Comments (3)
I am for the _
addons, but it is hard to test since it depends on the backend selection which warnings are spawn.
from juice.
But yes, this is something definitely to be taken care of, especially to de-clutter the build process.
from juice.
that's a good point though, i really doubt rustc team want to try to untangle checking feature-conditional warnings automatically, so i doubt there's much we can do for the time being.
from juice.
Related Issues (20)
- Error when executing "example-rnn-regression" juice example on aarch64 target HOT 16
- Mismatched type error when compiling juice for aarch64 HOT 1
- error[E0599] no associated item named 'CUDNN_RNN_PADDED_IO_DISABLED' HOT 2
- example/rnn: Batch size must not cause errors in test HOT 1
- Failed to build HOT 4
- Fails to build on rcudnn. HOT 4
- Implement BatchNormalization2d Layer HOT 2
- Native support for Convolution Layer HOT 2
- Potential bug in NegativeLogLikelihood impl HOT 9
- cblas linker error HOT 12
- Juice for Deep Reinforcement Learning HOT 17
- add non-cuda examples HOT 3
- Fails to build with default features off HOT 1
- cuda-memcheck: "Address ... is out of bounds" HOT 1
- Unclear how to correctly compute dot product HOT 1
- The Juice book is out of date
- Unhelpful panic message on (presumably?) invalid inputs to `forward` HOT 1
- In new arch, make Layer operations return Result instead of panicking internally
- How can you continue training a model from a file? HOT 15
- Merge Layer
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