Remove ReplaceTCopyWithTransform

backends/cadence/aot/replace_ops.py

@@ -283,31 +283,6 @@ def call_operator(self, op, args, kwargs, meta):
         return super().call_operator(op, args, kwargs, meta)
 
 
-@register_cadence_pass(CadencePassAttribute(opt_level=0))
-class ReplaceTCopyWithTransposePass(ExportPass):
-    """
-    Replace t_copy with transpose_copy.int. If the input is 1D, the t_copy is
-    a nop. t_copy is not supported, so this is an opt_level=0 pass.
-    """
-
-    def call_operator(self, op, args, kwargs, meta):
-        if get_edge_overload_packet(op) != exir_ops.edge.aten.t_copy:
-            return super().call_operator(op, args, kwargs, meta)
-
-        # Get the input tensor shape
-        in_tensor = args[0].to_tensor() if isinstance(args[0], ProxyValue) else args[0]
-
-        # If the input is a 1D tensor, this t_copy is a nop, so return the input
-        if in_tensor.dim() <= 1:
-            return args[0]
-
-        assert in_tensor.dim() == 2, "t_copy expects a tensor with <= 2 dimensions"
-        transpose_args = (args[0], 0, 1)
-        return super().call_operator(
-            exir_ops.edge.aten.transpose_copy.int, transpose_args, kwargs, meta
-        )
-
-
 @register_cadence_pass(CadencePassAttribute(opt_level=0))
 class ReplaceMMWithAddMMPass(ExportPass):
     """
@@ -2407,7 +2382,6 @@ class CadenceReplaceOpsInGraph:
     passes = [
         ReplaceEmptyTensorsWithFullPass,
         ReplaceFunctionallyEquivalentOpTargets,
-        ReplaceTCopyWithTransposePass,
         ReplacePermuteWithTransposePass,
         ReplaceScalarWithTensorArgPass,
         ReplaceConvolutionOptionalArgsWithConcreteArgsPass,

backends/cadence/aot/tests/test_replace_ops_passes.py

@@ -48,7 +48,6 @@
     ReplaceSingleElementTensorArgumentsFromFullOpWithScalarPass,
     ReplaceSplitWithSlicePass,
     ReplaceSqueezeAndUnsqueezeWithViewPass,
-    ReplaceTCopyWithTransposePass,
     ReplaceTransposedConvWithLinearPass,
     ReplaceTrivialConvWithLinear,
     ReplaceWhereWithFullArgsWithWhereScalar,
@@ -368,37 +367,6 @@ def forward(self, x: torch.Tensor):
             0,
         )
 
-    @parameterized.expand(
-        [
-            [(16, 32)],
-            [(1, 240)],
-            [(4, 16)],
-        ]
-    )
-    @torch.no_grad()
-    def test_replace_t_copy_with_transpose(self, shape: Tuple[int]):
-        class TCopy(torch.nn.Module):
-            def forward(self, x: torch.Tensor):
-                return exir_ops.edge.aten.t_copy(x)
-
-        w = torch.randn(shape)
-        inputs = (w,)
-        p1 = ReplaceTCopyWithTransposePass()
-        p2 = ReplacePermuteWithTransposePass()
-        model = TCopy()
-        graph_module = export_to_edge(model, inputs).exported_program().graph_module
-        graph_after_passes = cast(
-            PassResult, p2(cast(PassResult, p1(graph_module)).graph_module)
-        ).graph_module
-        self.assertEqual(
-            count_node(graph_after_passes, exir_ops.edge.aten.transpose_copy.int),
-            1,
-        )
-        self.assertEqual(
-            count_node(graph_after_passes, exir_ops.edge.aten.t_copy),
-            0,
-        )
-
     @parameterized.expand(
         [
             [(1, 8, 33), 8, 16, 3],