diff options
Diffstat (limited to 'src/runtime/NEON/functions/NEL2NormalizeLayer.cpp')
-rw-r--r-- | src/runtime/NEON/functions/NEL2NormalizeLayer.cpp | 12 |
1 files changed, 8 insertions, 4 deletions
diff --git a/src/runtime/NEON/functions/NEL2NormalizeLayer.cpp b/src/runtime/NEON/functions/NEL2NormalizeLayer.cpp index 4a99968cc3..b7f6203efd 100644 --- a/src/runtime/NEON/functions/NEL2NormalizeLayer.cpp +++ b/src/runtime/NEON/functions/NEL2NormalizeLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2020 Arm Limited. + * Copyright (c) 2017-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -25,9 +25,10 @@ #include "arm_compute/core/Helpers.h" #include "arm_compute/runtime/NEON/NEScheduler.h" + +#include "src/common/utils/Log.h" #include "src/core/NEON/kernels/NEL2NormalizeLayerKernel.h" #include "src/core/NEON/kernels/NEReductionOperationKernel.h" -#include "support/MemorySupport.h" namespace arm_compute { @@ -44,13 +45,15 @@ NEL2NormalizeLayer::NEL2NormalizeLayer(std::shared_ptr<IMemoryManager> memory_ma void NEL2NormalizeLayer::configure(ITensor *input, ITensor *output, int axis, float epsilon) { + ARM_COMPUTE_LOG_PARAMS(input, output, axis, epsilon); + // Manage intermediate buffers _memory_group.manage(&_sumsq); // Configure Kernels const uint32_t actual_axis = wrap_around(axis, max_input_tensor_dim); _reduce_func.configure(input, &_sumsq, actual_axis, ReductionOperation::SUM_SQUARE); - _normalize_kernel = arm_compute::support::cpp14::make_unique<NEL2NormalizeLayerKernel>(); + _normalize_kernel = std::make_unique<NEL2NormalizeLayerKernel>(); _normalize_kernel->configure(input, &_sumsq, output, axis, epsilon); // Allocate intermediate tensors @@ -67,7 +70,8 @@ Status NEL2NormalizeLayer::validate(const ITensorInfo *input, const ITensorInfo sum_sq.set_tensor_shape(shape); const uint32_t actual_axis = wrap_around(axis, max_input_tensor_dim); - ARM_COMPUTE_RETURN_ON_ERROR(NEReductionOperation::validate(input, &sum_sq, actual_axis, ReductionOperation::SUM_SQUARE)); + ARM_COMPUTE_RETURN_ON_ERROR( + NEReductionOperation::validate(input, &sum_sq, actual_axis, ReductionOperation::SUM_SQUARE)); // Reduce shape on axis shape.set(actual_axis, 1); |