return %0 : tensor<1x1x1x2xf32>
}
func.func private @XlaCallModule_aten.avg_pool2d.default.impl_5(%arg0: tensor<1x1x1x7xf32>) -> tensor<1x1x1x2xf32>

// CHECK-LABEL: avg_pool2d_6
// CHECK: %cst = arith.constant dense<[0, 2, 3, 1]> : tensor<4xi32>
// CHECK: %0 = "tfl.transpose"(%arg0, %cst) : (tensor<1x1x1x7xf32>, tensor<4xi32>) -> tensor<1x1x7x1xf32>

}

func.func @gatherWithBatchDims(%arg0 : tensor<2x3x6xf32>, %arg1 : tensor<2x5xi32>) -> tensor<2x5x3x6xf32> {
  %0 = "tf.Const"() { value = dense<[1]> : tensor<1xi32> } : () -> tensor<1xi32>
  %1 = "tf.GatherV2"(%arg0, %arg1, %0) {batch_dims = 1 : i64} : (tensor<2x3x6xf32>, tensor<2x5xi32>, tensor<1xi32>) -> tensor<2x5x3x6xf32>
  func.return %1 : tensor<2x5x3x6xf32>

// CHECK-LABEL:gatherWithBatchDims