Comments (5)
Sure. How do you intend to implement that in PyTorch and TensorFlow?
from eagerpy.
Here are the implementations for pytorch, tensorflow and jax.
from eagerpy.
Sounds good, feel free to open a PR
from eagerpy.
Ok, thanks @jonasrauber, I'm catching the development workflow and I should soon propose a PR on which we should iterate to accommodate style, testing etc...
from eagerpy.
Hi @jonasrauber, I proposed the PR #28. Let me know if you think something should be done differently. Thanks.
from eagerpy.
Related Issues (20)
- Will it support for SparseTensor (Tensorflow or Pytorch)? HOT 1
- How to Transform a torch tensor to tensorflow tensor HOT 1
- eagerpy not working together with Neural Tangents HOT 3
- Equivalent of `np.diag`? HOT 5
- topk
- Inclusion of probability distributions (scope question) HOT 1
- ep.totensor method? HOT 5
- add type conversions [feature request] HOT 4
- Python Scalars Support HOT 3
- Missing support for ep.nonzero() and ep.flatnonzero() HOT 1
- Have a decorator to wrap universal functions ? HOT 6
- Support for @ operator ? HOT 6
- Does a universal function can be compiled in tensorflow? HOT 5
- where method do not works with pytorch
- `index_update` seems very slow for tensorflow backend
- Why restrict cross entropy to 2D inputs only? HOT 1
- TensorFlowTensor.index_update fails for int64/float64 tensors and int/float values
- ValueError: Unknown type: <class 'tuple'>
- sigmoid support HOT 1
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from eagerpy.