[AMD] Support ds3.2 on gfx942 platform (#17504)
Co-authored-by: Hubert Lu <55214931+hubertlu-tw@users.noreply.github.com>
This commit is contained in:
@@ -69,6 +69,10 @@ ARG TILELANG_REPO="https://github.com/HaiShaw/tilelang.git"
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ARG TILELANG_BRANCH="dsv32-mi35x"
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ARG TILELANG_COMMIT="ae938cf885743f165a19656d1122ad42bb0e30b8"
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ARG TILELANG_GFX942_REPO="https://github.com/tile-ai/tilelang.git"
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ARG TILELANG_GFX942_BRANCH="main"
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ARG TILELANG_GFX942_COMMIT="2d8d3676eda18bd3d8e6fa783399ff96d3cd4ded"
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ARG FHT_REPO="https://github.com/jeffdaily/fast-hadamard-transform.git"
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ARG FHT_BRANCH="rocm"
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ARG FHT_COMMIT="46efb7d776d38638fc39f3c803eaee3dd7016bd1"
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@@ -215,66 +219,82 @@ ENV LIBGL_ALWAYS_INDIRECT=1
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RUN echo "LC_ALL=en_US.UTF-8" >> /etc/environment
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RUN /bin/bash -lc 'set -euo pipefail; \
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# Build TileLang only for gfx950
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if [ "${GPU_ARCH:-}" != "gfx950" ]; then \
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# Build TileLang for gfx950 and gfx942-rocm700
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if [ "${GPU_ARCH:-}" != "gfx950" ] && [ "${GPU_ARCH:-}" != "gfx942-rocm700" ]; then \
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echo "[TileLang] Skipping (GPU_ARCH=${GPU_ARCH:-unset})"; \
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exit 0; \
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fi; \
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echo "[TileLang] Building TileLang for ${GPU_ARCH}"; \
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\
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# System dependencies (NO llvm-dev to avoid llvm-config-16 shadowing)
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apt-get update && apt-get install -y --no-install-recommends \
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build-essential git wget curl ca-certificates gnupg \
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libgtest-dev libgmock-dev \
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libprotobuf-dev protobuf-compiler libgflags-dev libsqlite3-dev \
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python3 python3-dev python3-setuptools python3-pip \
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gcc libtinfo-dev zlib1g-dev libedit-dev libxml2-dev \
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cmake ninja-build pkg-config libstdc++6 \
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&& rm -rf /var/lib/apt/lists/*; \
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\
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# Build GoogleTest static libs (Ubuntu package ships sources only)
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cmake -S /usr/src/googletest -B /tmp/build-gtest -DBUILD_GTEST=ON -DBUILD_GMOCK=ON -DCMAKE_BUILD_TYPE=Release && \
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cmake --build /tmp/build-gtest -j"$(nproc)" && \
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cp -v /tmp/build-gtest/lib/*.a /usr/lib/x86_64-linux-gnu/ && \
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rm -rf /tmp/build-gtest; \
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\
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# Keep setuptools < 80 (compat with base image)
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python3 -m pip install --upgrade "setuptools>=77.0.3,<80" wheel cmake ninja && \
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python3 -m pip cache purge || true; \
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\
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# Locate ROCm llvm-config; fallback to installing LLVM 18 if missing
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LLVM_CONFIG_PATH=""; \
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for p in /opt/rocm/llvm/bin/llvm-config /opt/rocm/llvm-*/bin/llvm-config /opt/rocm-*/llvm*/bin/llvm-config; do \
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if [ -x "$p" ]; then LLVM_CONFIG_PATH="$p"; break; fi; \
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done; \
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if [ -z "$LLVM_CONFIG_PATH" ]; then \
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echo "[TileLang] ROCm llvm-config not found; installing LLVM 18..."; \
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curl -fsSL https://apt.llvm.org/llvm.sh -o /tmp/llvm.sh; \
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chmod +x /tmp/llvm.sh; \
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/tmp/llvm.sh 18; \
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LLVM_CONFIG_PATH="$(command -v llvm-config-18)"; \
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if [ -z "$LLVM_CONFIG_PATH" ]; then echo "ERROR: llvm-config-18 not found after install"; exit 1; fi; \
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fi; \
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echo "[TileLang] Using LLVM_CONFIG at: $LLVM_CONFIG_PATH"; \
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export PATH="$(dirname "$LLVM_CONFIG_PATH"):/usr/local/bin:${PATH}"; \
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export LLVM_CONFIG="$LLVM_CONFIG_PATH"; \
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\
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# Optional shim for tools that expect llvm-config-16
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mkdir -p /usr/local/bin && \
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printf "#!/usr/bin/env bash\nexec \"%s\" \"\$@\"\n" "$LLVM_CONFIG_PATH" > /usr/local/bin/llvm-config-16 && \
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chmod +x /usr/local/bin/llvm-config-16; \
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\
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# TVM Python bits need Cython
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python3 -m pip install --no-cache-dir "cython>=0.29.36,<3.0"; \
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\
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# Clone + pin TileLang (bundled TVM), then build
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git clone --recursive --branch "${TILELANG_BRANCH}" "${TILELANG_REPO}" /opt/tilelang && \
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cd /opt/tilelang && \
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git fetch --depth=1 origin "${TILELANG_COMMIT}" || true && \
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git checkout -f "${TILELANG_COMMIT}" && \
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git submodule update --init --recursive && \
