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/*
* Copyright (c) 2022 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.
*/
#ifdef ENABLE_EXPERIMENTAL_DYNAMIC_FUSION
#include "arm_compute/core/experimental/ClWorkload.h"
#include "src/core/experimental/dynamic_fusion/WorkloadImpl/ClFusedKernelGraph.h"
#include "src/core/experimental/dynamic_fusion/WorkloadImpl/ClKernelGraph.h"
#include "src/core/experimental/dynamic_fusion/WorkloadImpl/OperatorGraphImpl.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
Status build(ClWorkload &workload, const OperatorGraph &op_graph, const ClWorkloadContext &ctx)
{
workload.context = ctx;
ClKernelGraph kernel_graph;
workload.status = validate(op_graph);
ARM_COMPUTE_RETURN_ON_ERROR(workload.status);
workload.status = translate(kernel_graph, *op_graph.impl());
ARM_COMPUTE_RETURN_ON_ERROR(workload.status);
ClFusedKernelGraph fused_k_graph;
std::tie(workload.status, fused_k_graph) = init_fusion_graph(kernel_graph);
ARM_COMPUTE_RETURN_ON_ERROR(workload.status);
workload.status = fuse(fused_k_graph);
ARM_COMPUTE_RETURN_ON_ERROR(workload.status);
workload.status = generate(workload, ctx, fused_k_graph);
ARM_COMPUTE_RETURN_ON_ERROR(workload.status);
// Get operator tensor id to workload tensor id map
const auto op_tensor_to_kernel_tensor = fused_k_graph.original_graph->graph.get_merge_points();
const auto kernel_tensor_to_workload_tensor = workload.graph.get_merge_points();
for(const auto op_t : op_graph.impl()->graph.src_tensors())
{
const auto kernel_t = op_tensor_to_kernel_tensor.at(op_t);
const auto workload_t = kernel_tensor_to_workload_tensor.at(kernel_t);
workload.op_tensor_id_lut[workload_t] = op_t;
}
for(const auto op_t : op_graph.impl()->graph.dst_tensors())
{
const auto kernel_t = op_tensor_to_kernel_tensor.at(op_t);
const auto workload_t = kernel_tensor_to_workload_tensor.at(kernel_t);
workload.op_tensor_id_lut[workload_t] = op_t;
}
return workload.status;
}
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
#endif /* ENABLE_EXPERIMENTAL_DYNAMIC_FUSION */
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