// IntPerLayer-DAG: func.func private @composite_dot_general_with_bias_and_relu6_dynamic_fn_1_0

// FloatPerLayer-LABEL: func @matmul2
// FloatPerLayer-DAG: %[[b0:.*]] = stablehlo.constant dense<[-0.211145893
// FloatPerLayer-DAG: %[[w0:.*]] = stablehlo.constant dense<{{\[\[}}-0.630731344

          clEnumValN(DebuggerConfig::DEBUGGER_TYPE_INT_PER_LAYER,
                     "int_per_layer", "Int Per-layer verify"),
          clEnumValN(DebuggerConfig::DEBUGGER_TYPE_FLOAT_PER_LAYER,
                     "float_per_layer", "Float Per-layer verify"))};

  std::string log_dir_path_ = "/tmp/dumps";
};

template <typename LiftedOpT>
class AddDumpTensorOp : public OpRewritePattern<LiftedOpT> {
 public:

// IntPerLayer-DAG: return %[[output1_quantized]]

// FloatPerLayer-LABEL: func @multiple_conv2d
// FloatPerLayer-DAG: %[[b0:.*]] = "tf.Const"() <{value = dense<0.000000e+00>
// FloatPerLayer-DAG: %[[b1:.*]] = "tf.Const"() <{value = dense<1.000000e+00>
// FloatPerLayer-DAG: %[[w0:.*]] = "tf.Const"() <{value = dense<{{\[\[\[\[}}0.193340182, 0.285152316