mirror of
https://github.com/deepseek-ai/FlashMLA
synced 2025-06-26 18:15:54 +00:00
e0557deb3a
Changes: 1. Implement flashMLA with matrix absorption algorithm via flashAttn2 2. Add golden test on MXMACA platform
28 lines
903 B
Markdown
28 lines
903 B
Markdown
# FlashMLA on MXMACA
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We provide the implementation of FlashMLA from FlashAttention-2(version 2.6.3), based on MACA toolkit and C500 chips.
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FlashAttention-2 currently supports:
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1. Datatype fp16 and bf16.
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2. Multi-Token Parallelism = 1
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3. Paged kvcache with block size equal to 2^n (n >= 0)
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## How to run on MXMACA Device
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## Installation
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Requirements:
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- MXMACA GPUs.
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- MACA development toolkit.
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- Mctlass source code.
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- Pytorch2.0 from maca toolkit wheel package and above.
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To install flash attn in conda env:
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1. Make sure that maca pyTorch2.0 is installed.
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2. Download mctlass source code from: https://sw-download.metax-tech.com/
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### Set environment variables
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```bash
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export MACA_PATH=/your/maca/path
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export CUDA_PATH=$MACA_PATH/tools/cu-bridge
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export MACA_CLANG_PATH=$MACA_PATH/mxgpu_llvm/bin
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export LD_LIBRARY_PATH=$MACA_PATH/lib:$MACA_PATH/mxgpu_llvm/lib:$MACA_PATH/ompi/lib:$LD_LIBRARY_PATH
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``` |