| /* |
| * 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; |
| } |