From 9b56d3fbf5d90f5654262a71b5e557da6766b7ad Mon Sep 17 00:00:00 2001 From: OlivierDehaene Date: Fri, 15 Dec 2023 12:52:24 +0100 Subject: [PATCH] feat: relax mistral requirements (#1351) Close #1253 Close #1279 --- .github/workflows/build.yaml | 78 +- server/poetry.lock | 1095 +++++++++-------- server/pyproject.toml | 8 +- server/requirements_cuda.txt | 20 +- server/requirements_rocm.txt | 18 +- .../text_generation_server/models/__init__.py | 44 +- .../custom_modeling/flash_mistral_modeling.py | 9 - .../custom_modeling/flash_mixtral_modeling.py | 20 +- 8 files changed, 671 insertions(+), 621 deletions(-) diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml index 395a0b6a..066ea889 100644 --- a/.github/workflows/build.yaml +++ b/.github/workflows/build.yaml @@ -146,11 +146,50 @@ jobs: cache-from: type=registry,ref=registry.internal.huggingface.tech/api-inference/community/text-generation-inference:cache,mode=min cache-to: type=registry,ref=registry.internal.huggingface.tech/api-inference/community/text-generation-inference:cache,mode=min + integration-tests: + concurrency: + group: ${{ github.workflow }}-${{ github.job }}-${{ github.head_ref || github.run_id }} + cancel-in-progress: true + needs: + - start-runner + - build-and-push-image # Wait for the docker image to be built + runs-on: ${{ needs.start-runner.outputs.label }} # run the job on the newly created runner + env: + DOCKER_VOLUME: /cache + steps: + - uses: actions/checkout@v2 + - name: Inject slug/short variables + uses: rlespinasse/github-slug-action@v4.4.1 + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: 3.9 + - name: Tailscale + uses: tailscale/github-action@7bd8039bf25c23c4ab1b8d6e2cc2da2280601966 + with: + authkey: ${{ secrets.TAILSCALE_AUTHKEY }} + - name: Prepare disks + run: | + sudo mkfs -t ext4 /dev/nvme1n1 + sudo mkdir ${{ env.DOCKER_VOLUME }} + sudo mount /dev/nvme1n1 ${{ env.DOCKER_VOLUME }} + - name: Install + run: | + make install-integration-tests + - name: Run tests + run: | + export DOCKER_IMAGE=registry.internal.huggingface.tech/api-inference/community/text-generation-inference:sha-${{ env.GITHUB_SHA_SHORT }} + export HUGGING_FACE_HUB_TOKEN=${{ secrets.HUGGING_FACE_HUB_TOKEN }} + pytest -s -vv integration-tests + build-and-push-image-rocm: concurrency: group: ${{ github.workflow }}-build-and-push-image-rocm-${{ github.head_ref || github.run_id }} cancel-in-progress: true - needs: start-runner # required to start the main job when the runner is ready + needs: + - start-runner + - build-and-push-image # Wait for the main docker image to be built + - integration-tests # Wait for the main integration-tests runs-on: ${{ needs.start-runner.outputs.label }} # run the job on the newly created runner permissions: contents: write @@ -235,43 +274,6 @@ jobs: cache-from: type=registry,ref=registry.internal.huggingface.tech/api-inference/community/text-generation-inference:cache-rocm,mode=min cache-to: type=registry,ref=registry.internal.huggingface.tech/api-inference/community/text-generation-inference:cache-rocm,mode=min - integration-tests: - concurrency: - group: ${{ github.workflow }}-${{ github.job }}-${{ github.head_ref || github.run_id }} - cancel-in-progress: true - needs: - - start-runner - - build-and-push-image # Wait for the docker image to be built - - build-and-push-image-rocm - runs-on: ${{ needs.start-runner.outputs.label }} # run the job on the newly created runner - env: - DOCKER_VOLUME: /cache - steps: - - uses: actions/checkout@v2 - - name: Inject slug/short variables - uses: rlespinasse/github-slug-action@v4.4.1 - - name: Set up Python - uses: actions/setup-python@v4 - with: - python-version: 3.9 - - name: Tailscale - uses: tailscale/github-action@7bd8039bf25c23c4ab1b8d6e2cc2da2280601966 - with: - authkey: ${{ secrets.TAILSCALE_AUTHKEY }} - - name: Prepare disks - run: | - sudo mkfs -t ext4 /dev/nvme1n1 - sudo mkdir ${{ env.DOCKER_VOLUME }} - sudo mount /dev/nvme1n1 ${{ env.DOCKER_VOLUME }} - - name: Install - run: | - make install-integration-tests - - name: Run tests - run: | - export