PassManager pm(&ctx);
  // Intermediate output from QuantizePass will have quantized ops
  // (XlaCallModuleOps) with quantized input and output types, which are not
  // allowed in the TF dialect.
  pm.enableVerifier(false);

  PrepareQuantizePassOptions options;
  options.enable_per_channel_quantized_weight_ =
      enable_per_channel_quantized_weight_;
  // Change this to user-given bit width once we have custom configuration.

    ModuleOp module, llvm::StringRef module_name) {
  PassManager tf_to_executor(module.getContext());
  ::tensorflow::applyTensorflowAndCLOptions(tf_to_executor);
  tf_to_executor.enableVerifier();
  AddTfDialectToExecutorPasses(tf_to_executor);

  if (VLOG_IS_ON(1) ||
      DEBUG_DATA_DUMPER()->ShouldDump(module_name.str(), kDebugGroupMain)) {
    ::tensorflow::DumpMlirOpToFile(

  // quantized input and output types, which are not allowed in TF dialect.
  // This can be removed when the composite call supports quantized types.
  pm.enableVerifier(false);

  QuantizationSpecs quant_specs;
  quant_specs.inference_type = tensorflow::DT_QINT8;
  quant_specs.disable_per_channel = !enable_per_channel_quantization_;