// CHECK-NEXT:      shape: [ 5 ],
// CHECK-NEXT:      buffer: 3,
// CHECK-NEXT:      name: "arith.constant",
// CHECK-NEXT:      quantization: {
// CHECK-EMPTY:
// CHECK-NEXT:      },
// CHECK-NEXT:      has_rank: true
// CHECK-NEXT:    }, {
// CHECK-NEXT:      shape: [ 5, 3 ],
// CHECK-NEXT:      buffer: 4,
// CHECK-NEXT:      name: "arith.constant1",
// CHECK-NEXT:      quantization: {
// CHECK-EMPTY:
// CHECK-NEXT:      },

    } : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<*xf32>
    return %0 : tensor<*xf32>
  }

// PerTensor-LABEL: func @depthwise_conv
// PerTensor-DAG: %[[CONST_0:.*]] = arith.constant dense<0.000000e+00> : tensor<6xf32>
// PerTensor: %[[CONST_1:.*]] = arith.constant dense
// PerTensor-NOT: tensor<2x3x1x6xf32>
// PerTensor-SAME: tensor<2x3x3x2xf32>

limitations under the License.
==============================================================================*/

#include "llvm/Support/raw_ostream.h"
#include "mlir/Dialect/Arith/IR/Arith.h"  // from @llvm-project
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "mlir/Tools/mlir-opt/MlirOptMain.h"  // from @llvm-project

  // CHECK-LABEL: init_all_tables
  func.func @init_all_tables()
  attributes {tf_saved_model.exported_names = ["__tf_saved_model_session_initializer"]} {
    %cst = arith.constant dense<[1, 2, 3, 4]> : tensor<4xi64>
    %cst_0 = arith.constant dense<["a", "b", "c", "d"]> : tensor<4x!tf_type.string>

// RUN: tf-opt -split-input-file -verify-diagnostics -tf-init-text-file-to-import %s | FileCheck %s

// Tests that the given vocabulary file does not exist.

func.func @init_all_tables() {
  %cst = arith.constant dense<"vocab_file_does_not_exist.txt"> : tensor<!tf_type.string>

#define TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_COMMON_UTILS_H_

#include "llvm/Support/Casting.h"
#include "mlir/Bytecode/BytecodeOpInterface.h"  // from @llvm-project
#include "mlir/Dialect/Arith/IR/Arith.h"  // from @llvm-project
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/Dialect/Quant/QuantTypes.h"  // from @llvm-project
#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project

include "mlir/IR/OpBase.td"
include "mlir/IR/PatternBase.td"
include "mlir/Dialect/Func/IR/FuncOps.td"
include "mlir/Dialect/Arith/IR/ArithOps.td"
include "tensorflow/compiler/mlir/quantization/common/attrs_and_constraints.td"
include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td"

// Converts tf.Const to arith.constant for statically shaped, non-opaque constants.
// Needed for QuantizationDriver to recognize constants.

include "mlir/IR/OpBase.td"
include "mlir/IR/PatternBase.td"
include "mlir/Dialect/Func/IR/FuncOps.td"
include "mlir/Dialect/Arith/IR/ArithOps.td"
include "tensorflow/compiler/mlir/quantization/common/attrs_and_constraints.td"
include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td"

// Converts reamaining arith.constant ops from quantization passes back to
// tf.Const ops.
def ConvertArithConstToTfConst : Pat<

include "mlir/IR/OpBase.td"
include "mlir/IR/PatternBase.td"
include "mlir/Dialect/Func/IR/FuncOps.td"
include "mlir/Dialect/Arith/IR/ArithOps.td"
include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td"
include "mlir/Dialect/Arith/IR/ArithOps.td"
include "tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.td"
include "tensorflow/compiler/mlir/quantization/common/attrs_and_constraints.td"

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include "mlir/Dialect/Arith/IR/Arith.h"  // from @llvm-project
#include "mlir/Dialect/Func/Extensions/AllExtensions.h"  // from @llvm-project
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project