alihan/TensorFlow-2.x-Tutorials
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add ,experimental_run_tf_function=False for tf 2.0 stable

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This commit is contained in:
Jackie Loong
2019-10-02 18:45:20 +10:00
parent e4da57e828
commit 5da2449088
3 changed files with 3 additions and 3 deletions
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2
深度学习与TensorFlow入门实战-源码和PPT/lesson45-RNN实战/sentiment_analysis_cell.py
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@@ -92,7 +92,7 @@ def main():
model = MyRNN(units)
model.compile(optimizer = keras.optimizers.Adam(0.001),
loss = tf.losses.BinaryCrossentropy(),
metrics=['accuracy'])
metrics=['accuracy'],experimental_run_tf_function=False)
model.fit(db_train, epochs=epochs, validation_data=db_test)
model.evaluate(db_test)

2
深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/gru_sentiment_analysis_cell.py
View File

@@ -98,7 +98,7 @@ def main():
model = MyRNN(units)
model.compile(optimizer = keras.optimizers.Adam(0.001),
loss = tf.losses.BinaryCrossentropy(),
metrics=['accuracy'])
metrics=['accuracy'], experimental_run_tf_function=False)
model.fit(db_train, epochs=epochs, validation_data=db_test)
model.evaluate(db_test)

2
深度学习与TensorFlow入门实战-源码和PPT/lesson47-LSTM实战/lstm_sentiment_analysis_cell.py
View File

@@ -98,7 +98,7 @@ def main():
model = MyRNN(units)
model.compile(optimizer = keras.optimizers.Adam(0.001),
loss = tf.losses.BinaryCrossentropy(),
metrics=['accuracy'])
metrics=['accuracy'],experimental_run_tf_function=False)
model.fit(db_train, epochs=epochs, validation_data=db_test)
model.evaluate(db_test)