Comments (2)
Currently, an anonymous function is the only way to do so. Though, we could add a kwarg to disable this transformation.
from lux.jl.
Starting v0.4.23
, allow_fast_activation=false
will prevent the NNlib.fast_act(...)
conversion.
from lux.jl.
Related Issues (20)
- Feature request: Bidirectional for RNN layer. HOT 11
- Predefined loss functions HOT 1
- Static Type Parameters not accessible inside `@compact` HOT 1
- Auto detect and warn against performance pitfalls
- Add documentation about how to partial tests. HOT 2
- Feature request: 1D CNN, i.e. keras.layer.Conv1d HOT 6
- AMDGPU CI stalls
- Inference using `NN :: Chain` inside a GPU kernel HOT 4
- custom `show` is often not valid julia syntax to reconstruct
- Meta Issue for Reactant Compilation of Lux Models HOT 1
- Roadmap to v1 HOT 1
- Enzyme wrappers for AD utilities in Lux
- Error in `compute_gradients` when loss already has a `Zygote.gradient` HOT 6
- NCCL Complex wrapper HOT 1
- Drop `Tracker.jl` support for SimpleChains
- Feature request: TimeDistributed Layer HOT 1
- Feature Request: Allow recurrent layers with 2D input (features * seq_length), even if the order is BatchLastIndex HOT 2
- DifferentiationInterface testing HOT 4
- Missing statistics tracking in normalization layers
- unexpected parameter type for AbstractExplicitContainer with single trainable field HOT 1
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from lux.jl.