def test_predictor_weights_all_ones():
predictor = Predictor(inputs=[
SequenceInput(length=2, variable_length=False, encoding="onehot")
],
outputs=[Output(dim=1, activation="sigmoid")])
weights = predictor.get_weights()
for w in weights:
w.fill(1)
predictor.set_weights(weights)
predictor2 = Predictor.from_json(predictor.to_json())
for w in predictor2.get_weights():
assert (w == np.ones_like(w)).all(), "Expected %s to be all 1s" % (w, )
def test_predictor_json_identity():
predictor = Predictor(inputs=[
SequenceInput(length=2, variable_length=False, encoding="onehot")
],
outputs=[Output(dim=1, activation="sigmoid")])
eq_(predictor, Predictor.from_json(predictor.to_json()))
