test_basic_ops.py 文件源码

def test_elemwise_comparaison_cast():
    """
    test if an elemwise comparaison followed by a cast to float32 are
    pushed to gpu.
    """

    a = tensor.fmatrix()
    b = tensor.fmatrix()
    av = theano._asarray(numpy.random.rand(4, 4), dtype='float32')
    bv = numpy.ones((4, 4), dtype='float32')

    for g, ans in [(tensor.lt, av < bv), (tensor.gt, av > bv),
                   (tensor.le, av <= bv), (tensor.ge, av >= bv)]:

        f = pfunc([a, b], tensor.cast(g(a, b), 'float32'), mode=mode_with_gpu)

        out = f(av, bv)
        assert numpy.all(out == ans)
        assert any([isinstance(node.op, cuda.GpuElemwise)
                    for node in f.maker.fgraph.toposort()])