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-rw-r--r--src/runtime/gpu/cl/operators/ClConcatenate.cpp254
1 files changed, 0 insertions, 254 deletions
diff --git a/src/runtime/gpu/cl/operators/ClConcatenate.cpp b/src/runtime/gpu/cl/operators/ClConcatenate.cpp
deleted file mode 100644
index 4385fcfaed..0000000000
--- a/src/runtime/gpu/cl/operators/ClConcatenate.cpp
+++ /dev/null
@@ -1,254 +0,0 @@
-/*
- * Copyright (c) 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 "src/runtime/gpu/cl/operators/ClConcatenate.h"
-
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "arm_compute/runtime/CL/CLScheduler.h"
-
-#include "src/core/gpu/cl/kernels/ClBatchConcatenateKernel.h"
-#include "src/core/gpu/cl/kernels/ClDepthConcatenateKernel.h"
-#include "src/core/gpu/cl/kernels/ClHeightConcatenateKernel.h"
-#include "src/core/gpu/cl/kernels/ClWidthConcatenate2TensorsKernel.h"
-#include "src/core/gpu/cl/kernels/ClWidthConcatenate4TensorsKernel.h"
-#include "src/core/gpu/cl/kernels/ClWidthConcatenateKernel.h"
-
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Types.h"
-#include "src/core/helpers/AutoConfiguration.h"
-
-namespace arm_compute
-{
-namespace opencl
-{
-ClConcatenate::ClConcatenate()
- : _concat_kernels(),
- _num_inputs(0),
- _axis(Window::DimX)
-{
-}
-
-void ClConcatenate::configure(const CLCompileContext &compile_context, const std::vector<ITensorInfo *> &src_vector, ITensorInfo *dst, size_t axis)
-{
- ARM_COMPUTE_ERROR_ON(dst == nullptr);
- _axis = axis;
- _num_inputs = src_vector.size();
-
- TensorShape dst_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(src_vector, _axis);
- std::vector<const ITensorInfo *> const_src_vector(src_vector.size());
- std::transform(src_vector.begin(), src_vector.end(), const_src_vector.begin(), [](ITensorInfo * t)
- {
- ARM_COMPUTE_ERROR_ON_NULLPTR(t);
- return t;
- });
-
- // dst auto inizialitation if not yet initialized
- auto_init_if_empty(*dst, dst_shape, 1, src_vector[0]->data_type());
- ARM_COMPUTE_ERROR_THROW_ON(ClConcatenate::validate(const_src_vector, dst, axis));
-
- unsigned int offset = 0;
- switch(_axis)
- {
- case Window::DimX:
- {
- switch(_num_inputs)
- {
- case 2:
- {
- // Configure WidthConcatenate2Tensors kernel
- auto kernel = std::make_unique<kernels::ClWidthConcatenate2TensorsKernel>();
- kernel->configure(compile_context, src_vector.at(0), src_vector.at(1), dst);
- _concat_kernels.emplace_back(std::move(kernel));
- break;
- }
- case 4:
- {
- // Configure WidthConcatenate4Tensors kernel
- auto kernel = std::make_unique<kernels::ClWidthConcatenate4TensorsKernel>();
- kernel->configure(compile_context, src_vector.at(0), src_vector.at(1), src_vector.at(2), src_vector.at(3), dst);
- _concat_kernels.emplace_back(std::move(kernel));
- break;
- }
- default:
- {
- // Configure generic case WidthConcatenate kernels
- for(unsigned int i = 0; i < _num_inputs; ++i)
- {
- auto kernel = std::make_unique<kernels::ClWidthConcatenateKernel>();
- kernel->configure(compile_context, src_vector.at(i), offset, dst);
- offset += src_vector.at(i)->dimension(_axis);
- _concat_kernels.emplace_back(std::move(kernel));
- }
- break;
- }
- }
- break;
- }
- case Window::DimY:
- {
- for(unsigned int i = 0; i < _num_inputs; ++i)
- {
- auto kernel = std::make_unique<kernels::ClHeightConcatenateKernel>();
- kernel->configure(compile_context, src_vector.at(i), offset, dst);
- offset += src_vector.at(i)->dimension(_axis);
- _concat_kernels.emplace_back(std::move(kernel));
- }
- break;
- }
- case Window::DimZ:
- {
- for(unsigned int i = 0; i < _num_inputs; ++i)
- {
- auto kernel = std::make_unique<kernels::ClDepthConcatenateKernel>();
- kernel->configure(compile_context, src_vector.at(i), offset, dst);
- offset += src_vector.at(i)->dimension(_axis);
