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18 Commits

Author SHA1 Message Date
Georgi Gerganov 4e24cffd8c server : handle content array in chat API (#8449)
* server : handle content array in chat API

* Update examples/server/utils.hpp

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>

---------

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
2024-07-12 14:48:15 +03:00
Georgi Gerganov 6af51c0d96 main : print error on empty input (#8456) 2024-07-12 14:48:04 +03:00
Daniel Bevenius f53226245f llama : suppress unary minus operator warning (#8448)
This commit updates the _try_copy lambda and moves the unary minus
operator to after the cast to int32_t.

The motivation for this that currently the following warning is
generated on windows:

```console
llama.cpp\src\llama.cpp(21147,30): warning C4146: unary minus operator
applied to unsigned type, result still unsigned
```
2024-07-12 12:05:21 +03:00
Douglas Hanley c3ebcfa148 server : ensure batches are either all embed or all completion (#8420)
* make sure batches are all embed or all non-embed

* non-embedding batch for sampled tokens; fix unused params warning
2024-07-12 11:14:12 +03:00
Armen Kaleshian 8a4441ea1a docker : fix filename for convert-hf-to-gguf.py in tools.sh (#8441)
Commit b0a4699 changed the name of this script from convert-hf-to-gguf.py to
convert_hf_to_gguf.py breaking how convert is called from within a Docker
container.
2024-07-12 11:08:19 +03:00
Jiří Podivín 5aefbce27a convert : remove fsep token from GPTRefactForCausalLM (#8237)
The <filename> token used by Refact doesn't serve
the same purpose as the <file_separator> from CodeGemma.

Signed-off-by: Jiri Podivin <jpodivin@redhat.com>
2024-07-12 11:06:33 +03:00
Georgi Gerganov 71c1121d11 examples : sprintf -> snprintf (#8434)
* examples : sprintf -> snprintf

ggml-ci

* examples : use sizeof() instead of hardcoded constants
2024-07-12 10:46:14 +03:00
Georgi Gerganov 370b1f7e7a ggml : minor naming changes (#8433)
* ggml : minor naming changes

ggml-ci

* ggml : use PRId64 [no ci]

* ggml : revert FA K/Q names
2024-07-12 10:46:02 +03:00
Chen Xi b549a1bbef [SYCL] fix the mul_mat_id ut issues (#8427)
* fix part of mul_mat_id

* skip the bfloat 16 sycl ut

Signed-off-by: Chen Xi <xi2chen@intel.com>

---------

Signed-off-by: Chen Xi <xi2chen@intel.com>
Co-authored-by: Meng, Hengyu <hengyu.meng@intel.com>
Co-authored-by: Chen Xi <xi2chen@intel.com>
2024-07-12 08:52:04 +08:00
Nicholai Tukanov 368645698a ggml : add NVPL BLAS support (#8329) (#8425)
* ggml : add NVPL BLAS support

* ggml : replace `<BLASLIB>_ENABLE_CBLAS` with `GGML_BLAS_USE_<BLASLIB>`

---------

Co-authored-by: ntukanov <ntukanov@nvidia.com>
2024-07-11 18:49:15 +02:00
Daniel Bevenius b078c619aa cuda : suppress 'noreturn' warn in no_device_code (#8414)
* cuda : suppress 'noreturn' warn in no_device_code

This commit adds a while(true) loop to the no_device_code function in
common.cuh. This is done to suppress the warning:

```console
/ggml/src/ggml-cuda/template-instances/../common.cuh:346:1: warning:
function declared 'noreturn' should not return [-Winvalid-noreturn]
  346 | }
      | ^
```

The motivation for this is to reduce the number of warnings when
compilng with GGML_HIPBLAS=ON.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>

* squash! cuda : suppress 'noreturn' warn in no_device_code

Update __trap macro instead of using a while loop to suppress the
warning.

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>

---------

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
2024-07-11 17:53:42 +02:00
Johannes Gäßler 808aba3916 CUDA: optimize and refactor MMQ (#8416)
* CUDA: optimize and refactor MMQ

* explicit q8_1 memory layouts, add documentation
2024-07-11 16:47:47 +02:00
Georgi Gerganov a977c11544 gitignore : deprecated binaries 2024-07-11 11:20:40 +03:00
compilade 9a55ffe6fb tokenize : add --no-parse-special option (#8423)
This should allow more easily explaining
how parse_special affects tokenization.
2024-07-11 10:41:48 +03:00
Georgi Gerganov 7a221b672e llama : use F32 precision in Qwen2 attention and no FA (#8412) 2024-07-11 10:21:30 +03:00
Clint Herron 278d0e1846 Initialize default slot sampling parameters from the global context. (#8418) 2024-07-10 20:08:17 -04:00
Clint Herron dd07a123b7 Name Migration: Build the deprecation-warning 'main' binary every time (#8404)
* Modify the deprecation-warning 'main' binary to build every time, instead of only when a legacy binary is present. This is to help users of tutorials and other instruction sets from knowing what to do when the 'main' binary is missing and they are trying to follow instructions.

