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@ -98,26 +98,25 @@ RUN pip uninstall -y triton && \
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cd triton/python && \
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pip install .
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# RUN git clone --depth 1 --recursive --single-branch --branch 2.3-patched https://github.com/fxmarty/pytorch.git pytorch && cd pytorch && pip install -r requirements.txt --no-cache-dir
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RUN git clone --depth 1 --recursive --single-branch --branch main https://github.com/pytorch/pytorch.git pytorch && cd pytorch && pip install -r requirements.txt --no-cache-dir && \
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git checkout da320214e66b5af0f7db8fd18a64dbb519d17b27
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# ARG _GLIBCXX_USE_CXX11_ABI="1"
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# ARG CMAKE_PREFIX_PATH="/opt/conda"
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# ARG PYTORCH_ROCM_ARCH="gfx90a;gfx942"
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# ARG BUILD_CAFFE2="0" \
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# BUILD_CAFFE2_OPS="0" \
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# USE_CUDA="0" \
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# USE_ROCM="1" \
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# BUILD_TEST="0" \
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# USE_FBGEMM="0" \
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# USE_NNPACK="0" \
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# USE_QNNPACK="0" \
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# USE_XNNPACK="0" \
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# USE_FLASH_ATTENTION="1" \
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# USE_MEM_EFF_ATTENTION="0"
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ARG _GLIBCXX_USE_CXX11_ABI="1"
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ARG CMAKE_PREFIX_PATH="/opt/conda"
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ARG PYTORCH_ROCM_ARCH="gfx90a;gfx942"
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ARG BUILD_CAFFE2="0" \
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BUILD_CAFFE2_OPS="0" \
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USE_CUDA="0" \
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USE_ROCM="1" \
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BUILD_TEST="0" \
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USE_FBGEMM="0" \
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USE_NNPACK="0" \
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USE_QNNPACK="0" \
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USE_XNNPACK="0" \
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USE_FLASH_ATTENTION="1" \
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USE_MEM_EFF_ATTENTION="0"
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# RUN cd pytorch && python tools/amd_build/build_amd.py && python setup.py install
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RUN pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.1
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RUN cd pytorch && python tools/amd_build/build_amd.py && python setup.py install
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# Set AS recommended: https://github.com/ROCm/triton/wiki/A-script-to-set-program-execution-environment-in-ROCm
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ENV HIP_FORCE_DEV_KERNARG=1
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@ -208,7 +208,7 @@ if ENGINE == "ck":
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softcap,
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False,
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None,
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)
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)[0]
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elif ENGINE == "triton":
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from .flash_attn_triton import triton_attention
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@ -1159,7 +1159,7 @@ class FlashCausalLM(Model):
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log_master(
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logger.info,
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f"PyTorch TunableOp (https://github.com/fxmarty/pytorch/tree/2.3-patched/aten/src/ATen/cuda/tunable) is enabled. The warmup may take several minutes, picking the ROCm optimal matrix multiplication kernel for the target lengths {', '.join([str(seqlen) for seqlen in tuning_sequences])}, with typical 5-8% latency improvement for small sequence lengths. The picked GEMMs are saved in the file {tunableop_filepath}. To disable TunableOp, please launch TGI with `PYTORCH_TUNABLEOP_ENABLED=0`.",
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f"PyTorch TunableOp is enabled. The warmup may take several minutes, picking the ROCm optimal matrix multiplication kernel for the target lengths {', '.join([str(seqlen) for seqlen in tuning_sequences])}, with typical 5-8% latency improvement for small sequence lengths. The picked GEMMs are saved in the file {tunableop_filepath}. To disable TunableOp, please launch TGI with `PYTORCH_TUNABLEOP_ENABLED=0`.",
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)
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if os.path.isfile(tunableop_filepath):
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