%25 = "tf.StridedSlice"(%24#0, %15, %5, %16) {begin_mask = 1 : i64, device = "", ellipsis_mask = 0 : i64, end_mask = 0 : i64, new_axis_mask = 0 : i64, shrink_axis_mask = 0 : i64} : (tensor<2xi64>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<1xi64>
  %26 = "tf.AddV2"(%25, %13) {device = ""} : (tensor<1xi64>, tensor<i64>) -> tensor<1xi64>

 ExpandDims 1
 ReverseSequence 1
 Shape 1
 StridedSlice 1
 Transpose 3
cluster 6 size 11
 Cast 1
 Const 5
 GatherV2 1
 Shape 1
 StridedSlice 1
 Transpose 1
 ZerosLike 1
cluster 7 size 33
 All 2
 Cast 1
 Const 17
 Equal 2
 ExpandDims 2
 GatherV2 1
 Identity 1
 ReverseSequence 1
 Shape 2
 StridedSlice 2
 Transpose 2
cluster 8 size 11
 Cast 1
 Const 4

  %0 = "tf.StridedSlice"(%arg0, %cst, %cst, %cst_0) {begin_mask = 6 : i64, ellipsis_mask = 0 : i64, end_mask = 6 : i64, new_axis_mask = 9 : i64, shrink_axis_mask = 0 : i64} : (tensor<?x?xf32>, tensor<4xi32>, tensor<4xi32>, tensor<4xi32>) -> tensor<1x?x?x1xf32>
  func.return %0 : tensor<1x?x?x1xf32>

  // CHECK-NOT: "tf.Reshape"
  // CHECK: "tf.StridedSlice"
}

// CHECK-LABEL: @StridedSliceRewriteMasks

            1);
  EXPECT_EQ(
      collected_errors.count(NewConverterErrorData(
          "MockFailurePass",
          "Failed at tf.StridedSlice op\nsee current operation: %2 = "
          "\"tf.StridedSlice\"(%arg0, %1, %1, %0) <{begin_mask = 11 : "
          "i64, ellipsis_mask = 0 : i64, end_mask = 11 : i64, new_axis_mask = "
          "4 : i64, shrink_axis_mask = 0 : i64}> {device = \"\"} : "

func.func @strided_slice(%arg0 : tensor<*xf32>) -> tensor<*xf32> {
  %18 = "tf.Const"() {value = dense<1> : tensor<4xi32>} : () -> tensor<4xi32>
  %57 = "tf.Const"() {value = dense<0> : tensor<4xi32>} : () -> tensor<4xi32>
  %534 = "tf.StridedSlice"(%arg0, %57, %57, %18) {begin_mask = 11 : i64, device = "", ellipsis_mask = 0 : i64, end_mask = 11 : i64, new_axis_mask = 4 : i64, shrink_axis_mask = 0 : i64} : (tensor<*xf32>, tensor<4xi32>, tensor<4xi32>, tensor<4xi32>) -> tensor<*xf32>

  // y = x[2:6:2, 1:3, 1:3]
  auto y = StridedSlice(scope_, x, {2, 1, 1}, {6, 3, 3}, {2, 1, 1});
  // y.shape = [2, 2, 2];
  RunTest(x, x_shape, y, {2, 2, 2});

  // y = x[2:6:2, 1:3, 1:3]
  // begin_mask = 1<<1 (ignore begin_index = 1)
  // end_mask = 1<<2 (ignore end_index = 2)
  y = StridedSlice(scope_, x, {2, 1, 1}, {6, 3, 3}, {2, 1, 1},
                   StridedSlice::BeginMask(1 << 1).EndMask(1 << 2));

  %output = "tf.StridedSlice"(%input, %begin, %end, %strides)

// due to superficial changes that don't affect tensor shapes.
//
// Future Work TODO(b/111210515)
// -----------------------------
//
// In the future we will also translate StridedSlice and Pad a similar way.
class IncreaseDynamismForAutoJitPass : public GraphOptimizationPass {
 public:
  Status Run(const GraphOptimizationPassOptions& options) override;
};

}  // namespace tensorflow

    // expected-remark@+1 {{Cost: 1}}
    %9 = "tf.StridedSlice"(%8, %5, %4, %4) {begin_mask = 0 : i64, device = "/job:localhost/replica:0/task:0/device:CPU:0", ellipsis_mask = 0 : i64, end_mask = 0 : i64, new_axis_mask = 0 : i64, shrink_axis_mask = 1 : i64} : (tensor<4xi32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<i32>
    // expected-remark@+1 {{Cost: 1}}

    "ShapeN",
    "Size",
    "Slice",
    "Snapshot",
    "SpaceToBatch",
    "SpaceToBatchND",
    "SpaceToDepth",
    "Split",
    "SplitV",
    "Squeeze",
    "StopGradient",
    "StridedSlice",
    "StridedSliceGrad",
    "TensorScatterAdd",
    "TensorScatterMax",
    "TensorScatterMin",
    "TensorScatterSub",
    "TensorStridedSliceUpdate",
    "Tile",
    "TileGrad",