When training on my custom dataset, I wanted to plot the gradients of each model's loss function using tensorboard, but I was confused when I found out that for "_parameters" field is empty for netG, netD & netOCR models, same goes for "_state_dict_hooks" field.
Here are some log lines:
`End of epoch 3 / 200 Time Taken: 171 sec
learning rate = 0.0002000
Model netOCR _parameters: {}
Model netOCR _state_dict_hooks: OrderedDict()
Model netG _parameters: OrderedDict()
Model netG G_param: SN
Model netG _state_dict_hooks: OrderedDict()
Model netD _parameters: OrderedDict()
Model netD D_param: SN
Model netD _state_dict_hooks: OrderedDict()`
not sure I see why this would happen, but this implementation writes on default into a 'visdom' server, which can replace tensorboard in most cases - did you try to use that?
Hello, Thanks for your amazing work !
When training on my custom dataset, I wanted to plot the gradients of each model's loss function using tensorboard, but I was confused when I found out that for "_parameters" field is empty for netG, netD & netOCR models, same goes for "_state_dict_hooks" field. Here are some log lines:
`End of epoch 3 / 200 Time Taken: 171 sec learning rate = 0.0002000 Model netOCR _parameters: {} Model netOCR _state_dict_hooks: OrderedDict()
Model netG _parameters: OrderedDict() Model netG G_param: SN Model netG _state_dict_hooks: OrderedDict()
Model netD _parameters: OrderedDict() Model netD D_param: SN Model netD _state_dict_hooks: OrderedDict()`
Can anyone explain this, please?