| /* | |
| * 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 "arm_compute/AclUtils.h" | |
| #include "src/common/ITensorV2.h" | |
| #include "src/common/utils/Macros.h" | |
| namespace | |
| { | |
| using namespace arm_compute; | |
| /**< Maximum allowed dimensions by Compute Library */ | |
| constexpr int32_t max_allowed_dims = 6; | |
| /** Check if a descriptor is valid | |
| * | |
| * @param desc Descriptor to validate | |
| * | |
| * @return true in case of success else false | |
| */ | |
| bool is_desc_valid(const AclTensorDescriptor &desc) | |
| { | |
| if(desc.data_type > AclFloat32 || desc.data_type <= AclDataTypeUnknown) | |
| { | |
| ARM_COMPUTE_LOG_ERROR_ACL("[AclCreateTensor]: Unknown data type!"); | |
| return false; | |
| } | |
| if(desc.ndims > max_allowed_dims) | |
| { | |
| ARM_COMPUTE_LOG_ERROR_ACL("[AclCreateTensor]: Dimensions surpass the maximum allowed value!"); | |
| return false; | |
| } | |
| if(desc.ndims > 0 && desc.shape == nullptr) | |
| { | |
| ARM_COMPUTE_LOG_ERROR_ACL("[AclCreateTensor]: Dimensions values are empty while dimensionality is > 0!"); | |
| return false; | |
| } | |
| return true; | |
| } | |
| StatusCode convert_and_validate_tensor(AclTensor tensor, ITensorV2 **internal_tensor) | |
| { | |
| *internal_tensor = get_internal(tensor); | |
| return detail::validate_internal_tensor(*internal_tensor); | |
| } | |
| } // namespace | |
| extern "C" AclStatus AclCreateTensor(AclTensor *external_tensor, | |
| AclContext external_ctx, | |
| const AclTensorDescriptor *desc, | |
| bool allocate) | |
| { | |
| using namespace arm_compute; | |
| IContext *ctx = get_internal(external_ctx); | |
| StatusCode status = detail::validate_internal_context(ctx); | |
| ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); | |
| if(desc == nullptr || !is_desc_valid(*desc)) | |
| { | |
| ARM_COMPUTE_LOG_ERROR_ACL("[AclCreateTensor]: Descriptor is invalid!"); | |
| return AclInvalidArgument; | |
| } | |
| auto tensor = ctx->create_tensor(*desc, allocate); | |
| if(tensor == nullptr) | |
| { | |
| ARM_COMPUTE_LOG_ERROR_ACL("[AclCreateTensor]: Couldn't allocate internal resources for tensor creation!"); | |
| return AclOutOfMemory; | |
| } | |
| *external_tensor = tensor; | |
| return AclSuccess; | |
| } | |
| extern "C" AclStatus AclMapTensor(AclTensor external_tensor, void **handle) | |
| { | |
| using namespace arm_compute; | |
| auto tensor = get_internal(external_tensor); | |
| StatusCode status = detail::validate_internal_tensor(tensor); | |
| ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); | |
| if(handle == nullptr) | |
| { | |
| ARM_COMPUTE_LOG_ERROR_ACL("[AclMapTensor]: Handle object is nullptr!"); | |
| return AclInvalidArgument; | |
| } | |
| *handle = tensor->map(); | |
| return AclSuccess; | |
| } | |
| extern "C" AclStatus AclUnmapTensor(AclTensor external_tensor, void *handle) | |
| { | |
| ARM_COMPUTE_UNUSED(handle); | |
| using namespace arm_compute; | |
| auto tensor = get_internal(external_tensor); | |
| StatusCode status = detail::validate_internal_tensor(tensor); | |
| ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); | |
| status = tensor->unmap(); | |
| return AclSuccess; | |
| } | |
| extern "C" AclStatus AclTensorImport(AclTensor external_tensor, void *handle, AclImportMemoryType type) | |
| { | |
| using namespace arm_compute; | |
| auto tensor = get_internal(external_tensor); | |
| StatusCode status = detail::validate_internal_tensor(tensor); | |
| ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); | |
| status = tensor->import(handle, utils::as_enum<ImportMemoryType>(type)); | |
| ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); | |
| return AclSuccess; | |
| } | |
| extern "C" AclStatus AclDestroyTensor(AclTensor external_tensor) | |
| { | |
| using namespace arm_compute; | |
| auto tensor = get_internal(external_tensor); | |
| StatusCode status = detail::validate_internal_tensor(tensor); | |
| ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); | |
| delete tensor; | |
| return AclSuccess; | |
| } | |
| extern "C" AclStatus AclGetTensorSize(AclTensor tensor, uint64_t *size) | |
| { | |
| using namespace arm_compute; | |
| if(size == nullptr) | |
| { | |
| return AclStatus::AclInvalidArgument; | |
| } | |
| ITensorV2 *internal_tensor{ nullptr }; | |
| auto status = convert_and_validate_tensor(tensor, &internal_tensor); | |
| ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); | |
| *size = internal_tensor->get_size(); | |
| return utils::as_cenum<AclStatus>(status); | |
| } | |
| extern "C" AclStatus AclGetTensorDescriptor(AclTensor tensor, AclTensorDescriptor *desc) | |
| { | |
| using namespace arm_compute; | |
| if(desc == nullptr) | |
| { | |
| return AclStatus::AclInvalidArgument; | |
| } | |
| ITensorV2 *internal_tensor{ nullptr }; | |
| const auto status = convert_and_validate_tensor(tensor, &internal_tensor); | |
| ARM_COMPUTE_RETURN_CENUM_ON_FAILURE(status); | |
| *desc = internal_tensor->get_descriptor(); | |
| return utils::as_cenum<AclStatus>(status); | |
| } |