntax';
export const MERMAID_ID_ATTR = 'data-mermaid-id';
export const MERMAID_RENDERED_ATTR = 'data-mermaid-rendered';
@@ -33,6 +33,7 @@ export const SETTINGS_KEYS = {
SHOW_MODEL_TAGS: 'showModelTags',
SHOW_BUILD_VERSION: 'showBuildVersion',
SHOW_SYSTEM_MESSAGE: 'showSystemMessage',
RENDER_THINKING_AS_MARKDOWN: 'renderThinkingAsMarkdown',
// Sampling
TEMPERATURE: 'temperature',
DYNATEMP_RANGE: 'dynatemp_range',
@@ -282,6 +282,18 @@ const SETTINGS_REGISTRY: Record<string, SettingsSectionEntry> = {
paramType: SyncableParameterType.BOOLEAN
}
},
{
key: SETTINGS_KEYS.RENDER_THINKING_AS_MARKDOWN,
label: 'Render thinking as Markdown',
help: 'Render the reasoning/thinking block content as formatted Markdown instead of plain text.',
defaultValue: true,
type: SettingsFieldType.CHECKBOX,
section: SETTINGS_SECTION_SLUGS.DISPLAY,
sync: {
serverKey: SETTINGS_KEYS.RENDER_THINKING_AS_MARKDOWN,
paramType: SyncableParameterType.BOOLEAN
}
},
{
key: SETTINGS_KEYS.FULL_HEIGHT_CODE_BLOCKS,
label: 'Use full height code blocks',
@@ -63,6 +63,10 @@ export const IMAGE_FILE_TYPES = {
[FileTypeImage.SVG]: {
extensions: [FileExtensionImage.SVG],
mimeTypes: [MimeTypeImage.SVG]
},
[FileTypeImage.HEIC]: {
extensions: [FileExtensionImage.HEIC, FileExtensionImage.HEIF],
mimeTypes: [MimeTypeImage.HEIC, MimeTypeImage.HEIF]
}
} as const;
+49
View File
@@ -0,0 +1,49 @@
export const SVG_WRAPPER_CLASS = 'svg-block-wrapper';
export const SVG_SCROLL_CONTAINER_CLASS = 'svg-scroll-container';
export const SVG_BLOCK_CLASS = 'svg-block';
export const SVG_LANGUAGE = 'svg';
export const XML_LANGUAGE = 'xml';
export const SVG_TAG_PREFIX = '<svg';
export const SVG_SOURCE_ATTR = 'data-svg-source';
export const SVG_ID_ATTR = 'data-svg-id';
export const SVG_RENDERED_ATTR = 'data-svg-rendered';
/**
* Hard size ceiling for a single inline svg block.
* Above this the source is left as raw text instead of being rendered.
*/
export const SVG_MAX_BYTES = 256 * 1024;
/**
* DOMPurify config for untrusted svg coming from model output.
*
* foreignObject and script stay forbidden unconditionally, they are the only
* inline svg vectors that execute arbitrary html or js. Everything else is
* allowed for maximum rendering compatibility: href and xlink:href stay so
* use, image, a and animateMotion work, and DOMPurify still neutralizes
* javascript: and data: uri schemes natively. External resource refs are
* allowed by design on a local first tool, the user browser fetches them.
*
* The sanitized svg is always mounted inside a shadow root (see svg-shadow),
* so an author <style> stays scoped to that root and can not reach the page.
*/
export const SVG_SANITIZE_CONFIG = {
USE_PROFILES: { svg: true, svgFilters: true },
FORBID_TAGS: ['foreignObject', 'script']
};
/**
* Shadow root style for an inline svg block. Mirrors the centered, padded
* sizing the light dom used before the svg moved behind a shadow boundary.
*/
export const SVG_INLINE_SHADOW_STYLE =
':host{display:block;width:100%;text-align:center}svg{display:block;margin:0 auto;width:auto;height:auto;max-width:100%;max-height:70vh;min-height:8rem;padding:3rem 1rem}';
/**
* Shadow root style for the zoom dialog svg. Lets the svg grow past its
* intrinsic size so pan and zoom have room to work.
