test_opt_uncanonicalize.py 文件源码

def test_optimization(self):
        # If we use only the max output, we should replace this op with
        # a faster one.
        mode = theano.compile.mode.get_default_mode().including(
            'canonicalize', 'fast_run')

        for axis in [0, 1, -1]:
            data = numpy.asarray(numpy.random.rand(2, 3), dtype=config.floatX)
            n = tensor.matrix()

            f = function([n], tensor.max_and_argmax(n, axis)[0], mode=mode)
            topo = f.maker.fgraph.toposort()
            assert len(topo) == 1
            assert isinstance(topo[0].op, CAReduce)

            f = function([n], tensor.max_and_argmax(n, axis), mode=mode)
            topo = f.maker.fgraph.toposort()
            assert len(topo) == 1
            assert isinstance(topo[0].op, tensor.MaxAndArgmax)