* Adjusting 'server' name-deprecation binary to build all the time, similar to the 'main' legacy name binary.
2024-07-10 12:35:18 -04:00
AidanBeltonS f4444d992c [SYCL] Use multi_ptr to clean up deprecated warnings (#8256) 2024-07-10 16:10:49 +01:00
35 changed files with 1286 additions and 1063 deletions
+1 -1
View File
@@ -8,7 +8,7 @@ arg1="$1"
shift
if [[ "$arg1" == '--convert' || "$arg1" == '-c' ]]; then
python3 ./convert-hf-to-gguf.py "$@"
python3 ./convert_hf_to_gguf.py "$@"
elif [[ "$arg1" == '--quantize' || "$arg1" == '-q' ]]; then
./llama-quantize "$@"
elif [[ "$arg1" == '--run' || "$arg1" == '-r' ]]; then
+5
View File
@@ -61,6 +61,11 @@ llama-batched-swift
out/
tmp/
# Deprecated
/main
/server
# CI
!.github/workflows/*.yml
+15 -17
View File
@@ -547,11 +547,17 @@ ifdef GGML_OPENBLAS64
endif # GGML_OPENBLAS64
ifdef GGML_BLIS
MK_CPPFLAGS += -DGGML_USE_BLAS -I/usr/local/include/blis -I/usr/include/blis
MK_CPPFLAGS += -DGGML_USE_BLAS -DGGML_BLAS_USE_BLIS -I/usr/local/include/blis -I/usr/include/blis
MK_LDFLAGS += -lblis -L/usr/local/lib
OBJ_GGML += ggml/src/ggml-blas.o
endif # GGML_BLIS
ifdef GGML_NVPL
MK_CPPFLAGS += -DGGML_USE_BLAS -DGGML_BLAS_USE_NVPL -DNVPL_ILP64 -I/usr/local/include/nvpl_blas -I/usr/include/nvpl_blas
MK_LDFLAGS += -L/usr/local/lib -lnvpl_blas_core -lnvpl_blas_ilp64_gomp
OBJ_GGML += ggml/src/ggml-blas.o
endif # GGML_NVPL
ifndef GGML_NO_LLAMAFILE
MK_CPPFLAGS += -DGGML_USE_LLAMAFILE
OBJ_GGML += ggml/src/llamafile/sgemm.o
@@ -1513,15 +1519,17 @@ llama-q8dot: pocs/vdot/q8dot.cpp ggml/src/ggml.o \
# Mark legacy binary targets as .PHONY so that they are always checked.
.PHONY: main quantize perplexity embedding server finetune
# NOTE: We currently will always build the deprecation-warning `main` and `server` binaries to help users migrate.
# Eventually we will want to remove these target from building all the time.
main: examples/deprecation-warning/deprecation-warning.cpp
ifneq (,$(wildcard main))
$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
$(CXX) $(CXXFLAGS) $(filter-out $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
@echo "#########"
@echo "WARNING: The 'main' binary is deprecated. Please use 'llama-cli' instead."
@echo " Remove the 'main' binary to remove this warning."
@echo "#########"
endif
@echo "NOTICE: The 'main' binary is deprecated. Please use 'llama-cli' instead."
server: examples/deprecation-warning/deprecation-warning.cpp
$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
@echo "NOTICE: The 'server' binary is deprecated. Please use 'llama-server' instead."
quantize: examples/deprecation-warning/deprecation-warning.cpp
ifneq (,$(wildcard quantize))
@@ -1553,16 +1561,6 @@ ifneq (,$(wildcard embedding))
@echo "#########"
endif
server: examples/deprecation-warning/deprecation-warning.cpp
ifneq (,$(wildcard server))
$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
@echo "#########"
@echo "WARNING: The 'server' binary is deprecated. Please use 'llama-server' instead."
@echo " Remove the 'server' binary to remove this warning."
@echo "#########"
endif
finetune: examples/deprecation-warning/deprecation-warning.cpp
ifneq (,$(wildcard finetune))
$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
+1 -2
View File
@@ -1203,11 +1203,10 @@ class RefactModel(Model):
# TODO: how to determine special FIM tokens automatically?
special_vocab = gguf.SpecialVocab(self.dir_model, load_merges=False,
special_token_types = ['prefix', 'suffix', 'middle', 'fsep', 'eot'])
special_token_types = ['prefix', 'suffix', 'middle', 'eot'])
special_vocab._set_special_token("prefix", 1)
special_vocab._set_special_token("suffix", 3)
special_vocab._set_special_token("middle", 2)
special_vocab._set_special_token("fsep", 4) # is this correct?
special_vocab.add_to_gguf(self.gguf_writer)
def set_gguf_parameters(self):
+1 -1
View File
@@ -99,7 +99,7 @@ static bool ggml_debug(struct ggml_tensor * t, bool ask, void * user_data) {
char src1_str[128] = {0};
if (src1) {
sprintf(src1_str, "%s{%s}", src1->name, ggml_ne_string(src1).c_str());
snprintf(src1_str, sizeof(src1_str), "%s{%s}", src1->name, ggml_ne_string(src1).c_str());
}
printf("%s: %24s = (%s) %10s(%s{%s}, %s}) = {%s}\n", __func__,
+7 -7
View File
@@ -347,7 +347,7 @@ static hash_exit_code_t gguf_hash(const hash_params & hash_params) {
char hex_result[17];
for (int offset = 0; offset < 8; offset++) {
unsigned int shift_bits_by = (8 * (8 - offset - 1));
sprintf( ( hex_result + (2*offset)), "%02x", (unsigned char) (hash >> shift_bits_by)&0xff);
snprintf( ( hex_result + (2*offset)), sizeof(hex_result) - (2*offset), "%02x", (unsigned char) (hash >> shift_bits_by)&0xff);
}
if (hash_params.manifest_is_usable) {
@@ -384,7 +384,7 @@ static hash_exit_code_t gguf_hash(const hash_params & hash_params) {
char hex_result[41] = {0};
for (int offset = 0; offset < 20; offset++) {
sprintf( ( hex_result + (2*offset)), "%02x", result[offset]&0xff);
snprintf( ( hex_result + (2*offset)), sizeof(hex_result) - (2*offset), "%02x", result[offset]&0xff);
}
if (hash_params.manifest_is_usable) {
@@ -421,7 +421,7 @@ static hash_exit_code_t gguf_hash(const hash_params & hash_params) {
char hex_result[SHA256_DIGEST_SIZE * 2 + 1] = {0};
for (int offset = 0; offset < SHA256_DIGEST_SIZE; offset++) {
sprintf( ( hex_result + (2*offset)), "%02x", result[offset]&0xff);
snprintf( ( hex_result + (2*offset)), sizeof(hex_result) - (2*offset), "%02x", result[offset]&0xff);
}
if (hash_params.manifest_is_usable) {
@@ -460,7 +460,7 @@ static hash_exit_code_t gguf_hash(const hash_params & hash_params) {
char hex_result[17];
for (int offset = 0; offset < 8; offset++) {
unsigned int shift_bits_by = (8 * (8 - offset - 1));
sprintf( ( hex_result + (2*offset)), "%02x", (unsigned char) (hash >> shift_bits_by)&0xff);
snprintf( ( hex_result + (2*offset)), sizeof(hex_result) - (2*offset), "%02x", (unsigned char) (hash >> shift_bits_by)&0xff);
}
if (hash_params.manifest_is_usable) {
@@ -490,7 +490,7 @@ static hash_exit_code_t gguf_hash(const hash_params & hash_params) {
char hex_result[41];
for (int offset = 0; offset < 20; offset++) {
sprintf( ( hex_result + (2*offset)), "%02x", result[offset]&0xff);
snprintf( ( hex_result + (2*offset)), sizeof(hex_result) - (2*offset), "%02x", result[offset]&0xff);
}
if (hash_params.manifest_is_usable) {
@@ -520,7 +520,7 @@ static hash_exit_code_t gguf_hash(const hash_params & hash_params) {
char hex_result[SHA256_DIGEST_SIZE * 2 + 1] = {0};
for (int offset = 0; offset < SHA256_DIGEST_SIZE; offset++) {
sprintf( ( hex_result + (2*offset)), "%02x", result[offset]&0xff);
snprintf( ( hex_result + (2*offset)), sizeof(hex_result) - (2*offset), "%02x", result[offset]&0xff);
}
if (hash_params.manifest_is_usable) {
@@ -552,7 +552,7 @@ static hash_exit_code_t gguf_hash(const hash_params & hash_params) {
generate_uuidv5(result, uuid);
char string_buffer[37] = {0};
sprintf(string_buffer, "%02x%02x%02x%02x-%02x%02x-%02x%02x-%02x%02x-%02x%02x%02x%02x%02x%02x",
snprintf(string_buffer, sizeof(string_buffer), "%02x%02x%02x%02x-%02x%02x-%02x%02x-%02x%02x-%02x%02x%02x%02x%02x%02x",
uuid[0], uuid[1], uuid[2], uuid[3],
uuid[4], uuid[5], uuid[6], uuid[7],
uuid[8], uuid[9], uuid[10], uuid[11],
+7 -2
View File
@@ -289,8 +289,13 @@ int main(int argc, char ** argv) {
// Should not run without any tokens
if (embd_inp.empty()) {
embd_inp.push_back(llama_token_bos(model));
LOG("embd_inp was considered empty and bos was added: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, embd_inp).c_str());
if (add_bos) {
embd_inp.push_back(llama_token_bos(model));
LOG("embd_inp was considered empty and bos was added: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, embd_inp).c_str());
} else {
LOG_TEE("error: input is empty\n");
return -1;
}
}
// Tokenize negative prompt
+1 -1
View File
@@ -154,7 +154,7 @@ static void test_roundtrip_on_chunk(
}
if (use_reference) {
qfns.from_float_reference(input_scratch, quantized_scratch, chunk_size);
qfns.from_float_ref(input_scratch, quantized_scratch, chunk_size);
} else {
qfns.from_float(input_scratch, quantized_scratch, chunk_size);
}
+34 -6
View File
@@ -737,6 +737,8 @@ struct server_context {
slot.ga_n = ga_n;
slot.ga_w = ga_w;
slot.sparams = params.sparams;
slot.reset();
slots.push_back(slot);
@@ -2003,6 +2005,11 @@ struct server_context {
int32_t n_batch = llama_n_batch(ctx);
int32_t n_ubatch = llama_n_ubatch(ctx);
// track if this is an embedding or non-embedding batch
// if we've added sampled tokens above, we are in non-embedding mode
// -1: none, 0: non-embedding, 1: embedding
int32_t batch_type = batch.n_tokens > 0 ? 0 : -1;
// next, batch any pending prompts without exceeding n_batch
if (params.cont_batching || batch.n_tokens == 0) {
for (auto & slot : slots) {
@@ -2173,6 +2180,14 @@ struct server_context {
}
}
// check that we are in the right batch_type, if not defer the slot
bool slot_type = slot.embedding ? 1 : 0;
if (batch_type == -1) {
batch_type = slot_type;
} else if (batch_type != slot_type) {
continue;
}
// keep only the common part
int p0 = (int) system_tokens.size() + slot.n_past;
if (!llama_kv_cache_seq_rm(ctx, slot.id + 1, p0, -1)) {
@@ -2274,6 +2289,9 @@ struct server_context {
{"n_tokens", batch.n_tokens},
});
// make sure we're in the right embedding mode
llama_set_embeddings(ctx, batch_type == 1);
// process the created batch of tokens
for (int32_t i = 0; i < batch.n_tokens; i += n_batch) {
const int32_t n_tokens = std::min(n_batch, batch.n_tokens - i);
@@ -2988,6 +3006,11 @@ int main(int argc, char ** argv) {
};
const auto handle_completions = [&ctx_server, &res_error](const httplib::Request & req, httplib::Response & res) {
if (ctx_server.params.embedding) {
res_error(res, format_error_response("This server does not support completions. Start it without `--embeddings`", ERROR_TYPE_NOT_SUPPORTED));
return;
}
res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
json data = json::parse(req.body);
@@ -3083,6 +3106,11 @@ int main(int argc, char ** argv) {
};
const auto handle_chat_completions = [&ctx_server, &params, &res_error](const httplib::Request & req, httplib::Response & res) {
if (ctx_server.params.embedding) {
res_error(res, format_error_response("This server does not support chat completions. Start it without `--embeddings`", ERROR_TYPE_NOT_SUPPORTED));
return;
}
res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
json data = oaicompat_completion_params_parse(ctx_server.model, json::parse(req.body), params.chat_template);
@@ -3155,6 +3183,11 @@ int main(int argc, char ** argv) {
};
const auto handle_infill = [&ctx_server, &res_error](const httplib::Request & req, httplib::Response & res) {
if (ctx_server.params.embedding) {
res_error(res, format_error_response("This server does not support infill. Start it without `--embeddings`", ERROR_TYPE_NOT_SUPPORTED));
return;
}
res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
json data = json::parse(req.body);
@@ -3241,13 +3274,8 @@ int main(int argc, char ** argv) {
return res.set_content(data.dump(), "application/json; charset=utf-8");
};
const auto handle_embeddings = [&params, &ctx_server, &res_error](const httplib::Request & req, httplib::Response & res) {
const auto handle_embeddings = [&ctx_server, &res_error](const httplib::Request & req, httplib::Response & res) {
res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
if (!params.embedding) {
res.status = 501;
res.set_content("This server does not support embeddings. Start it with `--embeddings`", "text/plain; charset=utf-8");
return;
}
const json body = json::parse(req.body);
bool is_openai = false;
+20 -2
View File
@@ -122,8 +122,26 @@ inline std::string format_chat(const struct llama_model * model, const std::stri
for (size_t i = 0; i < messages.size(); ++i) {
const auto & curr_msg = messages[i];
std::string role = json_value(curr_msg, "role", std::string(""));
std::string content = json_value(curr_msg, "content", std::string(""));
std::string role = json_value(curr_msg, "role", std::string(""));
std::string content;
if (curr_msg.contains("content")) {
if (curr_msg["content"].is_string()) {
content = curr_msg["content"].get<std::string>();
} else if (curr_msg["content"].is_array()) {
for (const auto & part : curr_msg["content"]) {
if (part.contains("text")) {
content += "\n" + part["text"].get<std::string>();
}
}
} else {
throw std::runtime_error("Invalid 'content' type (ref: https://github.com/ggerganov/llama.cpp/issues/8367)");
}
} else {
throw std::runtime_error("Missing 'content' (ref: https://github.com/ggerganov/llama.cpp/issues/8367)");