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export CMAKE_ARGS="-DLLVM_CONFIG=${LLVM_CONFIG} ${CMAKE_ARGS:-}" && \
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bash ./install_rocm.sh'
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if [ "$GPU_ARCH" = "gfx950" ]; then \
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\
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# System dependencies (NO llvm-dev to avoid llvm-config-16 shadowing)
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apt-get update && apt-get install -y --no-install-recommends \
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build-essential git wget curl ca-certificates gnupg \
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libgtest-dev libgmock-dev \
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libprotobuf-dev protobuf-compiler libgflags-dev libsqlite3-dev \
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python3 python3-dev python3-setuptools python3-pip \
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gcc libtinfo-dev zlib1g-dev libedit-dev libxml2-dev \
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cmake ninja-build pkg-config libstdc++6 \
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&& rm -rf /var/lib/apt/lists/*; \
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\
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# Build GoogleTest static libs (Ubuntu package ships sources only)
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cmake -S /usr/src/googletest -B /tmp/build-gtest -DBUILD_GTEST=ON -DBUILD_GMOCK=ON -DCMAKE_BUILD_TYPE=Release && \
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cmake --build /tmp/build-gtest -j"$(nproc)" && \
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cp -v /tmp/build-gtest/lib/*.a /usr/lib/x86_64-linux-gnu/ && \
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rm -rf /tmp/build-gtest; \
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\
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# Keep setuptools < 80 (compat with base image)
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python3 -m pip install --upgrade "setuptools>=77.0.3,<80" wheel cmake ninja && \
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python3 -m pip cache purge || true; \
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\
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# Locate ROCm llvm-config; fallback to installing LLVM 18 if missing
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LLVM_CONFIG_PATH=""; \
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for p in /opt/rocm/llvm/bin/llvm-config /opt/rocm/llvm-*/bin/llvm-config /opt/rocm-*/llvm*/bin/llvm-config; do \
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if [ -x "$p" ]; then LLVM_CONFIG_PATH="$p"; break; fi; \
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done; \
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if [ -z "$LLVM_CONFIG_PATH" ]; then \
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echo "[TileLang] ROCm llvm-config not found; installing LLVM 18..."; \
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curl -fsSL https://apt.llvm.org/llvm.sh -o /tmp/llvm.sh; \
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chmod +x /tmp/llvm.sh; \
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/tmp/llvm.sh 18; \
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LLVM_CONFIG_PATH="$(command -v llvm-config-18)"; \
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if [ -z "$LLVM_CONFIG_PATH" ]; then echo "ERROR: llvm-config-18 not found after install"; exit 1; fi; \
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fi; \
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echo "[TileLang] Using LLVM_CONFIG at: $LLVM_CONFIG_PATH"; \
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export PATH="$(dirname "$LLVM_CONFIG_PATH"):/usr/local/bin:${PATH}"; \
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export LLVM_CONFIG="$LLVM_CONFIG_PATH"; \
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\
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# Optional shim for tools that expect llvm-config-16
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mkdir -p /usr/local/bin && \
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printf "#!/usr/bin/env bash\nexec \"%s\" \"\$@\"\n" "$LLVM_CONFIG_PATH" > /usr/local/bin/llvm-config-16 && \
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chmod +x /usr/local/bin/llvm-config-16; \
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\
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# TVM Python bits need Cython
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python3 -m pip install --no-cache-dir "cython>=0.29.36,<3.0"; \
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\
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# Clone + pin TileLang (bundled TVM), then build
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git clone --recursive --branch "${TILELANG_BRANCH}" "${TILELANG_REPO}" /opt/tilelang && \
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cd /opt/tilelang && \
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git fetch --depth=1 origin "${TILELANG_COMMIT}" || true && \
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git checkout -f "${TILELANG_COMMIT}" && \
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git submodule update --init --recursive && \
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export CMAKE_ARGS="-DLLVM_CONFIG=${LLVM_CONFIG} ${CMAKE_ARGS:-}" && \
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bash ./install_rocm.sh; \
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else \
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# Build GoogleTest static libs (Ubuntu package ships sources only)
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apt-get install -y libgtest-dev libgmock-dev && \
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cmake -S /usr/src/googletest -B /tmp/build-gtest -DBUILD_GTEST=ON -DBUILD_GMOCK=ON -DCMAKE_BUILD_TYPE=Release && \
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cmake --build /tmp/build-gtest -j && \
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cp -v /tmp/build-gtest/lib/*.a /usr/lib/x86_64-linux-gnu/ && \
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rm -rf /tmp/build-gtest; \
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# Build TileLang for gfx942-rocm700
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git clone --branch "${TILELANG_GFX942_BRANCH}" "${TILELANG_GFX942_REPO}" /opt/tilelang && \
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cd /opt/tilelang && \
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git checkout -f "${TILELANG_GFX942_COMMIT}" && \
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git submodule update --init --recursive && \
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sed -i "/^[[:space:]]*\"torch/d" pyproject.toml && \
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USE_ROCM=1 USE_CUDA=0 pip install -e . -v ; \
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fi'
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# -----------------------
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# Hadamard-transform (HIP build)
