Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

  // CHECK: [[ZERO:%.*]] = mhlo.constant dense<0.000000e+00> : tensor<f32>
  // The edge_padding_low, edge_padding_high and interior_padding attributes of
  // mhlo.pad would reflect the padding required to get the shape of the
  // input of StridedSlice op.
  // CHECK: [[PAD:%.*]] = "mhlo.pad"([[RESHAPE]], [[ZERO]])
  // CHECK-DAG-SAME: edge_padding_low = dense<[1, 0, 0, 8, 0, 2]> : tensor<6xi64>

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

// CHECK:           return %[[VAL_4]]
// CHECK:         }
// Test the case when start_index_map isn't an iota what requires a transpose to
// convert it to tf.GatherNd.
func.func @convert_gather_transpose(%arg0: tensor<128x256xf32>, %arg1: tensor<4x1xi32>) -> tensor<4x128xf32> {
  %0 = "mhlo.gather"(%arg0, %arg1) {