/* * Copyright (c) 2017-2019 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" namespace arm_compute { NEL2NormalizeLayer::NEL2NormalizeLayer(std::shared_ptr memory_manager) : _memory_group(std::move(memory_manager)), _reduce_func(), _normalize_kernel(), _sumsq() { } void NEL2NormalizeLayer::configure(ITensor *input, ITensor *output, unsigned int axis, float epsilon) { // Manage intermediate buffers _memory_group.manage(&_sumsq); // Configure Kernels _reduce_func.configure(input, &_sumsq, axis, ReductionOperation::SUM_SQUARE); _normalize_kernel.configure(input, &_sumsq, output, axis, epsilon); // Allocate intermediate tensors _sumsq.allocator()->allocate(); } Status NEL2NormalizeLayer::validate(const ITensorInfo *input, const ITensorInfo *output, unsigned 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); ARM_COMPUTE_RETURN_ON_ERROR(NEReductionOperation::validate(input, &sum_sq, axis, ReductionOperation::SUM_SQUARE)); // Reduce shape on axis shape.set(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, Window::DimY); } } // namespace arm_compute