test_keras2_numeric.py 文件源码

def test_medium_no_sequence_gru_random(self,
                                           model_precision=_MLMODEL_FULL_PRECISION):
        np.random.seed(1988)
        input_dim = 10
        input_length = 1
        num_channels = 10

        # Define a model
        model = Sequential()
        model.add(GRU(num_channels, input_shape = (input_length, input_dim), recurrent_activation = 'sigmoid'))

        # Set some random weights
        model.set_weights([np.random.rand(*w.shape) for w in model.get_weights()])

        # Test the keras model
        self._test_keras_model(model, input_blob='data', output_blob='output',
                               model_precision=model_precision)