From cde383323959544abe10a4d79e1d3e1ee479933c Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Mon, 3 Feb 2025 23:49:27 +0000 Subject: [PATCH 01/50] `tool-call`: allow `--chat-template chatml` w/ `--jinja`, default to chatml upon parsing issue, avoid double bos (#11616) * tool-call: allow `--jinja --chat-template chatml` * fix double bos issue (drop bos/eos tokens from jinja template) * add missing try catch around jinja parsing to default to chatml * Simplify default chatml logic --- common/common.cpp | 58 +++++++---- .../server/tests/unit/test_chat_completion.py | 7 +- examples/server/tests/unit/test_tool_call.py | 98 +++++++++++++++---- 3 files changed, 124 insertions(+), 39 deletions(-) diff --git a/common/common.cpp b/common/common.cpp index 6c81d18f9..edba6fb4b 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -1869,11 +1869,19 @@ std::string common_chat_format_example(const common_chat_template & tmpl, bool u return common_chat_apply_template(tmpl, msgs, true, use_jinja); } +#define CHATML_TEMPLATE_SRC \ + "{%- for message in messages -%}\n" \ + " {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' -}}\n" \ + "{%- endfor -%}\n" \ + "{%- if add_generation_prompt -%}\n" \ + " {{- '<|im_start|>assistant\n' -}}\n" \ + "{%- endif -%}" + common_chat_templates common_chat_templates_from_model(const struct llama_model * model, const std::string & chat_template_override) { - auto vocab = llama_model_get_vocab(model); - std::string default_template_src = chat_template_override; - std::string template_tool_use_src = chat_template_override; + std::string default_template_src; + std::string template_tool_use_src; + bool has_explicit_template = !chat_template_override.empty(); if (chat_template_override.empty()) { auto str = llama_model_chat_template(model, /* name */ nullptr); @@ -1886,21 +1894,21 @@ common_chat_templates common_chat_templates_from_model(const struct llama_model template_tool_use_src = str; has_explicit_template = true; } + } else { + default_template_src = chat_template_override; } if (default_template_src.empty() || default_template_src == "chatml") { if (!template_tool_use_src.empty()) { default_template_src = template_tool_use_src; } else { - default_template_src = R"( - {%- for message in messages -%} - {{- "<|im_start|>" + message.role + "\n" + message.content + "<|im_end|>\n" -}} - {%- endfor -%} - {%- if add_generation_prompt -%} - {{- "<|im_start|>assistant\n" -}} - {%- endif -%} - )"; + default_template_src = CHATML_TEMPLATE_SRC; } } + std::string token_bos; + std::string token_eos; + // TODO: update logic that adds BOS and EOS tokens to the tokenized prompt, in favour of the template. +#if 0 + auto vocab = llama_model_get_vocab(model); const auto get_token = [&](llama_token token, const char * name, const char * jinja_variable_name) { if (token == LLAMA_TOKEN_NULL) { if (default_template_src.find(jinja_variable_name) != std::string::npos @@ -1912,15 +1920,25 @@ common_chat_templates common_chat_templates_from_model(const struct llama_model return common_token_to_piece(vocab, token, true); } }; - auto token_bos = get_token(llama_vocab_bos(vocab), "BOS", "bos_token"); - auto token_eos = get_token(llama_vocab_eos(vocab), "EOS", "eos_token"); - return { - has_explicit_template, - std::make_unique(default_template_src, token_bos, token_eos), - template_tool_use_src.empty() - ? nullptr - : std::make_unique(template_tool_use_src, token_bos, token_eos) - }; + token_bos = get_token(llama_vocab_bos(vocab), "BOS", "bos_token"); + token_eos = get_token(llama_vocab_eos(vocab), "EOS", "eos_token"); +#endif + try { + return { + has_explicit_template, + std::make_unique(default_template_src, token_bos, token_eos), + template_tool_use_src.empty() + ? nullptr + : std::make_unique(template_tool_use_src, token_bos, token_eos), + }; + } catch (const std::exception & e) { + LOG_ERR("%s: failed to parse chat template: %s\n", __func__, e.what()); + return { + has_explicit_template, + std::make_unique(CHATML_TEMPLATE_SRC, token_bos, token_eos), + nullptr, + }; + } } // diff --git a/examples/server/tests/unit/test_chat_completion.py b/examples/server/tests/unit/test_chat_completion.py index f5d8b0572..f23d5cff4 100644 --- a/examples/server/tests/unit/test_chat_completion.py +++ b/examples/server/tests/unit/test_chat_completion.py @@ -13,9 +13,12 @@ def create_server(): @pytest.mark.parametrize( "model,system_prompt,user_prompt,max_tokens,re_content,n_prompt,n_predicted,finish_reason,jinja,chat_template", [ + (None, "Book", "Hey", 8, "But she couldn't", 69, 8, "length", False, None), + (None, "Book", "Hey", 8, "But she couldn't", 69, 8, "length", True, None), (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", False, None), - (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", True, None), - (None, "Book", "What is the best book", 8, "^ blue", 23, 8, "length", True, "This is not a chat template, it is"), + (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", True, None), + (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", True, 'chatml'), + (None, "Book", "What is the best book", 8, "^ blue", 23, 8, "length", True, "This is not a chat template, it is"), ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", False, None), ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", True, None), ] diff --git a/examples/server/tests/unit/test_tool_call.py b/examples/server/tests/unit/test_tool_call.py index e6ed9c9be..62a48a0d9 100644 --- a/examples/server/tests/unit/test_tool_call.py +++ b/examples/server/tests/unit/test_tool_call.py @@ -67,8 +67,8 @@ WEATHER_TOOL = { def do_test_completion_with_required_tool_tiny(template_name: str, tool: dict, argument_key: str | None): - n_predict = 512 global server + n_predict = 512 # server = ServerPreset.stories15m_moe() server.jinja = True server.n_predict = n_predict @@ -139,29 +139,49 @@ def test_completion_with_required_tool_tiny_slow(template_name: str, tool: dict, @pytest.mark.parametrize("tool,argument_key,hf_repo,template_override", [ (TEST_TOOL, "success", "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), (PYTHON_TOOL, "code", "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), + (PYTHON_TOOL, "code", "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"), + + # Note: gemma-2-2b-it knows itself as "model", not "assistant", so we don't test the ill-suited chatml on it. (TEST_TOOL, "success", "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), (PYTHON_TOOL, "code", "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), + (TEST_TOOL, "success", "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None), (PYTHON_TOOL, "code", "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None), + (PYTHON_TOOL, "code", "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", "chatml"), + (TEST_TOOL, "success", "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None), (PYTHON_TOOL, "code", "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None), + (PYTHON_TOOL, "code", "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", "chatml"), + (TEST_TOOL, "success", "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), (PYTHON_TOOL, "code", "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), + (PYTHON_TOOL, "code", "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", "chatml"), + (TEST_TOOL, "success", "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")), (PYTHON_TOOL, "code", "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")), + (PYTHON_TOOL, "code", "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", "chatml"), + (TEST_TOOL, "success", "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None), (PYTHON_TOOL, "code", "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None), - (TEST_TOOL, "success", "bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai/functionary-medium-v3.2", None)), - (PYTHON_TOOL, "code", "bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai/functionary-medium-v3.2", None)), + (PYTHON_TOOL, "code", "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"), + + (TEST_TOOL, "success", "bartowski/functionary-small-v3.2-GGUF:Q4_K_M", ("meetkai/functionary-medium-v3.2", None)), + (PYTHON_TOOL, "code", "bartowski/functionary-small-v3.2-GGUF:Q4_K_M", ("meetkai/functionary-medium-v3.2", None)), + (PYTHON_TOOL, "code", "bartowski/functionary-small-v3.2-GGUF:Q4_K_M", "chatml"), + (TEST_TOOL, "success", "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), (PYTHON_TOOL, "code", "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), + (PYTHON_TOOL, "code", "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", "chatml"), + (TEST_TOOL, "success", "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), (PYTHON_TOOL, "code", "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), + (PYTHON_TOOL, "code", "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", "chatml"), # TODO: fix these # (TEST_TOOL, "success", "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None), # (PYTHON_TOOL, "code", "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None), ]) -def test_completion_with_required_tool_real_model(tool: dict, argument_key: str | None, hf_repo: str, template_override: Tuple[str, str | None] | None): +def test_completion_with_required_tool_real_model(tool: dict, argument_key: str | None, hf_repo: str, template_override: str | Tuple[str, str | None] | None): + global server n_predict = 512 server.n_slots = 1 server.jinja = True @@ -169,10 +189,12 @@ def test_completion_with_required_tool_real_model(tool: dict, argument_key: str server.n_predict = n_predict server.model_hf_repo = hf_repo server.model_hf_file = None - if template_override: + if isinstance(template_override, tuple): (template_hf_repo, template_variant) = template_override server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja" assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template." + elif isinstance(template_override, str): + server.chat_template = template_override server.start(timeout_seconds=TIMEOUT_SERVER_START) res = server.make_request("POST", "/chat/completions", data={ "max_tokens": n_predict, @@ -252,18 +274,36 @@ def test_completion_without_tool_call_slow(template_name: str, n_predict: int, t @pytest.mark.slow @pytest.mark.parametrize("hf_repo,template_override", [ ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), - ("bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), + ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"), + ("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None), + ("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", "chatml"), + ("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None), - ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), - ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")), + ("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", "chatml"), + + ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), + ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", "chatml"), + + ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")), + ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", "chatml"), + ("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None), + ("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"), + ("bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai/functionary-medium-v3.2", None)), + ("bartowski/functionary-small-v3.2-GGUF:Q8_0", "chatml"), + ("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), + ("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", "chatml"), + + # Note: gemma-2-2b-it knows itself as "model", not "assistant", so we don't test the ill-suited chatml on it. + ("bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), + # ("bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), # ("bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None), ]) -def test_weather_tool_call(hf_repo: str, template_override: Tuple[str, str | None] | None): +def test_weather_tool_call(hf_repo: str, template_override: str | Tuple[str, str | None] | None): global server server.n_slots = 1 server.jinja = True @@ -271,10 +311,12 @@ def test_weather_tool_call(hf_repo: str, template_override: Tuple[str, str | Non server.n_predict = 512 server.model_hf_repo = hf_repo server.model_hf_file = None - if template_override: + if isinstance(template_override, tuple): (template_hf_repo, template_variant) = template_override server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja" assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template." + elif isinstance(template_override, str): + server.chat_template = template_override server.start(timeout_seconds=TIMEOUT_SERVER_START) res = server.make_request("POST", "/chat/completions", data={ "max_tokens": 256, @@ -298,19 +340,39 @@ def test_weather_tool_call(hf_repo: str, template_override: Tuple[str, str | Non @pytest.mark.slow @pytest.mark.parametrize("expected_arguments_override,hf_repo,template_override", [ - (None, "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), (None, "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", None), + (None, "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M", "chatml"), + (None, "bartowski/functionary-small-v3.2-GGUF:Q8_0", ("meetkai-functionary-medium-v3.2", None)), - ('{"code":"print("}', "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), - (None, "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama-Llama-3.2-3B-Instruct", None)), + (None, "bartowski/functionary-small-v3.2-GGUF:Q8_0", "chatml"), + + (None, "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), + ('{"code":"print("}', "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"), + + ('{"code":"print("}', "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama-Llama-3.2-3B-Instruct", None)), + (None, "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", "chatml"), + ('{"code":"print("}', "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", ("meta-llama-Llama-3.2-3B-Instruct", None)), + ('{"code":"print("}', "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M", "chatml"), + (None, "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", None), - (None, "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), - (None, "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch-Hermes-3-Llama-3.1-8B", "tool_use")), + (None, "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M", "chatml"), + + (None, "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")), + (None, "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", "chatml"), + + (None, "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", ("NousResearch-Hermes-3-Llama-3.1-8B", "tool_use")), + (None, "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M", "chatml"), + (None, "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None), + (None, "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"), + + # Note: gemma-2-2b-it knows itself as "model", not "assistant", so we don't test the ill-suited chatml on it. + (None, "bartowski/gemma-2-2b-it-GGUF:Q4_K_M", None), + # (None, "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None), ]) -def test_hello_world_tool_call(expected_arguments_override: str | None, hf_repo: str, template_override: Tuple[str, str | None] | None): +def test_hello_world_tool_call(expected_arguments_override: str | None, hf_repo: str, template_override: str | Tuple[str, str | None] | None): global server server.n_slots = 1 server.jinja = True @@ -318,10 +380,12 @@ def test_hello_world_tool_call(expected_arguments_override: str | None, hf_repo: server.n_predict = 128 server.model_hf_repo = hf_repo server.model_hf_file = None - if template_override: + if isinstance(template_override, tuple): (template_hf_repo, template_variant) = template_override server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja" assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template." + elif isinstance(template_override, str): + server.chat_template = template_override server.start(timeout_seconds=TIMEOUT_SERVER_START) res = server.make_request("POST", "/chat/completions", data={ "max_tokens": 256, From b34aedd558dcf67f7e96b0260d6b554877bd3499 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Tue, 4 Feb 2025 09:30:42 +0200 Subject: [PATCH 02/50] ci : do not stale-close roadmap issues --- .github/workflows/close-issue.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/close-issue.yml b/.github/workflows/close-issue.yml index f63860d14..276a217d4 100644 --- a/.github/workflows/close-issue.yml +++ b/.github/workflows/close-issue.yml @@ -17,7 +17,7 @@ jobs: steps: - uses: actions/stale@v5 with: - exempt-issue-labels: "refactor,help wanted,good first issue,research,bug" + exempt-issue-labels: "refactor,help wanted,good first issue,research,bug,roadmap" days-before-issue-stale: 30 days-before-issue-close: 14 stale-issue-label: "stale" From 8f8290ada96194138bb3d4dc6958323bc728ef83 Mon Sep 17 00:00:00 2001 From: Christian Kastner Date: Tue, 4 Feb 2025 00:17:15 +0100 Subject: [PATCH 03/50] cmake: Add ability to pass in GGML_BUILD_NUMBER (ggml/1096) This makes git as a dependency optional, and is useful in the case where ggml is built not from git, but from a tarball, or a distribution source package. This conditional also affects GGML_BUILD_COMMIT. Nothing seems to be using it, though, so there doesn't seem much value factor it out, or even require it. --- ggml/CMakeLists.txt | 29 ++++++++++++++++------------- 1 file changed, 16 insertions(+), 13 deletions(-) diff --git a/ggml/CMakeLists.txt b/ggml/CMakeLists.txt index 7c069e420..75b5ea3b4 100644 --- a/ggml/CMakeLists.txt +++ b/ggml/CMakeLists.txt @@ -274,22 +274,25 @@ endif() # Generate version info based on git commit. -find_program(GIT_EXE NAMES git git.exe REQUIRED NO_CMAKE_FIND_ROOT_PATH) -execute_process(COMMAND ${GIT_EXE} rev-list --count HEAD - WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} - OUTPUT_VARIABLE GGML_BUILD_NUMBER - OUTPUT_STRIP_TRAILING_WHITESPACE -) +if(NOT DEFINED GGML_BUILD_NUMBER) + find_program(GIT_EXE NAMES git git.exe REQUIRED NO_CMAKE_FIND_ROOT_PATH) + execute_process(COMMAND ${GIT_EXE} rev-list --count HEAD + WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} + OUTPUT_VARIABLE GGML_BUILD_NUMBER + OUTPUT_STRIP_TRAILING_WHITESPACE + ) -if(GGML_BUILD_NUMBER EQUAL 1) - message(WARNING "GGML build version fixed at 1 likely due to a shallow clone.") + if(GGML_BUILD_NUMBER EQUAL 1) + message(WARNING "GGML build version fixed at 1 likely due to a shallow clone.") + endif() + + execute_process(COMMAND ${GIT_EXE} rev-parse --short HEAD + WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} + OUTPUT_VARIABLE GGML_BUILD_COMMIT + OUTPUT_STRIP_TRAILING_WHITESPACE + ) endif() -execute_process(COMMAND ${GIT_EXE} rev-parse --short HEAD - WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR} - OUTPUT_VARIABLE GGML_BUILD_COMMIT - OUTPUT_STRIP_TRAILING_WHITESPACE -) # Capture variables prefixed with GGML_. From 7c9e0ca52039530b6ddf16015cf1263491e92d75 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Tue, 4 Feb 2025 12:59:21 +0200 Subject: [PATCH 04/50] sync : ggml --- scripts/sync-ggml.last | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/sync-ggml.last b/scripts/sync-ggml.last index 34f1cbf69..26a105f64 100644 --- a/scripts/sync-ggml.last +++ b/scripts/sync-ggml.last @@ -1 +1 @@ -498e0ecd2c4f9379439fd413805af10e8e9ff349 +694244a6e40dc255f6bb4376fb17431c06633e6c From 387a1598ca094a4755303ec964c3b09b4c5c300e Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Tue, 4 Feb 2025 13:04:10 +0200 Subject: [PATCH 05/50] authors : update --- AUTHORS | 83 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 82 insertions(+), 1 deletion(-) diff --git a/AUTHORS b/AUTHORS index 2eb60806a..6796b2941 100644 --- a/AUTHORS +++ b/AUTHORS @@ -1,4 +1,4 @@ -# date: Thu Nov 28 20:46:15 EET 2024 +# date: Tue Feb 4 13:04:05 EET 2025 # this file is auto-generated by scripts/gen-authors.sh 0cc4m @@ -20,6 +20,8 @@ Adithya Balaji AdithyanI Adrian Adrian Hesketh +Adrien Gallouët +Adrien Gallouët Ahmad Tameem <113388789+Tameem-10xE@users.noreply.github.com> Ahmet Zeer AidanBeltonS <87009434+AidanBeltonS@users.noreply.github.com> @@ -55,6 +57,7 @@ Ananta Bastola Anas Ahouzi <112881240+aahouzi@users.noreply.github.com> András Salamon Andreas (Andi) Kunar +Andreas Kieslinger <47689530+aendk@users.noreply.github.com> Andrei Andrew Canis Andrew Downing @@ -91,13 +94,17 @@ Ben Siraphob Ben Williams Benjamin Findley <39356821+Kartoffelsaft@users.noreply.github.com> Benjamin Lecaillon <84293038+blecaillon@users.noreply.github.com> +Benson Wong Bernat Vadell +Bernhard M. Wiedemann Bert Wagner +Billel Mokeddem Bingan <70050083+binganao@users.noreply.github.com> Bjarke Viksøe <164612031+bviksoe@users.noreply.github.com> Bodo Graumann Bono Lv Borislav Stanimirov +Borislav Stanimirov Branden Butler Brandon Squizzato <35474886+bsquizz@users.noreply.github.com> Brian @@ -117,6 +124,7 @@ Casey Primozic Casey Primozic CausalLM <148736309+CausalLM@users.noreply.github.com> Cebtenzzre +CentricStorm Chad Brewbaker Changyeon Kim Chao Jiang @@ -131,12 +139,15 @@ Chris Kuehl Christian Demsar Christian Demsar Christian Falch <875252+chrfalch@users.noreply.github.com> +Christian Kastner Christian Kögler Christian Köhnenkamp Christian Zhou-Zheng <59622928+christianazinn@users.noreply.github.com> +Christopher Nielsen <62156882+mascguy@users.noreply.github.com> Clark Saben <76020733+csaben@users.noreply.github.com> Clint Herron Conrad Kramer +Corentin REGAL CrispStrobe <154636388+CrispStrobe@users.noreply.github.com> Csaba Kecskemeti Cuong Trinh Manh @@ -176,6 +187,7 @@ Dibakar Gope Didzis Gosko Diego Devesa Diogo Teles Sant'Anna +Djip007 <3705339+Djip007@users.noreply.github.com> Djip007 Don Mahurin DooWoong Lee (David) @@ -193,6 +205,7 @@ Edward Taylor Elaine Elbios <141279586+Elbios@users.noreply.github.com> Elton Kola +Emreerdog <34742675+Emreerdog@users.noreply.github.com> Engininja2 <139037756+Engininja2@users.noreply.github.com> Equim Eric Curtin @@ -233,6 +246,7 @@ Fred Douglas <43351173+fredlas@users.noreply.github.com> Frederik Vogel Gabe Goodhart Gabe Goodhart +Gaetan Bisson GainLee Galunid Gary Linscott @@ -249,6 +263,7 @@ Guillaume "Vermeille" Sanchez Guillaume Wenzek Guoliang Hua <32868157+nbcsm@users.noreply.github.com> Guoteng <32697156+SolenoidWGT@users.noreply.github.com> +Guspan Tanadi <36249910+guspan-tanadi@users.noreply.github.com> Gustavo Rocha Dias <91472747+gustrd@users.noreply.github.com> Haggai Nuchi Halalaluyafail3 <55773281+Halalaluyafail3@users.noreply.github.com> @@ -259,11 +274,13 @@ Haoxiang Fei Harald Fernengel Hatsune Miku <129688334+at8u@users.noreply.github.com> HatsuneMikuUwU33 <173229399+HatsuneMikuUwU33@users.noreply.github.com> +Haus1 Henk Poley Henri Vasserman Henrik Forstén Herman Semenov Hesen Peng +HimariO Hoang Nguyen Hong Bo PENG Hongyu Ouyang <96765450+casavaca@users.noreply.github.com> @@ -280,6 +297,7 @@ Icecream95 Ido S IgnacioFDM Igor Okulist +Ihar Hrachyshka Ikko Eltociear Ashimine Ilya Kurdyukov <59548320+ilyakurdyukov@users.noreply.github.com> Ionoclast Laboratories @@ -289,12 +307,14 @@ Ivan Ivan Filipov <159561759+vanaka11@users.noreply.github.com> Ivan Komarov Ivan Stepanov +JFLFY2255 JH23X <165871467+JH23X@users.noreply.github.com> Jack Mousseau Jack Mousseau JackJollimore <130917767+JackJollimore@users.noreply.github.com> Jaeden Amero Jaemin Son +Jafar Uruç Jag Chadha Jakub N James A Capozzoli <157492257+jac-jim@users.noreply.github.com> @@ -315,6 +335,7 @@ Jeffrey Morgan Jeffrey Quesnelle Jeroen Mostert Jesse Jojo Johnson +Jett Janiak Jeximo Jhen-Jie Hong Jiahao Li @@ -343,6 +364,7 @@ Josh Ramer Joyce Juan Calderon-Perez <835733+gaby@users.noreply.github.com> Judd +Juk Armstrong <69222624+jukofyork@users.noreply.github.com> Julius Arkenberg Jun Hee Yoo Jun Jie <71215065+junnjiee16@users.noreply.github.com> @@ -357,6 +379,7 @@ Justine Tunney Juuso Alasuutari KASR Kamil Tomšík +Karol Kontny <82021046+kkontny@users.noreply.github.com> Karsten Weiss Karthick Karthik Kumar Viswanathan <195178+guilt@users.noreply.github.com> @@ -376,6 +399,7 @@ Kolen Cheung Konstantin Herud Konstantin Zhuravlyov Kunshang Ji +Kyle Bruene Kyle Liang Kyle Mistele Kylin <56434533+KyL0N@users.noreply.github.com> @@ -394,6 +418,7 @@ Liu Jia LoganDark Loïc Carrère LostRuins <39025047+LostRuins@users.noreply.github.com> +LostRuins Concedo <39025047+LostRuins@users.noreply.github.com> Luciano Luo Tian Lyle Dean @@ -423,6 +448,7 @@ MasterYi1024 <39848311+MasterYi1024@users.noreply.github.com> Mateusz Charytoniuk Matheus C. França Matheus Gabriel Alves Silva +Mathieu Baudier Mathieu Geli Mathieu Nayrolles Mathijs Henquet @@ -444,6 +470,7 @@ Meng, Hengyu Mengqing Cao Merrick Christensen Michael Coppola +Michael Engel Michael Francis Michael Hueschen Michael Kesper @@ -452,7 +479,9 @@ Michael Podvitskiy Michael Potter Michael de Gans Michaël de Vries +Michał Moskal Michał Tuszyński +Michelle Tan <41475767+MichelleTanPY@users.noreply.github.com> Mihai Mike Mikko Juola @@ -477,6 +506,7 @@ Neo Zhang <14088817+arthw@users.noreply.github.com> Neo Zhang Neo Zhang Jianyu Neuman Vong +NeverLucky <92274250+nvrxq@users.noreply.github.com> Nexes the Old <124105151+Nexesenex@users.noreply.github.com> Nexesenex <124105151+Nexesenex@users.noreply.github.com> Niall Coates <1349685+Niall-@users.noreply.github.com> @@ -484,11 +514,15 @@ Nicholai Tukanov Nico Bosshard Nicolai Weitkemper Nicolás Pérez +Nicolò Scipione Nigel Bosch +Nikita Sarychev <42014488+sARY77@users.noreply.github.com> Niklas Korz NikolaiLyssogor <59844691+NikolaiLyssogor@users.noreply.github.com> +Nikolaos Pothitos Nikolas <127742645+nneubacher@users.noreply.github.com> Nindaleth +Nuno OSecret <135510162+OLSecret@users.noreply.github.com> Oleksandr Nikitin Oleksii Maryshchenko @@ -504,6 +538,7 @@ Pavel Zloi Pavol Rusnak Paweł Wodnicki <151604+32bitmicro@users.noreply.github.com> Pedro Cuenca +Peter Peter Sugihara Phil H <5756783+phiharri@users.noreply.github.com> Philip Taron @@ -529,9 +564,12 @@ Rand Xie Randall Fitzgerald Random Fly Reinforce-II +Rémy Oudompheng Ren Xuancheng Rene Leonhardt <65483435+reneleonhardt@users.noreply.github.com> +Reza Kakhki RhinoDevel +Riccardo Orlando Riceball LEE Rich Dougherty Richard Kiss @@ -544,6 +582,8 @@ Riley Stewart Rinne Rinne Robert Brisita <986796+rbrisita@users.noreply.github.com> +Robert Collins +Robert Ormandi <52251610+ormandi@users.noreply.github.com> Robert Sung-wook Shin Robey Holderith Robyn @@ -559,7 +599,9 @@ Roni Ronny Brendel Ronsor Rowan Hart +Ruan <47767371+ruanych@users.noreply.github.com> Ruchira Hasaranga +Rudi Servo Ruixin Huang <18860020911@163.com> Rune <43761327+Rune-AI@users.noreply.github.com> RunningLeon @@ -623,12 +665,14 @@ Steven Roussey Steward Garcia <57494570+FSSRepo@users.noreply.github.com> StrangeBytesDev <141275258+StrangeBytesDev@users.noreply.github.com> Suaj Carrot <72162667+SuajCarrot@users.noreply.github.com> +Sukriti Sharma SuperUserNameMan Sutou Kouhei Tai Duc Nguyen Taikono-Himazin Tameem <113388789+AhmadTameem@users.noreply.github.com> Tamotsu Takahashi +Tei Home Thái Hoàng Tâm <75922889+RoyalHeart@users.noreply.github.com> Thatcher Chamberlin Theia Vogel @@ -640,6 +684,7 @@ Tim Miller Tim Wang Timmy Knight Timothy Cronin <40186632+4imothy@users.noreply.github.com> +Ting Lou Ting Lou Ting Sun Tobias Lütke @@ -661,6 +706,7 @@ Uzo Nweke Vaibhav Srivastav Val Kharitonov Valentin Konovalov +Valentin Mamedov <45292985+Inf1delis@users.noreply.github.com> Valentyn Bezshapkin <61702053+valentynbez@users.noreply.github.com> Vali Malinoiu <0x4139@gmail.com> Victor Nogueira @@ -673,13 +719,17 @@ Vladimir Malyutin Vladimir Zorin VoidIsVoid <343750470@qq.com> Volodymyr Vitvitskyi <72226+signalpillar@users.noreply.github.com> +Wang Qin <37098874+wangqin0@users.noreply.github.com> +Wang Ran (汪然) WangHaoranRobin <56047610+WangHaoranRobin@users.noreply.github.com> Weird Constructor Welby Seely Wentai Zhang WillCorticesAI <150854901+WillCorticesAI@users.noreply.github.com> William Tambellini +William Tambellini Willy Tarreau +Woof Dog <197125663+woof-dog@users.noreply.github.com> Wouter <9594229+DifferentialityDevelopment@users.noreply.github.com> Wu Jian Ping Wu Jian Ping @@ -692,6 +742,7 @@ Xie Yanbo Xingchen Song(宋星辰) Xinpeng Dou <81913537+Dou-Git@users.noreply.github.com> Xuan Son Nguyen +Xuan-Son Nguyen Yaiko Yann Follet <131855179+YannFollet@users.noreply.github.com> Yaroslav @@ -702,7 +753,9 @@ Yoshi Suhara Yoshi Suhara Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Yueh-Po Peng <94939112+y10ab1@users.noreply.github.com> +Yüg Yui +Yun Dou Yuri Khrustalev Yusuf Kağan Hanoğlu Yuval Peled <31162840+Yuval-Peled@users.noreply.github.com> @@ -714,18 +767,23 @@ Zhang Peiyuan Zheng.Deng <32841220+dengzheng-cloud@users.noreply.github.com> Zhenwei Jin <109658203+kylo5aby@users.noreply.github.com> Zhiyuan Li +Zhiyuan Li ZhouYuChen Ziad Ben Hadj-Alouane Ziang Wu <97337387+ZiangWu-77@users.noreply.github.com> Zsapi a-n-n-a-l-e-e <150648636+a-n-n-a-l-e-e@users.noreply.github.com> +a3sh <38979186+A3shTnT@users.noreply.github.com> adel boussaken afrideva <95653597+afrideva@users.noreply.github.com> +ag2s20150909 <19373730+ag2s20150909@users.noreply.github.com> agray3 akawrykow <142945436+akawrykow@users.noreply.github.com> +alek3y <44779186+alek3y@users.noreply.github.com> alexpinel <93524949+alexpinel@users.noreply.github.com> alonfaraj alwqx +amd-dwang amd-lalithnc amritahs-ibm andrijdavid @@ -737,6 +795,7 @@ arch-btw <57669023+arch-btw@users.noreply.github.com> arcrank ardfork <134447697+ardfork@users.noreply.github.com> arlo-phoenix <140345165+arlo-phoenix@users.noreply.github.com> +aryantandon01 <80969509+aryantandon01@users.noreply.github.com> at8u <129688334+at8u@users.noreply.github.com> automaticcat awatuna <23447591+awatuna@users.noreply.github.com> @@ -751,12 +810,14 @@ bryanSwk <93190252+bryanSwk@users.noreply.github.com> bsilvereagle bssrdf byte-6174 <88070277+byte-6174@users.noreply.github.com> +cduk <19917266+cduk@users.noreply.github.com> cebtenzzre chaihahaha chiranko <96988916+chiranko@users.noreply.github.com> clibdev <52199778+clibdev@users.noreply.github.com> clyang cocktailpeanut <121128867+cocktailpeanut@users.noreply.github.com> +codezjx coezbek comex compilade <113953597+compilade@users.noreply.github.com> @@ -780,14 +841,17 @@ drbh ds5t5 <145942675+ds5t5@users.noreply.github.com> dylan eastriver +ebraminio ebraminio eiery <19350831+eiery@users.noreply.github.com> eric8607242 fairydreaming <166155368+fairydreaming@users.noreply.github.com> fengerhu1 <2748250768@qq.com> +fj-y-saito <85871716+fj-y-saito@users.noreply.github.com> fraxy-v <65565042+fraxy-v@users.noreply.github.com> github-actions[bot] gliptic +gn64 goerch grahameth <96447521+grahameth@users.noreply.github.com> gtygo @@ -812,10 +876,12 @@ icppWorld <124377669+icppWorld@users.noreply.github.com> igarnier intelmatt <61025942+intelmatt@users.noreply.github.com> iohub +issixx <46835150+issixx@users.noreply.github.com> jacobi petrucciani <8117202+jpetrucciani@users.noreply.github.com> jaime-m-p <167997752+jaime-m-p@users.noreply.github.com> jameswu2014 <545426914@qq.com> jdomke <28772296+jdomke@users.noreply.github.com> +jiahao su jiez <373447296@qq.com> jneem joecryptotoo <80373433+joecryptotoo@users.noreply.github.com> @@ -828,6 +894,7 @@ junchao-loongson <68935141+junchao-loongson@users.noreply.github.com> jwj7140 <32943891+jwj7140@users.noreply.github.com> k.h.lai kaizau +kallewoof kalomaze <66376113+kalomaze@users.noreply.github.com> kang katsu560 <118887472+katsu560@users.noreply.github.com> @@ -835,6 +902,7 @@ kchro3 <62481661+kchro3@users.noreply.github.com> khimaros kiltyj klosax <131523366+klosax@users.noreply.github.com> +krystiancha kunal-vaishnavi <115581922+kunal-vaishnavi@users.noreply.github.com> kunnis kuronekosaiko @@ -847,6 +915,8 @@ ldwang le.chang leejet leo-pony +lexasub +lhez limitedAtonement liuwei-git <14815172+liuwei-git@users.noreply.github.com> lon <114724657+longregen@users.noreply.github.com> @@ -855,10 +925,13 @@ ltoniazzi <61414566+ltoniazzi@users.noreply.github.com> luoyu-intel m3ndax maddes8cht <55592906+maddes8cht@users.noreply.github.com> +mahorozte <41834471+mahorozte@users.noreply.github.com> makomk manikbhandari maor-ps <154728172+maor-ps@users.noreply.github.com> +mashdragon <122402293+mashdragon@users.noreply.github.com> matiaslin <45382001+matiaslin@users.noreply.github.com> +matt23654 matteo mdrokz mgroeber9110 <45620825+mgroeber9110@users.noreply.github.com> @@ -868,6 +941,7 @@ mmyjona momonga <115213907+mmnga@users.noreply.github.com> momonga <146910567+mmngays@users.noreply.github.com> moritzbrantner <31051084+moritzbrantner@users.noreply.github.com> +musoles <135031143+musoles@users.noreply.github.com> mzcu nanahi <130121847+na-na-hi@users.noreply.github.com> ngc92 <7938269+ngc92@users.noreply.github.com> @@ -885,6 +959,7 @@ oobabooga <112222186+oobabooga@users.noreply.github.com> opparco ostix360 <55257054+ostix360@users.noreply.github.com> pculliton +peidaqi pengxin99 perserk piDack <104877312+piDack@users.noreply.github.com> @@ -892,10 +967,12 @@ pmysl postmasters pudepiedj qingfengfenga <41416092+qingfengfenga@users.noreply.github.com> +qingy1337 qouoq qunash rabidcopy rankaiyx +redbeard rhjdvsgsgks <26178113+rhjdvsgsgks@users.noreply.github.com> rhuddleston rimoliga <53384203+rimoliga@users.noreply.github.com> @@ -912,6 +989,7 @@ sjxx <63994076+ylsdamxssjxxdd@users.noreply.github.com> slaren <2141330+slaren@users.noreply.github.com> slaren snadampal <87143774+snadampal@users.noreply.github.com> +someone13574 <81528246+someone13574@users.noreply.github.com> standby24x7 staviq stduhpf @@ -931,6 +1009,7 @@ uint256_t uint256_t unbounded uvos +uvos valiray <133289098+valiray@users.noreply.github.com> vb vik @@ -951,6 +1030,7 @@ xaedes xctan xloem <0xloem@gmail.com> yangli2 +ymcki <84055651+ymcki@users.noreply.github.com> yuiseki yuri@FreeBSD zakkor @@ -963,4 +1043,5 @@ zrm 杨朱 · Kiki 源文雨 <41315874+fumiama@users.noreply.github.com> 蕭澧邦 <45505768+shou692199@users.noreply.github.com> +谢乃闻 Нияз Гарифзянов <112617865+garrnizon@users.noreply.github.com> From 534c46b53c23613628d72e93c63ea01ea4d1e2ac Mon Sep 17 00:00:00 2001 From: Jhen-Jie Hong Date: Tue, 4 Feb 2025 19:07:18 +0800 Subject: [PATCH 06/50] metal : use residency set for other platforms (#11648) --- ggml/src/ggml-metal/ggml-metal.m | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/ggml/src/ggml-metal/ggml-metal.m b/ggml/src/ggml-metal/ggml-metal.m index 76f8e4291..9605914ff 100644 --- a/ggml/src/ggml-metal/ggml-metal.m +++ b/ggml/src/ggml-metal/ggml-metal.m @@ -20,7 +20,10 @@ #define GGML_METAL_MAX_COMMAND_BUFFERS 8 // create residency sets only on macOS >= 15.0 -#if TARGET_OS_OSX && __MAC_OS_X_VERSION_MAX_ALLOWED >= 150000 +#if TARGET_OS_OSX && __MAC_OS_X_VERSION_MAX_ALLOWED >= 150000 || \ + TARGET_OS_IOS && __IPHONE_OS_VERSION_MAX_ALLOWED >= 180000 || \ + TARGET_OS_TV && __TV_OS_VERSION_MAX_ALLOWED >= 180000 || \ + TARGET_OS_VISION && __VISION_OS_VERSION_MAX_ALLOWED >= 200000 #define GGML_METAL_HAS_RESIDENCY_SETS 1 #endif @@ -1071,7 +1074,7 @@ static bool ggml_backend_metal_buffer_rset_init( } #if defined(GGML_METAL_HAS_RESIDENCY_SETS) - if (@available(macOS 15.0, *)) { + if (@available(macOS 15.0, iOS 18.0, tvOS 18.0, visionOS 2.0, *)) { MTLResidencySetDescriptor * desc = [[MTLResidencySetDescriptor alloc] init]; desc.label = @"ggml_backend_metal"; desc.initialCapacity = ctx->n_buffers; @@ -1106,7 +1109,7 @@ static bool ggml_backend_metal_buffer_rset_init( // rset free static void ggml_backend_metal_buffer_rset_free(struct ggml_backend_metal_buffer_context * ctx) { #if defined(GGML_METAL_HAS_RESIDENCY_SETS) - if (@available(macOS 15.0, *)) { + if (@available(macOS 15.0, iOS 18.0, tvOS 18.0, visionOS 2.0, *)) { if (ctx->rset) { [ctx->rset endResidency]; [ctx->rset removeAllAllocations]; From f117d84b48104992ba16961b35a96fa93efbb355 Mon Sep 17 00:00:00 2001 From: Jhen-Jie Hong Date: Tue, 4 Feb 2025 19:15:24 +0800 Subject: [PATCH 07/50] swift : fix llama-vocab api usage (#11645) * swiftui : fix vocab api usage * batched.swift : fix vocab api usage --- examples/batched.swift/Sources/main.swift | 15 ++++++++++----- .../llama.swiftui/llama.cpp.swift/LibLlama.swift | 12 +++++++----- 2 files changed, 17 insertions(+), 10 deletions(-) diff --git a/examples/batched.swift/Sources/main.swift b/examples/batched.swift/Sources/main.swift index 371917b2e..55c31166c 100644 --- a/examples/batched.swift/Sources/main.swift +++ b/examples/batched.swift/Sources/main.swift @@ -31,6 +31,11 @@ defer { llama_model_free(model) } +guard let vocab = llama_model_get_vocab(model) else { + print("Failed to get vocab") + exit(1) +} + var tokens = tokenize(text: prompt, add_bos: true) let n_kv_req = UInt32(tokens.count) + UInt32((n_len - Int(tokens.count)) * n_parallel) @@ -41,7 +46,7 @@ context_params.n_batch = UInt32(max(n_len, n_parallel)) context_params.n_threads = 8 context_params.n_threads_batch = 8 -let context = llama_new_context_with_model(model, context_params) +let context = llama_init_from_model(model, context_params) guard context != nil else { print("Failed to initialize context") exit(1) @@ -141,7 +146,7 @@ while n_cur <= n_len { let new_token_id = llama_sampler_sample(smpl, context, i_batch[i]) // is it an end of stream? -> mark the stream as finished - if llama_vocab_is_eog(model, new_token_id) || n_cur == n_len { + if llama_vocab_is_eog(vocab, new_token_id) || n_cur == n_len { i_batch[i] = -1 // print("") if n_parallel > 1 { @@ -207,7 +212,7 @@ private func tokenize(text: String, add_bos: Bool) -> [llama_token] { let utf8Count = text.utf8.count let n_tokens = utf8Count + (add_bos ? 1 : 0) let tokens = UnsafeMutablePointer.allocate(capacity: n_tokens) - let tokenCount = llama_tokenize(model, text, Int32(utf8Count), tokens, Int32(n_tokens), add_bos, /*special tokens*/ false) + let tokenCount = llama_tokenize(vocab, text, Int32(utf8Count), tokens, Int32(n_tokens), add_bos, /*special tokens*/ false) var swiftTokens: [llama_token] = [] for i in 0 ..< tokenCount { swiftTokens.append(tokens[Int(i)]) @@ -218,12 +223,12 @@ private func tokenize(text: String, add_bos: Bool) -> [llama_token] { private func token_to_piece(token: llama_token, buffer: inout [CChar]) -> String? { var result = [CChar](repeating: 0, count: 8) - let nTokens = llama_token_to_piece(model, token, &result, Int32(result.count), 0, false) + let nTokens = llama_token_to_piece(vocab, token, &result, Int32(result.count), 0, false) if nTokens < 0 { let actualTokensCount = -Int(nTokens) result = .init(repeating: 0, count: actualTokensCount) let check = llama_token_to_piece( - model, + vocab, token, &result, Int32(result.count), diff --git a/examples/llama.swiftui/llama.cpp.swift/LibLlama.swift b/examples/llama.swiftui/llama.cpp.swift/LibLlama.swift index 477c3e6f2..ee7141a66 100644 --- a/examples/llama.swiftui/llama.cpp.swift/LibLlama.swift +++ b/examples/llama.swiftui/llama.cpp.swift/LibLlama.swift @@ -24,6 +24,7 @@ func llama_batch_add(_ batch: inout llama_batch, _ id: llama_token, _ pos: llama actor LlamaContext { private var model: OpaquePointer private var context: OpaquePointer + private var vocab: OpaquePointer private var sampling: UnsafeMutablePointer private var batch: llama_batch private var tokens_list: [llama_token] @@ -47,6 +48,7 @@ actor LlamaContext { self.sampling = llama_sampler_chain_init(sparams) llama_sampler_chain_add(self.sampling, llama_sampler_init_temp(0.4)) llama_sampler_chain_add(self.sampling, llama_sampler_init_dist(1234)) + vocab = llama_model_get_vocab(model) } deinit { @@ -79,7 +81,7 @@ actor LlamaContext { ctx_params.n_threads = Int32(n_threads) ctx_params.n_threads_batch = Int32(n_threads) - let context = llama_new_context_with_model(model, ctx_params) + let context = llama_init_from_model(model, ctx_params) guard let context else { print("Could not load context!") throw LlamaError.couldNotInitializeContext @@ -151,7 +153,7 @@ actor LlamaContext { new_token_id = llama_sampler_sample(sampling, context, batch.n_tokens - 1) - if llama_vocab_is_eog(model, new_token_id) || n_cur == n_len { + if llama_vocab_is_eog(vocab, new_token_id) || n_cur == n_len { print("\n") is_done = true let new_token_str = String(cString: temporary_invalid_cchars + [0]) @@ -297,7 +299,7 @@ actor LlamaContext { let utf8Count = text.utf8.count let n_tokens = utf8Count + (add_bos ? 1 : 0) + 1 let tokens = UnsafeMutablePointer.allocate(capacity: n_tokens) - let tokenCount = llama_tokenize(model, text, Int32(utf8Count), tokens, Int32(n_tokens), add_bos, false) + let tokenCount = llama_tokenize(vocab, text, Int32(utf8Count), tokens, Int32(n_tokens), add_bos, false) var swiftTokens: [llama_token] = [] for i in 0...allocate(capacity: Int(-nTokens)) @@ -324,7 +326,7 @@ actor LlamaContext { defer { newResult.deallocate() } - let nNewTokens = llama_token_to_piece(model, token, newResult, -nTokens, 0, false) + let nNewTokens = llama_token_to_piece(vocab, token, newResult, -nTokens, 0, false) let bufferPointer = UnsafeBufferPointer(start: newResult, count: Int(nNewTokens)) return Array(bufferPointer) } else { From 106045e7bb8db481bb2ebbc60e3b53cb27ada117 Mon Sep 17 00:00:00 2001 From: Shelby Jenkins <47464908+ShelbyJenkins@users.noreply.github.com> Date: Tue, 4 Feb 2025 05:20:55 -0600 Subject: [PATCH 08/50] readme : add llm_client Rust crate to readme bindings (#11628) [This crate](https://github.com/ShelbyJenkins/llm_client) has been in a usable state for quite awhile, so I figured now is fair to add it. It installs from crates.io, and automatically downloads the llama.cpp repo and builds it for the target platform - with the goal being the easiest user experience possible. It also integrates model presets and choosing the largest quant given the target's available VRAM. So a user just has to specify one of the presets (I manually add the most popular models), and it will download from hugging face. So, it's like a Rust Ollama, but it's not really for chatting. It makes heavy use of llama.cpp's grammar system to do structured output for decision making and control flow tasks. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 7f306d199..d68330d2a 100644 --- a/README.md +++ b/README.md @@ -136,6 +136,7 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo - Rust (more features): [edgenai/llama_cpp-rs](https://github.com/edgenai/llama_cpp-rs) - Rust (nicer API): [mdrokz/rust-llama.cpp](https://github.com/mdrokz/rust-llama.cpp) - Rust (more direct bindings): [utilityai/llama-cpp-rs](https://github.com/utilityai/llama-cpp-rs) +- Rust (automated build from crates.io): [ShelbyJenkins/llm_client](https://github.com/ShelbyJenkins/llm_client) - C#/.NET: [SciSharp/LLamaSharp](https://github.com/SciSharp/LLamaSharp) - C#/VB.NET (more features - community license): [LM-Kit.NET](https://docs.lm-kit.com/lm-kit-net/index.html) - Scala 3: [donderom/llm4s](https://github.com/donderom/llm4s) From db288b60cb49eab69703f995379b8d75c18bf5b3 Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Tue, 4 Feb 2025 15:48:53 +0000 Subject: [PATCH 09/50] `tool-call`: command r7b fix for normal responses (#11608) * fix command r7b normal response regex + add to server test * test multiline non-tool-call responses in test-chat --- common/chat.cpp | 2 +- examples/server/tests/unit/test_tool_call.py | 8 ++++--- tests/test-chat.cpp | 24 +++++++++++--------- 3 files changed, 19 insertions(+), 15 deletions(-) diff --git a/common/chat.cpp b/common/chat.cpp index f87583d85..4a113c0ca 100644 --- a/common/chat.cpp +++ b/common/chat.cpp @@ -365,7 +365,7 @@ static common_chat_params common_chat_params_init_command_r7b(const common_chat_ return data; } static common_chat_msg common_chat_parse_command_r7b(const std::string & input) { - static std::regex response_regex("<\\|START_RESPONSE\\|>(.*?)<\\|END_RESPONSE\\|>"); + static std::regex response_regex("<\\|START_RESPONSE\\|>([\\s\\S\\n\\r]*?)<\\|END_RESPONSE\\|>"); static std::regex thought_action_regex("<\\|START_THINKING\\|>([\\s\\S\\n\\r]*?)<\\|END_THINKING\\|><\\|START_ACTION\\|>([\\s\\S\\n\\r]*?)<\\|END_ACTION\\|>"); std::smatch match; diff --git a/examples/server/tests/unit/test_tool_call.py b/examples/server/tests/unit/test_tool_call.py index 62a48a0d9..4a551404f 100644 --- a/examples/server/tests/unit/test_tool_call.py +++ b/examples/server/tests/unit/test_tool_call.py @@ -273,6 +273,7 @@ def test_completion_without_tool_call_slow(template_name: str, n_predict: int, t @pytest.mark.slow @pytest.mark.parametrize("hf_repo,template_override", [ + ("bartowski/c4ai-command-r7b-12-2024-GGUF:Q4_K_M", ("CohereForAI/c4ai-command-r7b-12-2024", "tool_use")), ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None), ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"), @@ -303,12 +304,13 @@ def test_completion_without_tool_call_slow(template_name: str, n_predict: int, t # ("bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)), # ("bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None), ]) -def test_weather_tool_call(hf_repo: str, template_override: str | Tuple[str, str | None] | None): +def test_weather(hf_repo: str, template_override: Tuple[str, str | None] | None): global server + n_predict = 512 server.n_slots = 1 server.jinja = True server.n_ctx = 8192 - server.n_predict = 512 + server.n_predict = n_predict server.model_hf_repo = hf_repo server.model_hf_file = None if isinstance(template_override, tuple): @@ -319,7 +321,7 @@ def test_weather_tool_call(hf_repo: str, template_override: str | Tuple[str, str server.chat_template = template_override server.start(timeout_seconds=TIMEOUT_SERVER_START) res = server.make_request("POST", "/chat/completions", data={ - "max_tokens": 256, + "max_tokens": n_predict, "messages": [ {"role": "user", "content": "What is the weather in Istanbul?"}, ], diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp index 9956c1f1f..50bd40738 100644 --- a/tests/test-chat.cpp +++ b/tests/test-chat.cpp @@ -289,7 +289,7 @@ static void test_template(const common_chat_template & tmpl, const std::vector"); test_template(tmpl, end_tokens, text_message, tools, - "<|START_RESPONSE|>Hello, world!<|END_RESPONSE|>", + "<|START_RESPONSE|>Hello, world!\n" + "What's up?<|END_RESPONSE|>", /* expect_grammar_triggered= */ false); } { @@ -428,7 +429,7 @@ static void test_template_output_parsers() { assert_msg_equals(msg_from_json(text_message), common_chat_parse("{\n" - " \"response\": \"Hello, world!\"\n" + " \"response\": \"Hello, world!\\nWhat's up?\"\n" "}", common_chat_params_init(tmpl, inputs_tools).format)); test_template(tmpl, end_tokens, tool_call_message_with_id, tools, @@ -451,7 +452,7 @@ static void test_template_output_parsers() { assert_equals(COMMON_CHAT_FORMAT_MISTRAL_NEMO, common_chat_params_init(tmpl, inputs_tools).format); - test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false); + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); test_template( tmpl, end_tokens, tool_call_message_with_id, tools, "[TOOL_CALLS][{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, \"id\": \"123456789\"}]"); @@ -476,7 +477,7 @@ static void test_template_output_parsers() { inputs_tools) .format); - test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false); + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); test_template(tmpl, end_tokens, tool_call_message, tools, "\n" "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n" @@ -516,7 +517,7 @@ static void test_template_output_parsers() { assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X, common_chat_params_init(tmpl, inputs_tools).format); - test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false); + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); test_template(tmpl, end_tokens, tool_call_message, tools, "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}"); } @@ -528,7 +529,7 @@ static void test_template_output_parsers() { assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1, common_chat_params_init(tmpl, inputs_tools).format); - test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false); + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); test_template(tmpl, end_tokens, tool_call_message, tools, "{\"arg1\": 1}"); } @@ -542,7 +543,8 @@ static void test_template_output_parsers() { test_template(tmpl, end_tokens, text_message, {}, "all\n" - "Hello, world!", + "Hello, world!\n" + "What's up?", /* expect_grammar_triggered= */ false); test_template(tmpl, end_tokens, tool_call_message, tools, "special_function\n" @@ -555,7 +557,7 @@ static void test_template_output_parsers() { assert_equals(COMMON_CHAT_FORMAT_FIREFUNCTION_V2, common_chat_params_init(tmpl, inputs_tools).format); - test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false); + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); test_template(tmpl, end_tokens, tool_call_message, tools, " functools[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]"); } @@ -566,7 +568,7 @@ static void test_template_output_parsers() { assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_R1, common_chat_params_init(tmpl, inputs_tools).format); - test_template(tmpl, end_tokens, text_message, tools, "Hello, world!", /* expect_grammar_triggered= */ false); + test_template(tmpl, end_tokens, text_message, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false); test_template(tmpl, end_tokens, tool_call_message, tools, "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n" "```json\n" From 1bef571f6a23c36a26dabacba631763f9a893b83 Mon Sep 17 00:00:00 2001 From: Radoslav Gerganov Date: Tue, 4 Feb 2025 18:16:20 +0200 Subject: [PATCH 10/50] arg : list RPC devices first when using --list-devices (#11655) List devices in the same order as they appear when evaluating the model and splitting tensors across devices, i.e. RPC devices come first in the list. ref #11435 --- common/arg.cpp | 21 +++++++++++++++++---- 1 file changed, 17 insertions(+), 4 deletions(-) diff --git a/common/arg.cpp b/common/arg.cpp index f5e9b294f..76b898881 100644 --- a/common/arg.cpp +++ b/common/arg.cpp @@ -1465,15 +1465,28 @@ common_params_context common_params_parser_init(common_params & params, llama_ex {"--list-devices"}, "print list of available devices and exit", [](common_params &) { - printf("Available devices:\n"); + std::vector rpc_devices; + std::vector all_devices; for (size_t i = 0; i < ggml_backend_dev_count(); ++i) { auto * dev = ggml_backend_dev_get(i); if (ggml_backend_dev_type(dev) == GGML_BACKEND_DEVICE_TYPE_GPU) { - size_t free, total; - ggml_backend_dev_memory(dev, &free, &total); - printf(" %s: %s (%zu MiB, %zu MiB free)\n", ggml_backend_dev_name(dev), ggml_backend_dev_description(dev), total / 1024 / 1024, free / 1024 / 1024); + ggml_backend_reg_t reg = ggml_backend_dev_backend_reg(dev); + if (ggml_backend_reg_name(reg) == std::string("RPC")) { + rpc_devices.push_back(dev); + } else { + all_devices.push_back(dev); + } } } + // insert RPC devices in front + all_devices.insert(all_devices.begin(), rpc_devices.begin(), rpc_devices.end()); + printf("Available devices:\n"); + for (size_t i = 0; i < all_devices.size(); ++i) { + auto * dev = all_devices[i]; + size_t free, total; + ggml_backend_dev_memory(dev, &free, &total); + printf(" %s: %s (%zu MiB, %zu MiB free)\n", ggml_backend_dev_name(dev), ggml_backend_dev_description(dev), total / 1024 / 1024, free / 1024 / 1024); + } exit(0); } )); From 3962fc1a7956dd0afacfbce10fd1a3ffd3ad857e Mon Sep 17 00:00:00 2001 From: Xuan-Son Nguyen Date: Tue, 4 Feb 2025 18:25:42 +0100 Subject: [PATCH 11/50] server : add try..catch to places not covered by set_exception_handler (#11620) * server : add try..catch to places not covered by set_exception_handler * log_server_request: rm try catch, add reminder --- examples/server/server.cpp | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/examples/server/server.cpp b/examples/server/server.cpp index e0acc4705..9cdf2058f 100644 --- a/examples/server/server.cpp +++ b/examples/server/server.cpp @@ -3353,6 +3353,8 @@ static void log_server_request(const httplib::Request & req, const httplib::Resp return; } + // reminder: this function is not covered by httplib's exception handler; if someone does more complicated stuff, think about wrapping it in try-catch + LOG_INF("request: %s %s %s %d\n", req.method.c_str(), req.path.c_str(), req.remote_addr.c_str(), res.status); LOG_DBG("request: %s\n", req.body.c_str()); @@ -3439,9 +3441,13 @@ int main(int argc, char ** argv) { message = "Unknown Exception"; } - json formatted_error = format_error_response(message, ERROR_TYPE_SERVER); - LOG_WRN("got exception: %s\n", formatted_error.dump().c_str()); - res_error(res, formatted_error); + try { + json formatted_error = format_error_response(message, ERROR_TYPE_SERVER); + LOG_WRN("got exception: %s\n", formatted_error.dump().c_str()); + res_error(res, formatted_error); + } catch (const std::exception & e) { + LOG_ERR("got another exception: %s | while hanlding exception: %s\n", e.what(), message.c_str()); + } }); svr->set_error_handler([&res_error](const httplib::Request &, httplib::Response & res) { From 3ec9fd4b77b6aca03a3c2bf678eae3f9517d6904 Mon Sep 17 00:00:00 2001 From: fxzjshm <11426482+fxzjshm@users.noreply.github.com> Date: Wed, 5 Feb 2025 02:18:38 +0800 Subject: [PATCH 12/50] HIP: force max threads per block to be 1024 (#11621) Some old/vendor forked version of llvm still use 256. Explicitly set it to 1024 to align with upstream llvm. Signed-off-by: fxzjshm --- ggml/src/ggml-hip/CMakeLists.txt | 3 +++ 1 file changed, 3 insertions(+) diff --git a/ggml/src/ggml-hip/CMakeLists.txt b/ggml/src/ggml-hip/CMakeLists.txt index eb03e10fa..f4a468363 100644 --- a/ggml/src/ggml-hip/CMakeLists.txt +++ b/ggml/src/ggml-hip/CMakeLists.txt @@ -46,6 +46,9 @@ endif() message(STATUS "HIP and hipBLAS found") +# Workaround old compilers +set(CMAKE_HIP_FLAGS "${CMAKE_HIP_FLAGS} --gpu-max-threads-per-block=1024") + file(GLOB GGML_HEADERS_ROCM "../ggml-cuda/*.cuh") list(APPEND GGML_HEADERS_ROCM "../../include/ggml-cuda.h") From fd08255d0dea6625596c0367ee0a11d195f36762 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= Date: Tue, 4 Feb 2025 22:21:42 +0100 Subject: [PATCH 13/50] CUDA: non-contiguous (RMS) norm support (#11659) * CUDA: non-contiguous (RMS) norm support --------- Co-authored-by: Georgi Gerganov --- ggml/src/ggml-cuda/ggml-cuda.cu | 4 ++ ggml/src/ggml-cuda/norm.cu | 89 ++++++++++++++++++---------- ggml/src/ggml-metal/ggml-metal.m | 5 +- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 2 + src/llama.cpp | 6 +- tests/test-backend-ops.cpp | 38 ++++++++---- 6 files changed, 97 insertions(+), 47 deletions(-) diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index bda10aec1..70a598099 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -38,6 +38,7 @@ #include "ggml-cuda/upscale.cuh" #include "ggml-cuda/wkv6.cuh" #include "ggml-cuda/gla.cuh" +#include "ggml.h" #include #include @@ -3139,6 +3140,7 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g break; case GGML_OP_NORM: case GGML_OP_RMS_NORM: + return true; case GGML_OP_RMS_NORM_BACK: return ggml_is_contiguous(op->src[0]) && op->ne[0] % WARP_SIZE == 0; break; @@ -3181,7 +3183,9 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g case GGML_OP_SUM_ROWS: case GGML_OP_ARGSORT: case GGML_OP_ACC: + return true; case GGML_OP_GROUP_NORM: + return ggml_is_contiguous(op->src[0]); case GGML_OP_UPSCALE: case GGML_OP_PAD: case GGML_OP_ARANGE: diff --git a/ggml/src/ggml-cuda/norm.cu b/ggml/src/ggml-cuda/norm.cu index d991ec972..f127616ed 100644 --- a/ggml/src/ggml-cuda/norm.cu +++ b/ggml/src/ggml-cuda/norm.cu @@ -1,12 +1,20 @@ #include "norm.cuh" +#include template -static __global__ void norm_f32(const float * x, float * dst, const int ncols, const float eps) { - const int row = blockIdx.x*blockDim.y + threadIdx.y; - const int tid = threadIdx.x; +static __global__ void norm_f32( + const float * x, float * dst, const int ncols, const int64_t stride_row, const int64_t stride_channel, + const int64_t stride_sample, const float eps) { + const int nrows = gridDim.x; + const int nchannels = gridDim.y; - x += int64_t(row)*ncols; - dst += int64_t(row)*ncols; + const int row = blockIdx.x; + const int channel = blockIdx.y; + const int sample = blockIdx.z; + const int tid = threadIdx.x; + + x += sample*stride_sample + channel*stride_channel + row*stride_row; + dst += ((sample*nchannels + channel)*nrows + row)*ncols; float2 mean_var = make_float2(0.0f, 0.0f); @@ -97,12 +105,19 @@ static __global__ void group_norm_f32(const float * x, float * dst, const int gr } template -static __global__ void rms_norm_f32(const float * x, float * dst, const int ncols, const float eps) { - const int row = blockIdx.x*blockDim.y + threadIdx.y; - const int tid = threadIdx.x; +static __global__ void rms_norm_f32( + const float * x, float * dst, const int ncols, const int64_t stride_row, const int64_t stride_channel, + const int64_t stride_sample, const float eps) { + const int nrows = gridDim.x; + const int nchannels = gridDim.y; - x += int64_t(row)*ncols; - dst += int64_t(row)*ncols; + const int row = blockIdx.x; + const int channel = blockIdx.y; + const int sample = blockIdx.z; + const int tid = threadIdx.x; + + x += sample*stride_sample + channel*stride_channel + row*stride_row; + dst += ((sample*nchannels + channel)*nrows + row)*ncols; float tmp = 0.0f; // partial sum for thread in warp @@ -186,13 +201,16 @@ static __global__ void rms_norm_back_f32( } } -static void norm_f32_cuda(const float * x, float * dst, const int ncols, const int nrows, const float eps, cudaStream_t stream) { +static void norm_f32_cuda( + const float * x, float * dst, const int ncols, const int nrows, const int nchannels, const int nsamples, + const int64_t stride_row, const int64_t stride_channel, const int64_t stride_sample, const float eps, cudaStream_t stream) { + const dim3 blocks_num(nrows, nchannels, nsamples); if (ncols < 1024) { const dim3 block_dims(WARP_SIZE, 1, 1); - norm_f32<<>>(x, dst, ncols, eps); + norm_f32<<>>(x, dst, ncols, stride_row, stride_channel, stride_sample, eps); } else { const dim3 block_dims(1024, 1, 1); - norm_f32<1024><<>>(x, dst, ncols, eps); + norm_f32<1024><<>>(x, dst, ncols, stride_row, stride_channel, stride_sample, eps); } } @@ -207,13 +225,16 @@ static void group_norm_f32_cuda( } } -static void rms_norm_f32_cuda(const float * x, float * dst, const int ncols, const int nrows, const float eps, cudaStream_t stream) { +static void rms_norm_f32_cuda( + const float * x, float * dst, const int ncols, const int nrows, const int nchannels, const int nsamples, + const int64_t stride_row, const int64_t stride_channel, const int64_t stride_sample, const float eps, cudaStream_t stream) { + const dim3 blocks_num(nrows, nchannels, nsamples); if (ncols < 1024) { const dim3 block_dims(WARP_SIZE, 1, 1); - rms_norm_f32<<>>(x, dst, ncols, eps); + rms_norm_f32<<>>(x, dst, ncols, stride_row, stride_channel, stride_sample, eps); } else { const dim3 block_dims(1024, 1, 1); - rms_norm_f32<1024><<>>(x, dst, ncols, eps); + rms_norm_f32<1024><<>>(x, dst, ncols, stride_row, stride_channel, stride_sample, eps); } } @@ -229,23 +250,26 @@ static void rms_norm_back_f32_cuda(const float * grad, const float * xf, float * void ggml_cuda_op_norm(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { const ggml_tensor * src0 = dst->src[0]; - const float * src0_d = (const float *)src0->data; - float * dst_d = (float *)dst->data; + const float * src0_d = (const float *) src0->data; + float * dst_d = (float *) dst->data; cudaStream_t stream = ctx.stream(); - GGML_ASSERT(ggml_is_contiguous(src0)); - GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); - const int64_t ne00 = src0->ne[0]; - const int64_t nrows = ggml_nrows(src0); + GGML_TENSOR_UNARY_OP_LOCALS; float eps; memcpy(&eps, dst->op_params, sizeof(float)); GGML_ASSERT(eps >= 0.0f); - norm_f32_cuda(src0_d, dst_d, ne00, nrows, eps, stream); + const size_t ts0 = ggml_type_size(src0->type); + GGML_ASSERT(nb00 == ts0); + const int64_t s01 = nb01 / ts0; + const int64_t s02 = nb02 / ts0; + const int64_t s03 = nb03 / ts0; + + norm_f32_cuda(src0_d, dst_d, ne00, ne01, ne02, ne03, s01, s02, s03, eps, stream); } void ggml_cuda_op_group_norm(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { @@ -254,8 +278,6 @@ void ggml_cuda_op_group_norm(ggml_backend_cuda_context & ctx, ggml_tensor * dst) float * dst_d = (float *)dst->data; cudaStream_t stream = ctx.stream(); - GGML_ASSERT(ggml_is_contiguous(src0)); - GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); @@ -271,23 +293,26 @@ void ggml_cuda_op_group_norm(ggml_backend_cuda_context & ctx, ggml_tensor * dst) void ggml_cuda_op_rms_norm(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { const ggml_tensor * src0 = dst->src[0]; - const float * src0_d = (const float *)src0->data; - float * dst_d = (float *)dst->data; + const float * src0_d = (const float *) src0->data; + float * dst_d = (float *) dst->data; cudaStream_t stream = ctx.stream(); - GGML_ASSERT(ggml_is_contiguous(src0)); - GGML_ASSERT(src0->type == GGML_TYPE_F32); GGML_ASSERT( dst->type == GGML_TYPE_F32); - const int64_t ne00 = src0->ne[0]; - const int64_t nrows = ggml_nrows(src0); + GGML_TENSOR_UNARY_OP_LOCALS; float eps; memcpy(&eps, dst->op_params, sizeof(float)); GGML_ASSERT(eps >= 0.0f); - rms_norm_f32_cuda(src0_d, dst_d, ne00, nrows, eps, stream); + const size_t ts0 = ggml_type_size(src0->type); + GGML_ASSERT(nb00 == ts0); + const int64_t s01 = nb01 / ts0; + const int64_t s02 = nb02 / ts0; + const int64_t s03 = nb03 / ts0; + + rms_norm_f32_cuda(src0_d, dst_d, ne00, ne01, ne02, ne03, s01, s02, s03, eps, stream); } void ggml_cuda_op_rms_norm_back(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { diff --git a/ggml/src/ggml-metal/ggml-metal.m b/ggml/src/ggml-metal/ggml-metal.m index 9605914ff..0a264be37 100644 --- a/ggml/src/ggml-metal/ggml-metal.m +++ b/ggml/src/ggml-metal/ggml-metal.m @@ -1206,10 +1206,11 @@ static bool ggml_metal_supports_op(const struct ggml_backend_metal_device_contex case GGML_OP_GROUP_NORM: return has_simdgroup_reduction; case GGML_OP_RMS_NORM: - return has_simdgroup_reduction && (op->ne[0] % 4 == 0); + return has_simdgroup_reduction && (op->ne[0] % 4 == 0 && ggml_is_contiguous_1(op->src[0])); case GGML_OP_ARGMAX: - case GGML_OP_NORM: return true; + case GGML_OP_NORM: + return has_simdgroup_reduction && ggml_is_contiguous(op->src[0]); case GGML_OP_ROPE: { const int mode = ((const int32_t *) op->op_params)[2]; diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index 9ca3959ab..48ac489a6 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -8182,9 +8182,11 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm case GGML_OP_VIEW: case GGML_OP_PERMUTE: case GGML_OP_TRANSPOSE: + return true; case GGML_OP_NORM: case GGML_OP_GROUP_NORM: case GGML_OP_RMS_NORM: + return ggml_is_contiguous(op->src[0]); case GGML_OP_ADD: case GGML_OP_ACC: case GGML_OP_MUL: diff --git a/src/llama.cpp b/src/llama.cpp index 5760017e0..aae3c69b5 100644 --- a/src/llama.cpp +++ b/src/llama.cpp @@ -4610,7 +4610,8 @@ struct llm_build_context { ggml_row_size(kv_pe_compresseed->type, kv_lora_rank)); cb(k_pe, "k_pe", il); - kv_compressed = ggml_cont(ctx0, kv_compressed); // TODO: the CUDA backend does not support non-contiguous norm + // TODO: the CUDA backend used to not support non-cont. (RMS) norm, investigate removing ggml_cont + kv_compressed = ggml_cont(ctx0, kv_compressed); kv_compressed = llm_build_norm(ctx0, kv_compressed, hparams, model.layers[il].attn_kv_a_norm, NULL, LLM_NORM_RMS, cb, il); @@ -6464,7 +6465,8 @@ struct llm_build_context { ggml_row_size(kv_pe_compresseed->type, kv_lora_rank)); cb(k_pe, "k_pe", il); - kv_compressed = ggml_cont(ctx0, kv_compressed); // TODO: the CUDA backend does not support non-contiguous norm + // TODO: the CUDA backend used to not support non-cont. (RMS) norm, investigate removing ggml_cont + kv_compressed = ggml_cont(ctx0, kv_compressed); kv_compressed = llm_build_norm(ctx0, kv_compressed, hparams, model.layers[il].attn_kv_a_norm, NULL, LLM_NORM_RMS, cb, il); diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp index 4c5c4dd9c..1bfd41254 100644 --- a/tests/test-backend-ops.cpp +++ b/tests/test-backend-ops.cpp @@ -1674,21 +1674,28 @@ struct test_silu_back : public test_case { struct test_norm : public test_case { const ggml_type type; const std::array ne; - float eps; + const bool v; // whether a is a non-contiguous view + const float eps; std::string vars() override { - return VARS_TO_STR3(type, ne, eps); + return VARS_TO_STR4(type, ne, v, eps); } test_norm(ggml_type type = GGML_TYPE_F32, std::array ne = {64, 5, 4, 3}, + bool v = false, float eps = 1e-6f) - : type(type), ne(ne), eps(eps) {} + : type(type), ne(ne), v(v), eps(eps) {} ggml_tensor * build_graph(ggml_context * ctx) override { ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data()); ggml_set_name(a, "a"); + if (v) { + a = ggml_view_4d(ctx, a, a->ne[0]/2, a->ne[1]/2, a->ne[2]/2, a->ne[3]/2, a->nb[1], a->nb[2], a->nb[3], 0); + ggml_set_name(a, "view of a"); + } + ggml_tensor * out = ggml_norm(ctx, a, eps); ggml_set_name(out, "out"); @@ -1700,22 +1707,29 @@ struct test_norm : public test_case { struct test_rms_norm : public test_case { const ggml_type type; const std::array ne; - float eps; + const bool v; // whether a is a non-contiguous view + const float eps; std::string vars() override { - return VARS_TO_STR3(type, ne, eps); + return VARS_TO_STR4(type, ne, v, eps); } test_rms_norm(ggml_type type = GGML_TYPE_F32, std::array ne = {64, 5, 4, 3}, + bool v = false, float eps = 1e-6f) - : type(type), ne(ne), eps(eps) {} + : type(type), ne(ne), v(v), eps(eps) {} ggml_tensor * build_graph(ggml_context * ctx) override { ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data()); ggml_set_param(ctx, a); ggml_set_name(a, "a"); + if (v) { + a = ggml_view_4d(ctx, a, a->ne[0]/2, a->ne[1]/2, a->ne[2]/2, a->ne[3]/2, a->nb[1], a->nb[2], a->nb[3], 0); + ggml_set_name(a, "view of a"); + } + ggml_tensor * out = ggml_rms_norm(ctx, a, eps); ggml_set_name(out, "out"); @@ -1741,7 +1755,7 @@ struct test_rms_norm : public test_case { struct test_rms_norm_back : public test_case { const ggml_type type; const std::array ne; - float eps; + const float eps; std::string vars() override { return VARS_TO_STR3(type, ne, eps); @@ -2919,7 +2933,7 @@ struct test_group_norm : public test_case { const float eps; std::string vars() override { - return VARS_TO_STR3(type, ne, num_groups); + return VARS_TO_STR4(type, ne, num_groups, eps); } test_group_norm(ggml_type type = GGML_TYPE_F32, @@ -3964,9 +3978,11 @@ static std::vector> make_test_cases_eval() { test_cases.emplace_back(new test_scale()); test_cases.emplace_back(new test_silu_back()); - for (float eps : {0.0f, 1e-7f, 1e-4f, 1e-1f}) { - test_cases.emplace_back(new test_norm (GGML_TYPE_F32, {64, 5, 4, 3}, eps)); - test_cases.emplace_back(new test_rms_norm (GGML_TYPE_F32, {64, 5, 4, 3}, eps)); + for (float eps : {0.0f, 1e-6f, 1e-4f, 1e-1f}) { + for (bool v : {false, true}) { + test_cases.emplace_back(new test_norm (GGML_TYPE_F32, {64, 5, 4, 3}, v, eps)); + test_cases.emplace_back(new test_rms_norm(GGML_TYPE_F32, {64, 5, 4, 3}, v, eps)); + } test_cases.emplace_back(new test_rms_norm_back(GGML_TYPE_F32, {64, 5, 4, 3}, eps)); } From 9f4cc8f8d310b13ab3fc93a9be81b1d1376a7fa6 Mon Sep 17 00:00:00 2001 From: Olivier Chafik Date: Wed, 5 Feb 2025 01:00:12 +0000 Subject: [PATCH 14/50] `sync`: minja (#11641) * `sync`: minja https://github.com/google/minja/commit/182de30cdaee78ba86179122f8047b3bdbab7f7f