Auto AWQ kernel selection for Transformers compat #2214
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| pytest.skip(f"Triton backend is incompatible: {err}") | ||
| return torch.matmul(x, weight.to(x.dtype)) | ||
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| def run_fused_gemm(): |
Signed-off-by: ZX-ModelCloud <zx@modelcloud.ai>
Signed-off-by: ZX-ModelCloud <zx@modelcloud.ai>
| f"{duration:.3f}", | ||
| ) | ||
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| linear_layer = linear_layer.cpu() |
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| # if self.padded_infeatures != self.in_features: | ||
| # self.qweight.resize_(self.padded_infeatures // self.pack_dtype_bits * self.bits, self.out_features) | ||
| # self.qzeros.resize_( | ||
| # math.ceil(self.padded_infeatures / self.group_size), | ||
| # self.out_features // self.pack_dtype_bits * self.bits |
| from ...utils.logger import setup_logger | ||
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| log = setup_logger() |
| log = setup_logger() | ||
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| awq_ext, msg = try_import("gptqmodel_awq_kernels") | ||
| user_has_been_warned = False |
Signed-off-by: ZX-ModelCloud <zx@modelcloud.ai>
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hf_select_quant_linear_v2apiGEMM_TORCHGEMM_CUDAGEMM_TRITON