}
chat.push_back({role, content});
}
+7 -1
View File
@@ -29,6 +29,7 @@ static void print_usage_information(const char * argv0, FILE * stream) {
fprintf(stream, " -p PROMPT, --prompt PROMPT read prompt from the argument.\n");
fprintf(stream, " --stdin read prompt from standard input.\n");
fprintf(stream, " --no-bos do not ever add a BOS token to the prompt, even if normally the model uses a BOS token.\n");
fprintf(stream, " --no-parse-special do not parse control tokens.\n");
fprintf(stream, " --log-disable disable logs. Makes stderr quiet when loading the model.\n");
fprintf(stream, " --show-count print the total number of tokens.\n");
}
@@ -195,6 +196,7 @@ int main(int raw_argc, char ** raw_argv) {
// variables where to put any arguments we see.
bool printing_ids = false;
bool no_bos = false;
bool no_parse_special = false;
bool disable_logging = false;
bool show_token_count = false;
const char * model_path = NULL;
@@ -229,6 +231,9 @@ int main(int raw_argc, char ** raw_argv) {
else if (arg == "--no-bos") {
no_bos = true;
}
else if (arg == "--no-parse-special") {
no_parse_special = true;
}
else if (arg == "-p" || arg == "--prompt") {
if (prompt_set) {
fprintf(stderr, "Error: -p or --prompt specified multiple times.\n");
@@ -359,9 +364,10 @@ int main(int raw_argc, char ** raw_argv) {
const bool model_wants_add_bos = llama_should_add_bos_token(model);
const bool add_bos = model_wants_add_bos && !no_bos;
const bool parse_special = !no_parse_special;
std::vector<llama_token> tokens;
tokens = ::llama_tokenize(model, prompt, add_bos, true);
tokens = ::llama_tokenize(model, prompt, add_bos, parse_special);
if (printing_ids) {
printf("[");
+25 -25
View File
@@ -714,9 +714,9 @@ extern "C" {
GGML_API GGML_CALL size_t ggml_nbytes (const struct ggml_tensor * tensor);
GGML_API size_t ggml_nbytes_pad (const struct ggml_tensor * tensor); // same as ggml_nbytes() but padded to GGML_MEM_ALIGN
GGML_API GGML_CALL int ggml_blck_size(enum ggml_type type);
GGML_API GGML_CALL size_t ggml_type_size(enum ggml_type type); // size in bytes for all elements in a block
GGML_API GGML_CALL size_t ggml_row_size (enum ggml_type type, int64_t ne); // size in bytes for all elements in a row
GGML_API GGML_CALL int64_t ggml_blck_size(enum ggml_type type);
GGML_API GGML_CALL size_t ggml_type_size(enum ggml_type type); // size in bytes for all elements in a block
GGML_API GGML_CALL size_t ggml_row_size (enum ggml_type type, int64_t ne); // size in bytes for all elements in a row
GGML_DEPRECATED(
GGML_API double ggml_type_sizef(enum ggml_type type), // ggml_type_size()/ggml_blck_size() as float
@@ -2410,31 +2410,31 @@ extern "C" {
#endif
typedef void (*ggml_to_float_t) (const void * GGML_RESTRICT x, float * GGML_RESTRICT y, int64_t k);
typedef void (*ggml_from_float_t)(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
typedef void (*ggml_vec_dot_t) (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT x, size_t bx,
const void * GGML_RESTRICT y, size_t by, int nrc);
typedef void (*ggml_from_float_to_mat_t)(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t nr,
int64_t k, int64_t bx);
typedef void (*ggml_gemv_t) (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT x,
const void * GGML_RESTRICT y, int nr, int nc);
typedef void (*ggml_gemm_t) (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT x,
const void * GGML_RESTRICT y, int nr, int nc);
typedef void (*ggml_from_float_to_mat_t)
(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t nr, int64_t k, int64_t bs);
typedef void (*ggml_vec_dot_t) (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT x, size_t bx,
const void * GGML_RESTRICT y, size_t by, int nrc);
typedef void (*ggml_gemv_t) (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT x,
const void * GGML_RESTRICT y, int nr, int nc);
typedef void (*ggml_gemm_t) (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT x,
const void * GGML_RESTRICT y, int nr, int nc);
typedef struct {
const char * type_name;
int blck_size;
size_t type_size;
bool is_quantized;
ggml_to_float_t to_float;
ggml_from_float_t from_float;
ggml_from_float_t from_float_reference;
ggml_vec_dot_t vec_dot;
enum ggml_type vec_dot_type;
int64_t nrows; // number of rows to process simultaneously;
int64_t ncols; // number of columns to process simultaneously;
int64_t interleave_blcksize; // interleave elements in blocks of interleave_blcksize;
const char * type_name;
int64_t blck_size;
int64_t blck_size_interleave; // interleave elements in blocks
size_t type_size;
bool is_quantized;
ggml_to_float_t to_float;
ggml_from_float_t from_float;
ggml_from_float_t from_float_ref;
ggml_from_float_to_mat_t from_float_to_mat;
ggml_gemv_t gemv;
ggml_gemm_t gemm;
ggml_vec_dot_t vec_dot;
enum ggml_type vec_dot_type;
int64_t nrows; // number of rows to process simultaneously
int64_t ncols; // number of columns to process simultaneously
ggml_gemv_t gemv;
ggml_gemm_t gemm;
} ggml_type_traits_t;
GGML_API ggml_type_traits_t ggml_internal_get_type_traits(enum ggml_type type);
+36 -32
View File
@@ -20,19 +20,19 @@
// Functions to create the interleaved data layout formats
// interleave 4 block_q4_0s in blocks of interleave_blcksize
// interleave 4 block_q4_0s in blocks of blck_size_interleave
// returns an interleaved block_q4_0x4
// in the interleaved block_q4_0x4, place deltas for 4 block_q4_0 blocks
// first, then interleave quants from 4 block_q4_0s in blocks of interleave_blcksize
// first, then interleave quants from 4 block_q4_0s in blocks of blck_size_interleave
//
// - in : an array of block_q4_0 pointers
// - interleave_blcksize : the block_q4_0 quants bytes are interleaved in blocks of
// interleave_blcksize bytes
// - blck_size_interleave : the block_q4_0 quants bytes are interleaved in blocks of
// blck_size_interleave bytes
// - xor_mask : the mask to convert the nibbles in block_q4_0 quants bytes
// from bias offset form to pure sign form (this saves subtract
// operations durin unpacking)
//
static block_q4_0x4 make_block_q4_0x4(block_q4_0 * in, unsigned int interleave_blcksize, unsigned int xor_mask) {
static block_q4_0x4 make_block_q4_0x4(block_q4_0 * in, unsigned int blck_size_interleave, unsigned int xor_mask) {
block_q4_0x4 out;
for (int i = 0; i < 4; i++) {
@@ -40,9 +40,9 @@ static block_q4_0x4 make_block_q4_0x4(block_q4_0 * in, unsigned int interleave_b
}
for (int i = 0; i < QK4_0 * 2; i++) {
int src_offset = (i / (4 * interleave_blcksize)) * interleave_blcksize;
int src_id = (i % (4 * interleave_blcksize)) / interleave_blcksize;
src_offset += (i % interleave_blcksize);
int src_offset = (i / (4 * blck_size_interleave)) * blck_size_interleave;
int src_id = (i % (4 * blck_size_interleave)) / blck_size_interleave;
src_offset += (i % blck_size_interleave);
out.qs[i] = in[src_id].qs[src_offset] ^ xor_mask;
}
@@ -50,11 +50,11 @@ static block_q4_0x4 make_block_q4_0x4(block_q4_0 * in, unsigned int interleave_b
return out;
}
// interleave 8 block_q4_0s in blocks of interleave_blcksize
// interleave 8 block_q4_0s in blocks of blck_size_interleave
// returns an interleaved block_q4_0x8
// in the interleaved block_q4_0x8, place deltas for 8 block_q4_0 blocks
// first, then interleave quants from 8 block_q4_0s in blocks of interleave_blcksize
static block_q4_0x8 make_block_q4_0x8(block_q4_0 * in, unsigned int interleave_blcksize, unsigned int xor_mask) {
// first, then interleave quants from 8 block_q4_0s in blocks of blck_size_interleave
static block_q4_0x8 make_block_q4_0x8(block_q4_0 * in, unsigned int blck_size_interleave, unsigned int xor_mask) {
block_q4_0x8 out;
for (int i = 0; i < 8; i++) {
@@ -62,9 +62,9 @@ static block_q4_0x8 make_block_q4_0x8(block_q4_0 * in, unsigned int interleave_b
}
for (int i = 0; i < QK4_0 * 4; i++) {
int src_offset = (i / (8 * interleave_blcksize)) * interleave_blcksize;
int src_id = (i % (8 * interleave_blcksize)) / interleave_blcksize;
src_offset += (i % interleave_blcksize);
int src_offset = (i / (8 * blck_size_interleave)) * blck_size_interleave;
int src_id = (i % (8 * blck_size_interleave)) / blck_size_interleave;
src_offset += (i % blck_size_interleave);
out.qs[i] = in[src_id].qs[src_offset] ^ xor_mask;
}
@@ -135,7 +135,7 @@ void quantize_q8_0_4x4(const float * restrict x, void * restrict vy, int64_t k)
}
#else
// scalar
const int interleave_blcksize = 4;
const int blck_size_interleave = 4;
float srcv[4][QK8_0];
float id[4];
@@ -155,12 +155,12 @@ void quantize_q8_0_4x4(const float * restrict x, void * restrict vy, int64_t k)
}
for (int j = 0; j < QK8_0 * 4; j++) {
int src_offset = (j / (4 * interleave_blcksize)) * interleave_blcksize;
int src_id = (j % (4 * interleave_blcksize)) / interleave_blcksize;
src_offset += (j % interleave_blcksize);
int src_offset = (j / (4 * blck_size_interleave)) * blck_size_interleave;
int src_id = (j % (4 * blck_size_interleave)) / blck_size_interleave;
src_offset += (j % blck_size_interleave);
float x0 = srcv[src_id][src_offset] * id[src_id];
y[i].qs[j] = roundf(x0);;
y[i].qs[j] = roundf(x0);
}
}
#endif
@@ -253,7 +253,7 @@ void quantize_q8_0_4x8(const float * restrict x, void * restrict vy, int64_t k)
}
#else
// scalar
const int interleave_blcksize = 8;
const int blck_size_interleave = 8;
float srcv[4][QK8_0];
float id[4];
@@ -273,26 +273,30 @@ void quantize_q8_0_4x8(const float * restrict x, void * restrict vy, int64_t k)
}
for (int j = 0; j < QK8_0 * 4; j++) {
int src_offset = (j / (4 * interleave_blcksize)) * interleave_blcksize;
int src_id = (j % (4 * interleave_blcksize)) / interleave_blcksize;
src_offset += (j % interleave_blcksize);
int src_offset = (j / (4 * blck_size_interleave)) * blck_size_interleave;
int src_id = (j % (4 * blck_size_interleave)) / blck_size_interleave;
src_offset += (j % blck_size_interleave);
float x0 = srcv[src_id][src_offset] * id[src_id];
y[i].qs[j] = roundf(x0);;
y[i].qs[j] = roundf(x0);
}
}
#endif
}
void quantize_mat_q8_0(const float * restrict x, void * restrict vy, int64_t nrow, int64_t n_per_row, int64_t interleave_blcksize) {
void quantize_mat_q8_0(const float * restrict x, void * restrict vy, int64_t nrow, int64_t n_per_row, int64_t blck_size_interleave) {
assert(nrow == 4);
UNUSED(nrow);
if (interleave_blcksize == 4) quantize_q8_0_4x4(x, vy, n_per_row);
else if (interleave_blcksize == 8) quantize_q8_0_4x8(x, vy, n_per_row);
else assert(false);
if (blck_size_interleave == 4) {
quantize_q8_0_4x4(x, vy, n_per_row);
} else if (blck_size_interleave == 8) {
quantize_q8_0_4x8(x, vy, n_per_row);
} else {
assert(false);
}
}
static size_t quantize_q4_0_nr_bl(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, int nrows_interleaved, int interleave_blcksize) {
static size_t quantize_q4_0_nr_bl(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, int nrows_interleaved, int blck_size_interleave) {
assert(n_per_row % QK4_0 == 0);
const int nb = n_per_row / QK4_0;
@@ -311,15 +315,15 @@ static size_t quantize_q4_0_nr_bl(const float * restrict src, void * restrict ds
for (int64_t x = 0; x < nb; x++) {
for (int i = 0; i < nrows_interleaved; i++ ) {
quantize_row_q4_0_reference(src + b + i * n_per_row + x * QK4_0, (block_q4_0 *) dst_tmp + i, QK4_0);
quantize_row_q4_0_ref(src + b + i * n_per_row + x * QK4_0, (block_q4_0 *) dst_tmp + i, QK4_0);
}
if (nrows_interleaved == 8) {
*(block_q4_0x8 *) out_ptr = make_block_q4_0x8(dst_tmp, interleave_blcksize, 0x88);
*(block_q4_0x8 *) out_ptr = make_block_q4_0x8(dst_tmp, blck_size_interleave, 0x88);
out_ptr = (block_q4_0x8 *) out_ptr + 1;
}
else if (nrows_interleaved == 4) {
*(block_q4_0x4 *) out_ptr = make_block_q4_0x4(dst_tmp, interleave_blcksize, 0x88);
*(block_q4_0x4 *) out_ptr = make_block_q4_0x4(dst_tmp, blck_size_interleave, 0x88);
out_ptr = (block_q4_0x4 *) out_ptr + 1;
}
}
+7 -7
View File
@@ -16,7 +16,7 @@ extern "C" {
void quantize_q8_0_4x4(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_q8_0_4x8(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_mat_q8_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t nrows, int64_t n_per_row, int64_t interleave_blcksize);
void quantize_mat_q8_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t nrows, int64_t n_per_row, int64_t blck_size_interleave);
// Quantization utilizing an importance matrix (a.k.a. "Activation aWare Quantization")
size_t quantize_q4_0_4x4(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
@@ -24,14 +24,14 @@ size_t quantize_q4_0_4x8(const float * GGML_RESTRICT src, void * GGML_RESTRICT d
size_t quantize_q4_0_8x8(const float * GGML_RESTRICT src, void * GGML_RESTRICT dst, int64_t nrows, int64_t n_per_row, const float * imatrix);
