是否有人尝试过导出基于本地机器的tensorflow模型并使用google cloud ml预测API上传此模型？
我正在尝试使用我本地计算机上this博客中给出的略微修改版本的再培训示例来构建图表，并将导出的模型检查点直接上传到cloud ml进行预测。但是它会抛出错误说：
ERROR: (gcloud.beta.ml.predict) HTTP request failed. Response: {
"error": {
"code": 503,
"message": "Field: name Error: Online prediction service is unavailable for this version. Please
try again in around 60 seconds.",
"status": "UNAVAILABLE",
"details": [
{
"@type": "type.googleapis.com/google.rpc.BadRequest",
"fieldViolations": [
{
"field": "name",
"description": "Online prediction service is unavailable for this version. Please try aga
in in around 60 seconds."
}
]
}
]
}
}
当进行调试时，我尝试使用命令gcloud beta ml local predict在本地使用相同的图形和相同的示例进行预测，它会出错：
ERROR: (gcloud.beta.ml.local.predict) WARNING:root:Couldn't find python-snappy so the implementation
of _TFRecordUtil._masked_crc32c is not as fast as it could be.
Traceback (most recent call last):
File "lib/googlecloudsdk/command_lib/ml/local_predict.py", line 112, in <module>
main()
File "lib/googlecloudsdk/command_lib/ml/local_predict.py", line 107, in main
instances=instances)
File "/root/.local/lib/python2.7/site-packages/google/cloud/ml/prediction/_prediction_lib.py", line
731, in local_predict
client = SessionClient(*load_model(model_dir))
File "/root/.local/lib/python2.7/site-packages/google/cloud/ml/prediction/_prediction_lib.py", line
339, in load_model
model_path)
File "/root/.local/lib/python2.7/site-packages/google/cloud/ml/session_bundle/_session_bundle.py",
line 153, in load_session_bundle_from_path
saver = tf.train.import_meta_graph(meta_graph_def)
File "/root/.local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1708, in
import_meta_graph
return _import_meta_graph_def(meta_graph_or_file, clear_devices)
File "/root/.local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1598, in
_import_meta_graph_def
input_graph_def, name="", producer_op_list=producer_op_list)
File "/root/.local/lib/python2.7/site-packages/tensorflow/python/framework/importer.py", line 258,
in import_graph_def
op_def = op_dict[node.op]
KeyError: u'TensorArrayV2'
似乎无法从模型中导入所有图形元素。我已使用此命令导出模型：
saver.export_meta_graph(filename=os.path.join("/trainer/", 'export.meta'))
saver.save(sess, os.path.join("/trainer/", 'export'), write_meta_graph=False)