diff options
Diffstat (limited to 'src/runtime/NEON/functions/NENormalizationLayer.cpp')
-rw-r--r-- | src/runtime/NEON/functions/NENormalizationLayer.cpp | 17 |
1 files changed, 11 insertions, 6 deletions
diff --git a/src/runtime/NEON/functions/NENormalizationLayer.cpp b/src/runtime/NEON/functions/NENormalizationLayer.cpp index dfc73b2a57..d6d2e9dc46 100644 --- a/src/runtime/NEON/functions/NENormalizationLayer.cpp +++ b/src/runtime/NEON/functions/NENormalizationLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2020 Arm Limited. + * Copyright (c) 2017-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -29,8 +29,9 @@ #include "arm_compute/core/Types.h" #include "arm_compute/core/Validate.h" #include "arm_compute/runtime/NEON/NEScheduler.h" + +#include "src/common/utils/Log.h" #include "src/core/NEON/kernels/NENormalizationLayerKernel.h" -#include "support/MemorySupport.h" namespace arm_compute { @@ -44,6 +45,7 @@ NENormalizationLayer::NENormalizationLayer(std::shared_ptr<IMemoryManager> memor void NENormalizationLayer::configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_LOG_PARAMS(input, output, norm_info); TensorInfo tensor_info(input->info()->tensor_shape(), 1, input->info()->data_type()); _input_squared.allocator()->init(tensor_info); @@ -52,7 +54,7 @@ void NENormalizationLayer::configure(const ITensor *input, ITensor *output, cons _memory_group.manage(&_input_squared); // Configure kernels - _norm_kernel = arm_compute::support::cpp14::make_unique<NENormalizationLayerKernel>(); + _norm_kernel = std::make_unique<NENormalizationLayerKernel>(); _norm_kernel->configure(input, &_input_squared, output, norm_info); _multiply_f.configure(input, input, &_input_squared, 1.0f, ConvertPolicy::SATURATE, RoundingPolicy::TO_ZERO); @@ -60,13 +62,16 @@ void NENormalizationLayer::configure(const ITensor *input, ITensor *output, cons _input_squared.allocator()->allocate(); } -Status NENormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const NormalizationLayerInfo &norm_info) +Status NENormalizationLayer::validate(const ITensorInfo *input, + const ITensorInfo *output, + const NormalizationLayerInfo &norm_info) { // Perform validation step ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); ARM_COMPUTE_RETURN_ON_ERROR(NENormalizationLayerKernel::validate(input, input, output, norm_info)); - ARM_COMPUTE_RETURN_ON_ERROR(NEPixelWiseMultiplication::validate(input, input, output, 1.0f, ConvertPolicy::SATURATE, RoundingPolicy::TO_ZERO)); + ARM_COMPUTE_RETURN_ON_ERROR(NEPixelWiseMultiplication::validate(input, input, output, 1.0f, ConvertPolicy::SATURATE, + RoundingPolicy::TO_ZERO)); return Status{}; } @@ -77,4 +82,4 @@ void NENormalizationLayer::run() _multiply_f.run(); NEScheduler::get().schedule(_norm_kernel.get(), Window::DimY); } -}
\ No newline at end of file +} // namespace arm_compute |