https://github.com/google/minja/pull/46 https://github.com/google/minja/pull/45 --- common/chat-template.hpp | 211 +++++++++++++++++++++++++++++++++------ common/chat.cpp | 45 +++++++-- common/common.cpp | 9 +- common/minja.hpp | 8 +- examples/run/run.cpp | 10 +- tests/test-chat.cpp | 8 +- 6 files changed, 233 insertions(+), 58 deletions(-) diff --git a/common/chat-template.hpp b/common/chat-template.hpp index 58e119a3b..0e88fb361 100644 --- a/common/chat-template.hpp +++ b/common/chat-template.hpp @@ -33,6 +33,29 @@ struct chat_template_caps { bool requires_typed_content = false; }; +struct chat_template_inputs { + nlohmann::ordered_json messages; + nlohmann::ordered_json tools; + bool add_generation_prompt = true; + nlohmann::ordered_json extra_context; + std::chrono::system_clock::time_point now = std::chrono::system_clock::now(); +}; + +struct chat_template_options { + bool apply_polyfills = true; + bool use_bos_token = true; + bool use_eos_token = true; + bool define_strftime_now = true; + + bool polyfill_tools = true; + bool polyfill_tool_call_examples = true; + bool polyfill_tool_calls = true; + bool polyfill_tool_responses = true; + bool polyfill_system_role = true; + bool polyfill_object_arguments = true; + bool polyfill_typed_content = true; +}; + class chat_template { private: @@ -41,6 +64,7 @@ class chat_template { std::string bos_token_; std::string eos_token_; std::shared_ptr template_root_; + std::string tool_call_example_; std::string try_raw_render( const nlohmann::ordered_json & messages, @@ -49,7 +73,18 @@ class chat_template { const nlohmann::ordered_json & extra_context = nlohmann::ordered_json()) const { try { - auto prompt = apply(messages, tools, add_generation_prompt, extra_context, /* adjust_inputs= */ false); + chat_template_inputs inputs; + inputs.messages = messages; + inputs.tools = tools; + inputs.add_generation_prompt = add_generation_prompt; + inputs.extra_context = extra_context; + // Use fixed date for tests + inputs.now = std::chrono::system_clock::from_time_t(0); + + chat_template_options opts; + opts.apply_polyfills = false; + + auto prompt = apply(inputs, opts); // fprintf(stderr, "try_raw_render: %s\n", prompt.c_str()); return prompt; } catch (const std::exception & e) { @@ -176,6 +211,58 @@ class chat_template { caps_.supports_tool_responses = contains(out, "Some response!"); caps_.supports_tool_call_id = contains(out, "call_911_"); } + + try { + if (!caps_.supports_tools) { + const json user_msg { + {"role", "user"}, + {"content", "Hey"}, + }; + const json args { + {"arg1", "some_value"}, + }; + const json tool_call_msg { + {"role", "assistant"}, + {"content", nullptr}, + {"tool_calls", json::array({ + { + // TODO: detect if requires numerical id or fixed length == 6 like Nemo + {"id", "call_1___"}, + {"type", "function"}, + {"function", { + {"name", "tool_name"}, + {"arguments", (caps_.requires_object_arguments ? args : json(minja::Value(args).dump(-1, /* to_json= */ true)))}, + }}, + }, + })}, + }; + std::string prefix, full; + { + chat_template_inputs inputs; + inputs.messages = json::array({user_msg}); + inputs.add_generation_prompt = true; + prefix = apply(inputs); + } + { + chat_template_inputs inputs; + inputs.messages = json::array({user_msg, tool_call_msg}); + inputs.add_generation_prompt = false; + full = apply(inputs); + } + + if (full.find(prefix) != 0) { + if (prefix.rfind(eos_token_) == prefix.size() - eos_token_.size()) { + prefix = prefix.substr(0, prefix.size() - eos_token_.size()); + } + } + if (full.find(prefix) != 0) { + fprintf(stderr, "Failed to infer a tool call example (possible template bug)\n"); + } + tool_call_example_ = full.substr(prefix.size()); + } + } catch (const std::exception & e) { + fprintf(stderr, "Failed to generate tool call example: %s\n", e.what()); + } } const std::string & source() const { return source_; } @@ -183,28 +270,72 @@ class chat_template { const std::string & eos_token() const { return eos_token_; } const chat_template_caps & original_caps() const { return caps_; } + // Deprecated, please use the form with chat_template_inputs and chat_template_options std::string apply( const nlohmann::ordered_json & messages, const nlohmann::ordered_json & tools, bool add_generation_prompt, const nlohmann::ordered_json & extra_context = nlohmann::ordered_json(), - bool adjust_inputs = true) const + bool apply_polyfills = true) + { + fprintf(stderr, "[%s] Deprecated!\n", __func__); + chat_template_inputs inputs; + inputs.messages = messages; + inputs.tools = tools; + inputs.add_generation_prompt = add_generation_prompt; + inputs.extra_context = extra_context; + inputs.now = std::chrono::system_clock::now(); + + chat_template_options opts; + opts.apply_polyfills = apply_polyfills; + + return apply(inputs, opts); + } + + std::string apply( + const chat_template_inputs & inputs, + const chat_template_options & opts = chat_template_options()) const { json actual_messages; - auto needs_adjustments = adjust_inputs && (false - || !caps_.supports_system_role - || !caps_.supports_tools - || !caps_.supports_tool_responses - || !caps_.supports_tool_calls - || caps_.requires_object_arguments - || caps_.requires_typed_content + auto has_tools = inputs.tools.is_array() && !inputs.tools.empty(); + auto has_tool_calls = false; + auto has_tool_responses = false; + auto has_string_content = false; + for (const auto & message : inputs.messages) { + if (message.contains("tool_calls") && !message["tool_calls"].is_null()) { + has_tool_calls = true; + } + if (message.contains("role") && message["role"] == "tool") { + has_tool_responses = true; + } + if (message.contains("content") && message["content"].is_string()) { + has_string_content = true; + } + } + + auto polyfill_system_role = opts.polyfill_system_role && !caps_.supports_system_role; + auto polyfill_tools = opts.polyfill_tools && has_tools && !caps_.supports_tools; + auto polyfill_tool_call_example = polyfill_tools && opts.polyfill_tool_call_examples; + auto polyfill_tool_calls = opts.polyfill_tool_calls && has_tool_calls && !caps_.supports_tool_calls; + auto polyfill_tool_responses = opts.polyfill_tool_responses && has_tool_responses && !caps_.supports_tool_responses; + auto polyfill_object_arguments = opts.polyfill_object_arguments && has_tool_calls && caps_.requires_object_arguments; + auto polyfill_typed_content = opts.polyfill_typed_content && has_string_content && caps_.requires_typed_content; + + auto needs_polyfills = opts.apply_polyfills && (false + || polyfill_system_role + || polyfill_tools + || polyfill_tool_calls + || polyfill_tool_responses + || polyfill_object_arguments + || polyfill_typed_content ); - if (needs_adjustments) { + + if (needs_polyfills) { actual_messages = json::array(); auto add_message = [&](const json & msg) { - if (caps_.requires_typed_content && msg.contains("content") && !msg.at("content").is_null() && msg.at("content").is_string()) { + if (polyfill_typed_content && msg.contains("content") && !msg.at("content").is_null() && msg.at("content").is_string()) { actual_messages.push_back({ {"role", msg.at("role")}, {"content", {{ @@ -227,9 +358,17 @@ class chat_template { pending_system.clear(); } }; - auto needs_tools_in_system = !tools.is_null() && tools.size() > 0 && !caps_.supports_tools; - for (const auto & message_ : needs_tools_in_system ? add_system(messages, "Available tools: " + tools.dump(2)) : messages) { + json adjusted_messages; + if (polyfill_tools) { + adjusted_messages = add_system(inputs.messages, + "You can call any of the following tools to satisfy the user's requests: " + minja::Value(inputs.tools).dump(2, /* to_json= */ true) + + (!polyfill_tool_call_example || tool_call_example_.empty() ? "" : "\n\nExample tool call syntax:\n\n" + tool_call_example_)); + } else { + adjusted_messages = inputs.messages; + } + + for (const auto & message_ : adjusted_messages) { auto message = message_; if (!message.contains("role") || !message.contains("content")) { throw std::runtime_error("message must have 'role' and 'content' fields: " + message.dump()); @@ -237,7 +376,7 @@ class chat_template { std::string role = message.at("role"); if (message.contains("tool_calls")) { - if (caps_.requires_object_arguments || !caps_.supports_tool_calls) { + if (polyfill_object_arguments || polyfill_tool_calls) { for (auto & tool_call : message.at("tool_calls")) { if (tool_call["type"] == "function") { auto & function = tool_call.at("function"); @@ -252,7 +391,7 @@ class chat_template { } } } - if (!caps_.supports_tool_calls) { + if (polyfill_tool_calls) { auto content = message.at("content"); auto tool_calls = json::array(); for (const auto & tool_call : message.at("tool_calls")) { @@ -279,7 +418,7 @@ class chat_template { message.erase("tool_calls"); } } - if (!caps_.supports_tool_responses && role == "tool") { + if (polyfill_tool_responses && role == "tool") { message["role"] = "user"; auto obj = json { {"tool_response", { @@ -296,7 +435,7 @@ class chat_template { message.erase("name"); } - if (!message["content"].is_null() && !caps_.supports_system_role) { + if (!message["content"].is_null() && polyfill_system_role) { std::string content = message.at("content"); if (role == "system") { if (!pending_system.empty()) pending_system += "\n"; @@ -315,28 +454,36 @@ class chat_template { } add_message(message); } - if (!caps_.supports_system_role) { - flush_sys(); - } + flush_sys(); } else { - actual_messages = messages; + actual_messages = inputs.messages; } auto context = minja::Context::make(json({ {"messages", actual_messages}, - {"add_generation_prompt", add_generation_prompt}, - {"bos_token", bos_token_}, - {"eos_token", eos_token_}, + {"add_generation_prompt", inputs.add_generation_prompt}, })); + context->set("bos_token", opts.use_bos_token ? bos_token_ : ""); + context->set("eos_token", opts.use_eos_token ? eos_token_ : ""); + if (opts.define_strftime_now) { + auto now = inputs.now; + context->set("strftime_now", Value::callable([now](const std::shared_ptr &, minja::ArgumentsValue & args) { + args.expectArgs("strftime_now", {1, 1}, {0, 0}); + auto format = args.args[0].get(); - if (!tools.is_null()) { - auto tools_val = minja::Value(tools); - context->set("tools", tools_val); + auto time = std::chrono::system_clock::to_time_t(now); + auto local_time = *std::localtime(&time); + std::ostringstream ss; + ss << std::put_time(&local_time, format.c_str()); + return ss.str(); + })); } - if (!extra_context.is_null()) { - for (auto & kv : extra_context.items()) { - minja::Value val(kv.value()); - context->set(kv.key(), val); + if (!inputs.tools.is_null()) { + context->set("tools", minja::Value(inputs.tools)); + } + if (!inputs.extra_context.is_null()) { + for (auto & kv : inputs.extra_context.items()) { + context->set(kv.key(), minja::Value(kv.value())); } } @@ -353,7 +500,7 @@ class chat_template { std::string existing_system = messages_with_system.at(0).at("content"); messages_with_system[0] = json { {"role", "system"}, - {"content", existing_system + "\n" + system_prompt}, + {"content", existing_system + "\n\n" + system_prompt}, }; } else { messages_with_system.insert(messages_with_system.begin(), json { diff --git a/common/chat.cpp b/common/chat.cpp index 4a113c0ca..ef1c6fb3d 100644 --- a/common/chat.cpp +++ b/common/chat.cpp @@ -163,6 +163,28 @@ static void foreach_function(const json & tools, const std::function", "<|END_ACTION|>", }; - data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); data.format = COMMON_CHAT_FORMAT_COMMAND_R7B; return data; } @@ -477,7 +499,7 @@ static common_chat_params common_chat_params_init_llama_3_1_tool_calls(const com builder.add_rule("root", string_join(tool_rules, " | ")); }, grammar_options); data.additional_stops.push_back("<|eom_id|>"); - data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt, { + data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt, { {"tools_in_user_message", false}, {"builtin_tools", builtin_tools.empty() ? json() : builtin_tools}, }); @@ -542,7 +564,8 @@ static common_chat_params common_chat_params_init_deepseek_r1(const common_chat_ }; builder.add_rule("root", "\"<｜tool▁calls▁begin｜>\" (" + string_join(tool_rules, " | ") + ")" + (inputs.parallel_tool_calls ? "*" : "") + " space"); }, grammar_options); - data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + auto prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.prompt = prompt; data.format = COMMON_CHAT_FORMAT_DEEPSEEK_R1; return data; } @@ -556,10 +579,10 @@ static common_chat_msg common_chat_parse_deepseek_r1(const std::string & input) static common_chat_params common_chat_params_init_firefunction_v2(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { fprintf(stderr, "%s\n", __func__); common_chat_params data; - data.prompt = tmpl.apply(inputs.messages, /* tools= */ nullptr, inputs.add_generation_prompt, { + data.prompt = apply(tmpl, inputs.messages, /* tools= */ nullptr, inputs.add_generation_prompt, { {"datetime", "Jan 29 2025 13:00:00 GMT"}, {"functions", json(inputs.tools.empty() ? "" : inputs.tools.dump(2))}, - }, /* adjust_inputs= */ false); + }); if (!inputs.tools.is_null() && !inputs.tools.empty()) { data.grammar_lazy = inputs.tool_choice != "required"; data.grammar = build_grammar([&](const common_grammar_builder & builder) { @@ -603,7 +626,7 @@ static common_chat_params common_chat_params_init_functionary_v3_2(const common_ // >>>all\nlet's call functions>>>fn1\n{"arg1": 1...}\n>>>fn2\n{"arg1": 1...}... // Using ">>>f1\n", ">>>f2\n"... as trigger words for the grammar common_chat_params data; - data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); data.format = COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2; if (!inputs.tools.is_null() && !inputs.tools.empty()) { data.grammar_lazy = inputs.tool_choice != "required"; @@ -730,7 +753,7 @@ static common_chat_params common_chat_params_init_functionary_v3_1_llama_3_1(con data.grammar_triggers.push_back({"" }; }, grammar_options); - data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); data.format = COMMON_CHAT_FORMAT_HERMES_2_PRO; return data; } @@ -846,7 +869,7 @@ static common_chat_msg common_chat_parse_hermes_2_pro(const std::string & input) static common_chat_params common_chat_params_init_without_tools(const common_chat_template & tmpl, const struct common_chat_inputs & inputs) { common_chat_params data; - data.prompt = tmpl.apply(inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); + data.prompt = apply(tmpl, inputs.messages, inputs.tools.empty() ? json() : inputs.tools, inputs.add_generation_prompt); data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY; data.grammar_lazy = false; if (!inputs.json_schema.is_null()) { diff --git a/common/common.cpp b/common/common.cpp index edba6fb4b..8661e164a 100644 --- a/common/common.cpp +++ b/common/common.cpp @@ -1904,10 +1904,6 @@ common_chat_templates common_chat_templates_from_model(const struct llama_model default_template_src = CHATML_TEMPLATE_SRC; } } - std::string token_bos; - std::string token_eos; - // TODO: update logic that adds BOS and EOS tokens to the tokenized prompt, in favour of the template. -#if 0 auto vocab = llama_model_get_vocab(model); const auto get_token = [&](llama_token token, const char * name, const char * jinja_variable_name) { if (token == LLAMA_TOKEN_NULL) { @@ -1920,9 +1916,8 @@ common_chat_templates common_chat_templates_from_model(const struct llama_model return common_token_to_piece(vocab, token, true); } }; - token_bos = get_token(llama_vocab_bos(vocab), "BOS", "bos_token"); - token_eos = get_token(llama_vocab_eos(vocab), "EOS", "eos_token"); -#endif + auto token_bos = get_token(llama_vocab_bos(vocab), "BOS", "bos_token"); + auto token_eos = get_token(llama_vocab_eos(vocab), "EOS", "eos_token"); try { return { has_explicit_template, diff --git a/common/minja.hpp b/common/minja.hpp index e77eb69d5..c304b5c66 100644 --- a/common/minja.hpp +++ b/common/minja.hpp @@ -2194,7 +2194,7 @@ private: } TemplateTokenVector tokenize() { - static std::regex comment_tok(R"(\{#([-~]?)(.*?)([-~]?)#\})"); + static std::regex comment_tok(R"(\{#([-~]?)([\s\S\r\n]*?)([-~]?)#\})"); static std::regex expr_open_regex(R"(\{\{([-~])?)"); static std::regex block_open_regex(R"(^\{%([-~])?[\s\n\r]*)"); static std::regex block_keyword_tok(R"((if|else|elif|endif|for|endfor|generation|endgeneration|set|endset|block|endblock|macro|endmacro|filter|endfilter|break|continue)\b)"); @@ -2615,6 +2615,7 @@ inline std::shared_ptr Context::builtins() { })); globals.set("join", simple_function("join", { "items", "d" }, [](const std::shared_ptr &, Value & args) { auto do_join = [](Value & items, const std::string & sep) { + if (!items.is_array()) throw std::runtime_error("object is not iterable: " + items.dump()); std::ostringstream oss; auto first = true; for (size_t i = 0, n = items.size(); i < n; ++i) { @@ -2695,6 +2696,10 @@ inline std::shared_ptr Context::builtins() { return Value::callable([=](const std::shared_ptr & context, ArgumentsValue & args) { args.expectArgs(is_select ? "select" : "reject", {2, (std::numeric_limits::max)()}, {0, 0}); auto & items = args.args[0]; + if (items.is_null()) + return Value::array(); + if (!items.is_array()) throw std::runtime_error("object is not iterable: " + items.dump()); + auto filter_fn = context->get(args.args[1]); if (filter_fn.is_null()) throw std::runtime_error("Undefined filter: " + args.args[1].dump()); @@ -2772,6 +2777,7 @@ inline std::shared_ptr Context::builtins() { auto & items = args.args[0]; if (items.is_null()) return Value::array(); + if (!items.is_array()) throw std::runtime_error("object is not iterable: " + items.dump()); auto attr_name = args.args[1].get(); bool has_test = false; diff --git a/examples/run/run.cpp b/examples/run/run.cpp index ca9273155..39353ba30 100644 --- a/examples/run/run.cpp +++ b/examples/run/run.cpp @@ -848,7 +848,15 @@ static int apply_chat_template(const common_chat_template & tmpl, LlamaData & ll }); } try { - auto result = tmpl.apply(messages, /* tools= */ json(), append); + minja::chat_template_inputs tmpl_inputs; + tmpl_inputs.messages = messages; + tmpl_inputs.add_generation_prompt = append; + + minja::chat_template_options tmpl_opts; + tmpl_opts.use_bos_token = false; + tmpl_opts.use_eos_token = false; + + auto result = tmpl.apply(tmpl_inputs, tmpl_opts); llama_data.fmtted.resize(result.size() + 1); memcpy(llama_data.fmtted.data(), result.c_str(), result.size() + 1); return result.size(); diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp index 50bd40738..b78da2cdb 100644 --- a/tests/test-chat.cpp +++ b/tests/test-chat.cpp @@ -18,12 +18,8 @@ using json = nlohmann::ordered_json; static common_chat_msg msg_from_json(const json & message) { - common_chat_msg ret{ - "assistant", - "", - {}, - /* .tool_plan = */ "", - }; + common_chat_msg ret; + ret.role = "assistant"; if (message.contains("content") && !message.at("content").is_null()) { ret.content = message.at("content"); } From 1ec208083cb896dd8772a2f962151fa3d4a74e36 Mon Sep 17 00:00:00 2001 From: SAMI Date: Wed, 5 Feb 2025 14:45:40 +0700 Subject: [PATCH 15/50] llava: add quantization for the visual projector LLAVA, Qwen2VL (#11644) * Added quantization for visual projector * Added README * Fixed the clip quantize implementation in the file * Fixed the gcc warning regarding minor linting * Removed trailing whitespace --- examples/llava/CMakeLists.txt | 7 ++++ examples/llava/README-quantize.md | 44 +++++++++++++++++++++ examples/llava/clip-quantize-cli.cpp | 59 ++++++++++++++++++++++++++++ examples/llava/clip.cpp | 8 ++-- 4 files changed, 113 insertions(+), 5 deletions(-) create mode 100644 examples/llava/README-quantize.md create mode 100644 examples/llava/clip-quantize-cli.cpp diff --git a/examples/llava/CMakeLists.txt b/examples/llava/CMakeLists.txt index 3ce0d60c8..319effd19 100644 --- a/examples/llava/CMakeLists.txt +++ b/examples/llava/CMakeLists.txt @@ -50,3 +50,10 @@ set_target_properties(${TARGET} PROPERTIES OUTPUT_NAME llama-qwen2vl-cli) install(TARGETS ${TARGET} RUNTIME) target_link_libraries(${TARGET} PRIVATE common llava ${CMAKE_THREAD_LIBS_INIT}) target_compile_features(${TARGET} PRIVATE cxx_std_17) + +set(TARGET llama-llava-clip-quantize-cli) +add_executable(${TARGET} clip-quantize-cli.cpp) +set_target_properties(${TARGET} PROPERTIES OUTPUT_NAME llama-llava-clip-quantize-cli) +install(TARGETS ${TARGET} RUNTIME) +target_link_libraries(${TARGET} PRIVATE common llava ${CMAKE_THREAD_LIBS_INIT}) +target_compile_features(${TARGET} PRIVATE cxx_std_17) diff --git a/examples/llava/README-quantize.md b/examples/llava/README-quantize.md new file mode 100644 index 000000000..b931513ab --- /dev/null +++ b/examples/llava/README-quantize.md @@ -0,0 +1,44 @@ +# Quantizing CLIP Visual Projector + +This is the tool for quantizing the CLIP visual projector model. Quantization reduces the precision of the model's weights, which can significantly decrease the model size and improve inference speed, often with minimal impact on performance. + +## Usage + +To quantize a CLIP visual projector model, use the following command: + +```sh +./bin/llama-llava-clip-quantize-cli /path/to/ggml-model-f32.gguf /path/to/ggml-model-quantized.gguf +``` + +After the quantization, the visual projector can be used freely with the existing LLAVA cli (LLAVA, Qwen2VL, etc). + +### Arguments + +- `/path/to/ggml-model-f32.gguf`: The path to the input model file in FP32 or FP16 format. +- `/path/to/ggml-model-quantized.gguf`: The path where the quantized model will be saved. +- ``: The quantization type to apply. This should be an integer corresponding to one of the quantization types defined in the `enum ggml_type`. + +### Quantization Types + +The following quantization types are supported, based on the `enum ggml_type` definition: + +- `2` - `q4_0`: 4-bit quantization with a single scale value. +- `3` - `q4_1`: 4-bit quantization with a separate scale value for each block. +- `6` - `q5_0`: 5-bit quantization with a single scale value. +- `7` - `q5_1`: 5-bit quantization with a separate scale value for each block. +- `8` - `q8_0`: 8-bit quantization with a single scale value. + +### Example + +To quantize a model using the `q4_0` quantization type, you would run: + +```sh +./bin/llama-llava-clip-quantize-cli /path/to/ggml-model-f32.gguf /path/to/ggml-model-quantized.gguf 2 +``` + +This command will generate a quantized model at `/path/to/ggml-model-quantized.gguf` using the `q4_0` quantization method. + +## Notes + +- Quantization can lead to a loss in model accuracy, depending