// GEMV
void ggml_gemv_q4_0_4x4_q8_0 (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
void ggml_gemv_q4_0_4x8_q8_0 (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
void ggml_gemv_q4_0_8x8_q8_0 (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
void ggml_gemv_q4_0_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
void ggml_gemv_q4_0_4x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
void ggml_gemv_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
// GEMM
void ggml_gemm_q4_0_4x4_q8_0 (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
void ggml_gemm_q4_0_4x8_q8_0 (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
void ggml_gemm_q4_0_8x8_q8_0 (int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
void ggml_gemm_q4_0_4x4_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
void ggml_gemm_q4_0_4x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
void ggml_gemm_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc);
#ifdef __cplusplus
}
+1 -1
View File
@@ -394,7 +394,7 @@ void ggml_backend_event_wait(ggml_backend_t backend, ggml_backend_event_t event)
// backend registry
#define GGML_REG_MAX_BACKENDS 16
#define GGML_REG_MAX_BACKENDS 64
struct ggml_backend_reg {
char name[128];
+9 -4
View File
@@ -8,11 +8,12 @@
# include <Accelerate/Accelerate.h>
#elif defined(GGML_BLAS_USE_MKL)
# include <mkl.h>
#elif defined(GGML_BLAS_USE_BLIS)
# include <blis.h>
#elif defined(GGML_BLAS_USE_NVPL)
# include <nvpl_blas.h>
#else
# include <cblas.h>
# ifdef BLIS_ENABLE_CBLAS
# include <blis.h>
# endif
#endif
struct ggml_backend_blas_context {
@@ -140,10 +141,14 @@ static void ggml_backend_blas_mul_mat(ggml_backend_blas_context * ctx, struct gg
openblas_set_num_threads(ctx->n_threads);
#endif
#if defined(BLIS_ENABLE_CBLAS)
#if defined(GGML_BLAS_USE_BLIS)
bli_thread_set_num_threads(ctx->n_threads);
#endif
#if defined(GGML_BLAS_USE_NVPL)
nvpl_blas_set_num_threads(ctx->n_threads);
#endif
for (int64_t i13 = 0; i13 < ne13; i13++) {
for (int64_t i12 = 0; i12 < ne12; i12++) {
const int64_t i03 = i13/r3;
+1 -1
View File
@@ -104,7 +104,7 @@
#define cudaStreamWaitEvent(stream, event, flags) hipStreamWaitEvent(stream, event, flags)
#define cudaStream_t hipStream_t
#define cudaSuccess hipSuccess
#define __trap abort
#define __trap() do { abort(); __builtin_unreachable(); } while(0)
#define CUBLAS_STATUS_SUCCESS HIPBLAS_STATUS_SUCCESS
#define CUBLAS_STATUS_NOT_INITIALIZED HIPBLAS_STATUS_NOT_INITIALIZED
#define CUBLAS_STATUS_ALLOC_FAILED HIPBLAS_STATUS_ALLOC_FAILED
+4
View File
@@ -70,6 +70,10 @@ struct mma_int_A_I16K8 {
}
#endif // defined(INT8_MMA_AVAILABLE)
}
__device__ __forceinline__ void load_low(const int * __restrict__ xs0, const int & stride) {
((mma_int_A_I16K4 *) x)[0].load(xs0, stride);
}
};
struct mma_int_B_J8K4 {
+727 -638
View File
File diff suppressed because it is too large Load Diff
+82 -25
View File
@@ -37,47 +37,92 @@ static __global__ void quantize_q8_1(const float * __restrict__ x, void * __rest
reinterpret_cast<half&>(y[ib].ds.y) = sum;
}
template <bool need_sum>
template <mmq_q8_1_ds_layout ds_layout>
static __global__ void quantize_mmq_q8_1(
const float * __restrict__ x, void * __restrict__ vy, const int64_t kx0, const int64_t kx1, const int64_t kx0_padded) {
const int64_t ix0 = (int64_t)blockDim.x*blockIdx.x + threadIdx.x;
constexpr int vals_per_scale = ds_layout == MMQ_Q8_1_DS_LAYOUT_D2S6 ? 64 : 32;
constexpr int vals_per_sum = ds_layout == MMQ_Q8_1_DS_LAYOUT_D2S6 ? 16 : 32;
const int64_t ix0 = ((int64_t)blockDim.x*blockIdx.x + threadIdx.x)*4;
if (ix0 >= kx0_padded) {
return;
}
const float4 * x4 = (const float4 *) x;
const int64_t ix1 = kx1*blockIdx.z + blockIdx.y;
block_q8_1_mmq * y = (block_q8_1_mmq *) vy;
const int64_t ib0 = blockIdx.z*(gridDim.y*gridDim.x*blockDim.x/(4*QK8_1)); // first block of channel
const int64_t ib = ib0 + (ix0 / (4*QK8_1))*kx1 + blockIdx.y; // block index in channel
const int64_t iqs = ix0 % (4*QK8_1); // quant index in block
const int64_t ib0 = blockIdx.z*((int64_t)gridDim.y*gridDim.x*blockDim.x/QK8_1); // first block of channel
const int64_t ib = ib0 + (ix0 / (4*QK8_1))*kx1 + blockIdx.y; // block index in channel
const int64_t iqs = ix0 % (4*QK8_1); // quant index in block
const float xi = ix0 < kx0 ? x[ix1*kx0 + ix0] : 0.0f;
float amax = fabsf(xi);
// Load 4 floats per thread and calculate max. abs. value between them:
const float4 xi = ix0 < kx0 ? x4[(ix1*kx0 + ix0)/4] : make_float4(0.0f, 0.0f, 0.0f, 0.0f);
float amax = fabsf(xi.x);
amax = fmaxf(amax, fabsf(xi.y));
amax = fmaxf(amax, fabsf(xi.z));
amax = fmaxf(amax, fabsf(xi.w));
amax = warp_reduce_max(amax);
float sum;
if (need_sum) {
sum = warp_reduce_sum(xi);
// Exchange max. abs. value between vals_per_scale/4 threads.
#pragma unroll
for (int mask = vals_per_scale/8; mask > 0; mask >>= 1) {
amax = fmaxf(amax, __shfl_xor_sync(0xFFFFFFFF, amax, mask, WARP_SIZE));
}
const float d = amax / 127;
const int8_t q = amax == 0.0f ? 0 : roundf(xi / d);
float sum;
if (ds_layout != MMQ_Q8_1_DS_LAYOUT_D4) {
sum = xi.x + xi.y + xi.z + xi.w;
y[ib].qs[iqs] = q;
// Exchange calculate sum across vals_per_sum/4 threads.
#pragma unroll
for (int mask = vals_per_sum/8; mask > 0; mask >>= 1) {
sum += __shfl_xor_sync(0xFFFFFFFF, sum, mask, WARP_SIZE);
}
}
const float d_inv = 127.0f / amax;
char4 q;
q.x = roundf(xi.x*d_inv);
q.y = roundf(xi.y*d_inv);
q.z = roundf(xi.z*d_inv);
q.w = roundf(xi.w*d_inv);
// Write back 4 int8 values as a single 32 bit value for better memroy bandwidth:
char4 * yqs4 = (char4 *) y[ib].qs;
yqs4[iqs/4] = q;
if (ds_layout == MMQ_Q8_1_DS_LAYOUT_D2S6) {
if (iqs % 16 != 0 || iqs >= 96) {
return;
}
y[ib].d2s6[2 + iqs/16] = sum;
if (iqs % 64 != 0) {
return;
}
const float d = 1.0f / d_inv;
y[ib].d2s6[iqs/64] = d;
if (iqs % QK8_1 != 0) {
return;
}
if (need_sum) {
y[ib].ds[iqs/QK8_1] = make_half2(d, sum);
if (iqs % 32 != 0) {
return;
}
const float d = 1.0f / d_inv;
if (ds_layout == MMQ_Q8_1_DS_LAYOUT_DS4) {
y[ib].ds4[iqs/32] = make_half2(d, sum);
} else {
((float *) y[ib].ds)[iqs/QK8_1] = d;
y[ib].d4[iqs/32] = d;
}
}
@@ -101,12 +146,24 @@ void quantize_mmq_q8_1_cuda(
GGML_ASSERT(kx0_padded % (4*QK8_1) == 0);
const int64_t block_num_x = (kx0_padded + CUDA_QUANTIZE_BLOCK_SIZE - 1) / CUDA_QUANTIZE_BLOCK_SIZE;
const int64_t block_num_x = (kx0_padded + 4*CUDA_QUANTIZE_BLOCK_SIZE_MMQ - 1) / (4*CUDA_QUANTIZE_BLOCK_SIZE_MMQ);
const dim3 num_blocks(block_num_x, kx1, channels);
const dim3 block_size(CUDA_QUANTIZE_BLOCK_SIZE, 1, 1);
if (mmq_need_sum(type_x)) {
quantize_mmq_q8_1<true><<<num_blocks, block_size, 0, stream>>>(x, vy, kx0, kx1, kx0_padded);
} else {
quantize_mmq_q8_1<false><<<num_blocks, block_size, 0, stream>>>(x, vy, kx0, kx1, kx0_padded);
const dim3 block_size(CUDA_QUANTIZE_BLOCK_SIZE_MMQ, 1, 1);
switch (mmq_get_q8_1_ds_layout(type_x)) {
case MMQ_Q8_1_DS_LAYOUT_D4:
quantize_mmq_q8_1<MMQ_Q8_1_DS_LAYOUT_D4>
<<<num_blocks, block_size, 0, stream>>>(x, vy, kx0, kx1, kx0_padded);
break;
case MMQ_Q8_1_DS_LAYOUT_DS4:
quantize_mmq_q8_1<MMQ_Q8_1_DS_LAYOUT_DS4>
<<<num_blocks, block_size, 0, stream>>>(x, vy, kx0, kx1, kx0_padded);
break;
case MMQ_Q8_1_DS_LAYOUT_D2S6:
quantize_mmq_q8_1<MMQ_Q8_1_DS_LAYOUT_D2S6>
<<<num_blocks, block_size, 0, stream>>>(x, vy, kx0, kx1, kx0_padded);
break;
default:
GGML_ASSERT(false);
break;
}
}
+5 -1
View File
@@ -5,7 +5,11 @@
#include <cstdint>
#define CUDA_QUANTIZE_BLOCK_SIZE 256
#define CUDA_QUANTIZE_BLOCK_SIZE 256
#define CUDA_QUANTIZE_BLOCK_SIZE_MMQ 128
static_assert(MATRIX_ROW_PADDING % CUDA_QUANTIZE_BLOCK_SIZE == 0, "Risk of out-of-bounds access.");
static_assert(MATRIX_ROW_PADDING % (4*CUDA_QUANTIZE_BLOCK_SIZE_MMQ) == 0, "Risk of out-of-bounds access.");
typedef void (*quantize_cuda_t)(
const float * x, void * vy, const int64_t kx0, const int64_t kx1, const int64_t channels, const int64_t kx0_padded,
+49 -23
View File
@@ -189,7 +189,7 @@ template <int vdr> static __device__ __forceinline__ float vec_dot_q8_1_q8_1_imp
}
#define VDR_Q2_K_Q8_1_MMVQ 1
#define VDR_Q2_K_Q8_1_MMQ 2
#define VDR_Q2_K_Q8_1_MMQ 4
// contiguous v/x values
static __device__ __forceinline__ float vec_dot_q2_K_q8_1_impl_mmvq(
@@ -219,32 +219,56 @@ static __device__ __forceinline__ float vec_dot_q2_K_q8_1_impl_mmvq(
return dm2f.x*sumf_d - dm2f.y*sumf_m;
}
// contiguous u/y values
// contiguous v/x + u/y values
template <int ns8>
static __device__ __forceinline__ float vec_dot_q2_K_q8_1_impl_mmq(
const int * __restrict__ v, const int * __restrict__ u, const half2 * dm2, const float & d8) {
const int * __restrict__ v, const int * __restrict__ u, const half2 * dm2, const float & d8, const half2 * s8) {
float sumf_d = 0.0f;
float sumf_m = 0.0f;
float sumf = 0.0f;
float sumf_d8 = 0.0f;
#pragma unroll
for (int i0 = 0; i0 < QI8_1; i0 += QI8_1/2) {
const float2 dm2f = __half22float2(dm2[i0/(QI8_1/2)]);
int sumi_d = 0;
int sumi_m = 0;
for (int i0 = 0; i0 < QR2_K*VDR_Q2_K_Q8_1_MMQ; i0 += QI8_1) {
const float2 dm2f0 = __half22float2(dm2[i0/(QI8_1/2) + 0]);
int sumi_d0 = 0;
const float2 dm2f1 = __half22float2(dm2[i0/(QI8_1/2) + 1]);
int sumi_d1 = 0;
const int vi0 = v[i0/(QI8_1/2)];
#pragma unroll
for (int i = i0; i < i0 + QI8_1/2; ++i) {
const int vi = (vi0 >> (2*(i % (QI8_1/2)))) & 0x03030303;
sumi_d = ggml_cuda_dp4a(vi, u[i], sumi_d); // SIMD dot product
sumi_m = ggml_cuda_dp4a(0x01010101, u[i], sumi_m);
sumi_d0 = ggml_cuda_dp4a(v[i], u[i], sumi_d0);
}
sumf_d8 += dm2f0.x * sumi_d0;
sumf_d += dm2f.x * sumi_d;
sumf_m += dm2f.y * sumi_m;
#pragma unroll
for (int i = i0 + QI8_1/2; i < i0 + QI8_1; ++i) {
sumi_d1 = ggml_cuda_dp4a(v[i], u[i], sumi_d1);
}
sumf_d8 += dm2f1.x * sumi_d1;
if (i0/QI8_1 < ns8) {
const float2 s8f = __half22float2(s8[i0/QI8_1]);
sumf -= dm2f0.y*s8f.x;
sumf -= dm2f1.y*s8f.y;
} else {
int sumi_m0 = 0;
#pragma unroll
for (int i = i0; i < i0 + QI8_1/2; ++i) {
sumi_m0 = ggml_cuda_dp4a(0x01010101, u[i], sumi_m0);
}
sumf_d8 -= dm2f0.y * sumi_m0;
int sumi_m1 = 0;
#pragma unroll
for (int i = i0 + QI8_1/2; i < i0 + QI8_1; ++i) {
sumi_m1 = ggml_cuda_dp4a(0x01010101, u[i], sumi_m1);
}
sumf_d8 -= dm2f1.y * sumi_m1;
}
}
return d8*(sumf_d - sumf_m);
return sumf + d8*sumf_d8;
}
#define VDR_Q3_K_Q8_1_MMVQ 1
@@ -283,7 +307,7 @@ static __device__ __forceinline__ float vec_dot_q3_K_q8_1_impl_mmvq(
return d3 * sumf;
}
// contiguous u/y values
// contiguous v/x + u/y values
static __device__ __forceinline__ float vec_dot_q3_K_q8_1_impl_mmq(
const int * __restrict__ v, const int * __restrict__ u, const int8_t * __restrict__ scales,
const float & d3, const float & d8) {
@@ -296,8 +320,7 @@ static __device__ __forceinline__ float vec_dot_q3_K_q8_1_impl_mmq(
#pragma unroll
for (int i = i0; i < i0 + QI8_1/2; ++i) {
const int vi = __vsubss4((v[i/2] >> (4*(i%2))) & 0x0F0F0F0F, 0x04040404);
sumi_sc = ggml_cuda_dp4a(vi, u[i], sumi_sc); // SIMD dot product
sumi_sc = ggml_cuda_dp4a(v[i], u[i], sumi_sc); // SIMD dot product
}
sumi += sumi_sc * scales[i0 / (QI8_1/2)];
@@ -334,7 +357,7 @@ static __device__ __forceinline__ float vec_dot_q4_K_q8_1_impl_vmmq(
return dm4f.x*sumf_d - dm4f.y*sumf_m;
}
// contiguous u/y values
// contiguous v/x + u/y values
static __device__ __forceinline__ float vec_dot_q4_K_q8_1_impl_mmq(
const int * __restrict__ v, const int * __restrict__ u, const uint8_t * __restrict__ sc,
const uint8_t * __restrict__ m, const half2 & dm4, const half2 * __restrict__ ds8) {
@@ -397,7 +420,7 @@ static __device__ __forceinline__ float vec_dot_q5_K_q8_1_impl_vmmq(
return dm5f.x*sumf_d - dm5f.y*sumf_m;
}
// contiguous u/y values
// contiguous v/x + u/y values
static __device__ __forceinline__ float vec_dot_q5_K_q8_1_impl_mmq(
const int * __restrict__ v, const int * __restrict__ u, const uint8_t * __restrict__ sc,
const uint8_t * __restrict__ m, const half2 & dm4, const half2 * __restrict__ ds8) {
@@ -451,13 +474,16 @@ static __device__ __forceinline__ float vec_dot_q6_K_q8_1_impl_mmvq(
return d*sumf;
}
// contiguous u/y values
// contiguous v/x + u/y values
static __device__ __forceinline__ float vec_dot_q6_K_q8_1_impl_mmq(
const int * __restrict__ v, const int * __restrict__ u, const int8_t * __restrict__ sc,
const float & d6, const float * __restrict__ d8) {
float sumf_d = 0.0f;
const int sc_packed = get_int_b4(sc, 0);
const int8_t * sc_reg = (const int8_t *) &sc_packed;
#pragma unroll
for (int i0 = 0; i0 < VDR_Q6_K_Q8_1_MMQ; i0 += 4) {
int2 sumi_d = {0, 0}; // 2 q6_K scales per q8_1 scale
@@ -471,7 +497,7 @@ static __device__ __forceinline__ float vec_dot_q6_K_q8_1_impl_mmq(
sumi_d.y = ggml_cuda_dp4a(v[2*i+5], u[2*i+5], sumi_d.y); // SIMD dot product
