message: Resubmitting Sachin's PR
diff: @@ -2039,8 +2039,8 @@ static Status TranslateFusedConv2DOp(
  ng_padding_above);
  ng_conv = ConstructNgNode<ng::op::Convolution>(
  - op->name(), ng_input, ng_filter, ng_strides, ng_dilations,
  - ng_padding_below, ng_padding_above);
  + op->name() + "_FusedConv2D_Conv", ng_input, ng_filter, ng_strides,
  + ng_dilations, ng_padding_below, ng_padding_above);
  return Status::OK();
  };
  @@ -2082,13 +2082,15 @@ static Status TranslateFusedConv2DOp(
  }
  auto ng_bias_broadcasted = ConstructNgNode<ng::op::Broadcast>(
  - op->name(), ng_bias, ng_conv_shape, ng_broadcast_axes);
  - auto ng_add =
  - ConstructNgNode<ng::op::Add>(op->name(), ng_conv, ng_bias_broadcasted);
  + op->name() + "_FusedConv2D_BiasAdd", ng_bias, ng_conv_shape,
  + ng_broadcast_axes);
  + auto ng_add = ConstructNgNode<ng::op::Add>(
  + op->name() + "_FusedConv2D_BiasAdd", ng_conv, ng_bias_broadcasted);
  if (VecStrCmp(fused_ops, {"BiasAdd", "Relu"})) {
  SaveNgOp(ng_op_map, op->name(),
  - ConstructNgNode<ng::op::Relu>(op->name(), ng_add));
  + ConstructNgNode<ng::op::Relu>(op->name() + "_FusedConv2D_Relu",
  + ng_add));
  } else {
  SaveNgOp(ng_op_map, op->name(), ng_add);
  }
  @@ -2111,14 +2113,15 @@ static Status TranslateFusedConv2DOp(
  std::shared_ptr<ng::Node> ng_batch_norm =
  ConstructNgNode<ng::op::BatchNormInference>(
  - op->name(), tf_epsilon, ng_scale, ng_offset, ng_conv, ng_mean,
  - ng_variance);
  + op->name() + "_FusedConv2D_BatchNorm", tf_epsilon, ng_scale,
  + ng_offset, ng_conv, ng_mean, ng_variance);
  BatchToTensorflow(is_nhwc, ng_batch_norm);
  if (VecStrCmp(fused_ops, {"FusedBatchNorm", "Relu"})) {
  SaveNgOp(ng_op_map, op->name(),
  - ConstructNgNode<ng::op::Relu>(op->name(), ng_batch_norm));
  + ConstructNgNode<ng::op::Relu>(
  + op->name() + "_FusedConv2D_BatchNormRelu", ng_batch_norm));
  } else {
  SaveNgOp(ng_op_map, op->name(), ng_batch_norm);
  }
  