[GitHub] MinZhaoLin commented on issue #9920: Asynchronous Issue on CustomOP and mxnet.image.ImageDetIter

[GitBox <gi...@apache.org>]

MinZhaoLin commented on issue #9920: Asynchronous Issue on CustomOP and mxnet.image.ImageDetIter
URL: https://github.com/apache/incubator-mxnet/issues/9920#issuecomment-415440794
 
 
   @wkcn 你好，请问你是怎么解决 Check failed: to->type_flag_ == from.type_flag_ (0 vs. 3) Source and target must have the same data type when copying across devices的，我一开始也是报了这个issue的错误，然后按照代码改了之后又会出现上面这个错误，我报错的信息是
   Traceback (most recent call last):
     File "train_softmax_fast.py", line 892, in <module>
       main()
     File "train_softmax_fast.py", line 889, in main
       train_net(args)
     File "train_softmax_fast.py", line 883, in train_net
       epoch_end_callback = epoch_cb )
     File "/usr/local/lib/python2.7/dist-packages/mxnet/module/multitaskmodulev3.py", line 269, in fit
       self.update_metric(gender_eval_metric, data_batch.label)
     File "/usr/local/lib/python2.7/dist-packages/mxnet/module/module.py", line 768, in update_metric
       self._exec_group.update_metric(eval_metric, labels)
     File "/usr/local/lib/python2.7/dist-packages/mxnet/module/executor_group.py", line 621, in update_metric
       eval_metric.update_dict(labels_, preds)
     File "/usr/local/lib/python2.7/dist-packages/mxnet/metric.py", line 304, in update_dict
       metric.update_dict(labels, preds)
     File "/usr/local/lib/python2.7/dist-packages/mxnet/metric.py", line 132, in update_dict
       self.update(label, pred)
     File "train_softmax_fast.py", line 203, in update
       print("pred_label before if is {}\n".format(mx.ndarray.array(pred_label)))
     File "/usr/local/lib/python2.7/dist-packages/mxnet/ndarray/ndarray.py", line 189, in __repr__
       return '\n%s\n<%s %s @%s>' % (str(self.asnumpy()),
     File "/usr/local/lib/python2.7/dist-packages/mxnet/ndarray/ndarray.py", line 1876, in asnumpy
       ctypes.c_size_t(data.size)))
     File "/usr/local/lib/python2.7/dist-packages/mxnet/base.py", line 149, in check_call
       raise MXNetError(py_str(_LIB.MXGetLastError()))
   mxnet.base.MXNetError: [14:31:06] src/ndarray/ndarray_function.cu:43: Check failed: to->type_flag_ == from.type_flag_ (0 vs. 3) Source and target must have the same data type when copying across devices.
   
   Stack trace returned 10 entries:
   [bt] (0) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x30756a) [0x7f8c83ab656a]
   [bt] (1) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x307b91) [0x7f8c83ab6b91]
   [bt] (2) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x401cd87) [0x7f8c877cbd87]
   [bt] (3) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2628a16) [0x7f8c85dd7a16]
   [bt] (4) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x263c41a) [0x7f8c85deb41a]
   [bt] (5) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x263c54b) [0x7f8c85deb54b]
   [bt] (6) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2472944) [0x7f8c85c21944]
   [bt] (7) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2478e13) [0x7f8c85c27e13]
   [bt] (8) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2479066) [0x7f8c85c28066]
   [bt] (9) /usr/local/lib/python2.7/dist-packages/mxnet/libmxnet.so(+0x2473054) [0x7f8c85c22054]
   请问你是如何解决的，我一共有三个自定义的AccMetric，前两个AccMetric用的方法都是mx.nd.array(pred_label, ctx=mx.current_context())来解决，奇怪的是前面两个加的地方不一样才可以，这第三个就完全解决不了了

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