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Posted to issues@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/10/14 20:32:24 UTC
[GitHub] [incubator-mxnet] samskalicky opened a new issue #19351: Softmax_label magically appears
samskalicky opened a new issue #19351:
URL: https://github.com/apache/incubator-mxnet/issues/19351
## Description
The Softmax/SoftmaxOutput operator has an optional `label` input that is enabled by setting the `ignore_label` or `use_length`:
https://github.com/apache/incubator-mxnet/blob/master/src/operator/nn/softmax-inl.h#L616-L618
https://github.com/apache/incubator-mxnet/blob/v1.x/src/operator/softmax_output-inl.h#L61-L63
Many common image classification/CNN models use softmax, but dont use the `softmax_label` input meaningfully. Yet there is an actual input to the model for this.
### Error Message
Symbol/Module flow:
```
Traceback (most recent call last):
File "test.py", line 13, in <module>
mod.set_params(args, aux)
File "/home/ubuntu/incubator-mxnet/python/mxnet/module/module.py", line 350, in set_params
allow_extra=allow_extra)
File "/home/ubuntu/incubator-mxnet/python/mxnet/module/module.py", line 309, in init_params
_impl(desc, arr, arg_params)
File "/home/ubuntu/incubator-mxnet/python/mxnet/module/module.py", line 300, in _impl
raise RuntimeError("%s is not presented" % name)
RuntimeError: softmax_label is not presented
```
Gluon flow:
```
Traceback (most recent call last):
File "test.py", line 5, in <module>
'resnet-18-0000.params')
File "/home/ubuntu/incubator-mxnet/python/mxnet/gluon/block.py", line 1409, in imports
dtype_source='saved')
File "/home/ubuntu/incubator-mxnet/python/mxnet/gluon/parameter.py", line 1020, in load
ignore_extra, restore_prefix, filename, cast_dtype, dtype_source)
File "/home/ubuntu/incubator-mxnet/python/mxnet/gluon/parameter.py", line 1057, in load_dict
name[lprefix:], error_str, _brief_print_list(arg_dict.keys()))
AssertionError: Parameter 'softmax_label' is missing in file: resnet-18-0000.params, which contains parameters: 'stage1_unit1_sc_weight', 'stage2_unit1_bn2_gamma', 'bn_data_moving_var', ..., 'stage2_unit2_conv1_weight', 'stage1_unit2_bn1_gamma', 'stage2_unit2_bn1_moving_var', 'stage2_unit2_bn2_moving_var'. Please make sure source and target networks have the same prefix.For more info on naming, please see https://mxnet.io/api/python/docs/tutorials/packages/gluon/blocks/naming.html
```
## To Reproduce
comment out the `allow_missing=True` to reproduce the error messages.
```
import mxnet as mx
path='http://data.mxnet.io/models/imagenet/'
[mx.test_utils.download(path+'resnet/18-layers/resnet-18-0000.params'),
mx.test_utils.download(path+'resnet/18-layers/resnet-18-symbol.json')]
block = mx.gluon.nn.SymbolBlock.imports('resnet-18-symbol.json',
['data'],
'resnet-18-0000.params',
allow_missing=True)
sym, args, aux = mx.model.load_checkpoint('resnet-18',0)
mod = mx.mod.Module(symbol=sym, context=mx.cpu(), label_names=None)
mod.bind(for_training=False, data_shapes=[('data', (1,3,224,224))],
label_shapes=mod._label_shapes)
mod.set_params(args, aux,
allow_missing=True)
```
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[GitHub] [incubator-mxnet] xmfbit commented on issue #19351: Softmax_label magically appears
Posted by GitBox <gi...@apache.org>.
xmfbit commented on issue #19351:
URL: https://github.com/apache/incubator-mxnet/issues/19351#issuecomment-994534654
I have met the same problem, and how to fix it?
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