*/
export const SVG_DIALOG_SHADOW_STYLE =
':host{display:inline-block}svg{min-height:min(50vh,12rem);min-width:min(80vw,20rem);max-width:none;max-height:none;height:auto;width:auto;display:block}';
+9 -3
View File
@@ -25,7 +25,9 @@ export enum FileTypeImage {
PNG = 'png',
GIF = 'gif',
WEBP = 'webp',
SVG = 'svg'
SVG = 'svg',
HEIC = 'heic',
HEIF = 'heif'
}
export enum FileTypeAudio {
@@ -90,7 +92,9 @@ export enum FileExtensionImage {
PNG = '.png',
GIF = '.gif',
WEBP = '.webp',
SVG = '.svg'
SVG = '.svg',
HEIC = '.heic',
HEIF = '.heif'
}
export enum FileExtensionAudio {
@@ -205,7 +209,9 @@ export enum MimeTypeImage {
WEBP = 'image/webp',
SVG = 'image/svg+xml',
ICO = 'image/x-icon',
ICO_MICROSOFT = 'image/vnd.microsoft.icon'
ICO_MICROSOFT = 'image/vnd.microsoft.icon',
HEIC = 'image/heic',
HEIF = 'image/heif'
}
export enum MimeTypeText {
+2
View File
@@ -53,6 +53,8 @@ export function usePwa() {
// This comparison detects server upgrades for non-PWA users.
$effect(() => {
if (!browser) return;
// PWA pages update via the service worker path; the storage check is the non-PWA fallback only
if (navigator.serviceWorker?.controller) return;
const currentVersion = versionStore.value;
if (!currentVersion) return;
+4
View File
@@ -30,6 +30,8 @@ export function getFileTypeCategory(mimeType: string): FileTypeCategory | null {
case MimeTypeImage.GIF:
case MimeTypeImage.WEBP:
case MimeTypeImage.SVG:
case MimeTypeImage.HEIC:
case MimeTypeImage.HEIF:
return FileTypeCategory.IMAGE;
// Audio
@@ -118,6 +120,8 @@ export function getFileTypeCategoryByExtension(filename: string): FileTypeCatego
case FileExtensionImage.GIF:
case FileExtensionImage.WEBP:
case FileExtensionImage.SVG:
case FileExtensionImage.HEIC:
case FileExtensionImage.HEIF:
return FileTypeCategory.IMAGE;
// Audio
+56
View File
@@ -0,0 +1,56 @@
import { MimeTypeImage } from '$lib/enums';
import { HEIC_JPEG_QUALITY } from '$lib/constants/image-size';
// heic requires a relatively large decoder, in order to reduce primary bundle size
// we lazily load this decoder from a CDN when needed, and cache it for future conversions
const HEIC_TO_CDN_URL = 'https://cdn.jsdelivr.net/npm/heic-to@1.5.2/dist/heic-to.js';
interface HeicToModule {
heicTo(args: { blob: Blob; type: string; quality?: number }): Promise<Blob>;
}
let modulePromise: Promise<HeicToModule> | null = null;
/**
* Lazily load the heic-to decoder from the CDN and cache it
* @returns Promise resolving to the heic-to module
*/
function getHeicTo(): Promise<HeicToModule> {
if (!modulePromise) {
modulePromise = import(/* @vite-ignore */ HEIC_TO_CDN_URL) as Promise<HeicToModule>;
}
return modulePromise;
}
/**
* Convert a HEIC/HEIF file to a compressed JPEG data URL
* @param file - The HEIC/HEIF file to convert
* @returns Promise resolving to JPEG data URL
*/
export async function heicFileToJpegDataURL(file: File | Blob): Promise<string> {
const { heicTo } = await getHeicTo();
const jpegBlob = await heicTo({
blob: file,
type: MimeTypeImage.JPEG,
quality: HEIC_JPEG_QUALITY
});
return new Promise((resolve, reject) => {
const reader = new FileReader();
reader.onload = () => resolve(reader.result as string);