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@@ -4,8 +4,12 @@ import torch
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import triton
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import triton.language as tl
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from sglang.srt.layers.quantization.fp8_kernel import is_fp8_fnuz
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from sglang.srt.utils import is_hip
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_is_hip = is_hip()
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_is_fp8_fnuz = is_fp8_fnuz()
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if TYPE_CHECKING:
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from sglang.srt.mem_cache.memory_pool import NSATokenToKVPool
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@@ -349,21 +353,24 @@ def _set_k_and_s_triton(
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raise ValueError(
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f"index_k_scale must be 1D or 2D, got shape {index_k_scale.shape}"
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)
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if is_hip():
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if _is_hip:
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assert buf_numel_per_page == 1 * (128 + 4)
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else:
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assert buf_numel_per_page == 64 * (128 + 4)
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assert num_tokens_to_write == num_tokens_to_write_ == num_tokens_to_write__
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assert index_head_dim == 128
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assert scale_dim == 1
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if is_hip():
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if _is_hip:
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assert page_size == 1
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else:
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assert page_size == 64
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assert buf.dtype == torch.uint8
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assert loc.dtype == torch.int64, f"{loc.dtype=}" # can be int32
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assert index_k.dtype == torch.float8_e4m3fn
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if _is_fp8_fnuz:
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assert index_k.dtype == torch.float8_e4m3fnuz
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else:
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assert index_k.dtype == torch.float8_e4m3fn
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assert index_k_scale.dtype == torch.float32
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assert buf.is_contiguous()
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@@ -371,7 +378,10 @@ def _set_k_and_s_triton(
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assert index_k.is_contiguous()
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assert index_k_scale.is_contiguous()
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buf_fp8 = buf.view(torch.float8_e4m3fn)
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if _is_fp8_fnuz:
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buf_fp8 = buf.view(torch.float8_e4m3fnuz)
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else:
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buf_fp8 = buf.view(torch.float8_e4m3fn)
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buf_fp32 = buf.view(torch.float32)
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_set_k_and_s_triton_kernel[(num_tokens_to_write,)](
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@@ -8,6 +8,7 @@ import torch
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from einops import rearrange
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from sglang.srt.layers.layernorm import LayerNorm
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from sglang.srt.layers.quantization.fp8_kernel import is_fp8_fnuz
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from sglang.srt.layers.utils import MultiPlatformOp
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from sglang.srt.utils import add_prefix, ceil_align, is_cuda, is_hip, is_npu
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@@ -15,6 +16,7 @@ global _use_multi_stream
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_is_cuda = is_cuda()
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_is_hip = is_hip()
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_is_npu = is_npu()
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_is_fp8_fnuz = is_fp8_fnuz()
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if _is_cuda:
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try:
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import deep_gemm
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@@ -504,8 +506,10 @@ class Indexer(MultiPlatformOp):
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)
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k_fp8_list.append(k_fp8)
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k_scale_list.append(k_scale)
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k_fp8 = torch.cat(k_fp8_list, dim=0).view(torch.float8_e4m3fn)
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if _is_fp8_fnuz:
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k_fp8 = torch.cat(k_fp8_list, dim=0).view(torch.float8_e4m3fnuz)
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else:
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k_fp8 = torch.cat(k_fp8_list, dim=0).view(torch.float8_e4m3fn)
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k_scale = torch.cat(k_scale_list, dim=0).view(torch.float32).squeeze(-1)
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kv_fp8 = (k_fp8, k_scale)
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ks, ke = metadata.get_indexer_kvcache_range()
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@@ -569,9 +573,9 @@ class Indexer(MultiPlatformOp):
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from aiter.ops.triton.fp8_mqa_logits import fp8_mqa_logits
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kv, scale = kv_fp8
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logits = fp8_mqa_logits(
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logits_chunk = fp8_mqa_logits(
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q_fp8[start:end],
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kv_fp8,
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kv,
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scale,
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weights[start:end],
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ks[start:end],
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@@ -1001,11 +1005,12 @@ class Indexer(MultiPlatformOp):
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.view(m, ng, group)
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.mul_(x_s.to(torch.float32).unsqueeze(-1))
