message: correctly handle nccl for nvidia_gpu_device
diff: load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")
  -load("//tensorflow:tensorflow.bzl", "tf_cc_test")
  -load("@local_config_cuda//cuda:build_defs.bzl", "if_cuda")
  +load("//tensorflow:tensorflow.bzl", "tf_cc_test", "if_nccl")
  package(
  default_visibility = ["//tensorflow:internal"],
  @@ -240,7 +239,7 @@ cc_library(
  name = "nvidia_gpu_device",
  srcs = ["nvidia_gpu_device.cc"],
  hdrs = ["nvidia_gpu_device.h"],
  - copts = if_cuda(["-DNCCL_ENABLED=1"]),
  + copts = if_nccl(["-DNCCL_ENABLED=1"]),
  deps = [
  ":pjrt_client",
  "//tensorflow/compiler/xla/service/gpu:gpu_executable_run_options",
  @@ -253,7 +252,7 @@ cc_library(
  "//tensorflow/core/common_runtime/gpu:gpu_mem_allocator",
  "//tensorflow/core:lib_internal",
  "//tensorflow/stream_executor:tf_allocator_adapter",
  - ] + if_cuda(["@local_config_nccl//:nccl"]),
  + ] + if_nccl(["@local_config_nccl//:nccl"]),
  )
  tf_cc_test(
  