// IntPerLayer-DAG: "tf.DumpTensor"(%[[output1_quantized]]) <{enabled = true, file_name = "quantized_tensor_data.pb", func_name = "conv", log_dir_path = "/tmp/dumps/composite_conv2d_with_bias_and_relu6_fn_1", node_name = "Conv2D_1"}> : (tensor<*xf32>) -> ()

// WholeModel-DAG: "tf.DumpTensor"(%[[matmul0_q]]) <{enabled = true, file_name = "unquantized_tensor_data.pb", func_name = "composite_dot_general_with_bias_and_relu6_dynamic_fn_2", log_dir_path = "/tmp/dumps/composite_dot_general_with_bias_and_relu6_dynamic_fn_2", node_name = "_empty_node"}>...

  // NEXT ID: 4
  enum DebuggerType {
    DEBUGGER_TYPE_UNSPECIFIED = 0;
    // DEBUGGER_TYPE_WHOLE_MODEL creates two tf.Savedmodel - unquantized and
    // quantized model with DumpTensor added to outputs of quantizable layers.
    // The DumpTensor dumps entire value of its input to a specified file. When
    // DEBUGGER_TYPE_WHOLE_MODEL is used unquantized_dump_model_path has to be
    // specified.
    DEBUGGER_TYPE_WHOLE_MODEL = 1;

    // the commandline for example).
    return "quant-add-dump-tensor-op";
  }

  StringRef getDescription() const final {
    // This is a brief description of the pass.
    return "Add DumpTensor ops after quantizable ops";
  }

  void getDependentDialects(DialectRegistry &registry) const override {
    registry.insert<TF::TensorFlowDialect>();
    registry.insert<quant::QuantizationDialect>();

  // debugger type is `DEBUGGER_TYPE_WHOLE_MODEL`. This is required
  // because in whole-model debugging mode the `DumpTensor` ops for the
  // unquantized tensors are only inserted in the unquantized model
  // whereas `DumpTensor` ops for the quantized tensors are only inserted
  // in the quantized model. Both models are required to be able to dump

        "//tensorflow/compiler/mlir/quantization/tensorflow/cc:run_passes",
        "//tensorflow/compiler/mlir/quantization/tensorflow/debugging:dump_tensor_op",  # Required for DumpTensor op registration.
        "//tensorflow/compiler/mlir/tensorflow:mlir_import_options",
        "//tensorflow/compiler/mlir/tensorflow:translate_lib",
        "//tensorflow/compiler/mlir/tensorflow/transforms:tf_dialect_passes",