From 33d46ff37e3272222a3c99641e1bbbdfe1e17d5d Mon Sep 17 00:00:00 2001
From: Antoni Olivier <olivier.antoni@cea.fr>
Date: Wed, 5 Jun 2024 22:13:15 +0200
Subject: [PATCH] Add backward functions for ReLU, Sigmoid and Tanh
---
.../aidge/backend/cpu/operator/ReLUImpl_backward_kernels.hpp | 2 +-
.../aidge/backend/cpu/operator/SigmoidImpl_backward_kernels.hpp | 2 +-
.../aidge/backend/cpu/operator/TanhImpl_backward_kernels.hpp | 2 +-
3 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/include/aidge/backend/cpu/operator/ReLUImpl_backward_kernels.hpp b/include/aidge/backend/cpu/operator/ReLUImpl_backward_kernels.hpp
index 02b5e30b..e67a4588 100644
--- a/include/aidge/backend/cpu/operator/ReLUImpl_backward_kernels.hpp
+++ b/include/aidge/backend/cpu/operator/ReLUImpl_backward_kernels.hpp
@@ -23,7 +23,7 @@ void ReLUImpl_cpu_backward_kernel(const std::size_t inputLenght,
const void* input_, const void* output_, const void* grad_output_,
void* grad_input_) {
const I* input = static_cast<const I*>(input_);
- #const O* output = static_cast<const O*>(output_);
+ //const O* output = static_cast<const O*>(output_);
const GO* grad_output = static_cast<const GO*>(grad_output_);
GI* grad_input = static_cast<GI*>(grad_input_);
for (std::size_t i = 0; i < inputLenght; ++i) {
diff --git a/include/aidge/backend/cpu/operator/SigmoidImpl_backward_kernels.hpp b/include/aidge/backend/cpu/operator/SigmoidImpl_backward_kernels.hpp
index e10f1d53..931a2e4d 100644
--- a/include/aidge/backend/cpu/operator/SigmoidImpl_backward_kernels.hpp
+++ b/include/aidge/backend/cpu/operator/SigmoidImpl_backward_kernels.hpp
@@ -22,7 +22,7 @@ template <class I, class O, class GI, class GO>
void SigmoidImpl_cpu_backward_kernel(const std::size_t inputLenght,
const void* input_, const void* output_, const void* grad_output_,
void* grad_input_) {
- #const I* input = static_cast<const I*>(input_);
+ //const I* input = static_cast<const I*>(input_);
const O* output = static_cast<const O*>(output_);
const GO* grad_output = static_cast<const GO*>(grad_output_);
GI* grad_input = static_cast<GI*>(grad_input_);
diff --git a/include/aidge/backend/cpu/operator/TanhImpl_backward_kernels.hpp b/include/aidge/backend/cpu/operator/TanhImpl_backward_kernels.hpp
index 6780a4e3..3f49e4c4 100644
--- a/include/aidge/backend/cpu/operator/TanhImpl_backward_kernels.hpp
+++ b/include/aidge/backend/cpu/operator/TanhImpl_backward_kernels.hpp
@@ -22,7 +22,7 @@ template <class I, class O, class GI, class GO>
void TanhImpl_cpu_backward_kernel(const std::size_t inputLenght,
const void* input_, const void* output_, const void* grad_output_,
void* grad_input_) {
- #const I* input = static_cast<const I*>(input_);
+ //const I* input = static_cast<const I*>(input_);
const O* output = static_cast<const O*>(output_);
const GO* grad_output = static_cast<const GO*>(grad_output_);
GI* grad_input = static_cast<GI*>(grad_input_);
--
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