Question

我正在尝试让Python + deepwater + tensorflow在RHEL 6.7上运行。使用conda，我安装了python 3.6.0，tensorflow 1.1.0和gcc 4.8.5。 TF工作正常。

我使用pip install安装了以下库：h2o-3.11.0.3904-py2.py3-none-any.whl和h2o-3.11.0-py2.py3-none-any.whl。

我尝试从h2o教程

运行以下示例

import h2o
from h2o.estimators.deepwater import H2ODeepWaterEstimator

h2o.init()

train = h2o.import_file("https://h2o-public-test-data.s3.amazonaws.com/bigdata/laptop/mnist/train.csv.gz")

features = list(range(0,784))
target = 784

train[target] = train[target].asfactor()

model = H2ODeepWaterEstimator(epochs=100, activation="Rectifier", hidden=[200,200], ignore_const_cols=False, 
    mini_batch_size=256, input_dropout_ratio=0.1, hidden_dropout_ratios=[0.5,0.5], stopping_rounds=3, 
    stopping_tolerance=0.05, stopping_metric="misclassification", score_interval=2, score_duty_cycle=0.5,
    score_training_samples=1000, score_validation_samples=1000, nfolds=5, gpu=False, seed=1234, backend="tensorflow")

model.train(x=features, y=target, training_frame=train)

抛出以下异常

Exception: Unable to initialize the native Deep Learning backend: Cannot find TensorFlow native library for OS: linux, architecture: x86_64. See https://github.com/tensorflow/tensorflow/tree/master/java/README.md for possible solutions (such as building the library from source).

还有什么我想念的吗？我是否需要从头开始为这个平台构建位？

在RHEL6上具有张量流的深水

0 个答案: