Created by: zhijl

参考了fluid/icnet中的样例代码改写的：

这里的图像shape为 [3, 256, 256]，label 的shape为 [1]，另一个 label 的 shape 为 [58]

...
images_t = fluid.LoDTensor()
feature_t = fluid.LoDTensor()
label_t = fluid.LoDTensor()
...
        for batch_id, data in enumerate(train_reader()):
            images = data[0]
            labels = data[1]
            locals = data[2]
            images_t.set(images, place)
            labels_t.set(labels, place)
            locals_t.set(locals, place)
...

报错如下：

    images_t.set(images, place)
TypeError: set(): incompatible function arguments. The following argument types are supported:
    1. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[float32], arg1: paddle::platform::CPUPlace) -> None
    2. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[int32], arg1: paddle::platform::CPUPlace) -> None
    3. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[float64], arg1: paddle::platform::CPUPlace) -> None
    4. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[int64], arg1: paddle::platform::CPUPlace) -> None
    5. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[bool], arg1: paddle::platform::CPUPlace) -> None
    6. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[uint16], arg1: paddle::platform::CPUPlace) -> None
    7. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[uint8], arg1: paddle::platform::CPUPlace) -> None
    8. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[float32], arg1: paddle::platform::CUDAPlace) -> None
    9. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[int32], arg1: paddle::platform::CUDAPlace) -> None
    10. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[float64], arg1: paddle::platform::CUDAPlace) -> None
    11. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[int64], arg1: paddle::platform::CUDAPlace) -> None
    12. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[bool], arg1: paddle::platform::CUDAPlace) -> None
    13. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[uint16], arg1: paddle::platform::CUDAPlace) -> None
    14. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[uint8], arg1: paddle::platform::CUDAPlace) -> None
    15. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[float32], arg1: paddle::platform::CUDAPinnedPlace) -> None
    16. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[int32], arg1: paddle::platform::CUDAPinnedPlace) -> None
    17. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[float64], arg1: paddle::platform::CUDAPinnedPlace) -> None
    18. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[int64], arg1: paddle::platform::CUDAPinnedPlace) -> None
    19. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[bool], arg1: paddle::platform::CUDAPinnedPlace) -> None
    20. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[uint16], arg1: paddle::platform::CUDAPinnedPlace) -> None
    21. (self: paddle.fluid.core.Tensor, arg0: numpy.ndarray[uint8], arg1: paddle::platform::CUDAPinnedPlace) -> None

Invoked with: <paddle.fluid.core.LoDTensor object at 0x7ff3c0531240>, (array([[[211., 223., 235., ..., 123., 125., 127.],
        [204., 215., 231., ..., 116., 124., 134.],
        [190., 195., 206., ..., 118., 122., 123.],
        ...,
        [111., 115., 117., ...,  46.,  51.,  52.],
        [118., 117., 113., ...,  39.,  47.,  51.],
        [115., 114., 112., ...,  32.,  42.,  50.]],

       [[235., 244., 253., ..., 179., 181., 183.],
        [228., 239., 249., ..., 172., 180., 190.],
        [214., 219., 227., ..., 171., 175., 176.],
        ...,
        [121., 125., 128., ...,  49.,  56.,  57.],
        [119., 118., 116., ...,  44.,  52.,  56.],
        [112., 111., 112., ...,  37.,  47.,  55.]],

       [[225., 235., 246., ..., 168., 170., 172.],
        [218., 229., 242., ..., 161., 169., 179.],
        [206., 211., 219., ..., 161., 166., 167.],
        ...,
        [105., 109., 112., ...,  53.,  59.,  60.],
        [103., 102., 100., ...,  47.,  55.,  59.],
        [ 97.,  96.,  96., ...,  40.,  50.,  58.]]]), 5707, array([-1.20006335e+00,  3.20534378e-01,  9.33335543e-01, -4.24015141e+00,
        2.13111669e-01,  9.66773868e-01,  2.46572709e+00,  5.61143541e+00,
        9.39076006e-01, -4.93136793e-01,  1.56456745e+00, -1.09997416e+00,
...

最早的时候使用的是 feeder = fluid.DataFeeder(place=place, feed_list=[image, label, locals]) 的方式，但是取值输出后发现读入的 locals 的值一直为NAN，而 image 和 label 的值正常