Delete unnecessary comments

dkscksals12 · Jan 5, 2023 · d31834e · d31834e
1 parent 3cbf4a7
commit d31834e
Showing 1 changed file with 0 additions and 49 deletions.
diff --git a/onnx2tf/ops/Transpose.py b/onnx2tf/ops/Transpose.py
@@ -163,55 +163,6 @@ def make_node(
         **kwargs,
     )
 
-    # # Special Transpose
-    # # https://zenn.dev/pinto0309/scraps/cfb59856ac0453
-    # # Get dimension with 1 element
-    # x_shape_one_dims = [
-    #     idx for idx in range(len(input_tensor_shape)) \
-    #         if isinstance(input_tensor_shape[idx], int) and input_tensor_shape[idx]==1
-    # ]
-    # x_shape_none_dims_count = len(
-    #     [dim for dim in input_tensor_shape if not isinstance(dim, int) or dim < 1]
-    # )
-    # # Delete dimension with 1 element
-    # squeezed_original_x = tf.squeeze(input_tensor, x_shape_one_dims)
-    # # Obtain a shape with the dimension with 1 element removed
-    # squeezed_original_shapes = squeezed_original_x.shape
-
-    # # Generation of TF OP
-    # if tensor_rank >= 6 and len(squeezed_original_shapes) <= 5 and x_shape_none_dims_count < 2:
-    #     # Special Transpose
-    #     # Suppresses as much as possible the conversion of transposes
-    #     # of 6 or more dimensions into FlexTransposes
-    #     remove_one_target_perm = [
-    #         idx for idx in perm if idx not in x_shape_one_dims
-    #     ]
-    #     sorted_remove_one_target_perm = sorted(remove_one_target_perm)
-    #     replaced_remove_one_target_perm = [
-    #         sorted_remove_one_target_perm.index(idx) \
-    #             for idx in remove_one_target_perm
-    #     ]
-    #     transposed_no_one_data = \
-    #         tf.transpose(
-    #             a=squeezed_original_x,
-    #             perm=replaced_remove_one_target_perm,
-    #         )
-    #     tf_layers_dict[graph_node_output.name]['tf_node'] = \
-    #         tf.reshape(
-    #             tensor=transposed_no_one_data,
-    #             shape=[
-    #                 dim if not isinstance(dim, str) else -1 for dim in output_shape
-    #             ],
-    #         )
-    # else:
-    #     # Normal Transpose
-    #     tf_layers_dict[graph_node_output.name]['tf_node'] = \
-    #         tf.transpose(
-    #             a=input_tensor,
-    #             perm=perm,
-    #             name=graph_node.name,
-    #         )
-
     tf_layers_dict[graph_node_output.name]['tf_node'] = \
         transpose_with_flexing_deterrence(
             input_tensor=input_tensor,