Light-- edited a comment on issue #647:
URL: https://github.com/apache/incubator-mxnet/issues/647#issuecomment-722755668
any guidance here? how to save the multi-output symbol?
i used this,
```
arg, aux = model.get_params()
all_layers = model.symbol.get_internals()
_sym = all_layers['fc1_output', 'fcAge_output', 'fcGen_output',
'fcRac_output']
_arg = {}
for k in arg:
_arg[k] = arg[k]
mx.model.save_checkpoint(prefix, msave, _sym, _arg, aux)
```
but failed....
```
Traceback (most recent call last):
File "train_110511.py", line 422, in <module>
main()
File "train_110511.py", line 419, in main
train_net(args)
File "train_110511.py", line 414, in train_net
epoch_end_callback = epoch_cb )
File
"/home/usr1/miniconda3/envs/py377/lib/python3.7/site-packages/mxnet/module/base_module.py",
line 553, in fit
callback(batch_end_params)
File "train_110511.py", line 382, in _batch_callback
_sym = all_layers['fc1_output', 'fcAge_output', 'fcGen_output',
'fcRac_output']
File
"/home/usr1/miniconda3/envs/py377/lib/python3.7/site-packages/mxnet/symbol/symbol.py",
line 550, in __getitem__
raise TypeError('Symbol only support integer index to fetch i-th output')
TypeError: Symbol only support integer index to fetch i-th output
```
i don't know why, because when i run single-task network, ```_sym =
all_layers['fc1_output'] ``` worked.
@tqchen @pluskid @piiswrong @ChrisYang @arank
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