}
sumf_d += d8[i0/4] * (sc[i0/2+0]*sumi_d.x + sc[i0/2+1]*sumi_d.y);
sumf_d += d8[i0/4] * (sc_reg[i0/2+0]*sumi_d.x + sc_reg[i0/2+1]*sumi_d.y);
}
return d6 * sumf_d;
+47 -47
View File
@@ -658,7 +658,7 @@ static inline __m128i packNibbles( __m256i bytes ) {
#endif //__loongarch_asx
// reference implementation for deterministic creation of model files
void quantize_row_q4_0_reference(const float * restrict x, block_q4_0 * restrict y, int64_t k) {
void quantize_row_q4_0_ref(const float * restrict x, block_q4_0 * restrict y, int64_t k) {
static const int qk = QK4_0;
assert(k % qk == 0);
@@ -696,11 +696,11 @@ void quantize_row_q4_0_reference(const float * restrict x, block_q4_0 * restrict
}
void quantize_row_q4_0(const float * restrict x, void * restrict y, int64_t k) {
quantize_row_q4_0_reference(x, y, k);
quantize_row_q4_0_ref(x, y, k);
}
void quantize_row_q4_1_reference(const float * restrict x, block_q4_1 * restrict y, int64_t k) {
void quantize_row_q4_1_ref(const float * restrict x, block_q4_1 * restrict y, int64_t k) {
const int qk = QK4_1;
assert(k % qk == 0);
@@ -738,10 +738,10 @@ void quantize_row_q4_1_reference(const float * restrict x, block_q4_1 * restrict
}
void quantize_row_q4_1(const float * restrict x, void * restrict y, int64_t k) {
quantize_row_q4_1_reference(x, y, k);
quantize_row_q4_1_ref(x, y, k);
}
void quantize_row_q5_0_reference(const float * restrict x, block_q5_0 * restrict y, int64_t k) {
void quantize_row_q5_0_ref(const float * restrict x, block_q5_0 * restrict y, int64_t k) {
static const int qk = QK5_0;
assert(k % qk == 0);
@@ -786,10 +786,10 @@ void quantize_row_q5_0_reference(const float * restrict x, block_q5_0 * restrict
}
void quantize_row_q5_0(const float * restrict x, void * restrict y, int64_t k) {
quantize_row_q5_0_reference(x, y, k);
quantize_row_q5_0_ref(x, y, k);
}
void quantize_row_q5_1_reference(const float * restrict x, block_q5_1 * restrict y, int64_t k) {
void quantize_row_q5_1_ref(const float * restrict x, block_q5_1 * restrict y, int64_t k) {
const int qk = QK5_1;
assert(k % qk == 0);
@@ -834,11 +834,11 @@ void quantize_row_q5_1_reference(const float * restrict x, block_q5_1 * restrict
}
void quantize_row_q5_1(const float * restrict x, void * restrict y, int64_t k) {
quantize_row_q5_1_reference(x, y, k);
quantize_row_q5_1_ref(x, y, k);
}
// reference implementation for deterministic creation of model files
void quantize_row_q8_0_reference(const float * restrict x, block_q8_0 * restrict y, int64_t k) {
void quantize_row_q8_0_ref(const float * restrict x, block_q8_0 * restrict y, int64_t k) {
assert(k % QK8_0 == 0);
const int nb = k / QK8_0;
@@ -1144,12 +1144,12 @@ void quantize_row_q8_0(const float * restrict x, void * restrict vy, int64_t k)
#else
GGML_UNUSED(nb);
// scalar
quantize_row_q8_0_reference(x, y, k);
quantize_row_q8_0_ref(x, y, k);
#endif
}
// reference implementation for deterministic creation of model files
void quantize_row_q8_1_reference(const float * restrict x, block_q8_1 * restrict y, int64_t k) {
void quantize_row_q8_1_ref(const float * restrict x, block_q8_1 * restrict y, int64_t k) {
assert(QK8_1 == 32);
assert(k % QK8_1 == 0);
const int nb = k / QK8_1;
@@ -1508,7 +1508,7 @@ void quantize_row_q8_1(const float * restrict x, void * restrict vy, int64_t k)
#else
GGML_UNUSED(nb);
// scalar
quantize_row_q8_1_reference(x, y, k);
quantize_row_q8_1_ref(x, y, k);
#endif
}
@@ -1899,7 +1899,7 @@ static inline void get_scale_min_k4(int j, const uint8_t * restrict q, uint8_t *
//========================- 2-bit (de)-quantization
void quantize_row_q2_K_reference(const float * restrict x, block_q2_K * restrict y, int64_t k) {
void quantize_row_q2_K_ref(const float * restrict x, block_q2_K * restrict y, int64_t k) {
assert(k % QK_K == 0);
const int nb = k / QK_K;
@@ -2002,7 +2002,7 @@ void dequantize_row_q2_K(const block_q2_K * restrict x, float * restrict y, int6
}
void quantize_row_q2_K(const float * restrict x, void * restrict vy, int64_t k) {
quantize_row_q2_K_reference(x, vy, k);
quantize_row_q2_K_ref(x, vy, k);
}
static float make_qkx3_quants(int n, int nmax, const float * restrict x, const float * restrict weights,
@@ -2226,7 +2226,7 @@ static void quantize_row_q2_K_impl(const float * restrict x, block_q2_K * restri
size_t quantize_q2_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
size_t row_size = ggml_row_size(GGML_TYPE_Q2_K, n_per_row);
if (!quant_weights) {
quantize_row_q2_K_reference(src, dst, (int64_t)nrow*n_per_row);
quantize_row_q2_K_ref(src, dst, (int64_t)nrow*n_per_row);
}
else {
char * qrow = (char *)dst;
@@ -2241,7 +2241,7 @@ size_t quantize_q2_K(const float * restrict src, void * restrict dst, int64_t nr
//========================= 3-bit (de)-quantization
void quantize_row_q3_K_reference(const float * restrict x, block_q3_K * restrict y, int64_t k) {
void quantize_row_q3_K_ref(const float * restrict x, block_q3_K * restrict y, int64_t k) {
assert(k % QK_K == 0);
const int nb = k / QK_K;
@@ -2368,7 +2368,7 @@ void dequantize_row_q3_K(const block_q3_K * restrict x, float * restrict y, int6
}
void quantize_row_q3_K(const float * restrict x, void * restrict vy, int64_t k) {
quantize_row_q3_K_reference(x, vy, k);
quantize_row_q3_K_ref(x, vy, k);
}
static void quantize_row_q3_K_impl(const float * restrict x, block_q3_K * restrict y, int64_t n_per_row, const float * restrict quant_weights) {
@@ -2458,7 +2458,7 @@ static void quantize_row_q3_K_impl(const float * restrict x, block_q3_K * restri
size_t quantize_q3_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
size_t row_size = ggml_row_size(GGML_TYPE_Q3_K, n_per_row);
if (!quant_weights) {
quantize_row_q3_K_reference(src, dst, (int64_t)nrow*n_per_row);
quantize_row_q3_K_ref(src, dst, (int64_t)nrow*n_per_row);
}
else {
char * qrow = (char *)dst;
@@ -2473,7 +2473,7 @@ size_t quantize_q3_K(const float * restrict src, void * restrict dst, int64_t nr
// ====================== 4-bit (de)-quantization
void quantize_row_q4_K_reference(const float * restrict x, block_q4_K * restrict y, int64_t k) {
void quantize_row_q4_K_ref(const float * restrict x, block_q4_K * restrict y, int64_t k) {
assert(k % QK_K == 0);
const int nb = k / QK_K;
@@ -2572,7 +2572,7 @@ void dequantize_row_q4_K(const block_q4_K * restrict x, float * restrict y, int6
void quantize_row_q4_K(const float * restrict x, void * restrict vy, int64_t k) {
assert(k % QK_K == 0);
block_q4_K * restrict y = vy;
quantize_row_q4_K_reference(x, y, k);
quantize_row_q4_K_ref(x, y, k);
}
static void quantize_row_q4_K_impl(const float * restrict x, block_q4_K * restrict y, int64_t n_per_row, const float * quant_weights) {
@@ -2651,7 +2651,7 @@ static void quantize_row_q4_K_impl(const float * restrict x, block_q4_K * restri
size_t quantize_q4_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
size_t row_size = ggml_row_size(GGML_TYPE_Q4_K, n_per_row);
if (!quant_weights) {
quantize_row_q4_K_reference(src, dst, (int64_t)nrow*n_per_row);
quantize_row_q4_K_ref(src, dst, (int64_t)nrow*n_per_row);
}
else {
char * qrow = (char *)dst;
@@ -2666,7 +2666,7 @@ size_t quantize_q4_K(const float * restrict src, void * restrict dst, int64_t nr
// ====================== 5-bit (de)-quantization
void quantize_row_q5_K_reference(const float * restrict x, block_q5_K * restrict y, int64_t k) {
void quantize_row_q5_K_ref(const float * restrict x, block_q5_K * restrict y, int64_t k) {
assert(k % QK_K == 0);
const int64_t nb = k / QK_K;
@@ -2783,7 +2783,7 @@ void dequantize_row_q5_K(const block_q5_K * restrict x, float * restrict y, int6
void quantize_row_q5_K(const float * restrict x, void * restrict vy, int64_t k) {
assert(k % QK_K == 0);
block_q5_K * restrict y = vy;
quantize_row_q5_K_reference(x, y, k);
quantize_row_q5_K_ref(x, y, k);
}
static void quantize_row_q5_K_impl(const float * restrict x, block_q5_K * restrict y, int64_t n_per_row, const float * quant_weights) {
@@ -2882,7 +2882,7 @@ static void quantize_row_q5_K_impl(const float * restrict x, block_q5_K * restri
size_t quantize_q5_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
size_t row_size = ggml_row_size(GGML_TYPE_Q5_K, n_per_row);
if (!quant_weights) {
quantize_row_q5_K_reference(src, dst, (int64_t)nrow*n_per_row);
quantize_row_q5_K_ref(src, dst, (int64_t)nrow*n_per_row);
}
else {
char * qrow = (char *)dst;
@@ -2897,7 +2897,7 @@ size_t quantize_q5_K(const float * restrict src, void * restrict dst, int64_t nr
// ====================== 6-bit (de)-quantization
void quantize_row_q6_K_reference(const float * restrict x, block_q6_K * restrict y, int64_t k) {
void quantize_row_q6_K_ref(const float * restrict x, block_q6_K * restrict y, int64_t k) {
assert(k % QK_K == 0);
const int64_t nb = k / QK_K;
@@ -3001,7 +3001,7 @@ void dequantize_row_q6_K(const block_q6_K * restrict x, float * restrict y, int6
void quantize_row_q6_K(const float * restrict x, void * restrict vy, int64_t k) {
assert(k % QK_K == 0);
block_q6_K * restrict y = vy;
quantize_row_q6_K_reference(x, y, k);
quantize_row_q6_K_ref(x, y, k);
}
static void quantize_row_q6_K_impl(const float * restrict x, block_q6_K * restrict y, int64_t n_per_row, const float * quant_weights) {
@@ -3091,7 +3091,7 @@ static void quantize_row_q6_K_impl(const float * restrict x, block_q6_K * restri
size_t quantize_q6_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
size_t row_size = ggml_row_size(GGML_TYPE_Q6_K, n_per_row);
if (!quant_weights) {
quantize_row_q6_K_reference(src, dst, (int64_t)nrow*n_per_row);
quantize_row_q6_K_ref(src, dst, (int64_t)nrow*n_per_row);
}
else {
char * qrow = (char *)dst;
@@ -3108,7 +3108,7 @@ static void quantize_row_q4_0_impl(const float * restrict x, block_q4_0 * restri
static_assert(QK4_0 == 32, "QK4_0 must be 32");
if (!quant_weights) {
quantize_row_q4_0_reference(x, y, n_per_row);
quantize_row_q4_0_ref(x, y, n_per_row);
return;
}
@@ -3134,7 +3134,7 @@ static void quantize_row_q4_0_impl(const float * restrict x, block_q4_0 * restri
size_t quantize_q4_0(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
if (!quant_weights) {
quantize_row_q4_0_reference(src, dst, (int64_t)nrow*n_per_row);
quantize_row_q4_0_ref(src, dst, (int64_t)nrow*n_per_row);
return nrow * ggml_row_size(GGML_TYPE_Q4_0, n_per_row);
}
size_t row_size = ggml_row_size(GGML_TYPE_Q4_0, n_per_row);
@@ -3151,7 +3151,7 @@ static void quantize_row_q4_1_impl(const float * restrict x, block_q4_1 * restri
static_assert(QK4_1 == 32, "QK4_1 must be 32");
if (!quant_weights) {
quantize_row_q4_1_reference(x, y, n_per_row);
quantize_row_q4_1_ref(x, y, n_per_row);
return;
}
@@ -3179,7 +3179,7 @@ static void quantize_row_q4_1_impl(const float * restrict x, block_q4_1 * restri
size_t quantize_q4_1(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
if (!quant_weights) {
quantize_row_q4_1_reference(src, dst, (int64_t)nrow*n_per_row);
quantize_row_q4_1_ref(src, dst, (int64_t)nrow*n_per_row);
return nrow * ggml_row_size(GGML_TYPE_Q4_1, n_per_row);
}
size_t row_size = ggml_row_size(GGML_TYPE_Q4_1, n_per_row);
@@ -3196,7 +3196,7 @@ static void quantize_row_q5_0_impl(const float * restrict x, block_q5_0 * restri
static_assert(QK5_0 == 32, "QK5_0 must be 32");
if (!quant_weights) {
quantize_row_q5_0_reference(x, y, n_per_row);
quantize_row_q5_0_ref(x, y, n_per_row);
return;
}
@@ -3233,7 +3233,7 @@ static void quantize_row_q5_0_impl(const float * restrict x, block_q5_0 * restri
size_t quantize_q5_0(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
if (!quant_weights) {
quantize_row_q5_0_reference(src, dst, (int64_t)nrow*n_per_row);
quantize_row_q5_0_ref(src, dst, (int64_t)nrow*n_per_row);
return nrow * ggml_row_size(GGML_TYPE_Q5_0, n_per_row);
}
size_t row_size = ggml_row_size(GGML_TYPE_Q5_0, n_per_row);
@@ -3250,7 +3250,7 @@ static void quantize_row_q5_1_impl(const float * restrict x, block_q5_1 * restri
static_assert(QK5_1 == 32, "QK5_1 must be 32");
if (!quant_weights) {
quantize_row_q5_1_reference(x, y, n_per_row);
quantize_row_q5_1_ref(x, y, n_per_row);
return;
}
@@ -3286,7 +3286,7 @@ static void quantize_row_q5_1_impl(const float * restrict x, block_q5_1 * restri
size_t quantize_q5_1(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
if (!quant_weights) {
quantize_row_q5_1_reference(src, dst, (int64_t)nrow*n_per_row);
quantize_row_q5_1_ref(src, dst, (int64_t)nrow*n_per_row);
return nrow * ggml_row_size(GGML_TYPE_Q5_1, n_per_row);
}
size_t row_size = ggml_row_size(GGML_TYPE_Q5_1, n_per_row);
@@ -3302,7 +3302,7 @@ size_t quantize_q5_1(const float * restrict src, void * restrict dst, int64_t nr
