test_basic_ops.py 文件源码

def test_elemwise_collapse7(atol=1e-6):
    """ Test when one input have one broadcastable dimension and the
    other is a scalar"""

    shape = (5, 4, 1)
    a = cuda_ndarray.CudaNdarray(theano._asarray(numpy.random.rand(*shape),
                                                 dtype='float32'))
    a = theano._asarray(numpy.random.rand(*shape), dtype='float32')
    a2 = tcn.shared_constructor(a.copy(), 'a')
    a3 = a2.dimshuffle(0, 'x', 1, 2)
    f = pfunc([], [a3 + 2], mode=mode_with_gpu)

    # let debugmode catch errors
    out = f()[0]
    ans = (a + 2).reshape(shape[0], 1, shape[1], shape[2])
    assert numpy.allclose(out, ans, atol=atol)
    # print "Expected collapse to c contiguous"