PySpark 中未加载 Elephas：没有名为 elephas.spark_model 的模块

我正在尝试在集群上分发 Keras 训练并使用 Elephas 来实现这一点。但是，当运行 Elephas 文档中的基本示例时（https://github.com/maxpumperla/elephas):

from elephas.utils.rdd_utils import to_simple_rdd
rdd = to_simple_rdd(sc, x_train, y_train)
from elephas.spark_model import SparkModel
from elephas import optimizers as elephas_optimizers
sgd = elephas_optimizers.SGD()
spark_model = SparkModel(sc, model, optimizer=sgd, frequency='epoch', mode='asynchronous', num_workers=2)
spark_model.train(rdd, nb_epoch=epochs, batch_size=batch_size, verbose=1, validation_split=0.1)

我收到以下错误：

 ImportError: No module named elephas.spark_model



```Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 5.0 failed 4 times, most recent failure: Lost task 1.3 in stage 5.0 (TID 58, xxxx, executor 8): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
  File "/xx/xx/hadoop/yarn/local/usercache/xx/appcache/application_151xxx857247_19188/container_1512xxx247_19188_01_000009/pyspark.zip/pyspark/worker.py", line 163, in main
    func, profiler, deserializer, serializer = read_command(pickleSer, infile)
  File "/xx/xx/hadoop/yarn/local/usercache/xx/appcache/application_151xxx857247_19188/container_1512xxx247_19188_01_000009/pyspark.zip/pyspark/worker.py", line 54, in read_command
    command = serializer._read_with_length(file)
  File /yarn/local/usercache/xx/appcache/application_151xxx857247_19188/container_1512xxx247_19188_01_000009/pyspark.zip/pyspark/serializers.py", line 169, in _read_with_length
    return self.loads(obj)
  File "/yarn//local/usercache/xx/appcache/application_151xxx857247_19188/container_1512xxx247_19188_01_000009/pyspark.zip/pyspark/serializers.py", line 454, in loads
    return pickle.loads(obj)
ImportError: No module named elephas.spark_model

    at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:193)
    at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:234)
    at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:152)
    at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:99)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)```

另外，模型实际上已创建，我可以做print(spark_model)并会得到这个<elephas.spark_model.SparkModel object at 0x7efce0abfcd0>。错误发生在spark_model.train.

我已经使用安装了 elephaspip2 install git+https://github.com/maxpumperla/elephas，也许这是相关的。

我使用 PySpark 2.1.1、Keras 2.1.4 和 Python 2.7。 我尝试过运行它火花提交:

PYSPARK_DRIVER_PYTHON=`which python` spark-submit --driver-memory 1G  filname.py

也可以直接在 Jupyter Notebook 中。两者都会导致同样的问题。

谁能给我任何指示吗？这是 elephas 相关的还是 PySpark 问题？

编辑：我还上传了虚拟环境的 zip 文件并在脚本中调用它：

virtualenv spark_venv --relocatable
cd spark_venv 
zip -qr ../spark_venv.zip *

PYSPARK_DRIVER_PYTHON=`which python` spark-submit --driver-memory 1G --py-files spark_venv.zip filename.py

然后在文件中我这样做：

sc.addPyFile("spark_venv.zip")

导入此 keras 后没有任何问题，但我仍然得到elephas上面的错误。

我找到了如何将虚拟环境正确加载到主服务器和所有从服务器的解决方案：

virtualenv venv --relocatable
cd venv 
zip -qr ../venv.zip *

PYSPARK_PYTHON=./SP/bin/python spark-submit --master yarn --deploy-mode cluster --conf spark.yarn.appMasterEnv.PYSPARK_PYTHON=./SP/bin/python --driver-memory 4G --archives venv.zip#SP filename.py

GitHub 问题中的更多详细信息：https://github.com/maxpumperla/elephas/issues/80#issuecomment-371073492