Fix AQT test (#3208)

fix AQT test

Author: danielvegamyhre

torchao/dtypes/affine_quantized_tensor_ops.py

@@ -462,7 +462,7 @@ def _(func, types, args, kwargs):
             getattr(self, tensor_name).copy_(getattr(src, tensor_name))
         return
     raise ValueError(
-        f"Not supported args for copy_ due to metadata mistach: {args[0], args[1]}"
+        f"Not supported args for copy_ due to metadata mismatch: {args[0], args[1]}"
     )
 
 

torchao/dtypes/floatx/cutlass_semi_sparse_layout.py

@@ -98,7 +98,7 @@ def __torch_dispatch__(cls, func, types, args, kwargs):
                     getattr(self, tensor_name).copy_(getattr(src, tensor_name))
                 return
             raise ValueError(
-                f"Not supported args for copy_ due to metadata mistach: {args[0], args[1]}"
+                f"Not supported args for copy_ due to metadata mismatch: {args[0], args[1]}"
             )
         elif func is aten.clone.default:
             return return_and_correct_aliasing(

torchao/dtypes/uintx/cutlass_int4_packed_layout.py

@@ -102,7 +102,7 @@ def __torch_dispatch__(cls, func, types, args, kwargs):
                     getattr(self, tensor_name).copy_(getattr(src, tensor_name))
                 return
             raise ValueError(
-                f"Not supported args for copy_ due to metadata mistach: {args[0], args[1]}"
+                f"Not supported args for copy_ due to metadata mismatch: {args[0], args[1]}"
             )
 
         raise NotImplementedError(

torchao/dtypes/uintx/gemlite_layout.py

@@ -406,7 +406,7 @@ def __torch_dispatch__(cls, func, types, args, kwargs):
                     self.gemlite_kwargs[key] = src.gemlite_kwargs[key]
                 return
             raise ValueError(
-                f"Not supported args for copy_ due to metadata mistach: {args[0], args[1]}"
+                f"Not supported args for copy_ due to metadata mismatch: {args[0], args[1]}"
             )
 
         raise NotImplementedError(

torchao/dtypes/uintx/plain_layout.py

@@ -144,7 +144,7 @@ def __torch_dispatch__(cls, func, types, args, kwargs):
                     getattr(self, tensor_name).copy_(getattr(src, tensor_name))
                 return
             raise ValueError(
-                f"Not supported args for copy_ due to metadata mistach: {args[0], args[1]}"
+                f"Not supported args for copy_ due to metadata mismatch: {args[0], args[1]}"
             )
 
         elif func is aten.t.default:

torchao/dtypes/uintx/q_dq_layout.py

@@ -163,7 +163,7 @@ def __torch_dispatch__(cls, func, types, args, kwargs):
                     getattr(self, tensor_name).copy_(getattr(src, tensor_name))
                 return
             raise ValueError(
-                f"Not supported args for copy_ due to metadata mistach: {args[0], args[1]}"
+                f"Not supported args for copy_ due to metadata mismatch: {args[0], args[1]}"
             )
 
         elif func is aten.t.default:

torchao/dtypes/uintx/tensor_core_tiled_layout.py

@@ -361,7 +361,7 @@ def __torch_dispatch__(cls, func, types, args, kwargs):
                     getattr(self, tensor_name).copy_(getattr(src, tensor_name))
                 return
             raise ValueError(
-                f"Not supported args for copy_ due to metadata mistach: {args[0], args[1]}"
+                f"Not supported args for copy_ due to metadata mismatch: {args[0], args[1]}"
             )
 
         if func in [aten.select.int, aten.index.Tensor]:

torchao/quantization/linear_activation_quantized_tensor.py

@@ -226,7 +226,7 @@ def _(func, types, args, kwargs):
         return
 
     raise ValueError(
-        f"Not supported args for copy_ due to metadata mistach: {args[0], args[1]}"
+        f"Not supported args for copy_ due to metadata mismatch: {args[0], args[1]}"
     )