test_keras_numeric.py 文件源码

def test_tiny_no_sequence_bidir_random_gpu(self):
        np.random.seed(1988)
        input_dim = 1
        input_length = 1
        num_channels = 1
        num_samples = 1

        # Define a model
        model = Sequential()
        model.add(Bidirectional(LSTM(num_channels, input_dim = input_dim,
                                     input_length = input_length, consume_less = 'gpu', inner_activation = 'sigmoid'),
                                input_shape=(input_length, input_dim)))

        # 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')