on the chosen quantization type. It is recommended to evaluate the quantized model's performance on your specific task to ensure it meets your requirements. +- The quantized model will typically be smaller in size and faster to run, making it more suitable for deployment in resource-constrained environments. diff --git a/examples/llava/clip-quantize-cli.cpp b/examples/llava/clip-quantize-cli.cpp new file mode 100644 index 000000000..566506954 --- /dev/null +++ b/examples/llava/clip-quantize-cli.cpp @@ -0,0 +1,59 @@ +#include "arg.h" +#include "base64.hpp" +#include "log.h" +#include "common.h" +#include "sampling.h" +#include "clip.h" +#include "llava.h" +#include "llama.h" +#include "ggml.h" + +static void print_usage(int argc, char ** argv) { + (void) argc; + + fprintf(stderr, "usage: %s /path/to/ggml-model-f32.gguf /path/to/ggml-model-quantized.gguf type\n", argv[0]); + fprintf(stderr, " type = 2 - q4_0\n"); + fprintf(stderr, " type = 3 - q4_1\n"); + fprintf(stderr, " type = 6 - q5_0\n"); + fprintf(stderr, " type = 7 - q5_1\n"); + fprintf(stderr, " type = 8 - q8_0\n"); +} + +int main(int argc, char ** argv) { + if (argc != 4) { + print_usage(argc, argv); + return 1; + } + + const std::string fname_inp = argv[1]; + const std::string fname_out = argv[2]; + + const int itype = atoi(argv[3]); + + const int64_t t_main_start_us = ggml_time_us(); + + int64_t t_quantize_us = 0; + + // load the model + { + const int64_t t_start_us = ggml_time_us(); + + if (!clip_model_quantize(fname_inp.c_str(), fname_out.c_str(), itype)) { + fprintf(stderr, "%s: failed to quantize model from '%s'\n", __func__, fname_inp.c_str()); + return 1; + } + + t_quantize_us = ggml_time_us() - t_start_us; + } + + // report timing + { + const int64_t t_main_end_us = ggml_time_us(); + + printf("\n"); + printf("%s: quantize time = %8.2f ms\n", __func__, t_quantize_us / 1000.0f); + printf("%s: total time = %8.2f ms\n", __func__, (t_main_end_us - t_main_start_us) / 1000.0f); + } + + return 0; +} diff --git a/examples/llava/clip.cpp b/examples/llava/clip.cpp index 7367d44cb..271cf2a2a 100644 --- a/examples/llava/clip.cpp +++ b/examples/llava/clip.cpp @@ -2745,10 +2745,8 @@ bool clip_image_batch_encode(clip_ctx * ctx, const int n_threads, const clip_ima } bool clip_model_quantize(const char * fname_inp, const char * fname_out, const int itype) { - ggml_type type = GGML_TYPE_Q4_1; - assert(itype < GGML_TYPE_COUNT); - type = static_cast(itype); + ggml_type type = static_cast(itype); auto * ctx_clip = clip_model_load(fname_inp, 2); @@ -2801,8 +2799,8 @@ bool clip_model_quantize(const char * fname_inp, const char * fname_out, const i } } - // quantize only 2D tensors - quantize &= (ggml_n_dims(cur) == 2); + // quantize only 2D tensors and bigger than block size + quantize &= (ggml_n_dims(cur) == 2) && cur->ne[0] > ggml_blck_size(type); if (quantize) { new_type = type; From fa62da9b2dc03539a30f1306f59c4c6ffbe4f50a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= Date: Wed, 5 Feb 2025 08:58:31 +0100 Subject: [PATCH 16/50] CUDA: support for mat. mul. with ne03 != ne13 (#11656) --- ggml/src/ggml-cuda/ggml-cuda.cu | 27 +++----- ggml/src/ggml-cuda/mmv.cu | 114 ++++++++++++++++++++------------ 2 files changed, 81 insertions(+), 60 deletions(-) diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu index 70a598099..4dbaefdba 100644 --- a/ggml/src/ggml-cuda/ggml-cuda.cu +++ b/ggml/src/ggml-cuda/ggml-cuda.cu @@ -1366,8 +1366,6 @@ static void ggml_cuda_op_mul_mat( const int64_t ne13 = src1->ne[3]; const int64_t nrows1 = ggml_nrows(src1); - GGML_ASSERT(ne03 == ne13); - const int64_t ne0 = dst->ne[0]; const int64_t ne1 = dst->ne[1]; @@ -1381,9 +1379,11 @@ static void ggml_cuda_op_mul_mat( GGML_ASSERT(src1->type == GGML_TYPE_F32 || (src1->ne[2] == 1 && src1->ne[3] == 1)); - GGML_ASSERT(ne12 >= ne02 && ne12 % ne02 == 0); + GGML_ASSERT(ne12 % ne02 == 0); + GGML_ASSERT(ne13 % ne03 == 0); const int64_t i02_divisor = ne12 / ne02; + const int64_t i03_divisor = ne13 / ne03; const size_t src0_ts = ggml_type_size(src0->type); const size_t src0_bs = ggml_blck_size(src0->type); @@ -1399,6 +1399,7 @@ static void ggml_cuda_op_mul_mat( GGML_ASSERT(!(split && ne02 > 1)); GGML_ASSERT(!(split && ne03 > 1)); GGML_ASSERT(!(split && ne02 < ne12)); + GGML_ASSERT(!(split && ne03 < ne13)); ggml_tensor_extra_gpu * src0_extra = split ? (ggml_tensor_extra_gpu *) src0->extra : nullptr; @@ -1562,7 +1563,8 @@ static void ggml_cuda_op_mul_mat( } // for split tensors the data begins at i0 == i0_offset_low - char * src0_dd_i = dev[id].src0_dd + (i0/i02_divisor) * (ne01*ne00*src0_ts)/src0_bs; + const size_t nbytes_src0_matrix = ne01*ne00*src0_ts / src0_bs; + char * src0_dd_i = dev[id].src0_dd + ((i03/i03_divisor)*ne02 + (i02/i02_divisor)) * nbytes_src0_matrix; float * src1_ddf_i = dev[id].src1_ddf + (i0*ne11 + src1_col_0) * ne10; char * src1_ddq_i = dev[id].src1_ddq + src1_ddq_i_offset; float * dst_dd_i = dev[id].dst_dd + (i0*ne1 + src1_col_0) * (dst_on_device ? ne0 : row_diff); @@ -1606,8 +1608,9 @@ static void ggml_cuda_op_mul_mat( CUDA_CHECK(cudaGetLastError()); } - if (src1_col_0 == 0 && !src0_is_contiguous && i02 % i02_divisor == 0) { - CUDA_CHECK(ggml_cuda_cpy_tensor_2d(src0_dd_i, src0, i03, i02/i02_divisor, dev[id].row_low, dev[id].row_high, stream)); + if (src1_col_0 == 0 && !src0_is_contiguous && i03 % i03_divisor == 0 && i02 % i02_divisor == 0) { + CUDA_CHECK(ggml_cuda_cpy_tensor_2d( + src0_dd_i, src0, i03/i03_divisor, i02/i02_divisor, dev[id].row_low, dev[id].row_high, stream)); } // do the computation @@ -1882,7 +1885,7 @@ static void ggml_cuda_mul_mat(ggml_backend_cuda_context & ctx, const ggml_tensor //printf("src0 is contiguous %d, transposed %d, type = %s, name = %s\n", ggml_is_contiguous(src0), ggml_is_transposed(src0), ggml_type_name(src0->type), src0->name); //printf("src1 is contiguous %d, transposed %d, type = %s, name = %s\n", ggml_is_contiguous(src1), ggml_is_transposed(src1), ggml_type_name(src1->type), src1->name); - if (!split && use_mul_mat_vec && dst->ne[3] == 1 && (src0->ne[1] < MMV_MAX_ROWS || any_gpus_without_fp16_mma)) { + if (!split && use_mul_mat_vec && (src0->ne[1] < MMV_MAX_ROWS || any_gpus_without_fp16_mma)) { // the custom F16 vector kernel can be used over batched cuBLAS GEMM // but this is only faster for GPUs without tensor cores or with a thin src0 matrix (particularly KQV in attention) ggml_cuda_mul_mat_vec(ctx, src0, src1, dst); @@ -2216,12 +2219,7 @@ static bool ggml_cuda_compute_forward(ggml_backend_cuda_context & ctx, struct gg ggml_cuda_op_rms_norm_back(ctx, dst); break; case GGML_OP_MUL_MAT: - if (dst->src[0]->ne[3] != dst->src[1]->ne[3]) { - GGML_LOG_ERROR("%s: cannot compute %s: src0->ne[3] = %" PRId64 ", src1->ne[3] = %" PRId64 " - fallback to CPU\n", __func__, dst->name, dst->src[0]->ne[3], dst->src[1]->ne[3]); - return false; - } else { - ggml_cuda_mul_mat(ctx, dst->src[0], dst->src[1], dst); - } + ggml_cuda_mul_mat(ctx, dst->src[0], dst->src[1], dst); break; case GGML_OP_MUL_MAT_ID: ggml_cuda_mul_mat_id(ctx, dst); @@ -2998,9 +2996,6 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g if (b->type == GGML_TYPE_F16 && a->type != GGML_TYPE_F16) { return false; } - if (op->op == GGML_OP_MUL_MAT && a->ne[3] != b->ne[3]) { - return false; - } #ifdef GGML_USE_MUSA if (b->type == GGML_TYPE_F16 && b->ne[2]*b->ne[3] > 1 && !ggml_is_transposed(a) && !ggml_is_transposed(b)) { diff --git a/ggml/src/ggml-cuda/mmv.cu b/ggml/src/ggml-cuda/mmv.cu index 5a9ddd958..f89ed03b5 100644 --- a/ggml/src/ggml-cuda/mmv.cu +++ b/ggml/src/ggml-cuda/mmv.cu @@ -1,18 +1,21 @@ +#include "ggml.h" #include "common.cuh" #include "mmv.cuh" template static __global__ void mul_mat_vec( const T * __restrict__ x, const float * __restrict__ y, float * __restrict__ dst, const int64_t ncols2, const int64_t stride_row, - const int64_t channel_ratio, const int64_t stride_channel_x, const int64_t stride_channel_y, const int64_t stride_channel_dst) { + const int64_t channel_ratio, const int64_t stride_channel_x, const int64_t stride_channel_y, const int64_t stride_channel_dst, + const int64_t sample_ratio, const int64_t stride_sample_x, const int64_t stride_sample_y, const int64_t stride_sample_dst) { const int64_t row = blockIdx.x; - const int64_t channel = blockIdx.z; + const int64_t channel = blockIdx.y; + const int64_t sample = blockIdx.z; const int tid = threadIdx.x; constexpr int warp_size = ggml_cuda_get_physical_warp_size(); - x += (channel/channel_ratio)*stride_channel_x + row*stride_row; - y += channel *stride_channel_y; - dst += channel *stride_channel_dst; + x += (sample/sample_ratio)*stride_sample_x + (channel/channel_ratio)*stride_channel_x + row*stride_row; + y += sample *stride_sample_y + channel *stride_channel_y; + dst += sample *stride_sample_dst + channel *stride_channel_dst; const float2 * y2 = (const float2 *) y; @@ -91,12 +94,15 @@ template static void launch_mul_mat_vec_cuda( const T * x, const float * y, float * dst, const int64_t ncols, const int64_t nrows, const int64_t stride_row, const int64_t nchannels_x, const int64_t nchannels_y, - const int64_t stride_channel_x, const int64_t stride_channel_y, const int64_t stride_channel_dst, + const int64_t stride_channel_x, const int64_t stride_channel_y, const int64_t stride_channel_dst, const int64_t nsamples_x, + const int64_t nsamples_y, const int64_t stride_sample_x, const int64_t stride_sample_y, const int64_t stride_sample_dst, cudaStream_t stream) { GGML_ASSERT(ncols % 2 == 0); GGML_ASSERT(stride_row % 2 == 0); GGML_ASSERT(nchannels_y % nchannels_x == 0); + GGML_ASSERT(nsamples_y % nsamples_x == 0); const int64_t channel_ratio = nchannels_y / nchannels_x; + const int64_t sample_ratio = nsamples_y / nsamples_x; int device; int warp_size; @@ -118,40 +124,48 @@ static void launch_mul_mat_vec_cuda( } const int smem = warp_size*sizeof(float); - const dim3 block_nums(nrows, 1, nchannels_y); + const dim3 block_nums(nrows, nchannels_y, nsamples_y); const dim3 block_dims(block_size_best, 1, 1); switch (block_size_best) { case 32: { mul_mat_vec<<>> - (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst); + (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst, + sample_ratio, stride_sample_x, stride_sample_y, stride_sample_dst); } break; case 64: { mul_mat_vec<<>> - (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst); + (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst, + sample_ratio, stride_sample_x, stride_sample_y, stride_sample_dst); } break; case 96: { mul_mat_vec<<>> - (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst); + (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst, + sample_ratio, stride_sample_x, stride_sample_y, stride_sample_dst); } break; case 128: { mul_mat_vec<<>> - (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst); + (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst, + sample_ratio, stride_sample_x, stride_sample_y, stride_sample_dst); } break; case 160: { mul_mat_vec<<>> - (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst); + (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst, + sample_ratio, stride_sample_x, stride_sample_y, stride_sample_dst); } break; case 192: { mul_mat_vec<<>> - (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst); + (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst, + sample_ratio, stride_sample_x, stride_sample_y, stride_sample_dst); } break; case 224: { mul_mat_vec<<>> - (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst); + (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst, + sample_ratio, stride_sample_x, stride_sample_y, stride_sample_dst); } break; case 256: { mul_mat_vec<<>> - (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst); + (x, y, dst, ncols/2, stride_row, channel_ratio, stride_channel_x, stride_channel_y, stride_channel_dst, + sample_ratio, stride_sample_x, stride_sample_y, stride_sample_dst); } break; default: { GGML_ABORT("fatal error"); @@ -163,16 +177,19 @@ template static void mul_mat_vec_cuda( const T * x, const float * y, float * dst, const int64_t ncols, const int64_t nrows, const int64_t stride_row, const int64_t nchannels_x, const int64_t nchannels_y, - const int64_t stride_channel_x, const int64_t stride_channel_y, const int64_t stride_channel_dst, + const int64_t stride_channel_x, const int64_t stride_channel_y, const int64_t stride_channel_dst, const int64_t nsamples_x, + const int64_t nsamples_y, const int64_t stride_sample_x, const int64_t stride_sample_y, const int64_t stride_sample_dst, enum ggml_prec prec, cudaStream_t stream) { switch (prec) { case GGML_PREC_DEFAULT: { - launch_mul_mat_vec_cuda(x, y, dst, ncols, nrows, stride_row, nchannels_x, nchannels_y, - stride_channel_x, stride_channel_y, stride_channel_dst, stream); + launch_mul_mat_vec_cuda + (x, y, dst, ncols, nrows, stride_row, nchannels_x, nchannels_y, stride_channel_x, stride_channel_y, stride_channel_dst, + nsamples_x, nsamples_y, stride_sample_x, stride_sample_y, stride_sample_dst, stream); } break; case GGML_PREC_F32: { - launch_mul_mat_vec_cuda(x, y, dst, ncols, nrows, stride_row, nchannels_x, nchannels_y, - stride_channel_x, stride_channel_y, stride_channel_dst, stream); + launch_mul_mat_vec_cuda + (x, y, dst, ncols, nrows, stride_row, nchannels_x, nchannels_y, stride_channel_x, stride_channel_y, stride_channel_dst, + nsamples_x, nsamples_y, stride_sample_x, stride_sample_y, stride_sample_dst, stream); } break; } } @@ -181,10 +198,19 @@ void ggml_cuda_mul_mat_vec(ggml_backend_cuda_context & ctx, const ggml_tensor * GGML_ASSERT(src1->type == GGML_TYPE_F32); GGML_ASSERT(dst->type == GGML_TYPE_F32); - const int64_t ne00 = src0->ne[0]; - const int64_t ne01 = src0->ne[1]; + GGML_TENSOR_BINARY_OP_LOCALS; - GGML_ASSERT(src1->ne[1] == 1); + const size_t ts_src0 = ggml_type_size(src0->type); + const size_t ts_src1 = ggml_type_size(src1->type); + const size_t ts_dst = ggml_type_size(dst->type); + + GGML_ASSERT(ne11 == 1); + GGML_ASSERT(ne12 == ne2); + GGML_ASSERT(ne13 == ne3); + + GGML_ASSERT(nb00 == ts_src0); + GGML_ASSERT(nb10 == ts_src1); + GGML_ASSERT(nb0 == ts_dst); const int cc = ggml_cuda_info().devices[ggml_cuda_get_device()].cc; const enum ggml_prec prec = fast_fp16_available(cc) ? ggml_prec(dst->op_params[0]) : GGML_PREC_F32; @@ -192,29 +218,22 @@ void ggml_cuda_mul_mat_vec(ggml_backend_cuda_context & ctx, const ggml_tensor * const float * src1_d = (const float *) src1->data; float * dst_d = (float *) dst->data; - const int64_t ne02 = src0->ne[2]; - const int64_t ne12 = src1->ne[2]; - GGML_ASSERT(dst->ne[2] == ne12); - - GGML_ASSERT(src0->ne[3] == 1); - GGML_ASSERT(src1->ne[3] == 1); - GGML_ASSERT( dst->ne[3] == 1); - - const int64_t stride_row = src0->nb[1] / ggml_type_size(src0->type); - const int64_t channel_stride_x = src0->nb[2] / ggml_type_size(src0->type); - const int64_t channel_stride_y = src1->nb[2] / ggml_type_size(src1->type); - const int64_t channel_stride_dst = dst->nb[2] / ggml_type_size( dst->type); + const int64_t s01 = src0->nb[1] / ts_src0; + const int64_t s02 = src0->nb[2] / ts_src0; + const int64_t s12 = src1->nb[2] / ts_src1; + const int64_t s2 = dst->nb[2] / ts_dst; + const int64_t s03 = src0->nb[3] / ts_src0; + const int64_t s13 = src1->nb[3] / ts_src1; + const int64_t s3 = dst->nb[3] / ts_dst; switch (src0->type) { case GGML_TYPE_F16: { const half * src0_d = (const half *) src0->data; - mul_mat_vec_cuda(src0_d, src1_d, dst_d, ne00, ne01, stride_row, ne02, ne12, - channel_stride_x, channel_stride_y, channel_stride_dst, prec, ctx.stream()); + mul_mat_vec_cuda(src0_d, src1_d, dst_d, ne00, ne01, s01, ne02, ne12, s02, s12, s2, ne03, ne13, s03, s13, s3, prec, ctx.stream()); } break; case GGML_TYPE_BF16: { const nv_bfloat16 * src0_d = (const nv_bfloat16 *) src0->data; - mul_mat_vec_cuda(src0_d, src1_d, dst_d, ne00, ne01, stride_row, ne02, ne12, - channel_stride_x, channel_stride_y, channel_stride_dst, prec, ctx.stream()); + mul_mat_vec_cuda(src0_d, src1_d, dst_d, ne00, ne01, s01, ne02, ne12, s02, s12, s2, ne03, ne13, s03, s13, s3, prec, ctx.stream()); } break; default: GGML_ABORT("unsupported type: %s", ggml_type_name(src0->type)); @@ -243,20 +262,27 @@ void ggml_cuda_op_mul_mat_vec( const int64_t stride_row = ne00; const int64_t nchannels_x = 1; const int64_t nchannels_y = 1; - const int64_t channel_stride_x = 0; - const int64_t channel_stride_y = 0; - const int64_t channel_stride_dst = 0; + const int64_t stride_channel_x = 0; + const int64_t stride_channel_y = 0; + const int64_t stride_channel_dst = 0; + const int64_t nsamples_x = 1; + const int64_t nsamples_y = 1; + const int64_t stride_sample_x = 0; + const int64_t stride_sample_y = 0; + const int64_t stride_sample_dst = 0; switch (src0->type) { case GGML_TYPE_F16: { const half * src0_d = (const half *) src0_dd_i; mul_mat_vec_cuda(src0_d, src1_ddf_i, dst_dd_i, ne00, row_diff, stride_row, - nchannels_x, nchannels_y, channel_stride_x, channel_stride_y, channel_stride_dst, prec, stream); + nchannels_x, nchannels_y, stride_channel_x, stride_channel_y, stride_channel_dst, + nsamples_x, nsamples_y, stride_sample_x, stride_sample_y, stride_sample_dst, prec, stream); } break; case GGML_TYPE_BF16: { const nv_bfloat16 * src0_d = (const nv_bfloat16 *) src0_dd_i; mul_mat_vec_cuda(src0_d, src1_ddf_i, dst_dd_i, ne00, row_diff, stride_row, - nchannels_x, nchannels_y, channel_stride_x, channel_stride_y, channel_stride_dst, prec, stream); + nchannels_x, nchannels_y, stride_channel_x, stride_channel_y, stride_channel_dst, + nsamples_x, nsamples_y, stride_sample_x, stride_sample_y, stride_sample_dst, prec, stream); } break; default: GGML_ABORT("unsupported type: %s", ggml_type_name(src0->type)); From d774ab3acc4fee41fbed6dbfc192b57d5f79f34b Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Wed, 5 Feb 2025 10:57:42 +0200 Subject: [PATCH 17/50] metal : adjust support conditions for norm operators (#11671) cont #11659 ggml-ci --- ggml/src/ggml-metal/ggml-metal.m | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/ggml/src/ggml-metal/ggml-metal.m b/ggml/src/ggml-metal/ggml-metal.m index 0a264be37..c63dbad20 100644 --- a/ggml/src/ggml-metal/ggml-metal.m +++ b/ggml/src/ggml-metal/ggml-metal.m @@ -1204,13 +1204,13 @@ static bool ggml_metal_supports_op(const struct ggml_backend_metal_device_contex case GGML_OP_SUM_ROWS: case GGML_OP_SOFT_MAX: case GGML_OP_GROUP_NORM: - return has_simdgroup_reduction; + return has_simdgroup_reduction && ggml_is_contiguous(op->src[0]); case GGML_OP_RMS_NORM: return has_simdgroup_reduction && (op->ne[0] % 4 == 0 && ggml_is_contiguous_1(op->src[0])); case GGML_OP_ARGMAX: return true; case GGML_OP_NORM: - return has_simdgroup_reduction && ggml_is_contiguous(op->src[0]); + return has_simdgroup_reduction && (op->ne[0] % 4 == 0 && ggml_is_contiguous_1(op->src[0])); case GGML_OP_ROPE: { const int mode = ((const int32_t *) op->op_params)[2]; From c3db0480bb820e120249014b380e1f4badf2a1c1 Mon Sep 17 00:00:00 2001 From: Matvey Soloviev Date: Thu, 6 Feb 2025 01:55:25 +0100 Subject: [PATCH 18/50] readme : add link to Autopen under UIs (#11684) Autopen (https://github.com/blackhole89/autopen) is a graphical text editor that uses llama.cpp to tokenize the buffer on the fly, score the buffer, visualise token logits and allow you to switch back and forth between different possible completions at any point. It hopefully meets the criteria for inclusion, as the dependency on llama.cpp is stated prominently. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index d68330d2a..11f3d0286 100644 --- a/README.md +++ b/README.md @@ -189,6 +189,7 @@ Instructions for adding support for new models: [HOWTO-add-model.md](docs/develo - [ramalama](https://github.com/containers/ramalama) (MIT) - [semperai/amica](https://github.com/semperai/amica) (MIT) - [withcatai/catai](https://github.com/withcatai/catai) (MIT) +- [Autopen](https://github.com/blackhole89/autopen) (GPL) From 902368a06b915b860236cfc97ff885b2aceae256 Mon Sep 17 00:00:00 2001 From: Charles Duffy Date: Wed, 5 Feb 2025 19:52:31 -0600 Subject: [PATCH 19/50] metal : avoid breaking build when metal API predates TARGET_OS_VISION (#11690) Avoids breakage in nix flake build introduced by b0569130c5e9c671152c913d82803b7c2f014ff9 --- ggml/src/ggml-metal/ggml-metal.m | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/ggml/src/ggml-metal/ggml-metal.m b/ggml/src/ggml-metal/ggml-metal.m index c63dbad20..944d90af3 100644 --- a/ggml/src/ggml-metal/ggml-metal.m +++ b/ggml/src/ggml-metal/ggml-metal.m @@ -19,6 +19,10 @@ // max number of MTLCommandBuffer used to submit a graph for processing #define GGML_METAL_MAX_COMMAND_BUFFERS 8 +#ifndef TARGET_OS_VISION +#define TARGET_OS_VISION 0 +#endif + // create residency sets only on macOS >= 15.0 #if TARGET_OS_OSX && __MAC_OS_X_VERSION_MAX_ALLOWED >= 150000 || \ TARGET_OS_IOS && __IPHONE_OS_VERSION_MAX_ALLOWED >= 180000 || \ From 1b598b30581bad59e5af86c94362f9a30f261fac Mon Sep 17 00:00:00 2001 From: Jeff Bolz Date: Thu, 6 Feb 2025 00:02:18 -0600 Subject: [PATCH 20/50] vulkan: use smaller combined allocations to avoid fragmentation (#11551) --- ggml/src/ggml-alloc.c | 14 +------------- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 19 +++++++++++++++++-- 2 files changed, 18 insertions(+), 15 deletions(-) diff --git a/ggml/src/ggml-alloc.c b/ggml/src/ggml-alloc.c index 9a3bf9f29..7244a9cbb 100644 --- a/ggml/src/ggml-alloc.c +++ b/ggml/src/ggml-alloc.c @@ -989,19 +989,7 @@ ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_conte this_size = GGML_PAD(ggml_backend_buft_get_alloc_size(buft, t), alignment); } - if (this_size > max_size) { - GGML_LOG_ERROR("%s: tensor %s is too large to fit in a %s buffer (tensor size: %zu, max buffer size: %zu)\n", - __func__, t->name, - ggml_backend_buft_name(buft), - this_size, max_size); - for (size_t i = 0; i < n_buffers; i++) { - ggml_backend_buffer_free(buffers[i]); - } - free(buffers); - return NULL; - } - - if ((cur_buf_size + this_size) > max_size) { + if (cur_buf_size > 0 && (cur_buf_size + this_size) > max_size) { // allocate tensors in the current buffer if (!alloc_tensor_range(ctx, first, t, buft, cur_buf_size, &buffers, &n_buffers)) { return NULL; diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index 48ac489a6..2e1bcf691 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -156,6 +156,7 @@ struct vk_device_struct { vk::PhysicalDeviceProperties properties; std::string name; uint64_t max_memory_allocation_size; + uint64_t suballocation_block_size; bool fp16; bool pipeline_robustness; vk::Device device; @@ -2269,6 +2270,7 @@ static vk_device ggml_vk_get_device(size_t idx) { device->physical_device.getProperties2(&props2); device->properties = props2.properties; + device->vendor_id = device->properties.vendorID; const char* GGML_VK_FORCE_MAX_ALLOCATION_SIZE = getenv("GGML_VK_FORCE_MAX_ALLOCATION_SIZE"); @@ -2280,7 +2282,20 @@ static vk_device ggml_vk_get_device(size_t idx) { device->max_memory_allocation_size = props3.maxMemoryAllocationSize; } - device->vendor_id = device->properties.vendorID; + const char* GGML_VK_SUBALLOCATION_BLOCK_SIZE = getenv("GGML_VK_SUBALLOCATION_BLOCK_SIZE"); + + if (GGML_VK_SUBALLOCATION_BLOCK_SIZE != nullptr) { + device->suballocation_block_size = std::stoul(GGML_VK_SUBALLOCATION_BLOCK_SIZE); +#if defined(_WIN32) + } else if (device->vendor_id == VK_VENDOR_ID_NVIDIA) { + // Limit batching of allocations to 1GB by default to avoid fragmentation issues + device->suballocation_block_size = 1024*1024*1024; +#endif + } else { + device->suballocation_block_size = device->max_memory_allocation_size; + } + device->suballocation_block_size = std::min(device->suballocation_block_size, device->max_memory_allocation_size); + device->subgroup_size = subgroup_props.subgroupSize; device->uma = device->properties.deviceType == vk::PhysicalDeviceType::eIntegratedGpu; if (sm_builtins) { @@ -7561,7 +7576,7 @@ static size_t ggml_backend_vk_buffer_type_get_alignment(ggml_backend_buffer_type static size_t ggml_backend_vk_buffer_type_get_max_size(ggml_backend_buffer_type_t buft) { ggml_backend_vk_buffer_type_context * ctx = (ggml_backend_vk_buffer_type_context *) buft->context; - return ctx->device->max_memory_allocation_size; + return ctx->device->suballocation_block_size; } static size_t ggml_backend_vk_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, const ggml_tensor * tensor) { From 8a7e3bf17aa5a8412854787746c92a28623a8925 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9my=20O?