aee5cf66f2154ef70fd812b369271f05e4b7c921,example5.py,,,#,48
Before Change
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
cnt, num_samples, start_t = 0, 0, time.perf_counter()
while True:
print(sess.run(data_node))
After Change
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
cnt, num_samples, start_t = 0, 0, time.perf_counter()
estimator.train(input_fn=input_fn, steps=100)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances Project Name: hanxiao/bert-as-service
Commit Name: aee5cf66f2154ef70fd812b369271f05e4b7c921
Time: 2018-11-27
Author: hanhxiao@tencent.com
File Name: example5.py
Class Name:
Method Name:
Project Name: lene/nn-wtf
Commit Name: e0d6a5289e0efcdd5365e49d7303ffb0e366f6ea
Time: 2016-02-26
Author: lene.preuss@gmail.com
File Name: nn_wtf/neural_network_graph.py
Class Name: NeuralNetworkGraph
Method Name: train
Project Name: lene/nn-wtf
Commit Name: 430cda28f3b04639f34990014d5a267b26b57696
Time: 2016-02-26
Author: lene.preuss@gmail.com
File Name: nn_wtf/mnist_graph.py
Class Name: MNISTGraph
Method Name: train