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Merge 4e570a99a705502948c29519bebff9fb43ea079b into 592fd5daf8177b205af11651bbb31a1834a8b0e0

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Juan Pablo Valencia 2025-02-24 16:37:23 +08:00 committed by GitHub
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inference/model.py
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@ -143,8 +143,8 @@ def linear(x: torch.Tensor, weight: torch.Tensor, bias: Optional[torch.Tensor] =
quantization-aware computations depending on the input parameters.
Notes:
- If `weight` is quantized (e.g., `element_size() == 1`), a dequantized version
is used for computation.
- If `weight` is in a higher precision format (e.g., float32 or bfloat16), then `element_size() > 1`, and the original
weight tensor is used for computation.
- If `gemm_impl == "bf16"`, dequantization and a `bf16` GEMM operation are applied.
- For other cases, the function applies quantization to `x` and uses `fp8_gemm` for computation.
"""