= Date: Thu, 6 Feb 2025 07:09:59 +0100 Subject: [PATCH 21/50] vulkan: initial support for IQ4_XS quantization (#11501) --- ggml/src/ggml-vulkan/ggml-vulkan.cpp | 25 ++++++++++++ .../vulkan-shaders/copy_from_quant.comp | 2 +- .../vulkan-shaders/copy_to_quant.comp | 2 +- .../vulkan-shaders/dequant_funcs.comp | 38 ++++++++++++++++++- .../vulkan-shaders/dequant_funcs_cm2.comp | 23 +++++++++++ .../vulkan-shaders/dequant_iq4_xs.comp | 34 +++++++++++++++++ .../vulkan-shaders/flash_attn_cm2.comp | 2 +- .../vulkan-shaders/get_rows_quant.comp | 2 +- .../vulkan-shaders/mul_mat_vec.comp | 2 +- .../ggml-vulkan/vulkan-shaders/mul_mm.comp | 21 +++++++++- .../vulkan-shaders/mul_mm_cm2.comp | 2 +- .../src/ggml-vulkan/vulkan-shaders/types.comp | 28 +++++++++++--- .../vulkan-shaders/vulkan-shaders-gen.cpp | 1 + 13 files changed, 169 insertions(+), 13 deletions(-) create mode 100644 ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq4_xs.comp diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp index 2e1bcf691..1c99ebe2e 100644 --- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp +++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp @@ -1622,6 +1622,7 @@ static void ggml_vk_load_shaders(vk_device& device) { //CREATE_FA(GGML_TYPE_IQ2_S, iq2_s) //CREATE_FA(GGML_TYPE_IQ3_XXS, iq3_xxs) //CREATE_FA(GGML_TYPE_IQ3_S, iq3_s) + //CREATE_FA(GGML_TYPE_IQ4_XS, iq4_xs) CREATE_FA(GGML_TYPE_IQ4_NL, iq4_nl) #undef CREATE_FA @@ -1655,6 +1656,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ2_S].f16acc, matmul_iq2_s_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ3_XXS].f16acc, matmul_iq3_xxs_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ3_S].f16acc, matmul_iq3_s_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) + CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ4_XS].f16acc, matmul_iq4_xs_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) CREATE_MM(pipeline_dequant_mul_mat_mat_f16[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f16, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3) CREATE_MM2(pipeline_matmul_id_f16, matmul_id_f16, wg_denoms, warptile, vk_mat_mat_id_push_constants, 4) @@ -1673,6 +1675,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f16acc, matmul_id_iq2_s_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f16acc, matmul_id_iq3_xxs_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f16acc, matmul_id_iq3_s_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f16acc, matmul_id_iq4_xs_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f16, , mmqid_wg_denoms, warptile_mmqid, vk_mat_mat_id_push_constants, 4) #undef CREATE_MM #undef CREATE_MM2 @@ -1726,6 +1729,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_S].f16acc, matmul_iq2_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_XXS].f16acc, matmul_iq3_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_S].f16acc, matmul_iq3_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS].f16acc, matmul_iq4_xs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); } else { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0].f16acc, matmul_q4_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); @@ -1744,6 +1748,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_S].f16acc, matmul_iq2_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_XXS].f16acc, matmul_iq3_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_S].f16acc, matmul_iq3_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS].f16acc, matmul_iq4_xs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); } @@ -1770,6 +1775,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f16acc, matmul_id_iq2_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f16acc, matmul_id_iq3_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f16acc, matmul_id_iq3_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f16acc, matmul_id_iq4_xs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } else { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0].f16acc, matmul_id_q4_0_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); @@ -1788,6 +1794,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f16acc, matmul_id_iq2_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f16acc, matmul_id_iq3_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f16acc, matmul_id_iq3_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f16acc, matmul_id_iq4_xs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } } @@ -1837,6 +1844,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_S].f16acc, matmul_iq2_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_XXS].f16acc, matmul_iq3_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_S].f16acc, matmul_iq3_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS].f16acc, matmul_iq4_xs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f16acc, matmul_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); // If there's not enough shared memory for row_ids and the result tile, don't create these pipelines. @@ -1861,6 +1869,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f16acc, matmul_id_iq2_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f16acc, matmul_id_iq3_xxs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f16acc, matmul_id_iq3_s_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f16acc, matmul_id_iq4_xs_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f16acc, matmul_id_iq4_nl_f32, _f16acc, mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } #undef CREATE_MM2 @@ -1902,6 +1911,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ2_S].f32acc, matmul_iq2_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_XXS].f32acc, matmul_iq3_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ3_S].f32acc, matmul_iq3_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); + CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_XS].f32acc, matmul_iq4_xs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); CREATE_MM(pipeline_dequant_mul_mat_mat[GGML_TYPE_IQ4_NL].f32acc, matmul_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_push_constants, 3, ); // If there's not enough shared memory for row_ids and the result tile, don't create these pipelines. @@ -1926,6 +1936,7 @@ static void ggml_vk_load_shaders(vk_device& device) { CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ2_S].f32acc, matmul_id_iq2_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_XXS].f32acc, matmul_id_iq3_xxs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ3_S].f32acc, matmul_id_iq3_s_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); + CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_XS].f32acc, matmul_id_iq4_xs_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); CREATE_MM(pipeline_dequant_mul_mat_mat_id[GGML_TYPE_IQ4_NL].f32acc, matmul_id_iq4_nl_f32, , mmq_wg_denoms, warptile_mmq, vk_mat_mat_id_push_constants, 4, _id); } #undef CREATE_MM @@ -1962,6 +1973,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ2_S][i], "mul_mat_vec_iq2_s_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq2_s_f32_f32_len, mul_mat_vec_iq2_s_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ3_XXS][i], "mul_mat_vec_iq3_xxs_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq3_xxs_f32_f32_len, mul_mat_vec_iq3_xxs_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ3_S][i], "mul_mat_vec_iq3_s_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq3_s_f32_f32_len, mul_mat_vec_iq3_s_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ4_XS][i], "mul_mat_vec_iq4_xs_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq4_xs_f32_f32_len, mul_mat_vec_iq4_xs_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_IQ4_NL][i], "mul_mat_vec_iq4_nl_f32_f32_"+std::to_string(i+1), mul_mat_vec_iq4_nl_f32_f32_len, mul_mat_vec_iq4_nl_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {subgroup_size_16, 2*rm_stdq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F32 ][i], "mul_mat_vec_f32_f16_f32_"+std::to_string(i+1), mul_mat_vec_f32_f16_f32_len, mul_mat_vec_f32_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {2, 1, 1}, {device->subgroup_size, 2, i+1}, 1); @@ -1981,6 +1993,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ2_S][i], "mul_mat_vec_iq2_s_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq2_s_f16_f32_len, mul_mat_vec_iq2_s_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ3_XXS][i], "mul_mat_vec_iq3_xxs_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq3_xxs_f16_f32_len, mul_mat_vec_iq3_xxs_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ3_S][i], "mul_mat_vec_iq3_s_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq3_s_f16_f32_len, mul_mat_vec_iq3_s_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ4_XS][i], "mul_mat_vec_iq4_xs_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq4_xs_f16_f32_len, mul_mat_vec_iq4_xs_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq, i+1}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_IQ4_NL][i], "mul_mat_vec_iq4_nl_f16_f32_"+std::to_string(i+1), mul_mat_vec_iq4_nl_f16_f32_len, mul_mat_vec_iq4_nl_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {2*rm_stdq, 1, 1}, {subgroup_size_16, 2*rm_stdq, i+1}, 1, true); } @@ -2001,6 +2014,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ2_S], "mul_mat_vec_id_iq2_s_f32", mul_mat_vec_id_iq2_s_f32_len, mul_mat_vec_id_iq2_s_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ3_XXS], "mul_mat_vec_id_iq3_xxs_f32", mul_mat_vec_id_iq3_xxs_f32_len, mul_mat_vec_id_iq3_xxs_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ3_S], "mul_mat_vec_id_iq3_s_f32", mul_mat_vec_id_iq3_s_f32_len, mul_mat_vec_id_iq3_s_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); + ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ4_XS], "mul_mat_vec_id_iq4_xs_f32", mul_mat_vec_id_iq4_xs_f32_len, mul_mat_vec_id_iq4_xs_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {rm_kq, 1, 1}, {subgroup_size_16, rm_kq}, 1, true); ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_IQ4_NL], "mul_mat_vec_id_iq4_nl_f32", mul_mat_vec_id_iq4_nl_f32_len, mul_mat_vec_id_iq4_nl_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {2*rm_stdq, 1, 1}, {subgroup_size_16, 2*rm_stdq}, 1, true); // dequant shaders @@ -2020,6 +2034,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ2_S], "dequant_iq2_s", dequant_iq2_s_len, dequant_iq2_s_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ3_XXS], "dequant_iq3_xxs", dequant_iq3_xxs_len, dequant_iq3_xxs_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ3_S], "dequant_iq3_s", dequant_iq3_s_len, dequant_iq3_s_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ4_XS], "dequant_iq4_xs", dequant_iq4_xs_len, dequant_iq4_xs_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_IQ4_NL], "dequant_iq4_nl", dequant_iq4_nl_len, dequant_iq4_nl_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1); // get_rows @@ -2035,6 +2050,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ2_S], "get_rows_iq2_s", get_rows_iq2_s_len, get_rows_iq2_s_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ3_XXS], "get_rows_iq3_xxs", get_rows_iq3_xxs_len, get_rows_iq3_xxs_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ3_S], "get_rows_iq3_s", get_rows_iq3_s_len, get_rows_iq3_s_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ4_XS], "get_rows_iq4_xs", get_rows_iq4_xs_len, get_rows_iq4_xs_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_IQ4_NL], "get_rows_iq4_nl", get_rows_iq4_nl_len, get_rows_iq4_nl_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F32 ], "get_rows_f32_f32", get_rows_f32_f32_len, get_rows_f32_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1); @@ -2049,6 +2065,7 @@ static void ggml_vk_load_shaders(vk_device& device) { ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ2_S], "get_rows_iq2_s_f32", get_rows_iq2_s_f32_len, get_rows_iq2_s_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ3_XXS], "get_rows_iq3_xxs_f32", get_rows_iq3_xxs_f32_len, get_rows_iq3_xxs_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ3_S], "get_rows_iq3_s_f32", get_rows_iq3_s_f32_len, get_rows_iq3_s_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); + ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ4_XS], "get_rows_iq4_xs_f32", get_rows_iq4_xs_f32_len, get_rows_iq4_xs_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_IQ4_NL], "get_rows_iq4_nl_f32", get_rows_iq4_nl_f32_len, get_rows_iq4_nl_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1); ggml_vk_create_pipeline(device, device->pipeline_matmul_split_k_reduce, "split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 2 * sizeof(uint32_t), {256 * 4, 1, 1}, {}, 1); @@ -2995,6 +3012,7 @@ static vk_pipeline ggml_vk_get_to_fp16(ggml_backend_vk_context * ctx, ggml_type case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -3048,6 +3066,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_conte case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -3084,6 +3103,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context * case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -3132,6 +3152,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_co case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -3163,6 +3184,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec_id(ggml_backend_vk_context case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -8037,6 +8059,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -8110,6 +8133,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm //case GGML_TYPE_IQ2_S: //case GGML_TYPE_IQ3_XXS: //case GGML_TYPE_IQ3_S: + //case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: break; default: @@ -8132,6 +8156,7 @@ static bool ggml_backend_vk_device_supports_op(ggml_backend_dev_t dev, const ggm case GGML_TYPE_IQ2_S: case GGML_TYPE_IQ3_XXS: case GGML_TYPE_IQ3_S: + case GGML_TYPE_IQ4_XS: case GGML_TYPE_IQ4_NL: return true; default: diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp b/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp index aeae5400d..9c9fe9626 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/copy_from_quant.comp @@ -12,7 +12,7 @@ layout(local_size_x = 1, local_size_y = 1, local_size_z = 1) in; #endif void main() { -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); if (gl_LocalInvocationIndex.x != 0) { return; diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp b/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp index d4b068e61..660811086 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/copy_to_quant.comp @@ -217,7 +217,7 @@ void quantize(uint dst_idx, uint src_idx) #endif void main() { -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); if (gl_LocalInvocationIndex.x != 0) { return; diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.comp index ee6877531..ecfdbfaa8 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs.comp @@ -304,6 +304,42 @@ vec4 dequantize4(uint ib, uint iqs, uint a_offset) { } #endif +#if defined(DATA_A_IQ4_XS) +vec2 dequantize(uint ib, uint iqs, uint a_offset) { + const uint ib32 = iqs / 32; + const uint iq = 16 * ib32 + (iqs % 16); + + const uint sl = (data_a[a_offset + ib].scales_l[ib32/2] >> (4 * (ib32 & 1))) & 0xF; + const uint sh = (data_a[a_offset + ib].scales_h >> (2 * ib32)) & 3; + const uint qshift = (iqs & 16) >> 2; + u8vec2 qs = u8vec2(data_a[a_offset + ib].qs[iq], data_a[a_offset + ib].qs[iq + 1]); + qs = (qs >> qshift) & uint8_t(0xF); + + const float dl = float(int(sl | (sh << 4)) - 32); + return dl * vec2(kvalues_iq4nl[qs.x], kvalues_iq4nl[qs.y]); +} +vec4 dequantize4(uint ib, uint iqs, uint a_offset) { + const uint ib32 = iqs / 32; + const uint iq = 16 * ib32 + (iqs % 16); + + const uint sl = (data_a[a_offset + ib].scales_l[ib32/2] >> (4 * (ib32 & 1))) & 0xF; + const uint sh = (data_a[a_offset + ib].scales_h >> (2 * ib32)) & 3; + const uint qshift = (iqs & 16) >> 2; + u8vec4 qs = u8vec4( + data_a[a_offset + ib].qs[iq + 0], + data_a[a_offset + ib].qs[iq + 1], + data_a[a_offset + ib].qs[iq + 2], + data_a[a_offset + ib].qs[iq + 3] + ); + qs = (qs >> qshift) & uint8_t(0xF); + + const float dl = float(int(sl | (sh << 4)) - 32); + return dl * vec4( + kvalues_iq4nl[qs.x], kvalues_iq4nl[qs.y], + kvalues_iq4nl[qs.z], kvalues_iq4nl[qs.w]); +} +#endif + #if defined(DATA_A_IQ4_NL) vec2 dequantize(uint ib, uint iqs, uint a_offset) { const uint vui = uint(data_a[a_offset + ib].qs[iqs]); @@ -321,7 +357,7 @@ vec2 get_dm(uint ib, uint a_offset) { } #endif -#if defined(DATA_A_Q4_0) || defined(DATA_A_Q5_0) || defined(DATA_A_Q8_0) || defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_Q4_0) || defined(DATA_A_Q5_0) || defined(DATA_A_Q8_0) || defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) vec2 get_dm(uint ib, uint a_offset) { return vec2(float(data_a[a_offset + ib].d), 0); } diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp index 974efd3f9..78c3bddf2 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp @@ -454,6 +454,27 @@ float16_t dequantFuncIQ3_S(const in decodeBufIQ3_S bl, const in uint blockCoords } #endif +#if defined(DATA_A_IQ4_XS) +layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ4_XS { + block_iq4_xs block; +}; + +float16_t dequantFuncIQ4_XS(const in decodeBufIQ4_XS bl, const in uint blockCoords[2], const in uint coordInBlock[2]) +{ + const float16_t d = bl.block.d; + const uint idx = coordInBlock[1]; + + const uint ib32 = (idx & 0xE0) >> 5; // 0..7 + + const uint sl = (bl.block.scales_l[ib32/2] >> (4 * (ib32 & 1))) & 0xF; + const uint sh = ((bl.block.scales_h) >> (2 * ib32)) & 3; + const uint qshift = (idx & 16) >> 2; + const uint q = (bl.block.qs[16 * ib32 + (idx % 16)] >> qshift) & 0xF; + + float16_t ret = d * float16_t(int(sl | (sh << 4)) - 32) * float16_t(kvalues_iq4nl[q]); + return ret; +} +#endif #if defined(DATA_A_IQ4_NL) layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ4_NL { @@ -504,6 +525,8 @@ float16_t dequantFuncIQ4_NL(const in decodeBufIQ4_NL bl, const in uint blockCoor #define dequantFuncA dequantFuncIQ3_XXS #elif defined(DATA_A_IQ3_S) #define dequantFuncA dequantFuncIQ3_S +#elif defined(DATA_A_IQ4_XS) +#define dequantFuncA dequantFuncIQ4_XS #elif defined(DATA_A_IQ4_NL) #define dequantFuncA dequantFuncIQ4_NL #endif diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq4_xs.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq4_xs.comp new file mode 100644 index 000000000..f930852a4 --- /dev/null +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_iq4_xs.comp @@ -0,0 +1,34 @@ +#version 450 + +#include "dequant_head.comp" + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {block_iq4_xs data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; + +void main() { + // Each thread handles 1 subblock (1 scale and 32 quantized values) + const uint ib = gl_WorkGroupID.x * 32 + gl_LocalInvocationID.x / 8; + + init_iq_shmem(gl_WorkGroupSize); + + if (ib >= p.nel / 256) { + return; + } + + const uint ib32 = gl_LocalInvocationID.x % 8; + + const float d = float(data_a[ib].d); + // Scales are 6 bits + const uint scale = ((data_a[ib].scales_l[ib32/2] >> (4 * (ib32 & 1))) & 0xF) + | (((data_a[ib].scales_h >> (2 * ib32)) & 3) << 4); + const float dl = d * (int(scale) - 32); + + const uint b_idx = 256 * ib + 32 * ib32; + const uint q_idx = 16 * ib32; + [[unroll]] for (uint l = 0; l < 16; ++l) { + data_b[b_idx + l + 0] = D_TYPE(dl * kvalues_iq4nl[data_a[ib].qs[q_idx + l] & 0xF]); + data_b[b_idx + l + 16] = D_TYPE(dl * kvalues_iq4nl[data_a[ib].qs[q_idx + l] >> 4]); + } +} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp index 043a53023..ba88ce79a 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/flash_attn_cm2.comp @@ -104,7 +104,7 @@ ACC_TYPE Max(const in uint32_t row, const in uint32_t col, const in ACC_TYPE ele #endif void main() { -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); #endif diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/get_rows_quant.comp b/ggml/src/ggml-vulkan/vulkan-shaders/get_rows_quant.comp index 09dc43d8d..c16a2a9f6 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/get_rows_quant.