test_cuda_ndarray.py 文件源码

def test_setitem_assign_to_slice():
    a = numpy.arange(27)
    a.resize((3, 3, 3))
    a = theano._asarray(a, dtype='float32')
    _a = cuda_ndarray.CudaNdarray(a)

    b = theano._asarray([7, 8, 9], dtype='float32')
    _b = cuda_ndarray.CudaNdarray(b)

    # first get a slice of a
    _c = _a[:, :, 1]

    # set middle row through cube to 7,8,9
    # (this corresponds to middle row of matrix _c)
    _c[:, 1] = _b

    a[:, :, 1][:, 1] = b
    assert numpy.allclose(a, numpy.asarray(_a))

    # test direct transfert from numpy
    _d = _a[1, :, :]
    _d[1, :] = b * 10
    a[1, :, :][1, :] = b * 10
    assert numpy.allclose(a, numpy.asarray(_a))