tfl.test_utils.assert_sonnet_equivalent_to_keras

Asserts that a Sonnet module is "equivalent" to a Keras layer.

tfl.test_utils.assert_sonnet_equivalent_to_keras(
    test, sonnet_module_ctor, keras_layer_ctor, training_inputs, training_labels,
    epsilon=0.0001
)

Creates a Sonnet module and a Keras layer using the given constructors. It then uses both models to evaluate the given 'training_inputs' tensor and asserts that the results are equal. It then trains both models and asserts that the final loss (w.r.t the given 'training_labels') and the post-training predictions of both models on 'training_inputs' are also equal.

Args
`test`	a tf.test.TestCase whose 'assert...' methods to use for assertion.
`sonnet_module_ctor`	A callable that takes no arguments and returns the Sonnet module to use.
`keras_layer_ctor`	A callable that takes no arguments and returns the Keras layer to use.
`training_inputs`	Tensor of shape (batch_size, ....) tensor containing the training inputs.
`training_labels`	Tensor of shape (batch_size, ....). tensor containing the training labels.
`epsilon`	float. Sensitivity of comparison. Comparison of model predictions and losses are done using test.assertNear and test.assertNDArrayNear. This is the value to pass as the 'err' parameter to these assertion methods.

tfl.test_utils.assert_sonnet_equivalent_to_keras

Args