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/*
* 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 "arm_compute/AclEntrypoints.h"
#include "src/common/ITensorV2.h"
#include "src/common/TensorPack.h"
#include "src/common/utils/Macros.h"
namespace
{
using namespace arm_compute;
StatusCode PackTensorInternal(TensorPack &pack, AclTensor external_tensor, int32_t slot_id)
{
auto status = StatusCode::Success;
auto tensor = get_internal(external_tensor);
status = detail::validate_internal_tensor(tensor);
if(status != StatusCode::Success)
{
return status;
}
pack.add_tensor(tensor, slot_id);
return status;
}
} // namespace
extern "C" AclStatus AclCreateTensorPack(AclTensorPack *external_pack, AclContext external_ctx)
{
using namespace arm_compute;
IContext *ctx = get_internal(external_ctx);
const StatusCode status = detail::validate_internal_context(ctx);
ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status);
auto pack = new TensorPack(ctx);
if(pack == nullptr)
{
ARM_COMPUTE_LOG_ERROR_WITH_FUNCNAME_ACL("Couldn't allocate internal resources!");
return AclOutOfMemory;
}
*external_pack = pack;
return AclSuccess;
}
extern "C" AclStatus AclPackTensor(AclTensorPack external_pack, AclTensor external_tensor, int32_t slot_id)
{
using namespace arm_compute;
auto pack = get_internal(external_pack);
ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(detail::validate_internal_pack(pack));
ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(PackTensorInternal(*pack, external_tensor, slot_id));
return AclStatus::AclSuccess;
}
extern "C" AclStatus AclPackTensors(AclTensorPack external_pack, AclTensor *external_tensors, int32_t *slot_ids, size_t num_tensors)
{
using namespace arm_compute;
auto pack = get_internal(external_pack);
ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(detail::validate_internal_pack(pack));
for(unsigned i = 0; i < num_tensors; ++i)
{
ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(PackTensorInternal(*pack, external_tensors[i], slot_ids[i]));
}
return AclStatus::AclSuccess;
}
extern "C" AclStatus AclDestroyTensorPack(AclTensorPack external_pack)
{
using namespace arm_compute;
auto pack = get_internal(external_pack);
StatusCode status = detail::validate_internal_pack(pack);
ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status);
delete pack;
return AclSuccess;
}
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