remove transpose addmm weights hack

Differential Revision: D49129704

fbshipit-source-id: f692d1aaa2438ffa7a37b8b3914f43fc1193beb8

Author: mcr229

backends/xnnpack/operators/node_visitor.py

@@ -289,12 +289,6 @@ def define_tensor(
 
         # convert tensor shape must reflect memory format, default is contiguous, so
         # only permute shape if we are converting the tensor to nhwc format
-        if tensor.target in (
-            exir_ops.edge.aten.permute_copy.default,
-            exir_ops.edge.aten.t_copy.default,
-        ):
-            # We ignore transpose nodes and reverse the dims to before it
-            dims = dims[::-1]
         if swap_nc_for_depthwise_weights:
             dims = [dims[1], dims[0]] + dims[2:]
         if convert_to_nhwc:

backends/xnnpack/operators/op_addmm.py

@@ -22,7 +22,6 @@
 from executorch.backends.xnnpack.utils.xnnpack_constants import (
     XNN_FLAG_TRANSPOSE_WEIGHTS,
 )
-from executorch.exir.dialects._ops import ops as exir_ops
 
 
 @register_node_visitor
@@ -56,15 +55,7 @@ def define_node(
         # output
         output_id = vals_to_ids[node]
 
-        flag = (
-            0
-            if get_input_node(node, 2).target
-            in (
-                exir_ops.edge.aten.permute_copy.default,
-                exir_ops.edge.aten.t_copy.default,
-            )
-            else XNN_FLAG_TRANSPOSE_WEIGHTS
-        )
+        flag = XNN_FLAG_TRANSPOSE_WEIGHTS
 
         ser_node = XNode(
             xnode_union=XNNFullyConnected(