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Related Issues (17)
- CUDNN bad param for backward pass with Float16 HOT 4
- `batched_gemm!` with CuArrays doesn't work HOT 3
- BatchNorm causes error during gradient computation HOT 7
- gpu `scatter` with `CartesianIndex` not supported HOT 2
- Slow ∇softmax! compared with generic version. HOT 15
- Interesting resources for optimizing various ops
- NNlibCUDA Heisenbug in conv! with nonzero beta HOT 7
- Do we need src/cudnn/activations.jl?
- No frule for some activations HOT 7
- conv on complex numbers
- Unconstrained element type on activations causing errors with e.g. Complex, ForwardDiff.Dual HOT 2
- `relu` propagates NaN on CPU but not on GPU HOT 7
- Maxpool misbehaving in some edge cases HOT 4
- SVectors on GPU CuArray cannot use index from CuArray HOT 2
- Disable `CUDNN_SOFTMAX_FAST` or use a separate math mode variable for `softmax` HOT 1
- Float16 CUDA `conv` broken on 5D tensors HOT 8
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