[GitHub] [incubator-mxnet] smartwell opened a new issue #15470: it maye be is a bug, how to explain

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

smartwell opened a new issue #15470: it maye be is a bug, how to explain
URL: https://github.com/apache/incubator-mxnet/issues/15470
 
 
   mxnet 1.5  ubuntu 16.04
   ```
   from mxnet import gluon
   from mxnet import nd
   from mxnet import autograd
   import mxnet.gluon.nn as nn
   
   class Generator(gluon.HybridBlock):
   
       def __init__(self, alloc_size=(5, 5), **kwargs):
           super(Generator, self).__init__(**kwargs)
   
   
           self.cnnblock = nn.HybridSequential()
   
           self.cnnblock.add(
               nn.Conv2D(32, kernel_size=3, strides=1, padding=1),
               nn.BatchNorm(),
               nn.LeakyReLU(0.2),
           )
           anchors = self._generate_anchors(alloc_size)
           self._key = 'anchor_1'
           self.anchors = self.params.get_constant(self._key, anchors)
   
       def _generate_anchors(self, alloc_size):
           return nd.random.uniform(shape=alloc_size)
   
       def hybrid_forward(self, F, x, anchors):
   
           if autograd.is_training():
               x = self.cnnblock(x)
   
               return x
           a = self.cnnblock(x)
   
           return a
   
   generator = Generator()
   generator.hybridize()
   generator.initialize()
   
   x = nd.random.uniform(shape=(1, 3, 512, 512))
   with autograd.train_mode():
       o = generator(x)
       print(o)
   ```
   
   error：
   `mxnet.gluon.parameter.DeferredInitializationError: Parameter 'conv0_weight' has not been initialized yet because initialization was deferred. Actual initialization happens during the first forward pass`
   
   if you delete all things about anchor ,it can run successfully

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