error happen while ocr_train.py. How to fix it?

[white2018]

wanghz@S822lc1:~/ocr_recognition/recaptcha$ python ocr_train.py
ocr_train.py:212: DeprecationWarning: mxnet.model.FeedForward has been deprecated. Please use mxnet.mod.Module instead.
magnitude=2.34))
[20:57:11] /home/asiainfo/mxnet/dmlc-core/include/dmlc/./logging.h:308: [20:57:11] src/operator/./slice_channel-inl.h:198: Check failed: ishape[real_axis] == static_cast<size_t>(param_.num_outputs) (3000 vs. 30) If squeeze axis is True, the size of the sliced axis must be the same as num_outputs. Input shape=(100,3000), axis=1, num_outputs=30.

Stack trace returned 10 entries:
[bt] (0) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(_ZN4dmlc15LogMessageFatalD1Ev+0x58) [0x3fff648bbc08]
[bt] (1) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(ZNK5mxnet2op16SliceChannelProp10InferShapeEPSt6vectorIN4nnvm6TShapeESaIS4_EES7_S7+0x65c) [0x3fff656ea52c]
[bt] (2) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x11cc178) [0x3fff653ac178]
[bt] (3) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(ZNSt17_Function_handlerIFbRKN4nnvm9NodeAttrsEPSt6vectorINS0_6TShapeESaIS5_EES8_EPS9_E9_M_invokeERKSt9_Any_dataS3_OS8_SF+0x34) [0x3fff648ada74]
[bt] (4) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x247e0c0) [0x3fff6665e0c0]
[bt] (5) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x247f78c) [0x3fff6665f78c]
[bt] (6) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x248077c) [0x3fff6666077c]
[bt] (7) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(_ZN4nnvm11ApplyPassesENS_5GraphERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EE+0x360) [0x3fff6668d380]
[bt] (8) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(_ZN4nnvm9ApplyPassENS_5GraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE+0x260) [0x3fff6579e4b0]
[bt] (9) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(_ZN4nnvm4pass10InferShapeENS_5GraphESt6vectorINS_6TShapeESaIS3_EENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE+0x210) [0x3fff657a3620]

infer_shape error. Arguments:
label: (100, 4)
l0_init_c: (100, 128)
l1_init_h: (100, 128)
l0_init_h: (100, 128)
data: (100, 3000)
l1_init_c: (100, 128)
Traceback (most recent call last):
File "ocr_train.py", line 230, in
batch_end_callback=mx.callback.Speedometer(BATCH_SIZE, 100), logger=logger)
File "/usr/local/lib/python2.7/dist-packages/mxnet/model.py", line 782, in fit
self._init_params(data.provide_data+data.provide_label)
File "/usr/local/lib/python2.7/dist-packages/mxnet/model.py", line 502, in _init_params
arg_shapes, _, aux_shapes = self.symbol.infer_shape(**input_shapes)
File "/usr/local/lib/python2.7/dist-packages/mxnet/symbol.py", line 872, in infer_shape
res = self._infer_shape_impl(False, *args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/mxnet/symbol.py", line 998, in _infer_shape_impl
ctypes.byref(complete)))
File "/usr/local/lib/python2.7/dist-packages/mxnet/base.py", line 84, in check_call
raise MXNetError(py_str(LIB.MXGetLastError()))
mxnet.base.MXNetError: Error in operator slicechannel0: [20:57:11] src/operator/./slice_channel-inl.h:198: Check failed: ishape[real_axis] == static_cast<size_t>(param.num_outputs) (3000 vs. 30) If squeeze axis is True, the size of the sliced axis must be the same as num_outputs. Input shape=(100,3000), axis=1, num_outputs=30.

Stack trace returned 10 entries:
[bt] (0) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(_ZN4dmlc15LogMessageFatalD1Ev+0x58) [0x3fff648bbc08]
[bt] (1) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(ZNK5mxnet2op16SliceChannelProp10InferShapeEPSt6vectorIN4nnvm6TShapeESaIS4_EES7_S7+0x65c) [0x3fff656ea52c]
[bt] (2) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x11cc178) [0x3fff653ac178]
[bt] (3) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(ZNSt17_Function_handlerIFbRKN4nnvm9NodeAttrsEPSt6vectorINS0_6TShapeESaIS5_EES8_EPS9_E9_M_invokeERKSt9_Any_dataS3_OS8_SF+0x34) [0x3fff648ada74]
[bt] (4) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x247e0c0) [0x3fff6665e0c0]
[bt] (5) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x247f78c) [0x3fff6665f78c]
[bt] (6) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x248077c) [0x3fff6666077c]
[bt] (7) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(_ZN4nnvm11ApplyPassesENS_5GraphERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EE+0x360) [0x3fff6668d380]
[bt] (8) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(_ZN4nnvm9ApplyPassENS_5GraphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE+0x260) [0x3fff6579e4b0]
[bt] (9) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(_ZN4nnvm4pass10InferShapeENS_5GraphESt6vectorINS_6TShapeESaIS3_EENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE+0x210) [0x3fff657a3620]

[gongxijun]

hi,@white2007 do you bulid the mxnet ?