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

#include "llvm/FileCheck/FileCheck.h"
#include "llvm/Support/SourceMgr.h"
#include "pybind11/pybind11.h"  // from @pybind11
#include "pybind11/stl.h"  // from @pybind11
#include "tensorflow/python/lib/core/pybind11_lib.h"

// RUN: tf-mlir-translate -mlir-tf-to-hlo-text %s -tf-input-shapes=: -tf-xla-emit-use-tuple-args -tf-xla-emit-return-tuple | FileCheck -check-prefix=TUPLE-ARGS %s
// RUN: tf-mlir-translate -mlir-tf-to-hlo-text %s -tf-input-shapes=: | FileCheck -check-prefix=NO_RET_TUPLE %s
// RUN: tf-mlir-translate -mlir-tf-to-hlo-text-via-builder %s -tf-input-shapes=: | FileCheck -check-prefix=NO_RET_TUPLE %s

// RUN: odml-to-stablehlo-opt %s --tf-stablehlo=skip-quantization-ops=true | FileCheck %s --check-prefix=CHECK-SKIP
// RUN: odml-to-stablehlo-opt %s --tf-stablehlo=skip-quantization-ops=false | FileCheck %s --check-prefix=CHECK-NOSKIP

func.func @fake_quant_with_min_max_vars(%arg0: tensor<1x1x28x48xf32>, %arg1: tensor<f32>, %arg2: tensor<f32>) -> tensor<1x1x28x48xf32> {

            "new File(\"${filePath}\").$checkKind()"
        }
    }

    static FileCheck fileExists(String filePath) {
        new FileCheck(filePath, "exists")
    }

    static FileCheck fileIsFile(String filePath) {
        new FileCheck(filePath, "isFile")
    }

    static FileCheck fileIsDirectory(String filePath) {
        new FileCheck(filePath, "isDirectory")
    }

// TODO(b/329300758): re-enable filecheck | FileCheck %s
// Tests -input-arrays flag.

func.func @main(%arg0: tensor<4xf32>) -> tensor<4xf32> {
  %0 = "tfl.pseudo_const" () {value = dense<1.0> : tensor<4xf32>} : () -> tensor<4xf32> loc("Const")

// RUN: odml_to_stablehlo %s -skip-resize -smuggle-disallowed-ops -o - | FileCheck %s
// RUN: odml-to-stablehlo-opt %s --smuggle-disallowed-ops-pass | FileCheck %s --check-prefix=CHECK-OPT

// CHECK-LABEL: @main
module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 975 : i32}, tf_saved_model.semantics}  {

// RUN: tf-mlir-translate -mlir-tf-to-hlo-text %s -tf-input-shapes=: -tf-xla-emit-use-tuple-args -tf-xla-emit-return-tuple | FileCheck %s
// RUN: tf-mlir-translate -mlir-tf-to-hlo-text %s -tf-input-shapes=: | FileCheck -check-prefix=NO_TUPLES %s
// RUN: tf-mlir-translate -mlir-tf-to-hlo-text-via-builder %s -tf-input-shapes=: | FileCheck -check-prefix=NO_TUPLES %s

module attributes {tf.versions = {producer = 179 : i32}} {
  func.func @main() -> (tensor<0xi32>, tensor<0xi32>) {

// RUN: tf-opt "-xla-legalize-tf=use-tf2xla-fallback=true device-type=XLA_CPU_JIT" -verify-diagnostics %s | FileCheck --check-prefix SUPPORTED_FALLBACK_DEVICE %s
// RUN: tf-opt "-xla-legalize-tf=use-tf2xla-fallback=true" %s | FileCheck --check-prefix UNSPECIFIED_FALLBACK_DEVICE %s
// RUN: tf-opt "-xla-legalize-tf=use-tf2xla-fallback=true device-type=INVALID_DEVICE_TYPE" %s | FileCheck --check-prefix UNSUPPORTED_FALLBACK_DEVICE %s

// We run this test four times:

// RUN: odml-to-stablehlo-opt %s --tf-stablehlo=skip-partitioned-calls=true | FileCheck %s --check-prefix=CHECK-SKIP
// RUN: odml-to-stablehlo-opt %s --tf-stablehlo=skip-partitioned-calls=false | FileCheck %s --check-prefix=CHECK-NOSKIP

module {
  func.func @partitioned_call(%arg0: tensor<1x2x2x3xf32>) -> (tensor<1x2x2x3xf32>) {
    %0 = "tf.StatefulPartitionedCall"(%arg0) <{
      config = "", config_proto = "", executor_type = "", f = @some_func
    }> {

// RUN: tf-mlir-translate -mlir-tf-to-hlo-text %s -tf-input-shapes=8,16,16,64:64 -tf-xla-emit-use-tuple-args -tf-xla-emit-return-tuple | FileCheck %s
// RUN: tf-mlir-translate -mlir-tf-to-hlo-text-via-builder %s -tf-input-shapes=8,16,16,64:64 | FileCheck %s

module attributes {tf.versions = {producer = 179 : i32}} {