From e7fa690321db02febc59272b9ab8d9bfc33d0e1c Mon Sep 17 00:00:00 2001 From: Disty0 Date: Fri, 26 Dec 2025 20:10:55 +0300 Subject: [PATCH] cleanup --- modules/sdnq/dequantizer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/sdnq/dequantizer.py b/modules/sdnq/dequantizer.py index 015dd45a7..e058b04d1 100644 --- a/modules/sdnq/dequantizer.py +++ b/modules/sdnq/dequantizer.py @@ -174,7 +174,7 @@ def re_quantize_matmul_packed_float_asymmetric(weight: torch.ByteTensor, scale: @devices.inference_context() def re_quantize_matmul_packed_float_symmetric(weight: torch.ByteTensor, scale: torch.FloatTensor, shape: torch.Size, weights_dtype: str, matmul_dtype: str, result_shape: Optional[torch.Size] = None, svd_up: Optional[torch.FloatTensor] = None, svd_down: Optional[torch.FloatTensor] = None) -> Tuple[torch.Tensor, torch.FloatTensor]: - return re_quantize_matmul_symmetric(unpack_float(weight, shape, weights_dtype, dtype=scale.dtype), scale, matmul_dtype, svd_up=svd_up, svd_down=svd_down, result_shape=result_shape) + return re_quantize_matmul_symmetric(unpack_float(weight, shape, weights_dtype), scale, matmul_dtype, svd_up=svd_up, svd_down=svd_down, result_shape=result_shape) @devices.inference_context()