message: Remove dead helper function TransposeInputForGroupConvolutionBackpropFilter
diff: @@ -85,32 +85,6 @@ xla::XlaOp TransposeFilterForGroupConvolutionBackpropInput(
  return result;
  }
  -// Returns the transposed input for use in BackpropFilter of group convolution.
  -xla::XlaOp TransposeInputForGroupConvolutionBackpropFilter(
  - xla::XlaOp input, const xla::Shape& input_shape, int64 num_groups,
  - int batch_dim, int depth_dim) {
  - // 1. Reshape the depth_dim C into [G, C/G]
  - int num_dims = input_shape.dimensions_size();
  - std::vector<int64> reshape_dims = xla::SpanToVector(input_shape.dimensions());
  - reshape_dims[depth_dim] = reshape_dims[depth_dim] / num_groups;
  - reshape_dims.insert(reshape_dims.begin() + depth_dim, num_groups);
  - xla::XlaOp result = xla::Reshape(input, reshape_dims);
  -
  - // 2. Transpose G to the axis before N, e.g.: [G, N, H, W, C/G]
  - std::vector<int64> transpose_dims(num_dims + 1);
  - std::iota(transpose_dims.begin(), transpose_dims.end(),
  - 0); // e.g.: [0, 1, 2, 3, 4] -> [N, H, W, G, C/G]
  - transpose_dims.erase(transpose_dims.begin() + depth_dim);
  - transpose_dims.insert(
  - transpose_dims.begin() + batch_dim,
  - depth_dim); // e.g.: [3, 0, 1, 2, 4] -> [G, N, H, W, C/G]
  - result = xla::Transpose(result, transpose_dims);
  -
  - // 3. Merge [G, N] to [G*N]
  - result = xla::Collapse(result, {batch_dim, batch_dim + 1});
  - return result;
  -}
  -
  // Reshapes a filter of shape [H, W, ..., M, N] to [H, W, ..., 1, M*N]. Used to
  // build a depthwise convolution.
  xla::XlaOp ReshapeFilterForDepthwiseConvolution(const xla::Shape& filter_shape,
  