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Diffstat (limited to 'compute/ARMComputeEx/src/runtime/NEON/functions/NERNNLayerEx.cpp')
| -rw-r--r-- | compute/ARMComputeEx/src/runtime/NEON/functions/NERNNLayerEx.cpp | 161 |
1 files changed, 0 insertions, 161 deletions
diff --git a/compute/ARMComputeEx/src/runtime/NEON/functions/NERNNLayerEx.cpp b/compute/ARMComputeEx/src/runtime/NEON/functions/NERNNLayerEx.cpp deleted file mode 100644 index 0e9a5e969..000000000 --- a/compute/ARMComputeEx/src/runtime/NEON/functions/NERNNLayerEx.cpp +++ /dev/null @@ -1,161 +0,0 @@ -/* - * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -/* - * Copyright (c) 2018-2019 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/NERNNLayerEx.h" - -#include "arm_compute/core/Error.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "arm_compute/runtime/NEON/NEScheduler.h" - -namespace arm_compute -{ -NERNNLayerEx::NERNNLayerEx(std::shared_ptr<IMemoryManager> memory_manager) - : _memory_group(std::move(memory_manager)), _gemm_state_f(), _add_kernel(), - _activation_kernel(), _fully_connected_kernel(), _copy_kernel(), _fully_connected_out(), - _gemm_output(), _add_output(), _is_prepared(false) -{ -} - -Status NERNNLayerEx::validate(const ITensorInfo *input, const ITensorInfo *weights, - const ITensorInfo *recurrent_weights, const ITensorInfo *bias, - const ITensorInfo *hidden_state, const ITensorInfo *output, - const ActivationLayerInfo &info) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, recurrent_weights, bias, hidden_state, - output); - - const int idx_width = 0; - const int idx_height = 1; - ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(idx_width) != weights->dimension(idx_width)); - ARM_COMPUTE_RETURN_ERROR_ON(weights->dimension(idx_height) != - recurrent_weights->dimension(idx_width)); - ARM_COMPUTE_RETURN_ERROR_ON(recurrent_weights->dimension(idx_width) != - recurrent_weights->dimension(idx_height)); - ARM_COMPUTE_RETURN_ERROR_ON(bias->num_dimensions() != 1); - ARM_COMPUTE_RETURN_ERROR_ON(bias->dimension(idx_width) != weights->dimension(idx_height)); - ARM_COMPUTE_RETURN_ERROR_ON(hidden_state->dimension(idx_width) != weights->dimension(idx_height)); - ARM_COMPUTE_RETURN_ERROR_ON(hidden_state->dimension(idx_height) != input->dimension(idx_height)); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), - hidden_state->tensor_shape()); - - auto shape_info = TensorInfo(misc::shape_calculator::compute_rnn_shape( - recurrent_weights, hidden_state->dimension(idx_height)), - 1, input->data_type()); - - ARM_COMPUTE_RETURN_ON_ERROR(NEFullyConnectedLayer::validate(input, weights, bias, &shape_info)); - ARM_COMPUTE_RETURN_ON_ERROR(NEArithmeticAdditionKernel::validate( - &shape_info, &shape_info, &shape_info, ConvertPolicy::SATURATE)); - ARM_COMPUTE_RETURN_ON_ERROR(NEActivationLayerKernel::validate(&shape_info, &shape_info, info)); - - return Status{}; -} - -void NERNNLayerEx::configure(const ITensor *input, const ITensor *weights, - const ITensor *recurrent_weights, const ITensor *bias, - ITensor *hidden_state, ITensor *output, ActivationLayerInfo &info) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, recurrent_weights, bias, hidden_state, output); - ARM_COMPUTE_ERROR_THROW_ON(NERNNLayerEx::validate(input->info(), weights->info(), - recurrent_weights->info(), bias->info(), - hidden_state->info(), output->info(), info)); - - const int idx_height = 1; - TensorShape shape = misc::shape_calculator::compute_rnn_shape( - recurrent_weights->info(), hidden_state->info()->dimension(idx_height)); - - _is_prepared = false; - - // Manage intermediate buffers and configure - _fully_connected_out.allocator()->init(TensorInfo(shape, 1, input->info()->data_type())); - _gemm_output.allocator()->init(TensorInfo(shape, 1, input->info()->data_type())); - - // Manage intermediate buffers and configure - _memory_group.manage(&_fully_connected_out); - _fully_connected_kernel.configure(input, weights, bias, &_fully_connected_out); - - _memory_group.manage(&_gemm_output); - _gemm_state_f.configure(hidden_state, recurrent_weights, nullptr, &_gemm_output, 1.f, 0.f); - - _add_output.allocator()->init(TensorInfo(shape, 1, input->info()->data_type())); - _memory_group.manage(&_add_output); - - _add_kernel.configure(&_fully_connected_out, &_gemm_output, &_add_output, - ConvertPolicy::SATURATE); - - _fully_connected_out.allocator()->allocate(); - _gemm_output.allocator()->allocate(); - - _activation_kernel.configure(&_add_output, hidden_state, info); - _add_output.allocator()->allocate(); - - _copy_kernel.configure(hidden_state, output); -} - -void NERNNLayerEx::run() -{ - prepare(); - - MemoryGroupResourceScope scope_mg(_memory_group); - - _fully_connected_kernel.run(); - - _gemm_state_f.run(); - - NEScheduler::get().schedule(&_add_kernel, Window::DimY); - NEScheduler::get().schedule(&_activation_kernel, Window::DimY); - - // copy hidden out to output - NEScheduler::get().schedule(&_copy_kernel, Window::DimY); -} - -void NERNNLayerEx::prepare() -{ - if (!_is_prepared) - { - _fully_connected_kernel.prepare(); - _gemm_state_f.prepare(); - - _is_prepared = true; - } -} -} // namespace arm_compute |