size_t quantize_q8_0(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
(void)quant_weights; // not used
const size_t row_size = ggml_row_size(GGML_TYPE_Q8_0, n_per_row);
quantize_row_q8_0_reference(src, dst, (int64_t)nrow*n_per_row);
quantize_row_q8_0_ref(src, dst, (int64_t)nrow*n_per_row);
return nrow * row_size;
}
@@ -3590,7 +3590,7 @@ void dequantize_row_iq4_xs(const block_iq4_xs * restrict x, float * restrict y,
//===================================== Q8_K ==============================================
void quantize_row_q8_K_reference(const float * restrict x, block_q8_K * restrict y, int64_t k) {
void quantize_row_q8_K_ref(const float * restrict x, block_q8_K * restrict y, int64_t k) {
assert(k % QK_K == 0);
const int64_t nb = k / QK_K;
@@ -3641,7 +3641,7 @@ void dequantize_row_q8_K(const block_q8_K * restrict x, float * restrict y, int6
}
void quantize_row_q8_K(const float * restrict x, void * restrict y, int64_t k) {
quantize_row_q8_K_reference(x, y, k);
quantize_row_q8_K_ref(x, y, k);
}
//===================================== Dot ptoducts =================================
@@ -13530,10 +13530,10 @@ size_t quantize_iq3_xxs(const float * restrict src, void * restrict dst, int64_t
void quantize_row_iq3_xxs(const float * restrict x, void * restrict vy, int64_t k) {
assert(k % QK_K == 0);
block_iq3_xxs * restrict y = vy;
quantize_row_iq3_xxs_reference(x, y, k);
quantize_row_iq3_xxs_ref(x, y, k);
}
void quantize_row_iq3_xxs_reference(const float * restrict x, block_iq3_xxs * restrict y, int64_t k) {
void quantize_row_iq3_xxs_ref(const float * restrict x, block_iq3_xxs * restrict y, int64_t k) {
assert(k % QK_K == 0);
quantize_row_iq3_xxs_impl(256, x, y, k, NULL);
}
@@ -13746,10 +13746,10 @@ size_t quantize_iq3_s(const float * restrict src, void * restrict dst, int64_t n
void quantize_row_iq3_s(const float * restrict x, void * restrict vy, int64_t k) {
assert(k % QK_K == 0);
block_iq3_s * restrict y = vy;
quantize_row_iq3_s_reference(x, y, k);
quantize_row_iq3_s_ref(x, y, k);
}
void quantize_row_iq3_s_reference(const float * restrict x, block_iq3_s * restrict y, int64_t k) {
void quantize_row_iq3_s_ref(const float * restrict x, block_iq3_s * restrict y, int64_t k) {
assert(k % QK_K == 0);
quantize_iq3_s(x, y, 1, k, NULL);
}
@@ -14487,7 +14487,7 @@ void quantize_row_iq4_nl(const float * restrict x, void * restrict vy, int64_t k
}
}
void quantize_row_iq4_nl_reference(const float * restrict x, block_iq4_nl * restrict y, int64_t k) {
void quantize_row_iq4_nl_ref(const float * restrict x, block_iq4_nl * restrict y, int64_t k) {
assert(k % QK4_NL == 0);
quantize_row_iq4_nl(x, y, k);
}
@@ -14515,10 +14515,10 @@ size_t quantize_iq4_xs(const float * restrict src, void * restrict dst, int64_t
void quantize_row_iq4_xs(const float * restrict x, void * restrict vy, int64_t k) {
assert(k % QK_K == 0);
block_iq4_xs * restrict y = vy;
quantize_row_iq4_xs_reference(x, y, k);
quantize_row_iq4_xs_ref(x, y, k);
}
void quantize_row_iq4_xs_reference(const float * restrict x, block_iq4_xs * restrict y, int64_t k) {
void quantize_row_iq4_xs_ref(const float * restrict x, block_iq4_xs * restrict y, int64_t k) {
assert(k % QK_K == 0);
quantize_iq4_xs(x, y, 1, k, NULL);
}
@@ -14705,7 +14705,7 @@ size_t quantize_iq2_s(const float * restrict src, void * restrict dst, int64_t n
return nrow * nblock * sizeof(block_iq2_s);
}
void quantize_row_iq2_s_reference(const float * restrict x, block_iq2_s * restrict y, int64_t k) {
void quantize_row_iq2_s_ref(const float * restrict x, block_iq2_s * restrict y, int64_t k) {
assert(k % QK_K == 0);
quantize_iq2_s(x, y, 1, k, NULL);
}
@@ -14713,7 +14713,7 @@ void quantize_row_iq2_s_reference(const float * restrict x, block_iq2_s * restri
void quantize_row_iq2_s(const float * restrict x, void * restrict vy, int64_t k) {
assert(k % QK_K == 0);
block_iq2_s * restrict y = vy;
quantize_row_iq2_s_reference(x, y, k);
quantize_row_iq2_s_ref(x, y, k);
}
static bool validate_float(float f, size_t i) {
+17 -17
View File
@@ -12,25 +12,25 @@ extern "C" {
#endif
// Quantization
void quantize_row_q4_0_reference(const float * GGML_RESTRICT x, block_q4_0 * GGML_RESTRICT y, int64_t k);
void quantize_row_q4_1_reference(const float * GGML_RESTRICT x, block_q4_1 * GGML_RESTRICT y, int64_t k);
void quantize_row_q5_0_reference(const float * GGML_RESTRICT x, block_q5_0 * GGML_RESTRICT y, int64_t k);
void quantize_row_q5_1_reference(const float * GGML_RESTRICT x, block_q5_1 * GGML_RESTRICT y, int64_t k);
void quantize_row_q8_0_reference(const float * GGML_RESTRICT x, block_q8_0 * GGML_RESTRICT y, int64_t k);
void quantize_row_q8_1_reference(const float * GGML_RESTRICT x, block_q8_1 * GGML_RESTRICT y, int64_t k);
void quantize_row_q4_0_ref(const float * GGML_RESTRICT x, block_q4_0 * GGML_RESTRICT y, int64_t k);
void quantize_row_q4_1_ref(const float * GGML_RESTRICT x, block_q4_1 * GGML_RESTRICT y, int64_t k);
void quantize_row_q5_0_ref(const float * GGML_RESTRICT x, block_q5_0 * GGML_RESTRICT y, int64_t k);
void quantize_row_q5_1_ref(const float * GGML_RESTRICT x, block_q5_1 * GGML_RESTRICT y, int64_t k);
void quantize_row_q8_0_ref(const float * GGML_RESTRICT x, block_q8_0 * GGML_RESTRICT y, int64_t k);
void quantize_row_q8_1_ref(const float * GGML_RESTRICT x, block_q8_1 * GGML_RESTRICT y, int64_t k);
void quantize_row_q2_K_reference(const float * GGML_RESTRICT x, block_q2_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q3_K_reference(const float * GGML_RESTRICT x, block_q3_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q4_K_reference(const float * GGML_RESTRICT x, block_q4_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q5_K_reference(const float * GGML_RESTRICT x, block_q5_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q6_K_reference(const float * GGML_RESTRICT x, block_q6_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q8_K_reference(const float * GGML_RESTRICT x, block_q8_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q2_K_ref(const float * GGML_RESTRICT x, block_q2_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q3_K_ref(const float * GGML_RESTRICT x, block_q3_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q4_K_ref(const float * GGML_RESTRICT x, block_q4_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q5_K_ref(const float * GGML_RESTRICT x, block_q5_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q6_K_ref(const float * GGML_RESTRICT x, block_q6_K * GGML_RESTRICT y, int64_t k);
void quantize_row_q8_K_ref(const float * GGML_RESTRICT x, block_q8_K * GGML_RESTRICT y, int64_t k);
void quantize_row_iq3_xxs_reference(const float * GGML_RESTRICT x, block_iq3_xxs * GGML_RESTRICT y, int64_t k);
void quantize_row_iq4_nl_reference (const float * GGML_RESTRICT x, block_iq4_nl * GGML_RESTRICT y, int64_t k);
void quantize_row_iq4_xs_reference (const float * GGML_RESTRICT x, block_iq4_xs * GGML_RESTRICT y, int64_t k);
void quantize_row_iq3_s_reference (const float * GGML_RESTRICT x, block_iq3_s * GGML_RESTRICT y, int64_t k);
void quantize_row_iq2_s_reference (const float * GGML_RESTRICT x, block_iq2_s * GGML_RESTRICT y, int64_t k);
void quantize_row_iq3_xxs_ref(const float * GGML_RESTRICT x, block_iq3_xxs * GGML_RESTRICT y, int64_t k);
void quantize_row_iq4_nl_ref (const float * GGML_RESTRICT x, block_iq4_nl * GGML_RESTRICT y, int64_t k);
void quantize_row_iq4_xs_ref (const float * GGML_RESTRICT x, block_iq4_xs * GGML_RESTRICT y, int64_t k);
void quantize_row_iq3_s_ref (const float * GGML_RESTRICT x, block_iq3_s * GGML_RESTRICT y, int64_t k);
void quantize_row_iq2_s_ref (const float * GGML_RESTRICT x, block_iq2_s * GGML_RESTRICT y, int64_t k);
void quantize_row_q4_0(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
void quantize_row_q4_1(const float * GGML_RESTRICT x, void * GGML_RESTRICT y, int64_t k);
+13 -36
View File
@@ -3768,37 +3768,13 @@ static void ggml_sycl_mul_mat_id(ggml_backend_sycl_context & ctx, const ggml_ten
stream->memcpy(ids_host.data(), ids_dev, ggml_nbytes(ids))));
SYCL_CHECK(CHECK_TRY_ERROR(stream->wait()));
const ggml_tensor_extra_gpu *src0_extra =
(const ggml_tensor_extra_gpu *)src0->extra;
const ggml_tensor_extra_gpu *src1_extra =
(const ggml_tensor_extra_gpu *)src1->extra;
const ggml_tensor_extra_gpu *dst_extra =
(const ggml_tensor_extra_gpu *)dst->extra;
ggml_tensor_extra_gpu src0_row_extra;
ggml_tensor_extra_gpu src1_row_extra;
ggml_tensor_extra_gpu dst_row_extra;
ggml_tensor src0_row = *src0;
ggml_tensor src1_row = *src1;
ggml_tensor dst_row = *dst;
src1_row.backend = GGML_BACKEND_TYPE_GPU;
dst_row.backend = GGML_BACKEND_TYPE_GPU;
src0_row.extra = &src0_row_extra;
src1_row.extra = &src1_row_extra;
dst_row.extra = &dst_row_extra;
char *src0_original = src1->backend == GGML_BACKEND_TYPE_CPU
? (char *)src0->data
: (char *)src0_extra->data_device[ctx.device];
char *src1_original = src1->backend == GGML_BACKEND_TYPE_CPU
? (char *)src1->data
: (char *)src1_extra->data_device[ctx.device];
char *dst_original = dst->backend == GGML_BACKEND_TYPE_CPU
? (char *)dst->data
: (char *)dst_extra->data_device[ctx.device];
char *src0_original = (char *)src0->data;
char *src1_original = (char *)src1->data;
char *dst_original = (char *)dst->data;
src0_row.ne[2] = 1;
src0_row.ne[3] = 1;
@@ -3827,12 +3803,9 @@ static void ggml_sycl_mul_mat_id(ggml_backend_sycl_context & ctx, const ggml_ten
const int64_t i1 = id;
const int64_t i2 = i12;
src0_row_extra.data_device[ctx.device] =
src0_original + i02*nb02;
src1_row_extra.data_device[ctx.device] =
src1_original + + i11*nb11 + i12*nb12;
dst_row_extra.data_device[ctx.device] =
dst_original + i1*nb1 + i2*nb2;
src0_row.data = src0_original + i02*nb02;
src1_row.data = src1_original + + i11*nb11 + i12*nb12;
dst_row.data = dst_original + i1*nb1 + i2*nb2;
ggml_sycl_mul_mat(ctx, &src0_row, &src1_row, &dst_row);
}
@@ -3841,8 +3814,8 @@ static void ggml_sycl_mul_mat_id(ggml_backend_sycl_context & ctx, const ggml_ten
ggml_sycl_pool_alloc<char> src1_contiguous(ctx.pool(), sizeof(float)*ggml_nelements(src1));
ggml_sycl_pool_alloc<char> dst_contiguous(ctx.pool(), sizeof(float)*ggml_nelements(dst));
src1_row_extra.data_device[ctx.device] = src1_contiguous.get();
dst_row_extra.data_device[ctx.device] = dst_contiguous.get();
src1_row.data = src1_contiguous.get();
dst_row.data = dst_contiguous.get();
for (int64_t i02 = 0; i02 < n_as; i02++) {
int64_t num_src1_rows = 0;
@@ -3898,7 +3871,7 @@ static void ggml_sycl_mul_mat_id(ggml_backend_sycl_context & ctx, const ggml_ten
});
}
src0_row_extra.data_device[ctx.device] = src0_original + i02*nb02;
src0_row.data = src0_original + i02*nb02;
GGML_ASSERT(nb11 == sizeof(float)*ne10);
GGML_ASSERT(nb1 == sizeof(float)*ne0);
@@ -5221,6 +5194,10 @@ GGML_CALL static bool ggml_backend_sycl_supports_op(ggml_backend_t backend, cons
return false;
}
}
ggml_type src0_type = op->src[0]->type;
if (src0_type == GGML_TYPE_BF16) {
return false;
}
return true;
} break;
case GGML_OP_GET_ROWS:
+6
View File
@@ -346,4 +346,10 @@ inline sycl::vec<Tp, n> vec_aligned_load(const Tp* aligned_ptr) {
return *reinterpret_cast<const sycl::vec<Tp, n>*>(aligned_ptr);
}
// Helper for accessing pointers with no warnings
template <typename Tp, int dim>
static __dpct_inline__ Tp* get_pointer(sycl::local_accessor<Tp, dim> acc) {
return acc.template get_multi_ptr<sycl::access::decorated::no>().get();
}
#endif // GGML_SYCL_COMMON_HPP
+1 -1
View File
@@ -158,7 +158,7 @@ static void dequantize_row_q4_K_sycl(const void *vx, dst_t *y, const int k,
sycl::range<3>(1, 1, 32),
sycl::range<3>(1, 1, 32)),
[=](sycl::nd_item<3> item_ct1) {
dequantize_block_q4_K(vx, y, scale_local_acc.get_pointer(), item_ct1);
dequantize_block_q4_K(vx, y, get_pointer(scale_local_acc), item_ct1);
});
});
}
+92 -92
View File
@@ -1835,10 +1835,10 @@ static void ggml_mul_mat_q4_0_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q4_0<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_qs_q4_0_acc_ct1.get_pointer(),
tile_x_d_q4_0_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_qs_q4_0_acc_ct1),
get_pointer(tile_x_d_q4_0_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -1870,10 +1870,10 @@ static void ggml_mul_mat_q4_0_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q4_0<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_qs_q4_0_acc_ct1.get_pointer(),
tile_x_d_q4_0_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_qs_q4_0_acc_ct1),
get_pointer(tile_x_d_q4_0_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -1950,10 +1950,10 @@ static void ggml_mul_mat_q4_1_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q4_1<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_qs_q4_1_acc_ct1.get_pointer(),
