squeezenet.py for MXNet-master #1521
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* fix both document and a bug for RandomCrop
`RandomCrop` pad first and then crop, not what is said in the document or even CIFAR tutorials.
further, an error occurs with the default `pad=None`
```
>>> for i in train_data:break
...
multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "/usr/lib/python3.8/multiprocessing/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataloader.py", line 450, in _worker_fn
batch = batchify_fn([_worker_dataset[i] for i in samples])
File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataloader.py", line 450, in <listcomp>
batch = batchify_fn([_worker_dataset[i] for i in samples])
File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataset.py", line 219, in __getitem__
return self._fn(*item)
File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataset.py", line 230, in __call__
return (self._fn(x),) + args
File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/block.py", line 693, in __call__
out = self.forward(*args)
File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/nn/basic_layers.py", line 55, in forward
x = block(x)
File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/block.py", line 693, in __call__
out = self.forward(*args)
File "/home/neutron/.local/lib/python3.8/site-packages/gluoncv/data/transforms/block.py", line 75, in forward
return image.random_crop(nd.array(x_pad), *self._args)[0]
UnboundLocalError: local variable 'x_pad' referenced before assignment
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataloader.py", line 505, in __next__
batch = pickle.loads(ret.get(self._timeout))
File "/usr/lib/python3.8/multiprocessing/pool.py", line 771, in get
raise self._value
UnboundLocalError: local variable 'x_pad' referenced before assignment
```
This PR is intend to fix both the document and the BUG which caused `pad` cannot be optional.
* make pylint happy.
make pylint happy.
* happy-2
happy-2
* remove monkey patch
I just think monkey patch may goes faster than the useless switch in the forward step
* make checkers happy
* bump up to 0.9 pre * fix nightly build mxnet
This reverts commit d2daaa3.
…to numpy-resnet
…into mxnet20-resnest
…dex' (unused-argument)
jinboci
commented
Nov 17, 2020
gluoncv/model_zoo/model_store.py
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| # ('264ba4970a0cc87a4f15c96e25246a1307caf523', 'squeezenet1.0'), | ||
| # ('33ba0f93753c83d86e1eb397f38a667eaf2e9376', 'squeezenet1.1'), |
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Avoid loading pretrained models
|
Job PR-1521-2 is done. |
|
Job PR-1521-4 is done. |
|
Job PR-1521-5 is done. |
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squeezenet for MXNet-master
Have Not Passed tests for
squeezenet.pyattest_imagenet_models()intest_model_zoo.pyon my local sever:Debugging:
Changes due to mxnet-master's different implementations from 1.7:
nn.HybridSequentialon mxnet-master does not accept the parameterprefixname_scopedefined in classHybridSequentialHybridBlockBlockon mxnet-master (block.py)HybridConcatenate: [API] clean up gluon contrib apache/mxnet#19046