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Optinal activation quant #14
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mlinmg
reviewed
May 20, 2024
| def bitmat(W: torch.Tensor, X: torch.Tensor, scale_w) -> torch.Tensor: | ||
| return BitMat.apply(W, X, scale_w) | ||
| def bitmat(W: torch.Tensor, X: torch.Tensor, scale_w,quant_8bit_activations=None) -> torch.Tensor: | ||
| quant_8bit_activations = quant_8bit_activations if quant_8bit_activations is not None else BITMAT_QUANT_8BIT_ACTIVATIONS |
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I don't like that is is been passed as a env var
GiacomoLeoneMaria
approved these changes
May 20, 2024
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kernel is giving nan when activation are quantized in 8bit, adding way to optionally run quantize activations