| /* |
| * Copyright (c) 2017-2021 Arm Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "arm_compute/runtime/NEON/functions/NEL2NormalizeLayer.h" |
| |
| #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" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| constexpr int max_input_tensor_dim = 3; |
| } // namespace |
| NEL2NormalizeLayer::~NEL2NormalizeLayer() = default; |
| |
| NEL2NormalizeLayer::NEL2NormalizeLayer(std::shared_ptr<IMemoryManager> memory_manager) |
| : _memory_group(std::move(memory_manager)), _reduce_func(), _normalize_kernel(), _sumsq() |
| { |
| } |
| |
| 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 = std::make_unique<NEL2NormalizeLayerKernel>(); |
| _normalize_kernel->configure(input, &_sumsq, output, axis, epsilon); |
| |
| // Allocate intermediate tensors |
| _sumsq.allocator()->allocate(); |
| } |
| |
| Status NEL2NormalizeLayer::validate(const ITensorInfo *input, const ITensorInfo *output, int axis, float epsilon) |
| { |
| TensorShape shape(input->tensor_shape()); |
| |
| // Create intermediate tensor info |
| TensorInfo sum_sq; |
| sum_sq.set_data_type(input->data_type()); |
| 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)); |
| |
| // Reduce shape on axis |
| shape.set(actual_axis, 1); |
| sum_sq.set_tensor_shape(shape); |
| |
| ARM_COMPUTE_RETURN_ON_ERROR(NEL2NormalizeLayerKernel::validate(input, &sum_sq, output, axis, epsilon)); |
| |
| return Status{}; |
| } |
| |
| void NEL2NormalizeLayer::run() |
| { |
| MemoryGroupResourceScope scope_mg(_memory_group); |
| |
| _reduce_func.run(); |
| NEScheduler::get().schedule(_normalize_kernel.get(), Window::DimY); |
| } |
| } // namespace arm_compute |