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-rw-r--r--compute/ARMComputeEx/src/runtime/CL/functions/CLRNNLayerEx.cpp163
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diff --git a/compute/ARMComputeEx/src/runtime/CL/functions/CLRNNLayerEx.cpp b/compute/ARMComputeEx/src/runtime/CL/functions/CLRNNLayerEx.cpp
deleted file mode 100644
index 6049b7e70..000000000
--- a/compute/ARMComputeEx/src/runtime/CL/functions/CLRNNLayerEx.cpp
+++ /dev/null
@@ -1,163 +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 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/CL/functions/CLRNNLayerEx.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/core/Utils.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "arm_compute/runtime/CL/CLScheduler.h"
-#include "support/ToolchainSupport.h"
-
-#include <utility>
-
-using namespace arm_compute;
-using namespace arm_compute::misc::shape_calculator;
-
-CLRNNLayerEx::CLRNNLayerEx(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 CLRNNLayerEx::validate(const ITensorInfo *input, const ITensorInfo *weights,
- const ITensorInfo *recurrent_weights, const ITensorInfo *bias,
- const ITensorInfo *hidden_state, const ITensorInfo *output,
- const ActivationLayerInfo &info)
-{
- const int idx_width = 0;
- const int idx_height = 1;
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, recurrent_weights, bias, hidden_state,
- output);
- 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(1));
- 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(compute_rnn_shape(recurrent_weights, hidden_state->dimension(idx_height)), 1,
- input->data_type());
-
- ARM_COMPUTE_RETURN_ON_ERROR(CLFullyConnectedLayer::validate(input, weights, bias, &shape_info));
- ARM_COMPUTE_RETURN_ON_ERROR(
- CLGEMM::validate(hidden_state, recurrent_weights, nullptr, &shape_info, 1.f, 0.f));
- ARM_COMPUTE_RETURN_ON_ERROR(CLSaturatedArithmeticOperationKernel::validate(
- ArithmeticOperation::ADD, &shape_info, &shape_info, &shape_info, ConvertPolicy::SATURATE));
- ARM_COMPUTE_RETURN_ON_ERROR(CLActivationLayerKernel::validate(&shape_info, &shape_info, info));
-
- return Status{};
-}
-
-void CLRNNLayerEx::configure(const ICLTensor *input, const ICLTensor *weights,
- const ICLTensor *recurrent_weights, const ICLTensor *bias,
- ICLTensor *hidden_state, ICLTensor *output, ActivationLayerInfo &info)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, recurrent_weights, bias, hidden_state, output);
- ARM_COMPUTE_ERROR_THROW_ON(CLRNNLayerEx::validate(input->info(), weights->info(),
- recurrent_weights->info(), bias->info(),
- hidden_state->info(), output->info(), info));
-
- const int idx_height = 1;
- TensorShape shape =
- compute_rnn_shape(recurrent_weights->info(), hidden_state->info()->dimension(idx_height));
-
- _is_prepared = false;
-
- _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(ArithmeticOperation::ADD, &_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 CLRNNLayerEx::run()
-{
- prepare();
-
- _memory_group.acquire();
-
- _fully_connected_kernel.run();
- _gemm_state_f.run();
- CLScheduler::get().enqueue(_add_kernel);
- CLScheduler::get().enqueue(_activation_kernel);
-
- // copy hidden out to output
- CLScheduler::get().enqueue(_copy_kernel);
-
- _memory_group.release();
-}
-
-void CLRNNLayerEx::prepare()
-{
- if (!_is_prepared)
- {
- _fully_connected_kernel.prepare();
- _gemm_state_f.prepare();
-
- _is_prepared = true;
- }
-}
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