forked from wylab/llama.cpp
Compare commits
18 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 4e24cffd8c | |||
| 6af51c0d96 | |||
| f53226245f | |||
| c3ebcfa148 | |||
| 8a4441ea1a | |||
| 5aefbce27a | |||
| 71c1121d11 | |||
| 370b1f7e7a | |||
| b549a1bbef | |||
| 368645698a | |||
| b078c619aa | |||
| 808aba3916 | |||
| a977c11544 | |||
| 9a55ffe6fb | |||
| 7a221b672e | |||
| 278d0e1846 | |||
| dd07a123b7 | |||
| f4444d992c |
+1
-1
@@ -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
|
||||
|
||||
@@ -61,6 +61,11 @@ llama-batched-swift
|
||||
out/
|
||||
tmp/
|
||||
|
||||
# Deprecated
|
||||
|
||||
/main
|
||||
/server
|
||||
|
||||
# CI
|
||||
|
||||
!.github/workflows/*.yml
|
||||
|
||||
@@ -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, $<)
|
||||
|
||||
@@ -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):
|
||||
|
||||
@@ -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__,
|
||||
|
||||
@@ -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],
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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);
|
||||
}
|
||||
|
||||
@@ -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, ¶ms, &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 = [¶ms, &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;
|
||||
|
||||
@@ -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});
|
||||
}
|
||||
|
||||
|
||||
@@ -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
@@ -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
@@ -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;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -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
|
||||
}
|
||||
|
||||
@@ -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];
|
||||
|
||||
@@ -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;
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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
File diff suppressed because it is too large
Load Diff
@@ -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;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -5,7 +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,
|
||||
|
||||
@@ -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
@@ -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
@@ -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
@@ -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:
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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
@@ -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));
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
@@ -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);
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
@@ -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
@@ -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
@@ -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;
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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);
|
||||
|
||||
@@ -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);
|
||||
|
||||
Reference in New Issue
Block a user