diff options
Diffstat (limited to 'src/graph/nodes/NormalizationLayer.cpp')
-rw-r--r-- | src/graph/nodes/NormalizationLayer.cpp | 28 |
1 files changed, 14 insertions, 14 deletions
diff --git a/src/graph/nodes/NormalizationLayer.cpp b/src/graph/nodes/NormalizationLayer.cpp index 55ef9bf243..99d07dc8da 100644 --- a/src/graph/nodes/NormalizationLayer.cpp +++ b/src/graph/nodes/NormalizationLayer.cpp @@ -34,7 +34,7 @@ using namespace arm_compute::graph; namespace { -template <typename NormalizationType, typename TensorType, Hint hint> +template <typename NormalizationType, typename TensorType, TargetHint target_hint> std::unique_ptr<arm_compute::IFunction> instantiate_function(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info) { auto norm = arm_compute::support::cpp14::make_unique<NormalizationType>(); @@ -46,19 +46,19 @@ std::unique_ptr<arm_compute::IFunction> instantiate_function(ITensor *input, ITe return std::move(norm); } -template <Hint hint> +template <TargetHint target_hint> std::unique_ptr<arm_compute::IFunction> instantiate(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info); template <> -std::unique_ptr<arm_compute::IFunction> instantiate<Hint::OPENCL>(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info) +std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::OPENCL>(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info) { - return instantiate_function<arm_compute::CLNormalizationLayer, arm_compute::CLTensor, Hint::OPENCL>(input, output, norm_info); + return instantiate_function<arm_compute::CLNormalizationLayer, arm_compute::CLTensor, TargetHint::OPENCL>(input, output, norm_info); } template <> -std::unique_ptr<arm_compute::IFunction> instantiate<Hint::NEON>(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info) +std::unique_ptr<arm_compute::IFunction> instantiate<TargetHint::NEON>(ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info) { - return instantiate_function<arm_compute::NENormalizationLayer, arm_compute::Tensor, Hint::NEON>(input, output, norm_info); + return instantiate_function<arm_compute::NENormalizationLayer, arm_compute::Tensor, TargetHint::NEON>(input, output, norm_info); } } // namespace @@ -67,20 +67,20 @@ NormalizationLayer::NormalizationLayer(const NormalizationLayerInfo norm_info) { } -std::unique_ptr<arm_compute::IFunction> NormalizationLayer::instantiate_node(Hint hint, ITensor *input, ITensor *output) +std::unique_ptr<arm_compute::IFunction> NormalizationLayer::instantiate_node(GraphContext &ctx, ITensor *input, ITensor *output) { std::unique_ptr<arm_compute::IFunction> func; - _hint = hint; - _input = input; - _output = output; + _target_hint = ctx.hints().target_hint(); + _input = input; + _output = output; - if(_hint == Hint::OPENCL) + if(_target_hint == TargetHint::OPENCL) { - func = instantiate<Hint::OPENCL>(input, output, _norm_info); + func = instantiate<TargetHint::OPENCL>(input, output, _norm_info); } else { - func = instantiate<Hint::NEON>(input, output, _norm_info); + func = instantiate<TargetHint::NEON>(input, output, _norm_info); } return func; @@ -88,7 +88,7 @@ std::unique_ptr<arm_compute::IFunction> NormalizationLayer::instantiate_node(Hin void NormalizationLayer::print_info() { - if(_hint == Hint::OPENCL) + if(_target_hint == TargetHint::OPENCL) { std::cout << "Instantiating CLNormalizationLayer"; } |