INNER CODE UNIT · Python

test_batch_func_next_step

MITDeepLearning/introtodeeplearning · mitdeeplearning/lab1.py:98

def test_batch_func_next_step(func, args):
    x, y = func(*args)
    assert (
        x[:, 1:] == y[:, :-1]
    ).all(), "[FAIL] test_batch_func_next_step: x_{t} must equal y_{t-1} for all t"
    print("[PASS] test_batch_func_next_step")
    return True


def test_custom_dense_layer_output(y):
    # define the ground truth value for the array
    true_y = np.array([[0.27064407, 0.1826951, 0.50374055]], dtype="float32")
    assert tf.shape(y).numpy().tolist() == list(
        true_y.shape
    ), "[FAIL] output is of incorrect shape. expected {} but got {}".format(
        true_y.shape, y.numpy().shape
    )
    np.testing.assert_almost_equal(

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