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.view(m, n)
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.to(torch.bfloat16)
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)
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else:
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x_for_gate = x_q.to(torch.float32)
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x_for_gate = x_q.to(torch.bfloat16)
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else:
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x_for_gate = x_q.to(torch.float32)
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x_for_gate = x_q.to(torch.bfloat16)
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else:
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x_for_gate = x
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@@ -4,21 +4,28 @@ import tilelang
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import tilelang.language as T
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import torch
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from sglang.srt.utils import is_hip
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from sglang.srt.layers.quantization.fp8_kernel import is_fp8_fnuz
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from sglang.srt.utils import is_gfx95_supported, is_hip
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tilelang.set_log_level("WARNING")
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pass_configs = {
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tilelang.PassConfigKey.TL_DISABLE_WARP_SPECIALIZED: True,
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tilelang.PassConfigKey.TL_DISABLE_TMA_LOWER: True,
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tilelang.PassConfigKey.TL_DISABLE_FAST_MATH: True,
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}
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BF16 = "bfloat16"
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FP8 = "float8_e4m3"
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FP32 = "float32"
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# TL_DISABLE_FAST_MATH has deprecated in v0.1.7.post1 tilelang
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if hasattr(tilelang.PassConfigKey, "TL_DISABLE_FAST_MATH"):
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pass_configs[tilelang.PassConfigKey.TL_DISABLE_FAST_MATH] = True
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elif hasattr(tilelang.PassConfigKey, "TL_ENABLE_FAST_MATH"):
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pass_configs[tilelang.PassConfigKey.TL_ENABLE_FAST_MATH] = False
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_is_hip = is_hip()
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_is_gfx95_supported = is_gfx95_supported()
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_is_fp8_fnuz = is_fp8_fnuz()
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BF16 = "bfloat16"
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FP8 = "float8_e4m3fnuz" if _is_fp8_fnuz else "float8_e4m3"
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FP32 = "float32"
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def fast_log2_ceil(x):
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@@ -42,8 +49,8 @@ def act_quant_kernel(
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N, in_dtype=BF16, out_dtype=FP8, scale_dtype=FP32, round_scale=False
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):
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M = T.symbolic("M")
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fp8_min = -448.0
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fp8_max = 448.0
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fp8_min = -224.0 if _is_fp8_fnuz else -448.0
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fp8_max = 224.0 if _is_fp8_fnuz else 448.0
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fp8_max_inv = 1 / fp8_max
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num_stages = 0 if round_scale else 2
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blk_m = 32
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@@ -108,7 +115,10 @@ def act_quant(
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x.size(-1) % block_size == 0
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), f"Last dimension size must be divisible by block_size (block_size={block_size})"
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N = x.size(-1)
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y = torch.empty_like(x, dtype=torch.float8_e4m3fn)
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if _is_fp8_fnuz:
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y = torch.empty_like(x, dtype=torch.float8_e4m3fnuz)
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else:
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y = torch.empty_like(x, dtype=torch.float8_e4m3fn)
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s = x.new_empty(*x.size()[:-1], N // block_size, dtype=torch.float32)
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kernel = act_quant_kernel(N, round_scale=scale_fmt is not None)
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kernel(x.view(-1, N), y.view(-1, N), s.view(-1, N // block_size))
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@@ -777,9 +787,21 @@ def tilelang_sparse_fwd(
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topk = indices.shape[-1]
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assert topk == 2048
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if _is_hip:
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kernel = sparse_attention_fwd_kernel_v1(
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num_heads, d_v, tail_dim, topk, sm_scale=sm_scale, num_stages=1
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)
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if _is_gfx95_supported:
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kernel = sparse_attention_fwd_kernel_v1(
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num_heads, d_v, tail_dim, topk, sm_scale=sm_scale, num_stages=1
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)
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else: # reduce LDS usage on gfx942 target
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kernel = sparse_attention_fwd_kernel_v1(
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num_heads,
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d_v,
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tail_dim,
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topk,
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sm_scale=sm_scale,
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block_I=32,
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num_stages=1,
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threads=128,
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)
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else:
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kernel = sparse_attention_fwd_kernel_v2(
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num_heads, d_v, tail_dim, topk, sm_scale=sm_scale
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