tile_x_dm_q4_1_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_qs_q4_1_acc_ct1),
get_pointer(tile_x_dm_q4_1_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -1985,10 +1985,10 @@ static void ggml_mul_mat_q4_1_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q4_1<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_qs_q4_1_acc_ct1.get_pointer(),
tile_x_dm_q4_1_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_qs_q4_1_acc_ct1),
get_pointer(tile_x_dm_q4_1_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2065,10 +2065,10 @@ static void ggml_mul_mat_q5_0_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q5_0<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_q5_0_acc_ct1.get_pointer(),
tile_x_d_q5_0_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_q5_0_acc_ct1),
get_pointer(tile_x_d_q5_0_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2100,10 +2100,10 @@ static void ggml_mul_mat_q5_0_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q5_0<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_q5_0_acc_ct1.get_pointer(),
tile_x_d_q5_0_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_q5_0_acc_ct1),
get_pointer(tile_x_d_q5_0_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2180,10 +2180,10 @@ static void ggml_mul_mat_q5_1_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q5_1<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_q5_1_acc_ct1.get_pointer(),
tile_x_dm_q5_1_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_q5_1_acc_ct1),
get_pointer(tile_x_dm_q5_1_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2215,10 +2215,10 @@ static void ggml_mul_mat_q5_1_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q5_1<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_q5_1_acc_ct1.get_pointer(),
tile_x_dm_q5_1_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_q5_1_acc_ct1),
get_pointer(tile_x_dm_q5_1_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2295,10 +2295,10 @@ static void ggml_mul_mat_q8_0_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q8_0<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_qs_q8_0_acc_ct1.get_pointer(),
tile_x_d_q8_0_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_qs_q8_0_acc_ct1),
get_pointer(tile_x_d_q8_0_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2330,10 +2330,10 @@ static void ggml_mul_mat_q8_0_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q8_0<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_qs_q8_0_acc_ct1.get_pointer(),
tile_x_d_q8_0_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_qs_q8_0_acc_ct1),
get_pointer(tile_x_d_q8_0_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2412,11 +2412,11 @@ static void ggml_mul_mat_q2_K_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q2_K<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_q2_K_acc_ct1.get_pointer(),
tile_x_dm_q2_K_acc_ct1.get_pointer(),
tile_x_sc_q2_K_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_q2_K_acc_ct1),
get_pointer(tile_x_dm_q2_K_acc_ct1),
get_pointer(tile_x_sc_q2_K_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2450,11 +2450,11 @@ static void ggml_mul_mat_q2_K_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q2_K<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_q2_K_acc_ct1.get_pointer(),
tile_x_dm_q2_K_acc_ct1.get_pointer(),
tile_x_sc_q2_K_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_q2_K_acc_ct1),
get_pointer(tile_x_dm_q2_K_acc_ct1),
get_pointer(tile_x_sc_q2_K_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2537,12 +2537,12 @@ static void ggml_mul_mat_q3_K_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q3_K<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_q3_K_acc_ct1.get_pointer(),
tile_x_dm_q3_K_acc_ct1.get_pointer(),
tile_x_qh_q3_K_acc_ct1.get_pointer(),
tile_x_sc_q3_K_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_q3_K_acc_ct1),
get_pointer(tile_x_dm_q3_K_acc_ct1),
get_pointer(tile_x_qh_q3_K_acc_ct1),
get_pointer(tile_x_sc_q3_K_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2578,12 +2578,12 @@ static void ggml_mul_mat_q3_K_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q3_K<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_q3_K_acc_ct1.get_pointer(),
tile_x_dm_q3_K_acc_ct1.get_pointer(),
tile_x_qh_q3_K_acc_ct1.get_pointer(),
tile_x_sc_q3_K_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_q3_K_acc_ct1),
get_pointer(tile_x_dm_q3_K_acc_ct1),
get_pointer(tile_x_qh_q3_K_acc_ct1),
get_pointer(tile_x_sc_q3_K_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2663,11 +2663,11 @@ static void ggml_mul_mat_q4_K_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q4_K<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_q4_K_acc_ct1.get_pointer(),
tile_x_dm_q4_K_acc_ct1.get_pointer(),
tile_x_sc_q4_K_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_q4_K_acc_ct1),
get_pointer(tile_x_dm_q4_K_acc_ct1),
get_pointer(tile_x_sc_q4_K_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2701,11 +2701,11 @@ static void ggml_mul_mat_q4_K_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q4_K<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_q4_K_acc_ct1.get_pointer(),
tile_x_dm_q4_K_acc_ct1.get_pointer(),
tile_x_sc_q4_K_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_q4_K_acc_ct1),
get_pointer(tile_x_dm_q4_K_acc_ct1),
get_pointer(tile_x_sc_q4_K_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2784,11 +2784,11 @@ static void ggml_mul_mat_q5_K_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q5_K<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_q5_K_acc_ct1.get_pointer(),
tile_x_dm_q5_K_acc_ct1.get_pointer(),
tile_x_sc_q5_K_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_q5_K_acc_ct1),
get_pointer(tile_x_dm_q5_K_acc_ct1),
get_pointer(tile_x_sc_q5_K_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2822,11 +2822,11 @@ static void ggml_mul_mat_q5_K_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q5_K<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_q5_K_acc_ct1.get_pointer(),
tile_x_dm_q5_K_acc_ct1.get_pointer(),
tile_x_sc_q5_K_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_q5_K_acc_ct1),
get_pointer(tile_x_dm_q5_K_acc_ct1),
get_pointer(tile_x_sc_q5_K_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2905,11 +2905,11 @@ static void ggml_mul_mat_q6_K_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q6_K<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_acc_ct1.get_pointer(),
tile_x_dm_acc_ct1.get_pointer(),
tile_x_sc_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_acc_ct1),
get_pointer(tile_x_dm_acc_ct1),
get_pointer(tile_x_sc_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
@@ -2943,11 +2943,11 @@ static void ggml_mul_mat_q6_K_q8_1_sycl(const void *vx, const void *vy,
mul_mat_q6_K<need_check>(
vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
nrows_dst, item_ct1,
tile_x_ql_acc_ct1.get_pointer(),
tile_x_dm_acc_ct1.get_pointer(),
tile_x_sc_acc_ct1.get_pointer(),
tile_y_qs_acc_ct1.get_pointer(),
tile_y_ds_acc_ct1.get_pointer());
get_pointer(tile_x_ql_acc_ct1),
get_pointer(tile_x_dm_acc_ct1),
get_pointer(tile_x_sc_acc_ct1),
get_pointer(tile_y_qs_acc_ct1),
get_pointer(tile_y_ds_acc_ct1));
});
});
}
+3 -3
View File
@@ -218,7 +218,7 @@ static void norm_f32_sycl(const float* x, float* dst, const int ncols,
[=](sycl::nd_item<3> item_ct1)
[[intel::reqd_sub_group_size(WARP_SIZE)]] {
norm_f32(x, dst, ncols, eps, item_ct1,
s_sum_acc_ct1.get_pointer(), work_group_size);
get_pointer(s_sum_acc_ct1), work_group_size);
});
});
}
@@ -265,7 +265,7 @@ static void group_norm_f32_sycl(const float* x, float* dst,
[[intel::reqd_sub_group_size(WARP_SIZE)]] {
group_norm_f32(x, dst, group_size, ne_elements,
eps_ct4, item_ct1,
s_sum_acc_ct1.get_pointer(), work_group_size);
get_pointer(s_sum_acc_ct1), work_group_size);
});
});
}
@@ -306,7 +306,7 @@ static void rms_norm_f32_sycl(const float* x, float* dst, const int ncols,
[=](sycl::nd_item<3> item_ct1)
[[intel::reqd_sub_group_size(WARP_SIZE)]] {
rms_norm_f32(x, dst, ncols, eps, item_ct1,
s_sum_acc_ct1.get_pointer(), work_group_size);
get_pointer(s_sum_acc_ct1), work_group_size);
});
});
}
+1 -1
View File
@@ -136,7 +136,7 @@ static void soft_max_f32_submitter(const float * x, const float * mask, float *
soft_max_f32<vals_smem, ncols_template, block_size_template>(x, mask, dst, ncols_par,
nrows_y, scale, max_bias, m0,
m1, n_head_log2, item_ct1,
local_buf_acc.get_pointer());
get_pointer(local_buf_acc));
});
});
}
+55 -56
View File
@@ -592,7 +592,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = false,
.to_float = (ggml_to_float_t) ggml_fp16_to_fp32_row,
.from_float = (ggml_from_float_t) ggml_fp32_to_fp16_row,
.from_float_reference = (ggml_from_float_t) ggml_fp32_to_fp16_row,
.from_float_ref = (ggml_from_float_t) ggml_fp32_to_fp16_row,
.vec_dot = (ggml_vec_dot_t) ggml_vec_dot_f16,
.vec_dot_type = GGML_TYPE_F16,
.nrows = 1,
@@ -604,7 +604,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_q4_0,
.from_float = quantize_row_q4_0,
.from_float_reference = (ggml_from_float_t) quantize_row_q4_0_reference,
.from_float_ref = (ggml_from_float_t) quantize_row_q4_0_ref,
.vec_dot = ggml_vec_dot_q4_0_q8_0,
.vec_dot_type = GGML_TYPE_Q8_0,
#if defined (__ARM_FEATURE_MATMUL_INT8)
@@ -620,7 +620,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_q4_1,
.from_float = quantize_row_q4_1,
.from_float_reference = (ggml_from_float_t) quantize_row_q4_1_reference,
.from_float_ref = (ggml_from_float_t) quantize_row_q4_1_ref,
.vec_dot = ggml_vec_dot_q4_1_q8_1,
.vec_dot_type = GGML_TYPE_Q8_1,
#if defined (__ARM_FEATURE_MATMUL_INT8)
@@ -636,7 +636,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = false,
.to_float = NULL,
.from_float = NULL,
.from_float_reference = NULL,
.from_float_ref = NULL,
.vec_dot = NULL,
.vec_dot_type = GGML_TYPE_COUNT,
.nrows = 1,
@@ -648,7 +648,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = false,
.to_float = NULL,
.from_float = NULL,
.from_float_reference = NULL,
.from_float_ref = NULL,
.vec_dot = NULL,
.vec_dot_type = GGML_TYPE_COUNT,
.nrows = 1,
@@ -660,7 +660,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_q5_0,
.from_float = quantize_row_q5_0,
.from_float_reference = (ggml_from_float_t) quantize_row_q5_0_reference,
.from_float_ref = (ggml_from_float_t) quantize_row_q5_0_ref,
.vec_dot = ggml_vec_dot_q5_0_q8_0,
.vec_dot_type = GGML_TYPE_Q8_0,
.nrows = 1,
@@ -672,7 +672,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_q5_1,
.from_float = quantize_row_q5_1,
.from_float_reference = (ggml_from_float_t) quantize_row_q5_1_reference,
.from_float_ref = (ggml_from_float_t) quantize_row_q5_1_ref,
.vec_dot = ggml_vec_dot_q5_1_q8_1,
.vec_dot_type = GGML_TYPE_Q8_1,
.nrows = 1,
@@ -684,7 +684,8 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_q8_0,
.from_float = quantize_row_q8_0,
.from_float_reference = (ggml_from_float_t) quantize_row_q8_0_reference,
.from_float_ref = (ggml_from_float_t) quantize_row_q8_0_ref,
.from_float_to_mat = quantize_mat_q8_0,
.vec_dot = ggml_vec_dot_q8_0_q8_0,
.vec_dot_type = GGML_TYPE_Q8_0,
#if defined (__ARM_FEATURE_MATMUL_INT8)
@@ -692,7 +693,6 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
#else
.nrows = 1,
#endif
.from_float_to_mat = quantize_mat_q8_0,
},
[GGML_TYPE_Q8_1] = {
.type_name = "q8_1",
@@ -700,7 +700,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.type_size = sizeof(block_q8_1),
.is_quantized = true,
.from_float = quantize_row_q8_1,
.from_float_reference = (ggml_from_float_t) quantize_row_q8_1_reference,
.from_float_ref = (ggml_from_float_t) quantize_row_q8_1_ref,
.vec_dot_type = GGML_TYPE_Q8_1,
.nrows = 1,
},
@@ -711,7 +711,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_q2_K,
.from_float = quantize_row_q2_K,
.from_float_reference = (ggml_from_float_t) quantize_row_q2_K_reference,
.from_float_ref = (ggml_from_float_t) quantize_row_q2_K_ref,
.vec_dot = ggml_vec_dot_q2_K_q8_K,
.vec_dot_type = GGML_TYPE_Q8_K,
.nrows = 1,
@@ -723,7 +723,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_q3_K,
.from_float = quantize_row_q3_K,
.from_float_reference = (ggml_from_float_t) quantize_row_q3_K_reference,
.from_float_ref = (ggml_from_float_t) quantize_row_q3_K_ref,
.vec_dot = ggml_vec_dot_q3_K_q8_K,
.vec_dot_type = GGML_TYPE_Q8_K,
.nrows = 1,
@@ -735,7 +735,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_q4_K,
.from_float = quantize_row_q4_K,
.from_float_reference = (ggml_from_float_t) quantize_row_q4_K_reference,
