Use tf.TextLineReader to read to a np.array in TensorFlow

Question

I need to read a file in my train module into a np.array (i want to use the array as label_keys in a DNNClassifier).

I tried tf.read_file and tf.TextLineReader() but i can´t get them to just output the rows to a np.array.

Is it possible?

(why not just read a file with open? I´m training in GCS and want to get the file from storage :)

mrry · Accepted Answer · 2017-12-18 21:09:18Z

2

To access a file from GCS using TensorFlow, you can use the Python tf.gfile.GFile API, which acts like a regular Python file object, but allows you to use TensorFlow's filesystem connectors:

with tf.gfile.GFile("gs://...") as f:
  file_contents = f.read()

answered Dec 18, 2017 at 21:09

mrry

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