小编Ran*_*lfo的帖子

我的目标是在谷歌云ml引擎上做出预测.

我按照谷歌的指示在linux ubuntu 16.04LT上安装了gcloud sdk .我已经有一台机器学习训练模型.我使用python版本anaconda python 3.5.

我跑:

gcloud ml-engine local predict --model-dir={MY_MODEL_DIR} --json-instances={MY_INPUT_JSON_INSTANCE}

我收到了消息:错误:

(gcloud.ml-engine.local.predict)RuntimeError:.pyc文件中的错误幻数

下面是所有堆栈跟踪:

DEBUG: (gcloud.ml-engine.local.predict) RuntimeError: Bad magic number in .pyc file
Traceback (most recent call last):
  File "/usr/lib/google-cloud-sdk/lib/googlecloudsdk/calliope/cli.py", line 797, in Execute
    resources = calliope_command.Run(cli=self, args=args)
  File "/usr/lib/google-cloud-sdk/lib/googlecloudsdk/calliope/backend.py", line 757, in Run
    resources = command_instance.Run(args)
  File "/usr/lib/google-cloud-sdk/lib/surface/ml_engine/local/predict.py", line 65, in Run
    args.text_instances)
  File "/usr/lib/google-cloud-sdk/lib/googlecloudsdk/command_lib/ml_engine/local_utils.py", line 89, in RunPredict
    raise LocalPredictRuntimeError(err)
LocalPredictRuntimeError: RuntimeError: Bad magic number in .pyc file
ERROR: (gcloud.ml-engine.local.predict) RuntimeError: Bad …

我正在使用 google api python 客户端和在 google cloud 为我托管的模型在 google cloud machine learning API 上运行在线预测。当我预测发送一张图像时，服务器（包括所有流量）大约需要 40 秒。当我发送两个图像时，一段时间后，我收到消息：

timeout: The read operation timed out

我想将超时设置为其他值，但我没有找到方法。

这是我的代码：

import base64
import io
import time
from PIL import Image    

from oauth2client.service_account import ServiceAccountCredentials
from googleapiclient import discovery

SCOPES = ['https://www.googleapis.com/auth/cloud-platform']
SERVICE_ACCOUNT_FILE = 'mycredentialsfile.json'

credentials = ServiceAccountCredentials.from_json_keyfile_name(
        SERVICE_ACCOUNT_FILE, scopes=SCOPES)

ml = discovery.build('ml', 'v1', credentials=credentials)

projectID = 'projects/{}'.format('projectID') + '/models/{}'.format('modelID')

width = 640
height = 480

instances = []

for image in ["image5.jpg", "image6.jpg"]:
    img = Image.open(image) …