.from_float_ref = (ggml_from_float_t) quantize_row_q4_K_ref,
.vec_dot = ggml_vec_dot_q4_K_q8_K,
.vec_dot_type = GGML_TYPE_Q8_K,
.nrows = 1,
@@ -747,7 +747,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_q5_K,
.from_float = quantize_row_q5_K,
.from_float_reference = (ggml_from_float_t) quantize_row_q5_K_reference,
.from_float_ref = (ggml_from_float_t) quantize_row_q5_K_ref,
.vec_dot = ggml_vec_dot_q5_K_q8_K,
.vec_dot_type = GGML_TYPE_Q8_K,
.nrows = 1,
@@ -759,7 +759,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_q6_K,
.from_float = quantize_row_q6_K,
.from_float_reference = (ggml_from_float_t) quantize_row_q6_K_reference,
.from_float_ref = (ggml_from_float_t) quantize_row_q6_K_ref,
.vec_dot = ggml_vec_dot_q6_K_q8_K,
.vec_dot_type = GGML_TYPE_Q8_K,
.nrows = 1,
@@ -771,7 +771,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_iq2_xxs,
.from_float = NULL,
.from_float_reference = NULL,
.from_float_ref = NULL,
.vec_dot = ggml_vec_dot_iq2_xxs_q8_K,
.vec_dot_type = GGML_TYPE_Q8_K,
.nrows = 1,
@@ -783,7 +783,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_iq2_xs,
.from_float = NULL,
.from_float_reference = NULL,
.from_float_ref = NULL,
.vec_dot = ggml_vec_dot_iq2_xs_q8_K,
.vec_dot_type = GGML_TYPE_Q8_K,
.nrows = 1,
@@ -795,7 +795,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_iq3_xxs,
.from_float = quantize_row_iq3_xxs,
.from_float_reference = (ggml_from_float_t)quantize_row_iq3_xxs_reference,
.from_float_ref = (ggml_from_float_t)quantize_row_iq3_xxs_ref,
.vec_dot = ggml_vec_dot_iq3_xxs_q8_K,
.vec_dot_type = GGML_TYPE_Q8_K,
.nrows = 1,
@@ -807,7 +807,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_iq3_s,
.from_float = quantize_row_iq3_s,
.from_float_reference = (ggml_from_float_t)quantize_row_iq3_s_reference,
.from_float_ref = (ggml_from_float_t)quantize_row_iq3_s_ref,
.vec_dot = ggml_vec_dot_iq3_s_q8_K,
.vec_dot_type = GGML_TYPE_Q8_K,
.nrows = 1,
@@ -819,7 +819,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_iq2_s,
.from_float = quantize_row_iq2_s,
.from_float_reference = (ggml_from_float_t)quantize_row_iq2_s_reference,
.from_float_ref = (ggml_from_float_t)quantize_row_iq2_s_ref,
.vec_dot = ggml_vec_dot_iq2_s_q8_K,
.vec_dot_type = GGML_TYPE_Q8_K,
.nrows = 1,
@@ -831,7 +831,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_iq1_s,
.from_float = NULL,
.from_float_reference = NULL,
.from_float_ref = NULL,
.vec_dot = ggml_vec_dot_iq1_s_q8_K,
.vec_dot_type = GGML_TYPE_Q8_K,
.nrows = 1,
@@ -843,7 +843,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_iq1_m,
.from_float = NULL,
.from_float_reference = NULL,
.from_float_ref = NULL,
.vec_dot = ggml_vec_dot_iq1_m_q8_K,
.vec_dot_type = GGML_TYPE_Q8_K,
.nrows = 1,
@@ -855,7 +855,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_iq4_nl,
.from_float = quantize_row_iq4_nl,
.from_float_reference = (ggml_from_float_t)quantize_row_iq4_nl_reference,
.from_float_ref = (ggml_from_float_t)quantize_row_iq4_nl_ref,
.vec_dot = ggml_vec_dot_iq4_nl_q8_0,
.vec_dot_type = GGML_TYPE_Q8_0,
.nrows = 1,
@@ -867,7 +867,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = true,
.to_float = (ggml_to_float_t) dequantize_row_iq4_xs,
.from_float = quantize_row_iq4_xs,
.from_float_reference = (ggml_from_float_t)quantize_row_iq4_xs_reference,
.from_float_ref = (ggml_from_float_t)quantize_row_iq4_xs_ref,
.vec_dot = ggml_vec_dot_iq4_xs_q8_K,
.vec_dot_type = GGML_TYPE_Q8_K,
.nrows = 1,
@@ -886,7 +886,7 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
.is_quantized = false,
.to_float = (ggml_to_float_t) ggml_bf16_to_fp32_row,
.from_float = (ggml_from_float_t) ggml_fp32_to_bf16_row,
.from_float_reference = (ggml_from_float_t) ggml_fp32_to_bf16_row,
.from_float_ref = (ggml_from_float_t) ggml_fp32_to_bf16_row,
.vec_dot = (ggml_vec_dot_t) ggml_vec_dot_bf16,
.vec_dot_type = GGML_TYPE_BF16,
.nrows = 1,
@@ -894,48 +894,48 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
[GGML_TYPE_Q4_0_4_4] = {
.type_name = "q4_0_4x4",
.blck_size = QK4_0,
.blck_size_interleave = 4,
.type_size = sizeof(block_q4_0),
.is_quantized = true,
.to_float = NULL,
.from_float = NULL,
.from_float_reference = NULL,
.from_float_ref = NULL,
.vec_dot = NULL,
.vec_dot_type = GGML_TYPE_Q8_0,
.nrows = 1,
.ncols = 4,
.interleave_blcksize = 4,
.gemv = ggml_gemv_q4_0_4x4_q8_0,
.gemm = ggml_gemm_q4_0_4x4_q8_0,
},
[GGML_TYPE_Q4_0_4_8] = {
.type_name = "q4_0_4x8",
.blck_size = QK4_0,
.blck_size_interleave = 8,
.type_size = sizeof(block_q4_0),
.is_quantized = true,
.to_float = NULL,
.from_float = NULL,
.from_float_reference = NULL,
.from_float_ref = NULL,
.vec_dot = NULL,
.vec_dot_type = GGML_TYPE_Q8_0,
.nrows = 1,
.ncols = 4,
.interleave_blcksize = 8,
.gemv = ggml_gemv_q4_0_4x8_q8_0,
.gemm = ggml_gemm_q4_0_4x8_q8_0,
},
[GGML_TYPE_Q4_0_8_8] = {
.type_name = "q4_0_8x8",
.blck_size = QK4_0,
.blck_size_interleave = 8,
.type_size = sizeof(block_q4_0),
.is_quantized = true,
.to_float = NULL,
.from_float = NULL,
.from_float_reference = NULL,
.from_float_ref = NULL,
.vec_dot = NULL,
.vec_dot_type = GGML_TYPE_Q8_0,
.nrows = 1,
.ncols = 8,
.interleave_blcksize = 8,
.gemv = ggml_gemv_q4_0_8x8_q8_0,
.gemm = ggml_gemm_q4_0_8x8_q8_0,
}
@@ -3115,7 +3115,7 @@ size_t ggml_nbytes_pad(const struct ggml_tensor * tensor) {
return GGML_PAD(ggml_nbytes(tensor), GGML_MEM_ALIGN);
}
GGML_CALL int ggml_blck_size(enum ggml_type type) {
GGML_CALL int64_t ggml_blck_size(enum ggml_type type) {
return type_traits[type].blck_size;
}
@@ -12192,15 +12192,14 @@ static void ggml_compute_forward_mul_mat(
const enum ggml_type type = src0->type;
enum ggml_type const vec_dot_type = type_traits[type].vec_dot_type;
ggml_from_float_t const from_float_to_vec_dot = type_traits[vec_dot_type].from_float;
int64_t const vec_dot_num_rows = type_traits[type].nrows;
int64_t const matmul_num_cols = type_traits[type].ncols;
int64_t const interleave_blcksize = type_traits[type].interleave_blcksize;
ggml_from_float_to_mat_t const from_float_to_mat
= type_traits[vec_dot_type].from_float_to_mat;
ggml_gemv_t const gemv = type_traits[type].gemv;
ggml_gemm_t const gemm = type_traits[type].gemm;
enum ggml_type const vec_dot_type = type_traits[type].vec_dot_type;
ggml_from_float_t const from_float = type_traits[vec_dot_type].from_float;
ggml_from_float_to_mat_t const from_float_to_mat = type_traits[vec_dot_type].from_float_to_mat;
int64_t const vec_dot_num_rows = type_traits[type].nrows;
int64_t const matmul_num_cols = type_traits[type].ncols;
int64_t const blck_size_interleave = type_traits[type].blck_size_interleave;
ggml_gemv_t const gemv = type_traits[type].gemv;
ggml_gemm_t const gemm = type_traits[type].gemm;
GGML_ASSERT(ne0 == ne01);
GGML_ASSERT(ne1 == ne11);
@@ -12264,14 +12263,14 @@ UseGgmlGemm1:;
for (int64_t i11 = ith * 4; i11 < ne11 - ne11 % 4; i11 += nth * 4) {
from_float_to_mat((float *)((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11),
(void *) (wdata + i13*nbw3 + i12*nbw2 + i11*nbw1),
4, ne10, interleave_blcksize);
4, ne10, blck_size_interleave);
}
i11_processed = ne11 - ne11 % 4;
}
for (int64_t i11 = i11_processed + ith; i11 < ne11; i11 += nth) {
from_float_to_vec_dot((float *)((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11),
(void *) (wdata + i13*nbw3 + i12*nbw2 + i11*nbw1),
ne10);
from_float((float *)((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11),
(void *) (wdata + i13*nbw3 + i12*nbw2 + i11*nbw1),
ne10);
}
}
}
@@ -12355,7 +12354,7 @@ UseGgmlGemm2:;
int64_t src0_start = (ith * ne01) / nth;
int64_t src0_end = ((ith + 1) * ne01) / nth;
src0_start = (src0_start % matmul_num_cols) ? src0_start + matmul_num_cols - (src0_start % matmul_num_cols): src0_start;
src0_end = (src0_end % matmul_num_cols) ? src0_end + matmul_num_cols - (src0_end % matmul_num_cols): src0_end;
src0_end = (src0_end % matmul_num_cols) ? src0_end + matmul_num_cols - (src0_end % matmul_num_cols): src0_end;
if (src0_start >= src0_end) return;
// If there are more than three rows in src1, use gemm; otherwise, use gemv.
@@ -12413,11 +12412,11 @@ static void ggml_compute_forward_mul_mat_id(
const bool src1_cont = ggml_is_contiguous(src1);
ggml_vec_dot_t const vec_dot = type_traits[type].vec_dot;
enum ggml_type const vec_dot_type = type_traits[type].vec_dot_type;
ggml_from_float_t const from_float_to_vec_dot = type_traits[vec_dot_type].from_float;
int64_t const matmul_num_cols = type_traits[type].ncols;
ggml_gemv_t const gemv = type_traits[type].gemv;
ggml_vec_dot_t const vec_dot = type_traits[type].vec_dot;
enum ggml_type const vec_dot_type = type_traits[type].vec_dot_type;
ggml_from_float_t const from_float = type_traits[vec_dot_type].from_float;
int64_t const matmul_num_cols = type_traits[type].ncols;
ggml_gemv_t const gemv = type_traits[type].gemv;
// we don't support permuted src0 or src1
GGML_ASSERT(nb00 == ggml_type_size(type));
@@ -12458,9 +12457,9 @@ static void ggml_compute_forward_mul_mat_id(
for (int64_t i13 = 0; i13 < ne13; ++i13) {
for (int64_t i12 = 0; i12 < ne12; ++i12) {
for (int64_t i11 = ith; i11 < ne11; i11 += nth) {
from_float_to_vec_dot((float *)((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11),
(void *) (wdata + i13*nbw3 + i12*nbw2 + i11*nbw1),
ne10);
from_float((float *)((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11),
(void *) (wdata + i13*nbw3 + i12*nbw2 + i11*nbw1),
ne10);
}
}
}
@@ -21063,8 +21062,8 @@ struct gguf_context * gguf_init_from_file(const char * fname, struct gguf_init_p
(int64_t) info->ne[3];
if (ne % ggml_blck_size(info->type) != 0) {
fprintf(stderr, "%s: tensor '%s' of type %d (%s) number of elements (%" PRId64 ") is not a multiple of block size (%d)\n",
__func__, info->name.data, (int)info->type, ggml_type_name(info->type), ne, ggml_blck_size(info->type));
fprintf(stderr, "%s: tensor '%s' of type %d (%s) number of elements (%" PRId64 ") is not a multiple of block size (%" PRId64 ")\n",
__func__, info->name.data, (int) info->type, ggml_type_name(info->type), ne, ggml_blck_size(info->type));
fclose(file);
gguf_free(ctx);
return NULL;
+2 -9
View File
@@ -5883,13 +5883,6 @@ static bool llm_load_tensors(
auto & hparams = model.hparams;
#ifdef GGML_USE_SYCL
// disable MoE with SYCL until mul_mat_id is updated
if (hparams.n_expert > 0) {
n_gpu_layers = 0;
}
#endif
model.split_mode = split_mode;
model.main_gpu = main_gpu;
model.n_gpu_layers = n_gpu_layers;
@@ -8134,7 +8127,7 @@ static struct ggml_tensor * llm_build_kqv(
struct ggml_tensor * kq = ggml_mul_mat(ctx, k, q);
cb(kq, "kq", il);
if (model.arch == LLM_ARCH_PHI2 || model.arch == LLM_ARCH_PHI3 || model.arch == LLM_ARCH_GPTNEOX) {
if (model.arch == LLM_ARCH_PHI2 || model.arch == LLM_ARCH_PHI3 || model.arch == LLM_ARCH_GPTNEOX || model.arch == LLM_ARCH_QWEN2) {
// for this arch, we need to perform the KQ multiplication with F32 precision, otherwise we get NaNs
// ref: https://github.com/ggerganov/llama.cpp/pull/4490#issuecomment-1859055847
ggml_mul_mat_set_prec(kq, GGML_PREC_F32);
@@ -21151,7 +21144,7 @@ int32_t llama_token_to_piece(const struct llama_model * model, llama_token token
size--;
}
if (length < (int32_t)size) {
return (int32_t) -size;
return -(int32_t) size;
}
memcpy(buf, token, size);
return (int32_t) size;
+2 -2
View File
@@ -14,7 +14,7 @@
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wdouble-promotion"
// ggml.c::quantize_row_q4_0_reference
// ggml.c::quantize_row_q4_0_ref
inline static uint8_t round_orig(float v0) { return ((int8_t) (round(v0))) + 8; }
// ggml.c::ggml_silu_f32
@@ -24,7 +24,7 @@ inline static float silu_orig(float x) {
#pragma GCC diagnostic pop
// ggml.c::quantize_row_q4_0_reference
// ggml.c::quantize_row_q4_0_ref
inline static uint8_t round_float(float v0) { return (int8_t)roundf(v0) + 8; }
// ggml.c::ggml_silu_f32
+1 -1
View File
@@ -60,7 +60,7 @@ static float reference_quantization_error(ggml_type_traits_t & qfns, size_t test
qfns.from_float(test_data, tmp_q.data(), test_size);
qfns.to_float(tmp_q.data(), tmp_out.data(), test_size);
qfns.from_float_reference(test_data, tmp_q.data(), test_size);
qfns.from_float_ref(test_data, tmp_q.data(), test_size);
qfns.to_float(tmp_q.data(), tmp_out_ref.data(), test_size);
return array_rmse(tmp_out.data(), tmp_out_ref.data(), test_size);
+1 -1
View File
@@ -285,7 +285,7 @@ int main(int argc, char * argv[]) {
for (size_t size : params.test_sizes) {
printf(" %zu values (%.2f MB)\n", size, 4*size/(float)(1024*1024));
auto quantize_fn = [&](void) -> float {
qfns.from_float_reference(test_data1, test_q1, size);
qfns.from_float_ref(test_data1, test_q1, size);
return test_q1[0];
};
size_t quantized_size = ggml_row_size(type, size);