"tf._XlaHostComputeMlir"() {recv_key = "host_compute_channel_recv", send_key = "host_compute_channel_send", host_mlir_module = ""} : () -> ()
    "mhlo.return"(%1) : (tensor<f32>) -> ()
  }) {dimensions = dense<[1]> : tensor<1xi64>} : (tensor<?x?xf32>, tensor<f32>) -> tensor<?xf32>
  func.return
}

// -----

// Tests transitive unsupported parent of TF/XLA communication op.

    func.return %0 : tensor<*xf32>
  }

  // Verifies handling of cases involving multiple iteration of feeding inputs.
  // CHECK-LABEL: @const_input_required
  func.func @const_input_required(%arg0: tensor<10xf64>) -> tensor<?xf64> attributes {tf.entry_function = {control_outputs = "", inputs = "_arg0,_arg1,_arg2,_arg3", outputs = "_retval0"}} {
    %cst = "tf.Const"() {value = dense<6> : tensor<1xi32>} : () -> tensor<1xi32>

// CHECK-LABEL: testMultinomial
func.func @testMultinomial(%arg0: tensor<2xf32>, %arg1: tensor<1xi32>) -> tensor<10xi64> {
  // CHECK: "tfl.multinomial"(%arg0, %arg1)
  %0 = "tfl.multinomial"(%arg0, %arg1) {seed = 0 : i64, seed2 = 0: i64} : (tensor<2xf32>, tensor<1xi32>) -> tensor<10xi64>
  func.return %0 :  tensor<10xi64>
}

// -----

// CHECK-LABEL: testMultinomialInt32

///   %scaled = "mhlo.multiply"(%iota, %delta)
///       {broadcast_dimensions = dense<[]> : tensor<0xi64>} :
///       (tensor<5xf32>, tensor<f32>) -> tensor<5xf32>
///   %result = "mhlo.add"(%scaled, %offset)
///       {broadcast_dimensions = dense<[]> : tensor<0xi64>} :
///       (tensor<5xf32>, tensor<f32>) -> tensor<5xf32>
///

    SmallVector<Value> start_indices(rank);
    for (auto [i, start_index] : llvm::enumerate(op.getStartIndices())) {
      // Start indices should be casted from tensor<i64> to tensor<1xi64>.
      auto cast = rewriter.create<TFL::BitcastOp>(
          op->getLoc(), single_element_type, start_index);
      int64_t upper_limit_idx = operand_shape[i] - slice_sizes[i];
      auto upper_limit_attr =

  // CHECK:  return %1 : tensor<*xi32>
}

// CHECK-LABEL: @broadcast_to_ui32
func.func @broadcast_to_ui32(%arg0: tensor<ui32>, %arg1: tensor<1xi64>) -> tensor<10xui32> {
  %0 = "tfl.broadcast_to"(%arg0, %arg1) : (tensor<ui32>, tensor<1xi64>) -> tensor<10xui32>
  return %0 : tensor<10xui32>
  // CHECK:  %cst = arith.constant dense<1> : tensor<10xui32>

	WSAENAMETOOLONG                                                           syscall.Errno = 10063
	WSAEHOSTDOWN                                                              syscall.Errno = 10064
	WSAEHOSTUNREACH                                                           syscall.Errno = 10065
	WSAENOTEMPTY                                                              syscall.Errno = 10066

* 🌐 Add Japanese translation for `docs/ja/docs/deployment/server-workers.md`. PR [#10064](https://github.com/tiangolo/fastapi/pull/10064) by [@tamtam-fitness](https://github.com/tamtam-fitness).