- _concat_kernels.emplace_back(std::move(kernel));
- }
- break;
- }
- case 3:
- {
- for(unsigned int i = 0; i < _num_inputs; ++i)
- {
- auto kernel = std::make_unique<kernels::ClBatchConcatenateKernel>();
- kernel->configure(compile_context, src_vector.at(i), offset, dst);
- offset += src_vector.at(i)->dimension(_axis);
- _concat_kernels.emplace_back(std::move(kernel));
- }
- break;
- }
- default:
- ARM_COMPUTE_ERROR("Axis not supported");
- }
-}
-
-Status ClConcatenate::validate(const std::vector<const ITensorInfo *> &src_vector, const ITensorInfo *dst, size_t axis)
-{
- ARM_COMPUTE_RETURN_ERROR_ON(dst == nullptr);
- const unsigned int num_inputs = src_vector.size();
-
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(dst);
- ARM_COMPUTE_RETURN_ERROR_ON(num_inputs < 2);
-
- unsigned int offset = 0;
- switch(axis)
- {
- case Window::DimX:
- {
- switch(num_inputs)
- {
- case 2:
- // Validate WidthConcatenate2Tensors kernels if there are 2 inputs
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src_vector[0], src_vector[1]);
- ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClWidthConcatenate2TensorsKernel::validate(src_vector[0], src_vector[1], dst));
- break;
- case 4:
- // Validate WidthConcatenate4Tensors kernels if there are 4 inputs
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src_vector[0], src_vector[1], src_vector[2], src_vector[3]);
- ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClWidthConcatenate4TensorsKernel::validate(src_vector[0], src_vector[1], src_vector[2], src_vector[3], dst));
- break;
- default:
- // Validate generic case of WidthConcatenate kernel
- for(const auto &src : src_vector)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src);
- ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClWidthConcatenateKernel::validate(src, offset, dst));
- offset += src->dimension(axis);
- }
- break;
- }
- break;
- }
- case Window::DimY:
- {
- for(const auto &src : src_vector)
- {
- ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClHeightConcatenateKernel::validate(src, offset, dst));
- offset += src->dimension(axis);
- }
- break;
- }
- case Window::DimZ:
- {
- for(const auto &src : src_vector)
- {
- ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClDepthConcatenateKernel::validate(src, offset, dst));
- offset += src->dimension(axis);
- }
- break;
- }
- case 3:
- {
- for(const auto &src : src_vector)
- {
- ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClBatchConcatenateKernel::validate(src, offset, dst));
- offset += src->dimension(axis);
- }
- break;
- }
- default:
- ARM_COMPUTE_ERROR("Axis not supported");
- }
-
- if(dst->total_size() != 0)
- {
- TensorShape dst_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(src_vector, axis);
- ARM_COMPUTE_RETURN_ERROR_ON(dst_shape.total_size() != dst->tensor_shape().total_size());
- }
-
- return Status{};
-}
-
-void ClConcatenate::run(ITensorPack &tensors)
-{
- if(tensors.empty())
- {
- ARM_COMPUTE_ERROR("No inputs provided");
- }
-
- if(static_cast<int>(tensors.size()) - 1 != static_cast<int>(_num_inputs))
- {
- ARM_COMPUTE_ERROR("Configured with different number of inputs");
- }
-
- if(_axis == Window::DimX && (_num_inputs == 2 || _num_inputs == 4))
- {
- ARM_COMPUTE_ERROR_ON(_concat_kernels.empty());
- CLScheduler::get().enqueue_op(*_concat_kernels.at(0), tensors, true);
- }
- else
- {
- int i = 0;
- for(auto &k : _concat_kernels)
- {
- ITensorPack pack;
- pack.add_tensor(TensorType::ACL_SRC, tensors.get_const_tensor(ACL_SRC_VEC + i));
- pack.add_tensor(TensorType::ACL_DST, tensors.get_tensor(ACL_DST));
- CLScheduler::get().enqueue_op(*k, pack, true);
- ++i;
- }
- }
-}
-} // namespace opencl
-} // namespace arm_compute
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