fix both document and a bug for RandomCrop #1389
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`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.
|
Job PR-1389-3 is done. |
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Job PR-1389-4 is done. |
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requested changes
Aug 5, 2020
gluoncv/data/transforms/block.py
Outdated
| return image.random_crop(nd.array(x_pad), *self._args)[0] | ||
|
|
||
| self.pad = ((pad, pad), (pad, pad), (0, 0)) if isinstance(pad, int) else pad | ||
| self.forward = self.forward_pad if self.pad else self.forward_nopad |
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can you avoid using monkey patch (self.forward_pad self.forward_nopad) but switch inside self.forward? it might be easier to catch error for single forward function
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fixed.
I just think using a monkey patch is better than using if since it should be faster.
|
Job PR-1389-5 is done. |
I just think monkey patch may goes faster than the useless switch in the forward step
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Job PR-1389-7 is done. |
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approved these changes
Aug 10, 2020
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@Neutron3529 Thanks for the update! this is merged |
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* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
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* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * only modify resnet * sanity checks for resnet.py * make pull request to rerun CI * py3.yml->mxnet master * mxnet_cu100-2.0.0b * mxnet_cu100-2.0.0b20200910-py2.py3-none-manylinux2014_x86_64.whl * pip=20.2.4 * pip=20.1.1 * https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200908-py2.py3-none-manylinux2014_x86_64.whl * fix error caused by weakref * disable import from mxnet.contrib.quantization Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
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* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * only modify resnet * sanity checks for resnet.py * make pull request to rerun CI * py3.yml->mxnet master * mxnet_cu100-2.0.0b * mxnet_cu100-2.0.0b20200910-py2.py3-none-manylinux2014_x86_64.whl * pip=20.2.4 * pip=20.1.1 * https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200908-py2.py3-none-manylinux2014_x86_64.whl * fix error caused by weakref * disable import from mxnet.contrib.quantization * mxnet master for cifarresnet * sanity checks Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
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* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * only modify resnet * sanity checks for resnet.py * make pull request to rerun CI * py3.yml->mxnet master * mxnet_cu100-2.0.0b * mxnet_cu100-2.0.0b20200910-py2.py3-none-manylinux2014_x86_64.whl * pip=20.2.4 * pip=20.1.1 * https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200908-py2.py3-none-manylinux2014_x86_64.whl * fix error caused by weakref * disable import from mxnet.contrib.quantization * mxnet master for cifarresnet * sanity checks * Revert "sanity checks" This reverts commit 116be00. * cifarresnext for MXNet-master * cifarwideresnet for MXNet-master * sanity checks * pylint Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
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Nov 6, 2020
* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * only modify resnet * sanity checks for resnet.py * make pull request to rerun CI * py3.yml->mxnet master * mxnet_cu100-2.0.0b * mxnet_cu100-2.0.0b20200910-py2.py3-none-manylinux2014_x86_64.whl * pip=20.2.4 * pip=20.1.1 * https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200908-py2.py3-none-manylinux2014_x86_64.whl * fix error caused by weakref * disable import from mxnet.contrib.quantization * mxnet master for cifarresnet * sanity checks * mxnet master for cifarresnet * Mxnet master for cifarwideresnet * Mxnet-master for cifarwideresnet * cifarresnext for MXNet master * cifarresnext for MXNet-master * miss a hybrid forward * seresnet * @use_np * @use_np * sanity Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
zhreshold
added a commit
that referenced
this pull request
Nov 6, 2020
* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * only modify resnet * sanity checks for resnet.py * make pull request to rerun CI * py3.yml->mxnet master * mxnet_cu100-2.0.0b * mxnet_cu100-2.0.0b20200910-py2.py3-none-manylinux2014_x86_64.whl * pip=20.2.4 * pip=20.1.1 * https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200908-py2.py3-none-manylinux2014_x86_64.whl * fix error caused by weakref * disable import from mxnet.contrib.quantization * mxnet master for cifarresnet * sanity checks * mxnet master for cifarresnet * Mxnet master for cifarwideresnet * Mxnet-master for cifarwideresnet * cifarresnext for MXNet master * cifarresnext for MXNet-master * miss a hybrid forward * pylint Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
zhreshold
added a commit
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this pull request
Nov 6, 2020
* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * only modify resnet * sanity checks for resnet.py * make pull request to rerun CI * py3.yml->mxnet master * mxnet_cu100-2.0.0b * mxnet_cu100-2.0.0b20200910-py2.py3-none-manylinux2014_x86_64.whl * pip=20.2.4 * pip=20.1.1 * https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200908-py2.py3-none-manylinux2014_x86_64.whl * fix error caused by weakref * disable import from mxnet.contrib.quantization * mxnet master for cifarresnet * sanity checks * mxnet master for cifarresnet * Mxnet master for cifarwideresnet * Mxnet-master for cifarwideresnet * residual * sanity * sanity Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
jinboci
added a commit
to jinboci/gluon-cv
that referenced
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Nov 7, 2020
* resnet.py numpy * fix both document and a bug for RandomCrop (dmlc#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (dmlc#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * only modify resnet * sanity checks for resnet.py * make pull request to rerun CI * py3.yml->mxnet master * mxnet_cu100-2.0.0b * mxnet_cu100-2.0.0b20200910-py2.py3-none-manylinux2014_x86_64.whl * pip=20.2.4 * pip=20.1.1 * https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200908-py2.py3-none-manylinux2014_x86_64.whl * fix error caused by weakref * disable import from mxnet.contrib.quantization * mxnet master for cifarresnet * sanity checks * Revert "sanity checks" This reverts commit 116be00. * cifarresnext for MXNet-master * cifarwideresnet for MXNet-master * sanity checks * pylint Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
jinboci
added a commit
to jinboci/gluon-cv
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Nov 7, 2020
* resnet.py numpy * fix both document and a bug for RandomCrop (dmlc#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (dmlc#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * only modify resnet * sanity checks for resnet.py * make pull request to rerun CI * py3.yml->mxnet master * mxnet_cu100-2.0.0b * mxnet_cu100-2.0.0b20200910-py2.py3-none-manylinux2014_x86_64.whl * pip=20.2.4 * pip=20.1.1 * https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200908-py2.py3-none-manylinux2014_x86_64.whl * fix error caused by weakref * disable import from mxnet.contrib.quantization * mxnet master for cifarresnet * sanity checks * mxnet master for cifarresnet * Mxnet master for cifarwideresnet * Mxnet-master for cifarwideresnet * cifarresnext for MXNet master * cifarresnext for MXNet-master * miss a hybrid forward * seresnet * @use_np * @use_np * sanity Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
jinboci
added a commit
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this pull request
Nov 7, 2020
* resnet.py numpy * fix both document and a bug for RandomCrop (dmlc#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (dmlc#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * only modify resnet * sanity checks for resnet.py * make pull request to rerun CI * py3.yml->mxnet master * mxnet_cu100-2.0.0b * mxnet_cu100-2.0.0b20200910-py2.py3-none-manylinux2014_x86_64.whl * pip=20.2.4 * pip=20.1.1 * https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200908-py2.py3-none-manylinux2014_x86_64.whl * fix error caused by weakref * disable import from mxnet.contrib.quantization * mxnet master for cifarresnet * sanity checks * mxnet master for cifarresnet * Mxnet master for cifarwideresnet * Mxnet-master for cifarwideresnet * residual * sanity * sanity Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
jinboci
added a commit
to jinboci/gluon-cv
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Nov 7, 2020
* resnet.py numpy * fix both document and a bug for RandomCrop (dmlc#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (dmlc#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * only modify resnet * sanity checks for resnet.py * make pull request to rerun CI * py3.yml->mxnet master * mxnet_cu100-2.0.0b * mxnet_cu100-2.0.0b20200910-py2.py3-none-manylinux2014_x86_64.whl * pip=20.2.4 * pip=20.1.1 * https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200908-py2.py3-none-manylinux2014_x86_64.whl * fix error caused by weakref * disable import from mxnet.contrib.quantization * mxnet master for cifarresnet * sanity checks * Revert "sanity checks" This reverts commit 116be00. * cifarresnext for MXNet-master * cifarwideresnet for MXNet-master * sanity checks * pylint Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
jinboci
added a commit
to jinboci/gluon-cv
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Nov 7, 2020
* resnet.py numpy * fix both document and a bug for RandomCrop (dmlc#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (dmlc#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * only modify resnet * sanity checks for resnet.py * make pull request to rerun CI * py3.yml->mxnet master * mxnet_cu100-2.0.0b * mxnet_cu100-2.0.0b20200910-py2.py3-none-manylinux2014_x86_64.whl * pip=20.2.4 * pip=20.1.1 * https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200908-py2.py3-none-manylinux2014_x86_64.whl * fix error caused by weakref * disable import from mxnet.contrib.quantization * mxnet master for cifarresnet * sanity checks * mxnet master for cifarresnet * Mxnet master for cifarwideresnet * Mxnet-master for cifarwideresnet * cifarresnext for MXNet master * cifarresnext for MXNet-master * miss a hybrid forward * seresnet * @use_np * @use_np * sanity Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
