// CHECK:         }
func.func @convert_gather(%arg0: tensor<147456xf16>, %arg1: tensor<192x256x1xi32>) -> tensor<192x256xf16> {
  %0 = "mhlo.gather"(%arg0, %arg1) {
    dimension_numbers = #mhlo.gather<
      collapsed_slice_dims = [0],
      index_vector_dim = 2,
			start_index_map = [0],
    >,
    indices_are_sorted = false,
    slice_sizes = dense<1> : tensor<1xi64>

    }
    slice_sizes_value =
        rewriter.create<tensor::FromElementsOp>(loc, slice_sizes_vals);

    // collapsed_slice_dims
    SmallVector<int64_t, 4> collapsed_slice_dims;
    collapsed_slice_dims.reserve(num_index_dims);
    for (int64_t i = 0; i < num_index_dims; ++i) {
      collapsed_slice_dims.push_back(i);
    }
    // offset_dims
    SmallVector<int64_t, 4> offset_dims;

  // CHECK-DAG: %[[V43:.*]] = "mhlo.gather"(%[[ARG]], %[[V42]]) <{dimension_numbers = #mhlo.gather<offset_dims = [0], collapsed_slice_dims = [1, 2], start_index_map = [1, 2]>, indices_are_sorted = false, slice_sizes = dense<[7, 1, 1]> : tensor<3xi64>}> : (tensor<7x140x128xi32>, tensor<2x22x128xi32>) -> tensor<7x22x128xi32>