INNER CODE UNIT · Python

test_custom_dense_layer_output

MITDeepLearning/introtodeeplearning · mitdeeplearning/lab1.py:107

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(
        y.numpy(),
        true_y,
        decimal=7,
        err_msg="[FAIL] output is of incorrect value. expected {} but got {}".format(
            true_y, y.numpy()
        ),
        verbose=True,
    )
    print("[PASS] test_custom_dense_layer_output")

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