重新培训inception谷歌云陷入全球第0步

Question

我正在遵循谷歌云ml上重新训练《盗梦空间》的花儿教程。我可以运行教程，训练，预测，就可以了。在

然后我用flowers数据集替换了我自己的测试数据集。图像数字的光学字符识别。在

我的完整代码是here

labels的Dict文件

评估set

训练Set

运行于最近由谷歌提供的docker构建。在

`docker run -it -p "127.0.0.1:8080:8080" --entrypoint=/bin/bash  gcr.io/cloud-datalab/datalab:local-20161227

我可以预处理文件，并提交培训作业使用

^{pr2}$

但它从来没有通过全局步骤0。花教程大约1小时在免费层进行培训。我放弃了长达11小时的训练。不许动。在

看着stackdriver，什么进展都没有。在

我也尝试了一个由20个训练图像和10个评估图像组成的小玩具数据集。同样的问题。在

地面军事系统的水桶最后看起来像这样

也许不足为奇的是，我无法在tensorboard上看到这个日志，没有什么可以显示的。在

完整的培训日志：

INFO    2017-01-10 17:22:00 +0000       unknown_task            Validating job requirements...
INFO    2017-01-10 17:22:01 +0000       unknown_task            Job creation request has been successfully validated.
INFO    2017-01-10 17:22:01 +0000       unknown_task            Job MeerkatReader_MeerkatReader_20170110_170701 is queued.
INFO    2017-01-10 17:22:07 +0000       unknown_task            Waiting for job to be provisioned.
INFO    2017-01-10 17:22:07 +0000       unknown_task            Waiting for TensorFlow to start.
INFO    2017-01-10 17:22:10 +0000       master-replica-0                Running task with arguments: --cluster={"master": ["master-d4f6-0:2222"]} --task={"type": "master", "index": 0} --job={
INFO    2017-01-10 17:22:10 +0000       master-replica-0                  "package_uris": ["gs://api-project-773889352370-ml/MeerkatReader_MeerkatReader_20170110_170701/f78d90a60f615a2d108d06557818eb4f82ffa94a/trainer-0.1.tar.gz"],
INFO    2017-01-10 17:22:10 +0000       master-replica-0                  "python_module": "trainer.task",
INFO    2017-01-10 17:22:10 +0000       master-replica-0                  "args": ["--output_path", "gs://api-project-773889352370-ml/MeerkatReader/MeerkatReader_MeerkatReader_20170110_170701/training", "--eval_data_paths", "gs://api-project-773889352370-ml/MeerkatReader/MeerkatReader_MeerkatReader_20170110_170701/preproc/eval*", "--train_data_paths", "gs://api-project-773889352370-ml/MeerkatReader/MeerkatReader_MeerkatReader_20170110_170701/preproc/train*"],
INFO    2017-01-10 17:22:10 +0000       master-replica-0                  "region": "us-central1"
INFO    2017-01-10 17:22:10 +0000       master-replica-0                } --beta
INFO    2017-01-10 17:22:10 +0000       master-replica-0                Downloading the package: gs://api-project-773889352370-ml/MeerkatReader_MeerkatReader_20170110_170701/f78d90a60f615a2d108d06557818eb4f82ffa94a/trainer-0.1.tar.gz
INFO    2017-01-10 17:22:10 +0000       master-replica-0                Running command: gsutil -q cp gs://api-project-773889352370-ml/MeerkatReader_MeerkatReader_20170110_170701/f78d90a60f615a2d108d06557818eb4f82ffa94a/trainer-0.1.tar.gz trainer-0.1.tar.gz
INFO    2017-01-10 17:22:12 +0000       master-replica-0                Building wheels for collected packages: trainer
INFO    2017-01-10 17:22:12 +0000       master-replica-0                creating '/tmp/tmpSgdSzOpip-wheel-/trainer-0.1-cp27-none-any.whl' and adding '.' to it
INFO    2017-01-10 17:22:12 +0000       master-replica-0                adding 'trainer/model.py'
INFO    2017-01-10 17:22:12 +0000       master-replica-0                adding 'trainer/util.py'
INFO    2017-01-10 17:22:12 +0000       master-replica-0                adding 'trainer/preprocess.py'
INFO    2017-01-10 17:22:12 +0000       master-replica-0                adding 'trainer/task.py'
INFO    2017-01-10 17:22:12 +0000       master-replica-0                adding 'trainer-0.1.dist-info/metadata.json'
INFO    2017-01-10 17:22:12 +0000       master-replica-0                adding 'trainer-0.1.dist-info/WHEEL'
INFO    2017-01-10 17:22:12 +0000       master-replica-0                adding 'trainer-0.1.dist-info/METADATA'
INFO    2017-01-10 17:22:12 +0000       master-replica-0                  Running setup.py bdist_wheel for trainer: finished with status 'done'
INFO    2017-01-10 17:22:12 +0000       master-replica-0                  Stored in directory: /root/.cache/pip/wheels/e8/0c/c7/b77d64796dbbac82503870c4881d606fa27e63942e07c75f0e
INFO    2017-01-10 17:22:12 +0000       master-replica-0                Successfully built trainer
INFO    2017-01-10 17:22:13 +0000       master-replica-0                Running command: python -m trainer.task --output_path gs://api-project-773889352370-ml/MeerkatReader/MeerkatReader_MeerkatReader_20170110_170701/training --eval_data_paths gs://api-project-773889352370-ml/MeerkatReader/MeerkatReader_MeerkatReader_20170110_170701/preproc/eval* --train_data_paths gs://api-project-773889352370-ml/MeerkatReader/MeerkatReader_MeerkatReader_20170110_170701/preproc/train*
INFO    2017-01-10 17:22:14 +0000       master-replica-0                Starting master/0
INFO    2017-01-10 17:22:14 +0000       master-replica-0                Initialize GrpcChannelCache for job master -> {0 -> localhost:2222}
INFO    2017-01-10 17:22:14 +0000       master-replica-0                Started server with target: grpc://localhost:2222
ERROR   2017-01-10 17:22:16 +0000       master-replica-0                device_filters: "/job:ps"
INFO    2017-01-10 17:22:19 +0000       master-replica-0                global_step/sec: 0

重复最后一行直到我把它弄死。在

我对这项服务的心理模型不正确吗？欢迎所有建议。在

Answer 1

一切看起来都很好。我怀疑你的数据有问题。我特别怀疑TF无法从你的GCS文件中读取任何数据（它们是空的吗？）？结果，当您调用train时，TF最终阻塞了它无法读取的一批数据。在

我建议在会话.运行在Trainer.run_training中。这会告诉你这条线是不是卡住了。在

我还建议检查一下你的GCS文件的大小。在

TensorFlow还有一个实验性的RunOptions，它允许您指定会话.运行. 一旦这个特性准备好了，这可能有助于确保代码不会永远阻塞。在