1. 20 Apr, 2024 2 commits
    • Noam Gat's avatar
    • Cody Yu's avatar
      [Kernel][FP8] Initial support with dynamic per-tensor scaling (#4118) · a22cdea3
      Cody Yu authored
      Provide an initial support to FP8 computation. This PR is inspired by HuggingFace TGI: huggingface/text-generation-inference#1726
      
      This feature can be enabled with --quantization fp8 or -q fp8 when launching an engine.
      
      Algorithm:
      We still load a model checkpoint in FP16/BF16. After the weights are loaded, Fp8LinearMethod calculates the per-tensor scaling factor of weights and quantizes the weights accordingly. The scaling factor will then be stored for future use. Meanwhile, the per-tensor scaling factor for activations is calculated in every forward pass.
      
      Initial Results:
      Currently tested Mistral-7B on 1xH100. With prompt length ~5 and decoding length 128:
      
      BF16: 1.47s
      FP8: 1.66s
      I'll try to use larger models and try to find more performance bottleneck. Meanwhile, you're welcome to try this code.
      a22cdea3
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