// CHECK:            "tf._XlaSendFromHostV2"(%[[C_OUTPUT]]#0, %[[C_OUTPUT]]#1, %[[PROGRAM_OUTPUT]], %[[DEVICE_ORDINAL]])
    // CHECK:            %[[RECV_OUTPUT:[0-9]*]]:2 = "tf._XlaRecvAtHostV2"
    // CHECK:            %[[E_OUTPUT:[0-9]*]] = "tf.E"(%[[RECV_OUTPUT]]#0, %[[RECV_OUTPUT]]#1)
    // CHECK:            "tf._XlaSendFromHostV2"(%[[E_OUTPUT]], %[[PROGRAM_OUTPUT]], %[[DEVICE_ORDINAL]])

    return %0#0, %0#1: tensor<2048xi32>, tensor<2048xi32>
  }

  // CHECK-LABEL: func @copy_and_send

  // CHECK: "tf_device.launch"
  // CHECK: "tf.TPUCopyWithDynamicShape"
  // CHECK: "tf._XlaSendFromHostV2
  // CHECK: tf_device.return
  // CHECK-NOT: launch
  // CHECK: return
  func.func @copy_and_send(%arg0: tensor<65536xi64>, %arg1: tensor<1x!tf_type.string>, %arg2: tensor<65536xi32>) {
    "tf_device.launch"() ({

        // expected-remark@above {{ID: 0}}
        "tf._XlaSendFromHostV2"(%const, %arg0, %arg1) {_xla_has_host_transfer = true, key = "host_compute_channel_0_retvals"} : (tensor<f32>, tensor<!tf_type.string>, tensor<i64>) -> ()
        // expected-remark@above {{ID: 1}}
        // expected-remark@above {{Successors: {2}}}

  op->setAttr("_xla_has_host_transfer", builder.getBoolAttr(true));
  return op;
}

// Creates a tf._XlaSendFromHost or tf._XlaSendFromHostV2 op. If device ordinal
// is present, a tf._XlaSendFromHostV2 op is created instead.
Operation* CreateSendFromHostOp(OpBuilder& builder, Location loc,
                                ValueRange inputs, Value compilation_key,

  );

  let results = (outs);

  TF_DerivedOperandTypeListAttr Tinputs = TF_DerivedOperandTypeListAttr<0>;
}

def TF__XlaSendFromHostV2Op : TF_Op<"_XlaSendFromHostV2", [DeclareOpInterfaceMethods<TF_GetResourceInstanceInterface>, TF_SendSideEffect]> {
  let summary = [{
A placeholder op to send values to a running XLA computation with support for a runtime device ordinal.
  }];