reader.onerror = () => reject(reader.error);
reader.readAsDataURL(jpegBlob);
});
}
/**
* Check if a MIME type represents a HEIC/HEIF image
* @param mimeType - The MIME type to check
* @returns True if the MIME type is image/heic or image/heif
*/
export function isHeicMimeType(mimeType: string): boolean {
const normalized = mimeType.trim().toLowerCase();
return normalized === MimeTypeImage.HEIC || normalized === MimeTypeImage.HEIF;
}
@@ -1,5 +1,6 @@
import { isSvgMimeType, svgBase64UrlToPngDataURL } from './svg-to-png';
import { isWebpMimeType, webpBase64UrlToPngDataURL } from './webp-to-png';
import { heicFileToJpegDataURL, isHeicMimeType } from './heic-to-jpeg';
import { FileTypeCategory } from '$lib/enums';
import { SETTINGS_KEYS } from '$lib/constants';
import { modelsStore } from '$lib/stores/models.svelte';
@@ -68,7 +69,7 @@ export async function processFilesToChatUploaded(
if (getFileTypeCategory(file.type) === FileTypeCategory.IMAGE) {
let preview = await readFileAsDataURL(file);
// Normalize SVG and WebP to PNG in previews
// Normalize SVG and WebP to PNG, and HEIC to compressed JPEG, in previews
if (isSvgMimeType(file.type)) {
try {
preview = await svgBase64UrlToPngDataURL(preview);
@@ -81,6 +82,13 @@ export async function processFilesToChatUploaded(
} catch (err) {
console.error('Failed to convert WebP to PNG:', err);
}
} else if (isHeicMimeType(file.type)) {
try {
preview = await heicFileToJpegDataURL(file);
} catch (err) {
console.error('Failed to convert HEIC to PNG:', err);
continue;
}
}
results.push({ ...base, preview });
+22
View File
@@ -0,0 +1,22 @@
import DOMPurify from 'dompurify';
import { SVG_MAX_BYTES, SVG_SANITIZE_CONFIG, SVG_TAG_PREFIX } from '$lib/constants';
/**
* Sanitizes a raw svg string for safe inline rendering.
* Returns the cleaned svg markup, or an empty string when the input is not a
* usable svg, exceeds the size ceiling, or sanitizes to nothing. An empty
* return tells the caller to keep the raw code block instead of rendering.
*/
export function sanitizeSvg(source: string): string {
const trimmed = source.trim();
if (!trimmed || trimmed.length > SVG_MAX_BYTES) return '';
if (!trimmed.startsWith(SVG_TAG_PREFIX)) return '';
const clean = DOMPurify.sanitize(trimmed, SVG_SANITIZE_CONFIG) as unknown as string;
if (!clean || !clean.includes(SVG_TAG_PREFIX)) return '';
return clean;
}
+10
View File
@@ -0,0 +1,10 @@
/**
* Mounts svg markup inside an open shadow root on the host element.
* The shadow boundary scopes the svg <style> and its animations to the host,
* so model authored css can not reach the surrounding page. The caller passes
* markup that is already sanitized, this only isolates and sizes it.
*/
export function mountSvgShadow(host: HTMLElement, markup: string, style: string): void {
const root = host.shadowRoot ?? host.attachShadow({ mode: 'open' });
root.innerHTML = markup ? `<style>${style}</style>${markup}` : '';
}
+1 -1
View File
@@ -312,7 +312,7 @@
/>
<Sidebar.Provider bind:open={sidebarOpen}>
<div class="flex h-screen w-full">
<div class="flex h-full w-full grow">
<Sidebar.Root variant="floating" class="h-full"
><SidebarNavigation bind:this={chatSidebar} /></Sidebar.Root
>