message: [TF:TRT] Minor code cleanup.
  Remove a NodeDef parameter from a few routines.
diff: @@ -5417,12 +5417,13 @@ Status ConvertGather(OpConverterParams* params) {
  Status ConvertFullyConnectedHelper(OpConverterParams* params,
  nvinfer1::ITensor* tensor_a,
  TRT_ShapedWeights weights_b,
  - bool transpose_b, const NodeDef& node_def) {
  + bool transpose_b) {
  // Reshape input to 3D - this will be a no-op unless using int8 precision.
  auto input_dim = tensor_a->getDimensions();
  while (input_dim.nbDims < 3) {
  input_dim.d[input_dim.nbDims++] = 1;
  }
  + const auto& node_def = params->node_def;
  TF_RETURN_IF_ERROR(PrepareTensorForShape(
  params->converter, TRT_TensorOrWeights(tensor_a), input_dim,
  /*validation_only=*/false, &tensor_a, node_def, /*op_instance=*/0));
  @@ -5459,7 +5460,7 @@ Status ConvertFullyConnectedHelper(OpConverterParams* params,
  Status ConvertMatMulHelper(OpConverterParams* params,
  TRT_TensorOrWeights input_a,
  TRT_TensorOrWeights input_b, bool transpose_a,
  - bool transpose_b, const NodeDef& node_def) {
  + bool transpose_b) {
  // TODO: ReorderCKtoKC is currently not general enough to transpose weights
  // that are not 2D.
  if ((transpose_a && input_a.is_weights() &&
  @@ -5496,8 +5497,8 @@ Status ConvertMatMulHelper(OpConverterParams* params,
  // does not support int8 at this time.
  if (should_use_fc || (can_use_fc && params->converter->precision_mode() ==
  TrtPrecisionMode::INT8)) {
  - return ConvertFullyConnectedHelper(
  - params, input_a.tensor(), input_b.weights(), transpose_b, node_def);
  + return ConvertFullyConnectedHelper(params, input_a.tensor(),
  + input_b.weights(), transpose_b);
  }
  const auto get_matrix_op = [](nvinfer1::ITensor* in,
  @@ -5537,6 +5538,7 @@ Status ConvertMatMulHelper(OpConverterParams* params,
  *tensor_a, get_matrix_op(tensor_a, transpose_a), *tensor_b,
  get_matrix_op(tensor_b, transpose_b));
  + const auto& node_def = params->node_def;
  TFTRT_RETURN_ERROR_IF_NULLPTR(layer, node_def.name());
  params->converter->SetLayerName(layer, node_def);
  nvinfer1::ITensor* output_tensor = layer->getOutput(0);
  @@ -5561,7 +5563,7 @@ Status ConvertMatMul(OpConverterParams* params) {
  bool transpose_b = attrs.get<bool>("transpose_b");
  return ConvertMatMulHelper(params, inputs.at(0), inputs.at(1), transpose_a,
  - transpose_b, node_def);
  + transpose_b);
  }
  Status ConvertBatchMatMul(OpConverterParams* params) {
  @@ -5633,7 +5635,7 @@ Status ConvertBatchMatMul(OpConverterParams* params) {
  return ConvertMatMulHelper(params, TRT_TensorOrWeights(tensor_l),
  TRT_TensorOrWeights(tensor_r), transpose_a,
  - transpose_b, node_def);
  + transpose_b);
  }
  Status ConvertSoftmax(OpConverterParams* params) {
  