jinboci
added a commit
to jinboci/gluon-cv
that referenced
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Nov 7, 2020
* resnet.py numpy * fix both document and a bug for RandomCrop (dmlc#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (dmlc#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * only modify resnet * sanity checks for resnet.py * make pull request to rerun CI * py3.yml->mxnet master * mxnet_cu100-2.0.0b * mxnet_cu100-2.0.0b20200910-py2.py3-none-manylinux2014_x86_64.whl * pip=20.2.4 * pip=20.1.1 * https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200908-py2.py3-none-manylinux2014_x86_64.whl * fix error caused by weakref * disable import from mxnet.contrib.quantization * mxnet master for cifarresnet * sanity checks * mxnet master for cifarresnet * Mxnet master for cifarwideresnet * Mxnet-master for cifarwideresnet * residual * sanity * sanity Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
zhreshold
added a commit
that referenced
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Nov 23, 2020
* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * only modify resnet * sanity checks for resnet.py * make pull request to rerun CI * py3.yml->mxnet master * mxnet_cu100-2.0.0b * mxnet_cu100-2.0.0b20200910-py2.py3-none-manylinux2014_x86_64.whl * pip=20.2.4 * pip=20.1.1 * https://repo.mxnet.io/dist/python/cpu/mxnet-2.0.0b20200908-py2.py3-none-manylinux2014_x86_64.whl * fix error caused by weakref * disable import from mxnet.contrib.quantization * mxnet master for cifarresnet * sanity checks * mxnet master for cifarresnet * Mxnet master for cifarwideresnet * Mxnet-master for cifarwideresnet * groupnorm * gn * pylint * confliction of np * # pylint: disable=unused-import * set beta and gamma to default * fix gn Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
zhreshold
added a commit
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Nov 23, 2020
* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * Numpy API: cifar danet deeplab fcn pspnet... * commit message * resnest for mxnet-master * resnest for mxnet master * remove unrelated files * remove unrelated files * sanity * sanity * sanity * fixing error * fix resnest * resnext for mxnet-master * fix test_model_zoo * gluoncv/model_zoo/resnext.py:201:86: W0613: Unused argument 'stage_index' (unused-argument) * Unused argument 'stage_index' (unused-argument) * senet for mxnet-master Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
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Nov 24, 2020
* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * Numpy API: cifar danet deeplab fcn pspnet... * commit message * resnest for mxnet-master * resnest for mxnet master * remove unrelated files * remove unrelated files * sanity * sanity * sanity * fixing error * fix resnest * resnext for mxnet-master * fix test_model_zoo * gluoncv/model_zoo/resnext.py:201:86: W0613: Unused argument 'stage_index' (unused-argument) * Unused argument 'stage_index' (unused-argument) * senet for mxnet-master * mobilenet for mxnet-master * sanity Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
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Dec 18, 2020
* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * Numpy API: cifar danet deeplab fcn pspnet... * commit message * resnest for mxnet-master * resnest for mxnet master * remove unrelated files * remove unrelated files * sanity * sanity * sanity * fixing error * fix resnest * resnext for mxnet-master * fix test_model_zoo * gluoncv/model_zoo/resnext.py:201:86: W0613: Unused argument 'stage_index' (unused-argument) * Unused argument 'stage_index' (unused-argument) * senet for mxnet-master * squeezenet for mxnet master * squeezenet for mxnet master * model_store enable squeezenet pretrained * squeeze params changes Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
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* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * Numpy API: cifar danet deeplab fcn pspnet... * commit message * resnest for mxnet-master * resnest for mxnet master * remove unrelated files * remove unrelated files * sanity * sanity * sanity * fixing error * fix resnest * resnext for mxnet-master * fix test_model_zoo * gluoncv/model_zoo/resnext.py:201:86: W0613: Unused argument 'stage_index' (unused-argument) * Unused argument 'stage_index' (unused-argument) * senet for mxnet-master * mobilenet for mxnet-master * sanity * mobilenetv3 for mxnet master Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
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* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * Numpy API: cifar danet deeplab fcn pspnet... * commit message * resnest for mxnet-master * resnest for mxnet master * remove unrelated files * remove unrelated files * sanity * sanity * sanity * fixing error * fix resnest * resnext for mxnet-master * fix test_model_zoo * gluoncv/model_zoo/resnext.py:201:86: W0613: Unused argument 'stage_index' (unused-argument) * Unused argument 'stage_index' (unused-argument) * senet for mxnet-master * mobilenet for mxnet-master * sanity * mobilenetv3 for mxnet master * darknet only for mxnet master * from .yolo import * Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
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Jan 15, 2021
* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * Numpy API: cifar danet deeplab fcn pspnet... * commit message * resnest for mxnet-master * resnest for mxnet master * remove unrelated files * remove unrelated files * sanity * sanity * sanity * fixing error * fix resnest * resnext for mxnet-master * fix test_model_zoo * gluoncv/model_zoo/resnext.py:201:86: W0613: Unused argument 'stage_index' (unused-argument) * Unused argument 'stage_index' (unused-argument) * senet for mxnet-master * mobilenet for mxnet-master * sanity * mobilenetv3 for mxnet master * darknet only for mxnet master * from .yolo import * * test nn * alexnet for mxnet master * alexnet for mxnet master * make pull request * fix gn errors * model store update * Update model_store.py Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
zhreshold
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Jan 15, 2021
* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * Numpy API: cifar danet deeplab fcn pspnet... * commit message * resnest for mxnet-master * resnest for mxnet master * remove unrelated files * remove unrelated files * sanity * sanity * sanity * fixing error * fix resnest * resnext for mxnet-master * fix test_model_zoo * gluoncv/model_zoo/resnext.py:201:86: W0613: Unused argument 'stage_index' (unused-argument) * Unused argument 'stage_index' (unused-argument) * senet for mxnet-master * mobilenet for mxnet-master * sanity * mobilenetv3 for mxnet master * darknet only for mxnet master * from .yolo import * * test nn * alexnet for mxnet master * alexnet googlenet for mxnet master * fix test nn * googlenet for mxnet master * use_np * model_store * Update model_store.py Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
zhreshold
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Jan 15, 2021
* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * Numpy API: cifar danet deeplab fcn pspnet... * commit message * resnest for mxnet-master * resnest for mxnet master * remove unrelated files * remove unrelated files * sanity * sanity * sanity * fixing error * fix resnest * resnext for mxnet-master * fix test_model_zoo * gluoncv/model_zoo/resnext.py:201:86: W0613: Unused argument 'stage_index' (unused-argument) * Unused argument 'stage_index' (unused-argument) * senet for mxnet-master * mobilenet for mxnet-master * sanity * mobilenetv3 for mxnet master * densenet for mxnet master * darknet only for mxnet master * from .yolo import * * test nn * alexnet for mxnet master * alexnet googlenet for mxnet master * fix test nn * vgg for mxnet master * change model store * update pretrained models * update model_store * Trigger Build * Trigger Build * Trigger Build Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
zhreshold
added a commit
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Jan 15, 2021
* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * Numpy API: cifar danet deeplab fcn pspnet... * commit message * resnest for mxnet-master * resnest for mxnet master * remove unrelated files * remove unrelated files * sanity * sanity * sanity * fixing error * fix resnest * resnext for mxnet-master * fix test_model_zoo * gluoncv/model_zoo/resnext.py:201:86: W0613: Unused argument 'stage_index' (unused-argument) * Unused argument 'stage_index' (unused-argument) * senet for mxnet-master * mobilenet for mxnet-master * sanity * mobilenetv3 for mxnet master * darknet only for mxnet master * from .yolo import * * test nn * alexnet for mxnet master * alexnet googlenet for mxnet master * fix test nn * vgg for mxnet master * change model store * vgg model_store Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
zhreshold
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Jan 15, 2021
* resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * 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 * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * Numpy API: cifar danet deeplab fcn pspnet... * commit message * resnest for mxnet-master * resnest for mxnet master * remove unrelated files * remove unrelated files * sanity * sanity * sanity * fixing error * fix resnest * resnext for mxnet-master * fix test_model_zoo * gluoncv/model_zoo/resnext.py:201:86: W0613: Unused argument 'stage_index' (unused-argument) * Unused argument 'stage_index' (unused-argument) * senet for mxnet-master * mobilenet for mxnet-master * sanity * mobilenetv3 for mxnet master * densenet for mxnet master * squeezenet * darknet only for mxnet master * from .yolo import * * test nn * alexnet for mxnet master * alexnet googlenet for mxnet master * fix test nn * vgg for mxnet master * change model store * update pretrained models * update model_store * Trigger Build * Trigger Build * Trigger Build * Trigger Build * fix ci issues * fix bugs * with np_shape(False): * sanity * with np_shape(False): * sanity * mx.np_shape * Update resnetv1b_pruned.py * Update resnetv1b_pruned.py * fixing * try fixing * try fixing * sanity * sanity * revert changes for pruned * Trigger Build Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal>
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RandomCroppad first and then crop, not what is said in the document or even CIFAR tutorials.further, an error occurs with the default
pad=NoneThis PR is intend to fix both the document and the BUG which caused
padcannot be optional.