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/get_rows_quant.comp @@ -12,7 +12,7 @@ void main() { const uint i11 = (gl_GlobalInvocationID.z)/p.ne12; const uint i12 = (gl_GlobalInvocationID.z)%p.ne12; -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); #endif diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec.comp index 48156e7ba..d7e99727d 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec.comp @@ -133,7 +133,7 @@ void compute_outputs(const uint32_t first_row, const uint32_t num_rows) { void main() { const uint first_row = NUM_ROWS * (gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z); -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); #endif diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp index d0559aac8..33b2234e7 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm.comp @@ -95,7 +95,7 @@ shared ACC_TYPE coopmat_stage[TM * TN * NUM_WARPS]; #endif void main() { -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); #endif @@ -547,6 +547,25 @@ void main() { const uint32_t grid = iq3s_grid[qs | ((qh << (8 - (iqs % 8))) & 256)] >> (16 * (idx % 2)); const vec2 v = db * vec2(sign01) * vec2(unpack8(grid).xy); + buf_a[buf_idx ] = FLOAT_TYPE(v.x); + buf_a[buf_idx + 1] = FLOAT_TYPE(v.y); +#elif defined(DATA_A_IQ4_XS) + const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a; + const uint buf_idx = (loadc_a + l) * SHMEM_STRIDE + loadr_a * LOAD_VEC_A; + + const uint ib = idx / 128; // 2 values per idx + const uint ib32 = (idx % 128) / 16; // 0..7 + const uint iq = 16 * ib32 + 2 * (idx % 8); + + const uint sl = (data_a[ib].scales_l[ib32/2] >> (4 * (ib32 & 1))) & 0xF; + const uint sh = ((data_a[ib].scales_h) >> (2 * ib32)) & 3; + const uint qshift = (idx & 8) >> 1; + u8vec2 qs = u8vec2(data_a[ib].qs[iq], data_a[ib].qs[iq + 1]); + qs = (qs >> qshift) & uint8_t(0xF); + + const float d = float(data_a[ib].d); + const vec2 v = d * float(int(sl | (sh << 4)) - 32) * vec2(kvalues_iq4nl[qs.x], kvalues_iq4nl[qs.y]); + buf_a[buf_idx ] = FLOAT_TYPE(v.x); buf_a[buf_idx + 1] = FLOAT_TYPE(v.y); #elif defined(DATA_A_IQ4_NL) diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp index 27c5d68b3..7e29bbfec 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/mul_mm_cm2.comp @@ -106,7 +106,7 @@ D_TYPE perElemOpD(const in uint32_t r, const in uint32_t c, const in D_TYPE elem #endif void main() { -#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_NL) +#if defined(DATA_A_IQ2_XXS) || defined(DATA_A_IQ2_XS) || defined(DATA_A_IQ2_S) || defined(DATA_A_IQ3_XXS) || defined(DATA_A_IQ3_S) || defined(DATA_A_IQ4_XS) || defined(DATA_A_IQ4_NL) init_iq_shmem(gl_WorkGroupSize); #endif diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/types.comp b/ggml/src/ggml-vulkan/vulkan-shaders/types.comp index 9e56a3530..db643a54c 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/types.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/types.comp @@ -1026,6 +1026,23 @@ void init_iq_shmem(uvec3 wgsize) #define A_TYPE_PACKED16 block_iq3_s_packed16 #endif +#define QUANT_K_IQ4_XS 256 +#define QUANT_R_IQ4_XS 1 + +struct block_iq4_xs +{ + float16_t d; + uint16_t scales_h; + uint8_t scales_l[QUANT_K_IQ4_XS/64]; + uint8_t qs[QUANT_K_IQ4_XS/2]; +}; + +#if defined(DATA_A_IQ4_XS) +#define QUANT_K QUANT_K_IQ4_XS +#define QUANT_R QUANT_R_IQ4_XS +#define A_TYPE block_iq4_xs +#endif + #define QUANT_K_IQ4_NL 32 #define QUANT_R_IQ4_NL 2 @@ -1042,7 +1059,13 @@ struct block_iq4_nl_packed16 }; #if defined(DATA_A_IQ4_NL) +#define QUANT_K QUANT_K_IQ4_NL +#define QUANT_R QUANT_R_IQ4_NL +#define A_TYPE block_iq4_nl +#define A_TYPE_PACKED16 block_iq4_nl_packed16 +#endif +#if defined(DATA_A_IQ4_NL) || defined(DATA_A_IQ4_XS) const int8_t kvalues_iq4nl_const[16] = { int8_t(-127), int8_t(-104), int8_t(-83), int8_t(-65), int8_t(-49), int8_t(-35), int8_t(-22), int8_t(-10), int8_t(1), int8_t(13), int8_t(25), int8_t(38), int8_t(53), int8_t(69), int8_t(89), int8_t(113) @@ -1058,11 +1081,6 @@ void init_iq_shmem(uvec3 wgsize) } barrier(); } - -#define QUANT_K QUANT_K_IQ4_NL -#define QUANT_R QUANT_R_IQ4_NL -#define A_TYPE block_iq4_nl -#define A_TYPE_PACKED16 block_iq4_nl_packed16 #endif #endif // !defined(GGML_TYPES_COMP) diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp index 93ddbfadc..77e7e1148 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/vulkan-shaders-gen.cpp @@ -60,6 +60,7 @@ const std::vector type_names = { "iq2_s", "iq3_xxs", "iq3_s", + "iq4_xs", "iq4_nl" }; From 2c6c8df56d8a3edd657b9a295e95d469a37f0044 Mon Sep 17 00:00:00 2001 From: Jeff Bolz Date: Thu, 6 Feb 2025 00:15:30 -0600 Subject: [PATCH 22/50] vulkan: optimize coopmat2 iq2/iq3 callbacks (#11521) * vulkan: optimize coopmat2 iq2/iq3 callbacks * build: trigger CI on GLSL compute shader changes --- .github/workflows/build.yml | 4 +- .../vulkan-shaders/dequant_funcs_cm2.comp | 79 +++++++++---------- 2 files changed, 40 insertions(+), 43 deletions(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 8f9c82f87..6841ba589 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -10,10 +10,10 @@ on: push: branches: - master - paths: ['.github/workflows/build.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.cuh', '**/*.swift', '**/*.m', '**/*.metal'] + paths: ['.github/workflows/build.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.cuh', '**/*.swift', '**/*.m', '**/*.metal', '**/*.comp'] pull_request: types: [opened, synchronize, reopened] - paths: ['.github/workflows/build.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.cuh', '**/*.swift', '**/*.m', '**/*.metal'] + paths: ['.github/workflows/build.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.cuh', '**/*.swift', '**/*.m', '**/*.metal', '**/*.comp'] concurrency: group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }} diff --git a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp index 78c3bddf2..0eba37420 100644 --- a/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp +++ b/ggml/src/ggml-vulkan/vulkan-shaders/dequant_funcs_cm2.comp @@ -323,15 +323,16 @@ float16_t dequantFuncIQ2_XXS(const in decodeBufIQ2_XXS bl, const in uint blockCo const uint8_t qs = bl.block.qs[iqs]; const uint signscale = pack32(u16vec2(bl16.block.qs[4*ib32+2], bl16.block.qs[4*ib32+3])); - const float16_t dscale = bl.block.d * 0.25hf * (0.5hf + float16_t(signscale >> 28)); + const float dscale = float(bl.block.d) * 0.25 * (0.5 + float(signscale >> 28)); uint sign = bitfieldExtract(signscale, 7 * int(ib8), 7); sign |= bitCount(sign) << 7; - const uint8_t g = unpack8(iq2xxs_grid[qs][(idx & 4) >> 2])[idx & 3]; + uint g2 = iq2xxs_grid[qs][(idx & 4) >> 2]; + g2 >>= (idx & 2) * 8; + const vec2 g = vec2(unpack8(g2)); - float16_t ret = dscale * float16_t(g) * ((sign & (1 << (idx & 7))) != 0 ? -1.0hf : 1.0hf); - - return ret; + vec2 ret = dscale * g * ((sign & (1 << (idx & 7))) != 0 ? -1.0hf : 1.0hf); + return float16_t(ret[idx & 1]); } #endif @@ -350,14 +351,16 @@ float16_t dequantFuncIQ2_XS(const in decodeBufIQ2_XS bl, const in uint blockCoor const uint iqs = (idx & 0xF8) >> 3; // 0..63 const uint16_t qs = bl.block.qs[iqs]; - const float16_t dscale = bl.block.d * 0.25hf * (0.5hf + float16_t((bl.block.scales[is] >> sshift) & 0xF)); + const float dscale = float(bl.block.d) * 0.25 * (0.5 + float((bl.block.scales[is] >> sshift) & 0xF)); uint sign = uint(qs >> 9); sign |= bitCount(sign) << 7; - const uint8_t g = unpack8(iq2xs_grid[qs & 0x1FF][(idx & 4) >> 2])[idx & 3]; + uint g2 = iq2xs_grid[qs & 0x1FF][(idx & 4) >> 2]; + g2 >>= (idx & 2) * 8; + const vec2 g = vec2(unpack8(g2)); - float16_t ret = dscale * float16_t(g) * ((sign & (1 << (idx & 7))) != 0 ? -1.0hf : 1.0hf); - return ret; + vec2 ret = dscale * g * ((sign & (1 << (idx & 7))) != 0 ? -1.0hf : 1.0hf); + return float16_t(ret[idx & 1]); } #endif @@ -369,24 +372,23 @@ layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ2 float16_t dequantFuncIQ2_S(const in decodeBufIQ2_S bl, const in uint blockCoords[2], const in uint coordInBlock[2]) { uint idx = coordInBlock[1]; - uint lsb = idx & 1; - idx /= 2; - const uint ib8 = (idx % 128) / 4; // 0..31 - const uint ib32 = ib8 / 4; // 0..7 + const uint ib32 = (idx & 0xE0) >> 5; // 0..7 + const uint ib8 = (idx & 0xF8) >> 3; // 0..31 + const uint qhshift = 2 * (ib8 % 4); - const uint scale = (bl.block.scales[ib32] >> (2 * (ib8 & 2))) & 0xf; + const uint scale = (bl.block.scales[ib32] >> ((idx & 0x10) >> 2)) & 0xf; const uint qs = bl.block.qs[ib8]; const uint qh = bl.block.qh[ib32]; - const uint qhshift = 2 * (ib8 % 4); - const uint sign = bl.block.qs[QUANT_K / 8 + ib8] >> (2 * (idx % 4)); + const uint sign = bl.block.qs[QUANT_K / 8 + ib8] >> (idx & 0x6); const float d = float(bl.block.d); const float db = d * 0.25 * (0.5 + scale); - const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(int8_t(sign << 1), int8_t(sign)))); - const uint16_t grid = unpack16(iq2s_grid[qs | ((qh << (8 - qhshift)) & 0x300)][(idx & 2) >> 1])[idx & 1]; - const vec2 v = db * vec2(sign01) * vec2(unpack8(grid)); - return float16_t(v[lsb]); + const ivec2 sign01 = 1 - (2 & ivec2(sign << 1, sign)); + uint g2 = iq2s_grid[qs | ((qh << (8 - qhshift)) & 0x300)][(idx & 4) >> 2]; + g2 >>= (idx & 2) * 8; + const vec2 v = db * vec2(sign01) * vec2(unpack8(g2)); + return float16_t(v[idx & 1]); } #endif @@ -401,28 +403,25 @@ layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ3 float16_t dequantFuncIQ3_XXS(const in decodeBufIQ3_XXS bl, const in uint blockCoords[2], const in uint coordInBlock[2]) { + decodeBufIQ3_XXS_packed16 bl16 = decodeBufIQ3_XXS_packed16(bl); uint idx = coordInBlock[1]; - uint lsb = idx & 1; - idx /= 2; - const uint iqs = (idx % 128) / 2; // 0..63 - const uint is = QUANT_K / 4 + 4 * (iqs / 8); // 8 values + const uint iqs = (idx & 0xFC) >> 2; // 0..63 + const uint is = QUANT_K / 4 + ((idx & 0xE0) >> 3);// 8 values const float d = float(bl.block.d); const uint qs = bl.block.qs[iqs]; - const uint signs = pack32(u8vec4( - bl.block.qs[is+0], - bl.block.qs[is+1], - bl.block.qs[is+2], - bl.block.qs[is+3] + const uint signs = pack32(u16vec2( + bl16.block.qs[is/2+0], + bl16.block.qs[is/2+1] )); const float db = d * 0.5 * (0.5 + (signs >> 28)); const uint32_t sign7 = bitfieldExtract(signs, 7 * (int(iqs / 2) % 4), 7); - const uint sign = (sign7 | (bitCount(sign7) << 7)) >> (2 * (idx % 4)); - const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(int8_t(sign << 1), int8_t(sign)))); - const uint grid = iq3xxs_grid[qs] >> (16 * (idx & 1)); + const uint sign = (sign7 | (bitCount(sign7) << 7)) >> (idx & 0x6); + const ivec2 sign01 = ivec2(1 - (2 & ivec2(sign << 1, sign))); + const uint grid = iq3xxs_grid[qs] >> (16 * ((idx & 2) >> 1)); const vec2 v = db * vec2(sign01) * vec2(unpack8(grid).xy); - return float16_t(v[lsb]); + return float16_t(v[idx & 1]); } #endif @@ -434,23 +433,21 @@ layout(buffer_reference, std430, buffer_reference_align = 2) buffer decodeBufIQ3 float16_t dequantFuncIQ3_S(const in decodeBufIQ3_S bl, const in uint blockCoords[2], const in uint coordInBlock[2]) { uint idx = coordInBlock[1]; - uint lsb = idx & 1; - idx /= 2; - const uint iqs = (idx % 128) / 2; // 0..63 - const uint iqh = iqs / 8; + const uint iqs = (idx & 0xFC) >> 2; // 0..63 + const uint iqh = (idx & 0xE0) >> 5; const float d = float(bl.block.d); const uint qs = bl.block.qs[iqs]; const uint qh = bl.block.qh[iqh]; - const int8_t sign = int8_t(bl.block.signs[iqs / 2] >> (2 * (idx % 4))); + const int8_t sign = int8_t(bl.block.signs[iqs / 2] >> (idx & 0x6)); const uint scale = bl.block.scales[iqs / 16]; - const i8vec2 sign01 = i8vec2(1 - (2 & i8vec2(sign << 1, sign))); + const ivec2 sign01 = ivec2(1 - (2 & ivec2(sign << 1, sign))); const float db = d * (1 + 2 * ((scale >> (4 * (iqh & 1))) & 0xf)); - const uint32_t grid = iq3s_grid[qs | ((qh << (8 - (iqs % 8))) & 256)] >> (16 * (idx % 2)); + const uint32_t grid = iq3s_grid[qs | ((qh << (8 - (iqs % 8))) & 256)] >> ((idx & 2) << 3); const vec2 v = db * vec2(sign01) * vec2(unpack8(grid).xy); - return float16_t(v[lsb]); + return float16_t(v[idx & 1]); } #endif From 8d4d2be143a3919c3d194b9bf7a221e50abed893 Mon Sep 17 00:00:00 2001 From: junchao-zhao <68935141+junchao-loongson@users.noreply.github.com> Date: Thu, 6 Feb 2025 17:20:00 +0800 Subject: [PATCH 23/50] ggml : fix LoongArch compile error with 128-bit SIMD (#11701) --- ggml/src/ggml-cpu/ggml-cpu-quants.c | 169 +++++++++++++++------------- 1 file changed, 91 insertions(+), 78 deletions(-) diff --git a/ggml/src/ggml-cpu/ggml-cpu-quants.c b/ggml/src/ggml-cpu/ggml-cpu-quants.c index 88303ff0e..72ec58cee 100644 --- a/ggml/src/ggml-cpu/ggml-cpu-quants.c +++ b/ggml/src/ggml-cpu/ggml-cpu-quants.c @@ -297,6 +297,90 @@ static const uint64_t table_b2b_0[1 << 8] = { B8(00, 10) }; // ( b) << 4 static const uint64_t table_b2b_1[1 << 8] = { B8(10, 00) }; // (!b) << 4 #endif +#if defined(__loongarch_sx) + +static __m128i lsx_packs_w(__m128i a, __m128i b) { + __m128i tmp, tmp1; + tmp = __lsx_vsat_w(a, 15); + tmp1 = __lsx_vsat_w(b, 15); + return __lsx_vpickev_h(tmp1, tmp); +} + +static __m128i lsx_packs_h(__m128i a, __m128i b) { + __m128i tmp, tmp1; + tmp = __lsx_vsat_h(a, 7); + tmp1 = __lsx_vsat_h(b, 7); + return __lsx_vpickev_b(tmp1, tmp); +} + +static __m128i lsx_packus_h(__m128i a, __m128i b) { + __m128i tmp, tmp1; + tmp = __lsx_vsat_hu(a, 7); + tmp1 = __lsx_vsat_hu(b, 7); + return __lsx_vpickev_b(tmp1, tmp); +} + +static __m128i lsx_maddubs_h(__m128i a, __m128i b) { + __m128i tmp1, tmp2; + tmp1 = __lsx_vmulwev_h_b(a, b); + tmp2 = __lsx_vmulwod_h_b(a, b); + return __lsx_vsadd_h(tmp1, tmp2); +} + +static __m128i lsx_madd_h(__m128i a, __m128i b) { + __m128i tmp1, tmp2; + tmp1 = __lsx_vmulwev_w_h(a, b); + tmp2 = __lsx_vmulwod_w_h(a, b); + return __lsx_vadd_w(tmp1, tmp2); +} + +static __m128i lsx_set_w(int32_t a, int32_t b, int32_t c, int32_t d) { + v4i32 __ret = {d, c, b, a}; + return (__m128i)__ret; +} + +static __m128i lsx_shuffle_b(__m128i a, __m128i b) { + __m128i mask_f, zero, tmp0, tmp2, mask; + int f = 0x8f; + mask_f = __lsx_vreplgr2vr_b(f); + zero = __lsx_vldi(0); + tmp0 = __lsx_vand_v(b, mask_f); // get mask with low 4 bit and sign bits + tmp0 = __lsx_vori_b(tmp0, 0x10); // make each mask or with 0x10 prepare for positive + mask = __lsx_vsle_b(zero, tmp0); // if mask >= 0, set mask + tmp2 = __lsx_vand_v(tmp0, mask); // maskout the in2 < ones + return __lsx_vshuf_b(a, zero, tmp2); +} + +static __m128i lsx_hadd_h(__m128i a, __m128i b) { + __m128i tmp1 = __lsx_vpickev_h(b, a); + __m128i tmp2 = __lsx_vpickod_h(b, a); + return __lsx_vadd_h(tmp1, tmp2); +} + +static __m128i lsx_hadd_w(__m128i a, __m128i b) { + __m128i tmp1 = __lsx_vpickev_w(b, a); + __m128i tmp2 = __lsx_vpickod_w(b, a); + return __lsx_vadd_w(tmp1, tmp2); +} + +static __m128 lsx_hadd_s(__m128 a, __m128 b) { + __m128 tmp1 = (__m128)__lsx_vpickev_w((__m128i)b, (__m128i)a); + __m128 tmp2 = (__m128)__lsx_vpickod_w((__m128i)b, (__m128i)a); + + return __lsx_vfadd_s(tmp1, tmp2); +} + +static inline float hsum_float_4x4(const __m128 a, const __m128 b, const __m128 c, const __m128 d) { + __m128 res_0 =lsx_hadd_s(a, b); + __m128 res_1 =lsx_hadd_s(c, d); + __m128 res =lsx_hadd_s(res_0, res_1); + res =lsx_hadd_s(res, res); + res =lsx_hadd_s(res, res); + + return ((v4f32)res)[0]; +} +#endif + #if defined(__loongarch_asx) #ifdef __clang__ @@ -395,11 +479,6 @@ static __m256i lasx_set_w(int e7, int e6, int e5, int e4, int e3, int e2, int e1 return (__m256i)__ret; } -static __m128i lsx_set_w(int32_t a, int32_t b, int32_t c, int32_t d) { - v4i32 __ret = {d, c, b, a}; - return (__m128i)__ret; -} - static __m256i lasx_set_d(int64_t a, int64_t b, int64_t c, int64_t d) { v4i64 __ret = {d, c, b, a}; return (__m256i)__ret; @@ -409,18 +488,6 @@ static __m256i lasx_insertf128( __m128i x, __m128i y) { return lasx_set_q(x, y); } -static __m128i lsx_shuffle_b(__m128i a, __m128i b) { - __m128i mask_f, zero, tmp0, tmp2, mask; - int f = 0x8f; - mask_f = __lsx_vreplgr2vr_b(f); - zero = __lsx_vldi(0); - tmp0 = __lsx_vand_v(b, mask_f); // get mask with low 4 bit and sign bits - tmp0 = __lsx_vori_b(tmp0, 0x10); // make each mask or with 0x10 prepare for positive - mask = __lsx_vsle_b(zero, tmp0); // if mask >= 0, set mask - tmp2 = __lsx_vand_v(tmp0, mask); // maskout the in2 < ones - return __lsx_vshuf_b(a, zero, tmp2); -} - static __m256i lasx_shuffle_b(__m256i a, __m256i b) { __m256i mask_f, zero, tmp0, tmp2, mask; int f = 0x8f; @@ -482,25 +549,6 @@ static __m128 lasx_extractf128( __m256 a, int pos) { return ret; } -static __m128i lsx_hadd_h(__m128i a, __m128i b) { - __m128i tmp1 = __lsx_vpickev_h(b, a); - __m128i tmp2 = __lsx_vpickod_h(b, a); - return __lsx_vadd_h(tmp1, tmp2); -} - -static __m128i lsx_hadd_w(__m128i a, __m128i b) { - __m128i tmp1 = __lsx_vpickev_w(b, a); - __m128i tmp2 = __lsx_vpickod_w(b, a); - return __lsx_vadd_w(tmp1, tmp2); -} - -static __m128 lsx_hadd_s(__m128 a, __m128 b) { - __m128 tmp1 = (__m128)__lsx_vpickev_w((__m128i)b, (__m128i)a); - __m128 tmp2 = (__m128)__lsx_vpickod_w((__m128i)b, (__m128i)a); - - return __lsx_vfadd_s(tmp1, tmp2); -} - static __m256i lasx_maddubs_h(__m256i a, __m256i b) { __m256i tmp1, tmp2; tmp1 = __lasx_xvmulwev_h_b(a, b); @@ -529,42 +577,6 @@ static __m256i lasx_packs_h(__m256i a, __m256i b) { return __lasx_xvpickev_b(tmp1, tmp); } -static __m128i lsx_packs_w(__m128i a, __m128i b) { - __m128i tmp, tmp1; - tmp = __lsx_vsat_w(a, 15); - tmp1 = __lsx_vsat_w(b, 15); - return __lsx_vpickev_h(tmp1, tmp); -} - -static __m128i lsx_packs_h(__m128i a, __m128i b) { - __m128i tmp, tmp1; - tmp = __lsx_vsat_h(a, 7); - tmp1 = __lsx_vsat_h(b, 7); - return __lsx_vpickev_b(tmp1, tmp); -} - -static __m128i lsx_packus_h(__m128i a, __m128i b) { - __m128i tmp, tmp1; - tmp = __lsx_vsat_hu(a, 7); - tmp1 = __lsx_vsat_hu(b, 7); - return __lsx_vpickev_b(tmp1, tmp); -} - - -static __m128i lsx_maddubs_h(__m128i a, __m128i b) { - __m128i tmp1, tmp2; - tmp1 = __lsx_vmulwev_h_b(a, b); - tmp2 = __lsx_vmulwod_h_b(a, b); - return __lsx_vsadd_h(tmp1, tmp2); -} - -static __m128i lsx_madd_h(__m128i a, __m128i b) { - __m128i tmp1, tmp2; - tmp1 = __lsx_vmulwev_w_h(a, b); - tmp2 = __lsx_vmulwod_w_h(a, b); - return __lsx_vadd_w(tmp1, tmp2); -} - // multiply int8_t, add results pairwise twice static inline __m128i mul_sum_i8_pairs(const __m128i x, const __m128i y) { // Get absolute values of x vectors @@ -2232,21 +2244,22 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r } sumf = hsum_float_8(acc); + #elif defined(__loongarch_sx) // set constants const __m128i low_mask = __lsx_vreplgr2vr_b(0xF); const __m128i off = __lsx_vreplgr2vr_b(8); // Initialize accumulator with zeros - __m128 acc_0 = __lsx_vldi(0); - __m128 acc_1 = __lsx_vldi(0); - __m128 acc_2 = __lsx_vldi(0); - __m128 acc_3 = __lsx_vldi(0); + __m128 acc_0 = (__m128)__lsx_vldi(0); + __m128 acc_1 = (__m128)__lsx_vldi(0); + __m128 acc_2 = (__m128)__lsx_vldi(0); + __m128 acc_3 = (__m128)__lsx_vldi(0); for (; ib + 1 < nb; ib += 2) { // Compute combined scale for the block 0 and 1 - const __m128 d_0_1 = __lsx_vreplgr2vr_w( GGML_FP16_TO_FP32(x[ib].d) * GGML_FP16_TO_FP32(y[ib].d) ); + const __m128 d_0_1 = (__m128)__lsx_vreplgr2vr_w( GGML_FP16_TO_FP32(x[ib].d) * GGML_FP16_TO_FP32(y[ib].d) ); const __m128i tmp_0_1 = __lsx_vld((const __m128i *)x[ib].qs, 0); @@ -2264,7 +2277,7 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r //_mm_prefetch(&y[ib] + 2 * sizeof(block_q8_0), _MM_HINT_T0); // Compute combined scale for the block 2 and 3 - const __m128 d_2_3 = __lsx_vreplgr2vr_w( GGML_FP16_TO_FP32(x[ib + 1].d) * GGML_FP16_TO_FP32(y[ib + 1].d) ); + const __m128 d_2_3 = (__m128)__lsx_vreplgr2vr_w( GGML_FP16_TO_FP32(x[ib + 1].d) * GGML_FP16_TO_FP32(y[ib + 1].d) ); const __m128i tmp_2_3 = __lsx_vld((const __m128i *)x[ib + 1].qs, 0); From c0d4843225eed38903ea71ef302a02fa0b27f048 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Adrien=20Gallou=C3=ABt?= Date: Thu, 6 Feb 2025 12:08:13 +0100 Subject: [PATCH 24/50] build : fix llama.pc (#11658) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: Adrien Gallouët --- CMakeLists.txt | 2 +- cmake/llama.pc.in | 10 +++++----- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index 74b48d24d..7b2a1845e 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -233,4 +233,4 @@ configure_file(cmake/llama.pc.in @ONLY) install(FILES "${CMAKE_CURRENT_BINARY_DIR}/llama.pc" - DESTINATION lib/pkgconfig) + DESTINATION ${CMAKE_INSTALL_LIBDIR}/pkgconfig) diff --git a/cmake/llama.pc.in b/cmake/llama.pc.in index 0b2b6bcfa..6fb58b5f6 100644 --- a/cmake/llama.pc.in +++ b/cmake/llama.pc.in @@ -1,10 +1,10 @@ prefix=@CMAKE_INSTALL_PREFIX@ -exec_prefix=${prefix} -libdir=${exec_prefix}/lib -includedir=${prefix}/include +exec_prefix=@CMAKE_INSTALL_PREFIX@ +libdir=@CMAKE_INSTALL_FULL_LIBDIR@ +includedir=@CMAKE_INSTALL_FULL_INCLUDEDIR@ Name: llama Description: Port of Facebook's LLaMA model in C/C++ -Version: @PROJECT_VERSION@ -Libs: -L${libdir} -lggml -lggml-base -lllama +Version: @LLAMA_INSTALL_VERSION@ +Libs: -L${libdir} -lggml -lggml-base -lllama Cflags: -I${includedir} From 9dd7a0390feffcc1f4b17eb7692a6e43030d85af Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Thu, 6 Feb 2025 13:41:37 +0200 Subject: [PATCH 25/50] llama : add log about loading model tensors (#11699) --- src/llama-model.cpp | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/llama-model.cpp b/src/llama-model.cpp index 0487c978b..e30db66e9 100644 --- a/src/llama-model.cpp +++ b/src/llama-model.cpp @@ -1275,6 +1275,8 @@ bool llama_model::load_tensors(llama_model_loader & ml) { const bool use_mmap_buffer = true; + LLAMA_LOG_INFO("%s: loading model tensors, this can take a while... (mmap = %s)\n", __func__, use_mmap_buffer ? "true" : "false"); + // build a list of buffer types for the CPU and GPU devices pimpl->cpu_buft_list = make_cpu_buft_list(devices); for (auto * dev : devices) { From 194b2e69f8da3a22395c74fd9acd6d5835437b96 Mon Sep 17 00:00:00 2001 From: Akarshan Biswas Date: Thu, 6 Feb 2025 17:12:35 +0530 Subject: [PATCH 26/50] SYCL: Adjust support condition for norm operators (#11674) SYCL does not support non contiguous tensors for norm operations --- ggml/src/ggml-sycl/ggml-sycl.cpp | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/ggml/src/ggml-sycl/ggml-sycl.cpp b/ggml/src/ggml-sycl/ggml-sycl.cpp index 2984ed82e..aab34a752 100644 --- a/ggml/src/ggml-sycl/ggml-sycl.cpp +++ b/ggml/src/ggml-sycl/ggml-sycl.cpp @@ -4537,14 +4537,17 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g case GGML_OP_VIEW: case GGML_OP_PERMUTE: case GGML_OP_TRANSPOSE: - case GGML_OP_NORM: case GGML_OP_ADD: case GGML_OP_ADD1: case GGML_OP_LOG: case GGML_OP_SUB: case GGML_OP_MUL: case GGML_OP_DIV: + return true; + case GGML_OP_NORM: case GGML_OP_RMS_NORM: + case GGML_OP_GROUP_NORM: + return ggml_is_contiguous(op->src[0]); case GGML_OP_SCALE: case GGML_OP_SQR: case GGML_OP_SQRT: @@ -4576,7 +4579,6 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g case GGML_OP_SUM_ROWS: case GGML_OP_ARGSORT: case GGML_OP_ACC: - case GGML_OP_GROUP_NORM: case GGML_OP_UPSCALE: case GGML_OP_PAD: case GGML_OP_LEAKY_RELU: From 9ab42dc722ad19a12af80f38a06474d498f96da3 Mon Sep 17 00:00:00 2001 From: Tei Home Date: Thu, 6 Feb 2025 20:16:15 +0800 Subject: [PATCH 27/50] docs: update fedora cuda guide for 12.8 release (#11393) * docs: update fedora cuda guide for 12.8 release * docs: build cuda update --- docs/build.md | 61 ++++++++++++++--- docs/cuda-fedora.md | 159 ++++++++++++++++---------------------------- 2 files changed, 109 insertions(+), 111 deletions(-) diff --git a/docs/build.md b/docs/build.md index dd6495028..afb7a0402 100644 --- a/docs/build.md +++ b/docs/build.md @@ -125,21 +125,66 @@ For detailed info, please refer to [llama.cpp for SYCL](./backend/SYCL.md). ## CUDA -This provides GPU acceleration using an NVIDIA GPU. Make sure to have the CUDA toolkit installed. You can download it from your Linux distro's package manager (e.g. `apt install nvidia-cuda-toolkit`) or from the [NVIDIA developer site](https://developer.nvidia.com/cuda-downloads). +This provides GPU acceleration using an NVIDIA GPU. Make sure to have the [CUDA toolkit](https://developer.nvidia.com/cuda-toolkit) installed. -If you are using Fedora (using Fedora Workstation, or an 'Atomic' variant such as Silverblue), or would like to set up CUDA in a toolbox, please consider our [Fedora CUDA guide](./cuda-fedora.md). Unfortunately, the process is not as simple as one might expect. +#### Download directly from NVIDIA +You may find the official downloads here: [NVIDIA developer site](https://developer.nvidia.com/cuda-downloads). -- Using `CMake`: - ```bash - cmake -B build -DGGML_CUDA=ON - cmake --build build --config Release - ``` +#### Compile and run inside a Fedora Toolbox Container +We also have a [guide](./cuda-fedora.md) for setting up CUDA toolkit in a Fedora [toolbox container](https://containertoolbx.org/). -The environment variable [`CUDA_VISIBLE_DEVICES`](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars) can be used to specify which GPU(s) will be used. +**Recommended for:** + +- ***Particularly*** *convenient* for users of [Atomic Desktops for Fedora](https://fedoraproject.org/atomic-desktops/); such as: [Silverblue](https://fedoraproject.org/atomic-desktops/silverblue/) and [Kinoite](https://fedoraproject.org/atomic-desktops/kinoite/). +- Toolbox is installed by default: [Fedora Workstation](https://fedoraproject.org/workstation/) or [Fedora KDE Plasma Desktop](https://fedoraproject.org/spins/kde). +- *Optionally* toolbox packages are available: [Arch Linux](https://archlinux.org/), [Red Hat Enterprise Linux >= 8.5](https://www.redhat.com/en/technologies/linux-platforms/enterprise-linux), or [Ubuntu](https://ubuntu.com/download) + + +### Compilation +```bash +cmake -B build -DGGML_CUDA=ON +cmake --build build --config Release +``` + +### Override Compute Capability Specifications + +If `nvcc` cannot detect your gpu, you may get compile-warnings such as: + ```text +nvcc warning : Cannot find valid GPU for '-arch=native', default arch is used +``` + +To override the `native` GPU detection: + +#### 1. Take note of the `Compute Capability` of your NVIDIA devices: ["CUDA: Your GPU Compute > Capability"](https://developer.nvidia.com/cuda-gpus). + +```text +GeForce RTX 4090 8.9 +GeForce RTX 3080 Ti 8.6 +GeForce RTX 3070 8.6 +``` + +#### 2. Manually list each varying `Compute Capability` in the `CMAKE_CUDA_ARCHITECTURES` list. + +```bash +cmake -B build -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES="86;89" +``` + +### Runtime CUDA environmental variables + +You may set the [cuda environmental variables](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars) at runtime. + +```bash +# Use `CUDA_VISIBLE_DEVICES` to hide the first compute device. +CUDA_VISIBLE_DEVICES="-0" ./build/bin/llama-server --model /srv/models/llama.gguf +``` + +### Unified Memory The environment variable `GGML_CUDA_ENABLE_UNIFIED_MEMORY=1` can be used to enable unified memory in Linux. This allows swapping to system RAM instead of crashing when the GPU VRAM is exhausted. In Windows this setting is available in the NVIDIA control panel as `System Memory Fallback`. +### Performance Tuning + The following compilation options are also available to tweak performance: | Option | Legal values | Default | Description | diff --git a/docs/cuda-fedora.md b/docs/cuda-fedora.md index b993386c8..9c88b7694 100644 --- a/docs/cuda-fedora.md +++ b/docs/cuda-fedora.md @@ -1,17 +1,16 @@ # Setting Up CUDA on Fedora In this guide we setup [Nvidia CUDA](https://docs.nvidia.com/cuda/) in a toolbox container. This guide is applicable for: + - [Fedora Workstation](https://fedoraproject.org/workstation/) - [Atomic Desktops for Fedora](https://fedoraproject.org/atomic-desktops/) - [Fedora Spins](https://fedoraproject.org/spins) -- [Other Distributions](https://containertoolbx.org/distros/), including `Red Hat Enterprise Linux >= 8.`, `Arch Linux`, and `Ubuntu`. - +- [Other Distributions](https://containertoolbx.org/distros/), including `Red Hat Enterprise Linux >= 8.5`, `Arch Linux`, and `Ubuntu`. ## Table of Contents - [Prerequisites](#prerequisites) -- [Monitoring NVIDIA CUDA Repositories](#monitoring-nvidia-cuda-repositories) -- [Using the Fedora 39 CUDA Repository](#using-the-fedora-39-cuda-repository) +- [Using the Fedora 41 CUDA Repository](#using-the-fedora-41-cuda-repository) - [Creating a Fedora Toolbox Environment](#creating-a-fedora-toolbox-environment) - [Installing Essential Development Tools](#installing-essential-development-tools) - [Adding the CUDA Repository](#adding-the-cuda-repository) @@ -29,44 +28,33 @@ In this guide we setup [Nvidia CUDA](https://docs.nvidia.com/cuda/) in a toolbox ## Prerequisites - **Toolbox Installed on the Host System** `Fedora Silverblue` and `Fedora Workstation` both have toolbox by default, other distributions may need to install the [toolbox package](https://containertoolbx.org/install/). -- **NVIDIA Drivers and Graphics Card installed on Host System (optional)** To run CUDA program, such as `llama.cpp`, the host should be setup to access your NVIDIA hardware. Fedora Hosts can use the [RPM Fusion Repository](https://rpmfusion.org/Howto/NVIDIA). +- **NVIDIA Drivers and Graphics Card installed on Host System (recommended)** To run CUDA program, such as `llama.cpp`, the host should be setup to access your NVIDIA hardware. Fedora Hosts can use the [RPM Fusion Repository](https://rpmfusion.org/Howto/NVIDIA). - **Internet connectivity** to download packages. -### Monitoring NVIDIA CUDA Repositories +### Using the Fedora 41 CUDA Repository -Before proceeding, it is advisable to check if NVIDIA has updated their CUDA repositories for your Fedora version. NVIDIA's repositories can be found at: +The latest release is 41. -- [Fedora 40 CUDA Repository](https://developer.download.nvidia.com/compute/cuda/repos/fedora40/x86_64/) - [Fedora 41 CUDA Repository](https://developer.download.nvidia.com/compute/cuda/repos/fedora41/x86_64/) -As of the latest update, these repositories do not contain the `cuda` meta-package or are missing essential components. - -### Using the Fedora 39 CUDA Repository - -Since the newer repositories are incomplete, we'll use the Fedora 39 repository: - -- [Fedora 39 CUDA Repository](https://developer.download.nvidia.com/compute/cuda/repos/fedora39/x86_64/) - -**Note:** Fedora 39 is no longer maintained, so we recommend using a toolbox environment to prevent system conflicts. +**Note:** We recommend using a toolbox environment to prevent system conflicts. ## Creating a Fedora Toolbox Environment -This guide focuses on Fedora hosts, but with small adjustments, it can work for other hosts. Using a Fedora 39 toolbox allows us to install the necessary packages without affecting the host system. +This guide focuses on Fedora hosts, but with small adjustments, it can work for other hosts. Using the Fedora Toolbox allows us to install the necessary packages without affecting the host system. **Note:** Toolbox is available for other systems, and even without Toolbox, it is possible to use Podman or Docker. -We do not recommend installing on the host system, as Fedora 39 is out-of-maintenance, and instead you should upgrade to a maintained version of Fedora for your host. - -1. **Create a Fedora 39 Toolbox:** +1. **Create a Fedora 41 Toolbox:** ```bash - toolbox create --image registry.fedoraproject.org/fedora-toolbox:39 --container fedora-toolbox-39-cuda + toolbox create --image registry.fedoraproject.org/fedora-toolbox:41 --container fedora-toolbox-41-cuda ``` 2. **Enter the Toolbox:** ```bash - toolbox enter --container fedora-toolbox-39-cuda + toolbox enter --container fedora-toolbox-41-cuda ``` Inside the toolbox, you have root privileges and can install packages without affecting the host system. @@ -85,7 +73,7 @@ We do not recommend installing on the host system, as Fedora 39 is out-of-mainte sudo dnf install vim-default-editor --allowerasing ``` - The `--allowerasing` flag resolves any package conflicts. + The `--allowerasing` flag will allow the removal of the conflicting `nano-default-editor` package. 3. **Install Development Tools and Libraries:** @@ -100,7 +88,7 @@ We do not recommend installing on the host system, as Fedora 39 is out-of-mainte Add the NVIDIA CUDA repository to your DNF configuration: ```bash -sudo dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/fedora39/x86_64/cuda-fedora39.repo +sudo dnf config-manager addrepo --from-repofile=https://developer.download.nvidia.com/compute/cuda/repos/fedora41/x86_64/cuda-fedora41.repo ``` After adding the repository, synchronize the package manager again: @@ -109,106 +97,62 @@ After adding the repository, synchronize the package manager again: sudo dnf distro-sync ``` -## Installing `nvidia-driver-libs` +## Installing `nvidia-driver-libs` and `nvidia-driver-cuda-libs` -Attempt to install `nvidia-driver-libs`: +We need to detect if the host is supplying the [NVIDIA driver libraries into the toolbox](https://github.com/containers/toolbox/blob/main/src/pkg/nvidia/nvidia.go). ```bash -sudo dnf install nvidia-driver-libs +ls -la /usr/lib64/libcuda.so.1 ``` **Explanation:** -- `nvidia-driver-libs` contains necessary NVIDIA driver libraries required by CUDA. -- This step might fail due to conflicts with existing NVIDIA drivers on the host system. +- `nvidia-driver-libs` and `nvidia-driver-cuda-libs` contains necessary NVIDIA driver libraries required by CUDA, + on hosts with NVIDIA drivers installed the Fedora Container will supply the host libraries. -## Manually Resolving Package Conflicts +### Install Nvidia Driver Libraries on Guest (if `libcuda.so.1` was NOT found). + +```bash +sudo dnf install nvidia-driver-libs nvidia-driver-cuda-libs +``` + +### Manually Updating the RPM database for host-supplied NVIDIA drivers (if `libcuda.so.1` was found). If the installation fails due to conflicts, we'll manually download and install the required packages, excluding conflicting files. -### 1. Download the `nvidia-driver-libs` RPM +#### 1. Download `nvidia-driver-libs` and `nvidia-driver-cuda-libs` RPM's (with dependencies) ```bash -sudo dnf download --arch x86_64 nvidia-driver-libs +sudo dnf download --destdir=/tmp/nvidia-driver-libs --resolve --arch x86_64 nvidia-driver-libs nvidia-driver-cuda-libs ``` -You should see a file similar to: - -``` -nvidia-driver-libs-560.35.05-1.fc39.x86_64.rpm -``` - -### 2. Attempt to Install the RPM +#### 2. Update the RPM database to assume the installation of these packages. ```bash -sudo dnf install nvidia-driver-libs-560.35.05-1.fc39.x86_64.rpm -``` - -**Expected Error:** - -Installation may fail with errors pointing to conflicts with `egl-gbm` and `egl-wayland`. - -**Note: It is important to carefully read the error messages to identify the exact paths that need to be excluded.** - -### 3. Download Dependencies - -```bash -sudo dnf download --arch x86_64 egl-gbm egl-wayland -``` - -### 4. Install `egl-gbm` with Excluded Paths - -Exclude conflicting files during installation: - -```bash -sudo rpm --install --verbose --hash \ - --excludepath=/usr/lib64/libnvidia-egl-gbm.so.1.1.2 \ - --excludepath=/usr/share/egl/egl_external_platform.d/15_nvidia_gbm.json \ - egl-gbm-1.1.2^20240919gitb24587d-3.fc39.x86_64.rpm -``` - -**Explanation:** - -- The `--excludepath` option skips installing files that conflict with existing files. -- Adjust the paths based on the error messages you receive. - -### 5. Install `egl-wayland` with Excluded Paths - -```bash -sudo rpm --install --verbose --hash \ - --excludepath=/usr/share/egl/egl_external_platform.d/10_nvidia_wayland.json \ - egl-wayland-1.1.17^20241118giteeb29e1-5.fc39.x86_64.rpm -``` - -### 6. Install `nvidia-driver-libs` with Excluded Paths - -```bash -sudo rpm --install --verbose --hash \ - --excludepath=/usr/share/glvnd/egl_vendor.d/10_nvidia.json \ - --excludepath=/usr/share/nvidia/nvoptix.bin \ - nvidia-driver-libs-560.35.05-1.fc39.x86_64.rpm +sudo rpm --install --verbose --hash --justdb /tmp/nvidia-driver-libs/* ``` **Note:** -- Replace the paths with the ones causing conflicts in your installation if they differ. -- The `--verbose` and `--hash` options provide detailed output during installation. +- The `--justdb` option only updates the RPM database, without touching the filesystem. -## Finalizing the Installation of `nvidia-driver-libs` +#### Finalizing the Installation of `nvidia-driver-libs` and `nvidia-driver-cuda-libs` After manually installing the dependencies, run: ```bash -sudo dnf install nvidia-driver-libs +sudo dnf install nvidia-driver-libs nvidia-driver-cuda-libs ``` You should receive a message indicating the package is already installed: ``` -Package nvidia-driver-libs-3:560.35.05-1.fc39.x86_64 is already installed. -Dependencies resolved. +Updating and loading repositories: +Repositories loaded. +Package "nvidia-driver-libs-3:570.86.10-1.fc41.x86_64" is already installed. +Package "nvidia-driver-cuda-libs-3:570.86.10-1.fc41.x86_64" is already installed. + Nothing to do. -Complete! ``` ## Installing the CUDA Meta-Package @@ -233,7 +177,7 @@ To use CUDA, add its binary directory to your system's `PATH`. **Explanation:** - - We add to `/etc/profile.d/` as the `/etc/` folder is unique to this particular container, and is not shared with other containers or the host system. + - We add to `/etc/profile.d/` as the `/etc/` folder is unique to this particular container, and is not shared with other containers or the host system. - The backslash `\` before `$PATH` ensures the variable is correctly written into the script. 2. **Make the Script Executable:** @@ -262,26 +206,33 @@ You should see output similar to: ``` nvcc: NVIDIA (R) Cuda compiler driver -Copyright (c) 2005-2024 NVIDIA Corporation -Built on Tue_Oct_29_23:50:19_PDT_2024 -Cuda compilation tools, release 12.6, V12.6.85 -Build cuda_12.6.r12.6/compiler.35059454_0 +Copyright (c) 2005-2025 NVIDIA Corporation +Built on Wed_Jan_15_19:20:09_PST_2025 +Cuda compilation tools, release 12.8, V12.8.61 +Build cuda_12.8.r12.8/compiler.35404655_0 ``` This output confirms that the CUDA compiler is accessible and indicates the installed version. ## Conclusion -You have successfully set up CUDA on Fedora within a toolbox environment using the Fedora 39 CUDA repository. By manually resolving package conflicts and configuring the environment, you can develop CUDA applications without affecting your host system. +You have successfully set up CUDA on Fedora within a toolbox environment using the Fedora 41 CUDA repository. By manually updating the RPM db and configuring the environment, you can develop CUDA applications without affecting your host system. ## Troubleshooting - **Installation Failures:** - - If you encounter errors during installation, carefully read the error messages. They often indicate conflicting files or missing dependencies. - - Use the `--excludepath` option with `rpm` to exclude conflicting files during manual installations. -- **Driver Conflicts:** - - Since the host system may already have NVIDIA drivers installed, conflicts can arise. Using the toolbox environment helps isolate these issues. + - If you encounter errors during installation, carefully read the error messages. They often indicate conflicting files or missing dependencies. + - You may use the `--excludepath` option with `rpm` to exclude conflicting files during manual RPM installations. + +- **Rebooting the Container:** + + - Sometimes there may be a bug in the NVIDIA driver host passthrough (such as missing a shared library). Rebooting the container may solve this issue: + + ```bash + # on the host system + podman container restart --all + ``` - **Environment Variables Not Set:** - If `nvcc` is not found after installation, ensure that `/usr/local/cuda/bin` is in your `PATH`. @@ -291,10 +242,12 @@ You have successfully set up CUDA on Fedora within a toolbox environment using t ## Additional Notes - **Updating CUDA in the Future:** + - Keep an eye on the official NVIDIA repositories for updates to your Fedora version. - When an updated repository becomes available, adjust your `dnf` configuration accordingly. - **Building `llama.cpp`:** + - With CUDA installed, you can follow these [build instructions for `llama.cpp`](https://github.com/ggerganov/llama.cpp/blob/master/docs/build.md) to compile it with CUDA support. - Ensure that any CUDA-specific build flags or paths are correctly set in your build configuration. From 2fb3c32a1634488a5265d1304ab37628eeb5480d Mon Sep 17 00:00:00 2001 From: Xuan-Son Nguyen Date: Thu, 6 Feb 2025 17:32:29 +0100 Subject: [PATCH 28/50] server : (webui) migrate project to ReactJS with typescript (#11688) * init version * fix auto scroll * bring back copy btn * bring back thought process * add lint and format check on CI * remove lang from html tag * allow multiple generations at the same time * lint and format combined * fix unused var * improve MarkdownDisplay * fix more latex * fix code block cannot be selected while generating --- .github/workflows/server.yml | 25 +- examples/server/public/index.html.gz | Bin 1207128 -> 1219985 bytes examples/server/webui/.gitignore | 24 + examples/server/webui/.prettierignore | 10 + examples/server/webui/eslint.config.js | 26 + examples/server/webui/index.html | 353 +- examples/server/webui/package-lock.json | 6655 ++++++++++++----- examples/server/webui/package.json | 48 +- .../webui/public/demo-conversation.json | 2 +- examples/server/webui/src/App.tsx | 36 + examples/server/webui/src/Config.ts | 89 + .../webui/src/components/ChatMessage.tsx | 229 + .../webui/src/components/ChatScreen.tsx | 123 + .../server/webui/src/components/Header.tsx | 182 + .../webui/src/components/MarkdownDisplay.tsx | 254 + .../webui/src/components/SettingDialog.tsx | 306 + .../server/webui/src/components/Sidebar.tsx | 95 + examples/server/webui/src/highlight-config.js | 60 - .../webui/src/{styles.scss => index.scss} | 25 +- examples/server/webui/src/katex-gpt.js | 66 - examples/server/webui/src/main.js | 704 -- examples/server/webui/src/main.tsx | 10 + .../server/webui/src/utils/app.context.tsx | 304 + examples/server/webui/src/utils/misc.ts | 87 + examples/server/webui/src/utils/storage.ts | 138 + examples/server/webui/src/utils/types.ts | 25 + examples/server/webui/src/vite-env.d.ts | 1 + examples/server/webui/tsconfig.app.json | 26 + examples/server/webui/tsconfig.json | 7 + examples/server/webui/tsconfig.node.json | 24 + .../webui/{vite.config.js => vite.config.ts} | 49 +- 31 files changed, 7100 insertions(+), 2883 deletions(-) create mode 100644 examples/server/webui/.gitignore create mode 100644 examples/server/webui/.prettierignore create mode 100644 examples/server/webui/eslint.config.js create mode 100644 examples/server/webui/src/App.tsx create mode 100644 examples/server/webui/src/Config.ts create mode 100644 examples/server/webui/src/components/ChatMessage.tsx create mode 100644 examples/server/webui/src/components/ChatScreen.tsx create mode 100644 examples/server/webui/src/components/Header.tsx create mode 100644 examples/server/webui/src/components/MarkdownDisplay.tsx create mode 100644 examples/server/webui/src/components/SettingDialog.tsx create mode 100644 examples/server/webui/src/components/Sidebar.tsx delete mode 100644 examples/server/webui/src/highlight-config.js rename examples/server/webui/src/{styles.scss => index.scss} (83%) delete mode 100644 examples/server/webui/src/katex-gpt.js delete mode 100644 examples/server/webui/src/main.js create mode 100644 examples/server/webui/src/main.tsx create mode 100644 examples/server/webui/src/utils/app.context.tsx create mode 100644 examples/server/webui/src/utils/misc.ts create mode 100644 examples/server/webui/src/utils/storage.ts create mode 100644 examples/server/webui/src/utils/types.ts create mode 100644 examples/server/webui/src/vite-env.d.ts create mode 100644 examples/server/webui/tsconfig.app.json create mode 100644 examples/server/webui/tsconfig.json create mode 100644 examples/server/webui/tsconfig.node.json rename examples/server/webui/{vite.config.js => vite.config.ts} (58%) diff --git a/.github/workflows/server.yml b/.github/workflows/server.yml index 0cbc3d640..3a29107d0 100644 --- a/.github/workflows/server.yml +++ b/.github/workflows/server.yml @@ -81,13 +81,36 @@ jobs: with: node-version: '22.11.0' + - name: WebUI - Install dependencies + id: webui_lint + run: | + cd examples/server/webui + npm ci + + - name: WebUI - Check code format + id: webui_format + run: | + git config --global --add safe.directory $(realpath .) + cd examples/server/webui + git status + + npm run format + git status + modified_files="$(git status -s)" + echo "Modified files: ${modified_files}" + if [ -n "${modified_files}" ]; then + echo "Files do not follow coding style. To fix: npm run format" + echo "${modified_files}" + exit 1 + fi + - name: Verify bundled index.html id: verify_server_index_html run: | git config --global --add safe.directory $(realpath .) cd examples/server/webui git status - npm ci + npm run build git status modified_files="$(git status -s)" diff --git a/examples/server/public/index.html.gz b/examples/server/public/index.html.gz index e876776e82eeba329b1e808cd46684e32aca94f5..646988ad8e494e1bcccfd2fba6f549796aebd983 100644 GIT binary patch delta 1219129 zcmV(&K;ggG)=81ON`D`V2mk;800062+`ZdY+sd{m`aZwHXs3CrCS}LQ5Q07b<2;?W{eAlrcI&;Wq>^ls%(>RXKI_F+-S55ny|&gG zjlb1uXOkeQ1xbz9k{}v~qUHyos133p9MxjKmQF;?mvNMeXn)lFTdlU2V&*K3r#uaY zJPaRdV-X3-Q!%Oy99v9#ZDq2cvYtM&d3QiUtN~Er^0N;9(;f@=&lgtxfs2V46)$gsQ}DOSdwN!&o+w z;Y3V@Q?wBV<4IZ@ad}(xFb&dBy#3$*-~al5YhlQzyni{I&1wx8P`dS8C8~_cPzJNK z2GhZuX*|k8s9MHJ63bv5L~rl7tbLs^!QMWm6B*yv&K_psy_B(Z1zB_<`F6-$K~owL z_BL%!c;X5&pMRaX&JK@YIi2;0V9sZ0k<+~$;II)k5ypJv5F$mI$*Akc(pBw*aJ2KLzGgx`oQhBk(^zhY 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