test_compute_test_value.py 文件源码

def test_scan(self):
        """
        Test the compute_test_value mechanism Scan.
        """
        orig_compute_test_value = theano.config.compute_test_value
        try:
            theano.config.compute_test_value = 'raise'
            # theano.config.compute_test_value = 'warn'
            k = T.iscalar("k")
            A = T.vector("A")
            k.tag.test_value = 3
            A.tag.test_value = numpy.random.rand(5).astype(config.floatX)

            def fx(prior_result, A):
                return prior_result * A
            # Symbolic description of the result
            result, updates = theano.scan(fn=fx,
                                          outputs_info=T.ones_like(A),
                                          non_sequences=A,
                                          n_steps=k)

            # We only care about A**k, but scan has provided us with A**1 through A**k.
            # Discard the values that we don't care about. Scan is smart enough to
            # notice this and not waste memory saving them.
            final_result = result[-1]
            assert hasattr(final_result.tag, 'test_value')
        finally:
            theano.config.compute_test_value = orig_compute_test_value