[GitHub] jaewoosong opened a new issue #7681: ValueError: Data provided by data_shapes don't match names specified by data_names ([] vs. ['data'])

[gi...@git.apache.org]

jaewoosong opened a new issue #7681: ValueError: Data provided by data_shapes don't match names specified by data_names ([] vs. ['data'])
URL: https://github.com/apache/incubator-mxnet/issues/7681
 
 
   For bugs or installation issues, please provide the following information.
   The more information you provide, the more likely people will be able to help you.
   
   ## Environment info
   Operating System: Ubuntu 16.04
   
   Compiler: Python 3.6.1 (Anaconda 4.4.0, 64bit), installed by pip
   
   Package used (Python/R/Scala/Julia): Python
   
   MXNet version: 0.11.0
   
   Python version and distribution: Python 3.6.1 (Anaconda 4.4.0, 64bit), installed by pip
   
   ## Error Message:
   ```
   Traceback (most recent call last):
     File "/home/jaewoo/temp2.py", line 63, in <module>
       mod.fit(data_iter, num_epoch=5)
     File "/home/jaewoo/Programs/anaconda3/lib/python3.6/site-packages/mxnet/module/base_module.py", line 487, in fit
       self.forward_backward(data_batch)
     File "/home/jaewoo/Programs/anaconda3/lib/python3.6/site-packages/mxnet/module/base_module.py", line 191, in forward_backward
       self.forward(data_batch, is_train=True)
     File "/home/jaewoo/Programs/anaconda3/lib/python3.6/site-packages/mxnet/module/module.py", line 594, in forward
       self.reshape(new_dshape, new_lshape)
     File "/home/jaewoo/Programs/anaconda3/lib/python3.6/site-packages/mxnet/module/module.py", line 457, in reshape
       self.data_names, self.label_names, data_shapes, label_shapes)
     File "/home/jaewoo/Programs/anaconda3/lib/python3.6/site-packages/mxnet/module/base_module.py", line 71, in _parse_data_desc
       _check_names_match(data_names, data_shapes, 'data', True)
     File "/home/jaewoo/Programs/anaconda3/lib/python3.6/site-packages/mxnet/module/base_module.py", line 63, in _check_names_match
       raise ValueError(msg)
   ValueError: Data provided by data_shapes don't match names specified by data_names ([] vs. ['data'])
   ```
   
   ## Minimum reproducible example
   ```
   import mxnet as mx
   import os
   import subprocess
   import numpy as np
   import matplotlib.pyplot as plt
   import tarfile
   
   import warnings
   warnings.filterwarnings("ignore", category=DeprecationWarning)
   
   class SimpleIter(mx.io.DataIter):
       def __init__(self, data_names, data_shapes, data_gen,
                    label_names, label_shapes, label_gen, num_batches=10):
           self._provide_data = zip(data_names, data_shapes)
           self._provide_label = zip(label_names, label_shapes)
           self.num_batches = num_batches
           self.data_gen = data_gen
           self.label_gen = label_gen
           self.cur_batch = 0
   
       def __iter__(self):
           return self
   
       def reset(self):
           self.cur_batch = 0
   
       def __next__(self):
           return self.next()
   
       @property
       def provide_data(self):
           return self._provide_data
   
       @property
       def provide_label(self):
           return self._provide_label
   
       def next(self):
           if self.cur_batch < self.num_batches:
               self.cur_batch += 1
               data = [mx.nd.array(g(d[1])) for d,g in zip(self._provide_data, self.data_gen)]
               label = [mx.nd.array(g(d[1])) for d,g in zip(self._provide_label, self.label_gen)]
               return mx.io.DataBatch(data, label)
           else:
               raise StopIteration
   
   num_classes = 10
   net = mx.sym.Variable('data')
   net = mx.sym.FullyConnected(data=net, name='fc1', num_hidden=64)
   net = mx.sym.Activation(data=net, name='relu1', act_type="relu")
   net = mx.sym.FullyConnected(data=net, name='fc2', num_hidden=num_classes)
   net = mx.sym.SoftmaxOutput(data=net, name='softmax')
   print(net.list_arguments())
   print(net.list_outputs())
   
   n = 32
   data_iter = SimpleIter(['data'], [(n, 100)],
                     [lambda s: np.random.uniform(-1, 1, s)],
                     ['softmax_label'], [(n,)],
                     [lambda s: np.random.randint(0, num_classes, s)])
   
   mod = mx.mod.Module(symbol=net)
   mod.fit(data_iter, num_epoch=5)
   ```
   Actually this code is same as the official mxnet tutorial. ( https://mxnet.incubator.apache.org/tutorials/basic/data.html )
   
   ## What have you tried to solve it?
   It seems `def _parse_data_desc(data_names, label_names, data_shapes, label_shapes)` and `def _check_names_match(data_names, data_shapes, name, throw)` have bugs.
 
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