我已经使用在 GPU 上本地运行的 Tensorflow 的对象检测 API（使用model_main.py）和使用 Google 的 ML 引擎（GPU 和 TPU）成功地训练了模型。model_tpu_main.py但是，当在 Google 的云上运行时（使用手动配置的 VM 和 TPU），我似乎无法用来训练模型。
当我model_tpu_main.py使用类似的东西启动时python -m object_detection.model_tpu_main --model_dir=gs://bucket/training --tpu_zone us-central1-b --pipeline_config_path=gs://bucket/training/pipeline.config --job-dir gs://bucket/training --tpu_name mytpu_name，它会卡在：
...
W1113 03:05:16.628712 139998232708864 variables_helper.py:144] Variable [resnet_v1_50/fpn/smoothing_2/BatchNorm/moving_mean] is not available in checkpoint
W1113 03:05:16.629062 139998232708864 variables_helper.py:144] Variable [resnet_v1_50/fpn/smoothing_2/BatchNorm/moving_variance] is not available in checkpoint
W1113 03:05:16.629330 139998232708864 variables_helper.py:144] Variable [resnet_v1_50/fpn/smoothing_2/weights] is not available in checkpoint
2018-11-13 03:06:08.618834: W tensorflow/core/distributed_runtime/rpc/grpc_session.cc:349] GrpcSession::ListDevices will initialize the session with an empty graph and other defaults because the session has not yet been created.
...
查看 TPU 日志，我得到的几乎是：
...
Start master session b9186abfa4e15b1d with config: isolate_session_state: true A
Start master session 48b812f9ca0d3ebf with config: isolate_session_state: true A
Start master session 33048226cb131f4c with config: isolate_session_state: true A
Start master session cab95e277a429f9d with config: isolate_session_state: true A
Start master session 56b5d3296c9bfe15 with config: isolate_session_state: true A
Start master session 3fdac64b285c365d with config: isolate_session_state: true A
Start master session ec1fa14806ad9351 with config: isolate_session_state: true A
...
知道我做错了什么吗？