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Deepity
Ultra-fast, SIMD-accelerated Predictive Coding
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Just the ActivationType enum, deliberately split out of Activations.h – zero dependency on <immintrin.h>/<sleef.h>/<omp.h>. More...
#include <cstdint>Go to the source code of this file.
Namespaces | |
| namespace | Deep |
| This file exists to provide both Tensor.h and IComputeBackend.h with device types without introducing circular dependencies. | |
Enumerations | |
| enum class | Deep::ActivationType : uint8_t { Deep::RELU , Deep::dRELU , Deep::GELU , Deep::dGELU , Deep::SIGMOID , Deep::dSIGMOID , Deep::eSIGMOID , Deep::d_eSIGMOID , Deep::TANH , Deep::dTANH , Deep::LINEAR , Deep::dLINEAR , Deep::NONE } |
| Identifies an activation function or its derivative, for dispatch tables and layer/backend APIs that need to name an activation without depending on the SIMD implementations themselves (see the file-level note above on why this is split out of Activations.h). More... | |
Just the ActivationType enum, deliberately split out of Activations.h – zero dependency on <immintrin.h>/<sleef.h>/<omp.h>.
Why this exists: IComputeBackend.h's methods take ActivationType as a plain enum parameter and never touch the actual CPU SIMD function implementations (ActivationFn/DerivativeFn/To_Fn/etc. all live in the full Activations.h) – so IComputeBackend.h, and everything that includes it (crucially CUDABackend.h/.cu, compiled by nvcc), never needed the SIMD-intrinsics half of Activations.h at all.