seekFire opened a new issue #19499:
URL: https://github.com/apache/incubator-mxnet/issues/19499
## Description
I set weight decay in the key 'wd' of the dict "optimizer_params" as follows:
optimizer_params={'learning_rate': lr, 'momentum': momentum,
'lr_scheduler': scheduler, 'wd':
weight_decay}
the value of "weight_decay" is 1e-4, but the error message will be located
on the line:
`trainer.step(batch_size=batchsize)`
### Error Message
The error message is as follows:
File
"/home/bst/anaconda2/envs/Python3/lib/python3.7/site-packages/mxnet/optimizer/optimizer.py",
line 487, in _get_wds
wds[i] *= self.param_dict[index].wd_mult
TypeError: can't multiply sequence by non-int of type 'float'
## What have you tried to solve it?
When I get rid of the keyword 'wd' of dict "optimizer_params", the error
above will not occurs, but new error will occurs in logging stage:
```
logger.info("Training: [epoch: %d, steps: %d, learning_rate: %.2e,
batch_loss: %.4f, batch_time: %.2fs]"
% (i, step_num, trainer.learning_rate,
batch_loss.mean().asscalar(), cost_batch))
```
The new error message is as follow:
mxnet.base.MXNetError: Traceback (most recent call last):
File "src/storage/./pooled_storage_manager.h", line 161
MXNetError: cudaMalloc retry failed: out of memory
## Environment
Python3.7
mxnet-cu102==1.7.0
So could you please help me with these questions?
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