DOCKER_IMAGE=registry.internal.huggingface.tech/api-inference/community/text-generation-inference:sha-${{ env.GITHUB_SHA_SHORT }} - export HUGGING_FACE_HUB_TOKEN=${{ secrets.HUGGING_FACE_HUB_TOKEN }} - pytest -s -vv integration-tests - stop-runner: name: Stop self-hosted EC2 runner needs: diff --git a/server/poetry.lock b/server/poetry.lock index 48ae40fe..3326d0aa 100644 --- a/server/poetry.lock +++ b/server/poetry.lock @@ -2,115 +2,117 @@ [[package]] name = "accelerate" -version = "0.20.3" +version = "0.25.0" description = "Accelerate" optional = true -python-versions = ">=3.7.0" +python-versions = ">=3.8.0" files = [ - {file = "accelerate-0.20.3-py3-none-any.whl", hash = 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a/server/requirements_cuda.txt b/server/requirements_cuda.txt index bc1b8891..694242e1 100644 --- a/server/requirements_cuda.txt +++ b/server/requirements_cuda.txt @@ -1,5 +1,5 @@ backoff==2.2.1 ; python_version >= "3.9" and python_version < "3.13" -bitsandbytes==0.41.2.post2 ; python_version >= "3.9" and python_version < "3.13" +bitsandbytes==0.41.3.post2 ; python_version >= "3.9" and python_version < "3.13" certifi==2023.11.17 ; python_version >= "3.9" and python_version < "3.13" charset-normalizer==3.3.2 ; python_version >= "3.9" and python_version < "3.13" click==8.1.7 ; python_version >= "3.9" and python_version < "3.13" @@ -8,14 +8,14 @@ deprecated==1.2.14 ; python_version >= "3.9" and python_version < "3.13" einops==0.6.1 ; python_version >= "3.9" and python_version < "3.13" filelock==3.13.1 ; python_version >= "3.9" and python_version < "3.13" fsspec==2023.10.0 ; python_version >= "3.9" and python_version < "3.13" -googleapis-common-protos==1.61.0 ; python_version >= "3.9" and python_version < "3.13" +googleapis-common-protos==1.62.0 ; python_version >= "3.9" and python_version < "3.13" grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13" -grpcio-reflection==1.59.3 ; python_version >= "3.9" and python_version < "3.13" -grpcio-status==1.59.3 ; python_version >= "3.9" and python_version < "3.13" -grpcio==1.59.3 ; python_version >= "3.9" and python_version < "3.13" +grpcio-reflection==1.60.0 ; python_version >= "3.9" and python_version < "3.13" +grpcio-status==1.60.0 ; python_version >= "3.9" and python_version < "3.13" +grpcio==1.60.0 ; python_version >= "3.9" and python_version < "3.13" hf-transfer==0.1.4 ; python_version >= "3.9" and python_version < "3.13" -huggingface-hub==0.16.4 ; python_version >= "3.9" and python_version < "3.13" -idna==3.4 ; python_version >= "3.9" and python_version < "3.13" +huggingface-hub==0.19.4 ; python_version >= "3.9" and python_version < "3.13" +idna==3.6 ; python_version >= "3.9" and python_version < 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python_version >= "3.9" and python_version < "3.13" +typing-extensions==4.9.0 ; python_version >= "3.9" and python_version < "3.13" urllib3==2.1.0 ; python_version >= "3.9" and python_version < "3.13" win32-setctime==1.1.0 ; python_version >= "3.9" and python_version < "3.13" and sys_platform == "win32" wrapt==1.16.0 ; python_version >= "3.9" and python_version < "3.13" diff --git a/server/requirements_rocm.txt b/server/requirements_rocm.txt index 5a321834..e0495fde 100644 --- a/server/requirements_rocm.txt +++ b/server/requirements_rocm.txt @@ -7,14 +7,14 @@ deprecated==1.2.14 ; python_version >= "3.9" and python_version < "3.13" einops==0.6.1 ; python_version >= "3.9" and python_version < "3.13" filelock==3.13.1 ; python_version >= "3.9" and python_version < "3.13" fsspec==2023.10.0 ; python_version >= "3.9" and python_version < "3.13" -googleapis-common-protos==1.61.0 ; python_version >= "3.9" and python_version < "3.13" +googleapis-common-protos==1.62.0 ; python_version >= "3.9" and python_version < "3.13" grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13" -grpcio-reflection==1.59.3 ; python_version >= "3.9" and python_version < "3.13" -grpcio-status==1.59.3 ; python_version >= "3.9" and python_version < "3.13" -grpcio==1.59.3 ; python_version >= "3.9" and python_version < "3.13" +grpcio-reflection==1.60.0 ; python_version >= "3.9" and python_version < "3.13" +grpcio-status==1.60.0 ; python_version >= "3.9" and python_version < "3.13" +grpcio==1.60.0 ; python_version >= "3.9" and python_version < "3.13" hf-transfer==0.1.4 ; python_version >= "3.9" and python_version < "3.13" -huggingface-hub==0.16.4 ; python_version >= "3.9" and python_version < "3.13" -idna==3.4 ; python_version >= "3.9" and python_version < "3.13" +huggingface-hub==0.19.4 ; python_version >= "3.9" and python_version < "3.13" +idna==3.6 ; python_version >= "3.9" and python_version < "3.13" loguru==0.6.0 ; python_version >= "3.9" and python_version < "3.13" numpy==1.26.2 ; python_version >= "3.9" and python_version < "3.13" opentelemetry-api==1.15.0 ; python_version >= "3.9" and python_version < "3.13" @@ -36,11 +36,11 @@ safetensors==0.3.3 ; python_version >= "3.9" and python_version < "3.13" scipy==1.11.4 ; python_version >= "3.9" and python_version < "3.13" sentencepiece==0.1.99 ; python_version >= "3.9" and python_version < "3.13" setuptools==69.0.2 ; python_version >= "3.9" and python_version < "3.13" -tokenizers==0.13.3 ; python_version >= "3.9" and python_version < "3.13" +tokenizers==0.15.0 ; python_version >= "3.9" and python_version < "3.13" tqdm==4.66.1 ; python_version >= "3.9" and python_version < "3.13" -transformers==4.33.3 ; python_version >= "3.9" and python_version < "3.13" +transformers==4.36.1 ; python_version >= "3.9" and python_version < "3.13" typer==0.6.1 ; python_version >= "3.9" and python_version < "3.13" -typing-extensions==4.8.0 ; python_version >= "3.9" and python_version < "3.13" +typing-extensions==4.9.0 ; python_version >= "3.9" and python_version < "3.13" urllib3==2.1.0 ; python_version >= "3.9" and python_version < "3.13" win32-setctime==1.1.0 ; python_version >= "3.9" and python_version < "3.13" and sys_platform == "win32" wrapt==1.16.0 ; python_version >= "3.9" and python_version < "3.13" diff --git a/server/text_generation_server/models/__init__.py b/server/text_generation_server/models/__init__.py index f2ef55ce..1bbff16a 100644 --- a/server/text_generation_server/models/__init__.py +++ b/server/text_generation_server/models/__init__.py @@ -55,10 +55,14 @@ try: FlashSantacoderSharded, ) from text_generation_server.models.idefics import IDEFICSSharded + from text_generation_server.models.flash_mistral import FlashMistral + from text_generation_server.models.flash_mixtral import FlashMixtral + from text_generation_server.utils.flash_attn import HAS_FLASH_ATTN_V2_CUDA except ImportError as e: logger.warning(f"Could not import Flash Attention enabled models: {e}") FLASH_ATTENTION = False + HAS_FLASH_ATTN_V2_CUDA = False if FLASH_ATTENTION: __all__.append(FlashNeoXSharded) @@ -66,25 +70,7 @@ if FLASH_ATTENTION: __all__.append(FlashSantacoderSharded) __all__.append(FlashLlama) __all__.append(IDEFICSSharded) - -MISTRAL = True -try: - from text_generation_server.models.flash_mistral import FlashMistral -except ImportError as e: - logger.warning(f"Could not import Mistral model: {e}") - MISTRAL = False - -if MISTRAL: __all__.append(FlashMistral) - -MIXTRAL = True -try: - from text_generation_server.models.flash_mixtral import FlashMixtral -except ImportError as e: - logger.warning(f"Could not import Mixtral model: {e}") - MIXTRAL = False - -if MIXTRAL: __all__.append(FlashMixtral) @@ -295,7 +281,9 @@ def get_model( ) if model_type == "mistral": - if MISTRAL: + if (config_dict["sliding_window"] is None and FLASH_ATTENTION) or ( + config_dict["sliding_window"] > 0 and HAS_FLASH_ATTN_V2_CUDA + ): return FlashMistral( model_id, revision, @@ -303,10 +291,11 @@ def get_model( dtype=dtype, trust_remote_code=trust_remote_code, ) - raise NotImplementedError("Mistral models requires flash attention v2") if model_type == "mixtral": - if MIXTRAL: + if (config_dict["sliding_window"] is None and FLASH_ATTENTION) or ( + config_dict["sliding_window"] > 0 and HAS_FLASH_ATTN_V2_CUDA + ): return FlashMixtral( model_id, revision, @@ -314,9 +303,6 @@ def get_model( dtype=dtype, trust_remote_code=trust_remote_code, ) - raise