c3eb62763fcc5029c26b025ba1b60d7788d491a1,tests/test_model_saving.py,,test_model_saving_to_pre_created_h5py_file,#,140
Before Change
def test_model_saving_to_pre_created_h5py_file():
inputs = Input(shape=(3,))
x = Dense(2)(inputs)
outputs = Dense(3)(x)
model = Model(inputs, outputs)
model.compile(loss=losses.MSE,
optimizer=optimizers.Adam(),
metrics=[metrics.categorical_accuracy])
x = np.random.random((1, 3))
After Change
def test_model_saving_to_pre_created_h5py_file():
model, x = _get_sample_model_and_input()
out = model.predict(x)
_, fname = tempfile.mkstemp(".h5")
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 9
Instances
Project Name: keras-team/keras
Commit Name: c3eb62763fcc5029c26b025ba1b60d7788d491a1
Time: 2019-03-30
Author: andhus@kth.se
File Name: tests/test_model_saving.py
Class Name:
Method Name: test_model_saving_to_pre_created_h5py_file
Project Name: studioml/studio
Commit Name: 8ed9daf4707d86f8fe754045ae819b0961bdd290
Time: 2017-07-26
Author: peter.zhokhov@sentient.ai
File Name: studio/helloworld/train_mnist_keras.py
Class Name:
Method Name:
Project Name: keras-team/keras
Commit Name: c3eb62763fcc5029c26b025ba1b60d7788d491a1
Time: 2019-03-30
Author: andhus@kth.se
File Name: tests/test_model_saving.py
Class Name:
Method Name: test_model_saving_to_pre_created_h5py_file
Project Name: keras-team/keras
Commit Name: c3eb62763fcc5029c26b025ba1b60d7788d491a1
Time: 2019-03-30
Author: andhus@kth.se
File Name: tests/test_model_saving.py
Class Name:
Method Name: test_functional_model_saving