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revert .t_().contiguous().t_()

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Disty0
2025-08-17 05:19:44 +03:00
parent 8460be662c
commit 85d494ee84
1 changed files with 1 additions and 1 deletions
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modules/sdnq/__init__.py
+1 -1
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@@ -164,7 +164,7 @@ def sdnq_quantize_layer(layer, weights_dtype="int8", torch_dtype=None, group_siz
if not dtype_dict[weights_dtype]["is_integer"]:
stride = layer.weight.stride()
if stride[0] > stride[1] and stride[1] == 1:
layer.weight.data = layer.weight.t_().contiguous().t_()
layer.weight.data = layer.weight.t().contiguous().t()
if not use_tensorwise_fp8_matmul:
scale = scale.to(torch.float32)