Comments (2)
Here is the function:
def _validate_loss_input(loss):
dir_f = dir(F)
loss_fns = [d.lower() for d in dir_f]
if isinstance(loss, str):
if loss.lower() == 'unconstrained':
return lambda x: x
elif loss.lower() == 'unconstrained_sum':
return lambda x: x.sum()
elif loss.lower() == 'unconstrained_mean':
return lambda x: x.mean()
else:
try:
str_idx = loss_fns.index(loss.lower())
except:
raise ValueError('Invalid loss string input - must match pytorch function.')
return getattr(F, dir(F)[str_idx])
elif callable(loss):
return loss
else:
raise ValueError('Invalid loss input')
You can see it matches the function names in torch.nn.functional
(doesn't matter if the given case is wrong). You can also just pass in a callable function that takes the same arguments as something like F.nll_loss
and it will use that.
from torchsample.
Thanks!
from torchsample.
Related Issues (20)
- Binary Classification not working HOT 1
- Using Pre-Trained models
- How to set the learning rate for the optimizer in the ModuleTrainer compile function
- Are there any tutorials and documents for this repo? HOT 1
- How can I use torchsample with vae
- Range Normalization divide by 0?
- is this still under development?
- Pytorch1.3 upgradations welcome??
- Callbacks.ReduceLROnPlateau seems not work for small learning rate
- Can torchsample augment 3D medical image directly? HOT 1
- callback with input data (and targets)
- AlphaPose Project for python don't run on my windows10 (2020)
- Contact HOT 1
- Installing torchsample and ModuleTrainer
- customized loss function HOT 1
- Index error in module_trainer.py HOT 1
- Missing data type conversion for interpolation
- Support for torch Variables
- pip3 install
- Binary Classification Accuracy calculation error
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from torchsample.