Comments (2)
This will require something to calculate std deviation for last dim
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First version can just use mean_last_dim()
and std_last_dim()
, and NO elementwise affine. This should make it applicable to ANY tensor. element wise affine should only be applicable to 1d or 2d tensors with the same dimension.
also paper is https://arxiv.org/abs/1607.06450
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Related Issues (20)
- Consider helpers for accessing tensors from tuples and input wrappers HOT 1
- Question / clarification regarding heap allocations HOT 2
- Examples or resources for autodiff with 2 networks?
- Bug: `Sequential` macro provide `forward_mut` as `forward`
- Replace explicit features and paths on generated code
- Send/Sync for Device HOT 1
- Add `OUTPUT_PADDING` to `ConvTrans2D`
- Split `TryConcatAlong` into different traits
- Add `Prodigy` optimizer HOT 1
- Run tests with miri HOT 1
- Reduce test sizes HOT 1
- Unclear how to handle error type in `dfdx::nn::LoadFromNpz::load`
- Add `nn::AdaptiveAvgPool2D`
- How does one update one model from another model? HOT 1
- Unable to build with old CUDA version (`CUDA_COMPUTE_CAP = 52`)
- OpenXLA Support HOT 3
- CUDA kernels missing __hmin and __hmax HOT 1
- Non-trainable parameters? HOT 1
- can not perform tensor operations (add/sub/mul/...) on tensors with non float datatype
- Kernels written in rust-gpu
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