test_dnn.py 文件源码

def test_dnn_conv_desc_merge():
    if not dnn.dnn_available(test_ctx_name):
        raise SkipTest(dnn.dnn_available.msg)
    kern_shp = T.as_tensor_variable(
        numpy.asarray([3, 1, 2, 2]).astype('int64'))
    desc1 = dnn.GpuDnnConvDesc(border_mode='valid', subsample=(2, 2),
                               conv_mode='conv')(kern_shp)
    desc2 = dnn.GpuDnnConvDesc(border_mode='full', subsample=(1, 1),
                               conv_mode='cross')(kern_shp)
    # CDataType is not DeepCopyable so this will crash if we don't use
    # borrow=True
    f = theano.function([], [theano.Out(desc1, borrow=True),
                             theano.Out(desc2, borrow=True)])

    d1, d2 = f()

    # This will be the case if they are merged, which would be bad.
    assert d1 != d2