Tensorflow PAI教程示例无法运行。与'；[出口代码]：177'；
我在跟踪PAI的工作 以下是我的工作配置：Tensorflow PAI教程示例无法运行。与'；[出口代码]：177'；,tensorflow,openpai,Tensorflow,Openpai,我在跟踪PAI的工作 以下是我的工作配置： { "jobName": "yuan_tensorflow-distributed-jobguid", "image": "docker.io/openpai/pai.run.tensorflow", "dataDir": "hdfs://10.11.3.2:9000/yuan/sample/tensorflow", "outputDir": "$PAI_DEFAULT_FS_URI/yuan/tensorflow-distribute
{
"jobName": "yuan_tensorflow-distributed-jobguid",
"image": "docker.io/openpai/pai.run.tensorflow",
"dataDir": "hdfs://10.11.3.2:9000/yuan/sample/tensorflow",
"outputDir": "$PAI_DEFAULT_FS_URI/yuan/tensorflow-distributed-jobguid/output",
"codeDir": "$PAI_DEFAULT_FS_URI/path/tensorflow-distributed-jobguid/code",
"virtualCluster": "default",
"taskRoles": [
{
"name": "ps_server",
"taskNumber": 2,
"cpuNumber": 2,
"memoryMB": 8192,
"gpuNumber": 0,
"portList": [
{
"label": "http",
"beginAt": 0,
"portNumber": 1
},
{
"label": "ssh",
"beginAt": 0,
"portNumber": 1
}
],
"command": "pip --quiet install scipy && python code/tf_cnn_benchmarks.py --local_parameter_device=cpu --batch_size=32 --model=resnet20 --variable_update=parameter_server --data_dir=$PAI_DATA_DIR --data_name=cifar10 --train_dir=$PAI_OUTPUT_DIR --ps_hosts=$PAI_TASK_ROLE_ps_server_HOST_LIST --worker_hosts=$PAI_TASK_ROLE_worker_HOST_LIST --job_name=ps --task_index=$PAI_CURRENT_TASK_ROLE_CURRENT_TASK_INDEX"
},
{
"name": "worker",
"taskNumber": 2,
"cpuNumber": 2,
"memoryMB": 16384,
"gpuNumber": 4,
"portList": [
{
"label": "http",
"beginAt": 0,
"portNumber": 1
},
{
"label": "ssh",
"beginAt": 0,
"portNumber": 1
}
],
"command": "pip --quiet install scipy && python code/tf_cnn_benchmarks.py --local_parameter_device=cpu --batch_size=32 --model=resnet20 --variable_update=parameter_server --data_dir=$PAI_DATA_DIR --data_name=cifar10 --train_dir=$PAI_OUTPUT_DIR --ps_hosts=$PAI_TASK_ROLE_ps_server_HOST_LIST --worker_hosts=$PAI_TASK_ROLE_worker_HOST_LIST --job_name=worker --task_index=$PAI_CURRENT_TASK_ROLE_CURRENT_TASK_INDEX"
}
],
"killAllOnCompletedTaskNumber": 2,
"retryCount": 0
}
[INFO] hdfs_ssh_folder is hdfs://10.11.3.2:9000/Container/admin/yuan_tensorflow-distributed-2/ssh/application_1529064439409_0450
[INFO] task_role_no is 0
[INFO] PAI_TASK_INDEX is 1
[INFO] waitting for ssh key ready
[INFO] waitting for ssh key ready
[INFO] ssh key pair ready ...
[INFO] begin to download ssh key pair from hdfs ...
[INFO] start ssh service
* Restarting OpenBSD Secure Shell server sshd [80G
[74G[ OK ]
[INFO] USER COMMAND START
Traceback (most recent call last):
File "code/tf_cnn_benchmarks.py", line 38, in <module>
import benchmark_storage
ImportError: No module named benchmark_storage
[DEBUG] EXIT signal received in docker container, exiting ...
通常，您需要查看所有工人的日志，尤其是第一个退出的容器，以查看那里发生了什么，因为任何退出的容器都会导致启动器提前停止作业，因此您可以看到“容器中收到的退出信号”应用程序诊断内容中的消息。将不会删除失败作业的日志。作业完成后，它将移动到hdfs
从您的日志中，代码似乎遗漏了一些文件。请下载整个基准文件夹，而不是一个或两个文件（如cnn基准）。您能在容器日志中找到一些内容吗？谢谢，但PAI似乎会立即清理作业容器。我必须不断刷新日志输出。你是对的，缺少一些依赖项。我已经更新了我的问题。谢谢
{
"jobName": "tensorflow-cifar10",
"image": "openpai/pai.example.tensorflow",
"dataDir": "/tmp/data",
"outputDir": "/tmp/output",
"taskRoles": [
{
"name": "cifar_train",
"taskNumber": 1,
"cpuNumber": 8,
"memoryMB": 32768,
"gpuNumber": 1,
"command": "git clone https://github.com/tensorflow/models && cd models/research/slim && python download_and_convert_data.py --dataset_name=cifar10 --dataset_dir=$PAI_DATA_DIR && python train_image_classifier.py --batch_size=64 --model_name=inception_v3 --dataset_name=cifar10 --dataset_split_name=train --dataset_dir=$PAI_DATA_DIR --train_dir=$PAI_OUTPUT_DIR"
}
]
}