使用Google Cloud ml示例代码重新训练Inception时出错 [英] Error retraining Inception using google cloud ml sample code

问题描述

在Cloud Shell中运行时，来自

When running in Cloud Shell the sample code from this posting by Google's Slaven Bilac, an error occurs.

chuck@wordone-wordtwo-1234567:~/google-cloud-ml/samples/flowers$ ./sample.sh
Your active configuration is: [cloudshell-270]


Using job id:  flowers_chuck_20170130_212715

# Takes about 30 mins to preprocess everything.  We serialize the two
# preprocess.py synchronous calls just for shell scripting ease; you could use
# --runner DataflowPipelineRunner to run them asynchronously.  Typically,
# the total worker time is higher when running on Cloud instead of your local
# machine due to increased network traffic and the use of more cost efficient
# CPU's.  Check progress here: https://console.cloud.google.com/dataflow
python trainer/preprocess.py \
  --input_dict "$DICT_FILE" \
  --input_path "gs://cloud-ml-data/img/flower_photos/eval_set.csv" \
  --output_path "${GCS_PATH}/preproc/eval" \
  --cloud
WARNING:root:Couldn't find python-snappy so the implementation of _TFRecordUtil._masked_crc32c is not as fast as it could be.
WARNING:root:BlockingDataflowPipelineRunner is deprecated, use BlockingDataflowRunner instead.
WARNING:root:BlockingDataflowRunner is deprecated, use DataflowRunner instead.
Traceback (most recent call last):
  File "trainer/preprocess.py", line 446, in <module>
main(sys.argv[1:])

  File "trainer/preprocess.py", line 442, in main
run(arg_dict)
  File "trainer/preprocess.py", line 361, in run
p = beam.Pipeline(options=pipeline_options)
  File "/home/chuck/.local/lib/python2.7/site-packages/apache_beam/pipeline.py", line 131, in __init__
    'Pipeline has validations errors: \n' + '\n'.join(errors))
ValueError: Pipeline has validations errors: 
Missing GCS path option: temp_location.

如何从 GoogleCloudPlatform/cloudml-samples修改文件/flowers 避免这种情况?

推荐答案

您是否尝试过运行

Have you tried running the CloudShell setup script? It helps manage some of the versions, which seems to be the core issue here:

curl https://raw.githubusercontent.com/GoogleCloudPlatform/cloudml-samples/master/tools/setup_cloud_shell.sh | bash

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