NotImplementedError( - "Mixtral models requires flash attention v2, stk and megablocks" - ) if model_type == "opt": return OPTSharded( @@ -348,17 +334,17 @@ def get_model( raise NotImplementedError(FLASH_ATT_ERROR_MESSAGE.format("Idefics")) if sharded: - raise ValueError("sharded is not supported for AutoModel") + raise NotImplementedError("sharded is not supported for AutoModel") if quantize == "gptq": - raise ValueError( + raise NotImplementedError( "gptq quantization is not supported for AutoModel, you can try to quantize it with `text-generation-server quantize ORIGINAL_MODEL_ID NEW_MODEL_ID`" ) if quantize == "awq": - raise ValueError("awq quantization is not supported for AutoModel") + raise NotImplementedError("awq quantization is not supported for AutoModel") elif (quantize == "bitsandbytes-fp4") or (quantize == "bitsandbytes-nf4"): - raise ValueError("4bit quantization is not supported for AutoModel") + raise NotImplementedError("4bit quantization is not supported for AutoModel") elif quantize == "eetq": - raise ValueError("Eetq quantization is not supported for AutoModel") + raise NotImplementedError("Eetq quantization is not supported for AutoModel") if model_type in modeling_auto.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES: return CausalLM( model_id, diff --git a/server/text_generation_server/models/custom_modeling/flash_mistral_modeling.py b/server/text_generation_server/models/custom_modeling/flash_mistral_modeling.py index afeaf7e5..c85624f3 100644 --- a/server/text_generation_server/models/custom_modeling/flash_mistral_modeling.py +++ b/server/text_generation_server/models/custom_modeling/flash_mistral_modeling.py @@ -27,11 +27,6 @@ from transformers.configuration_utils import PretrainedConfig from typing import Optional, List, Tuple from text_generation_server.utils import paged_attention, flash_attn -from text_generation_server.utils.flash_attn import ( - attention, - HAS_FLASH_ATTN_V2_ROCM, - HAS_FLASH_ATTN_V2_CUDA, -) from text_generation_server.utils.layers import ( TensorParallelRowLinear, TensorParallelColumnLinear, @@ -43,10 +38,6 @@ from text_generation_server.utils.layers import ( ) -if not HAS_FLASH_ATTN_V2_CUDA and not HAS_FLASH_ATTN_V2_ROCM: - raise ImportError("Mistral model requires flash attn v2") - - class MistralConfig(PretrainedConfig): model_type = "mistral" diff --git a/server/text_generation_server/models/custom_modeling/flash_mixtral_modeling.py b/server/text_generation_server/models/custom_modeling/flash_mixtral_modeling.py index 35bb3735..b468d09b 100644 --- a/server/text_generation_server/models/custom_modeling/flash_mixtral_modeling.py +++ b/server/text_generation_server/models/custom_modeling/flash_mixtral_modeling.py @@ -27,12 +27,9 @@ from torch import nn from transformers.activations import ACT2FN from transformers.configuration_utils import PretrainedConfig from typing import Optional, List, Tuple +from loguru import logger from text_generation_server.utils import paged_attention, flash_attn -from text_generation_server.utils.flash_attn import ( - HAS_FLASH_ATTN_V2_ROCM, - HAS_FLASH_ATTN_V2_CUDA, -) from text_generation_server.utils.layers import ( FastLinear, FastRMSNorm, @@ -44,18 +41,13 @@ from text_generation_server.utils.layers import ( get_linear, ) -if not HAS_FLASH_ATTN_V2_CUDA and not HAS_FLASH_ATTN_V2_ROCM: - raise ImportError("Mixtral model requires flash attn v2") - -try: - import megablocks.ops as ops -except ImportError: - raise ImportError("Mixtral model requires megablocks to be installed") - +HAS_MEGABLOCKS = True try: import stk + import megablocks.ops as ops except ImportError: - raise ImportError("Mixtral model requires stk to be installed") + logger.warning("Mixtral: megablocks is not installed") + HAS_MEGABLOCKS = False class MixtralConfig(PretrainedConfig): @@ -590,7 +582,7 @@ class BlockSparseMoE(nn.Module): return out def forward(self, x: torch.Tensor) -> torch.Tensor: - if len(x) > 256: + if len(x) > 256 and HAS_MEGABLOCKS: return self.sparse_forward(x) # This is faster when there is not a lot of tokens return self.dense_forward(x)