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Diffstat (limited to 'src/c/AclTensor.cpp')
| -rw-r--r-- | src/c/AclTensor.cpp | 190 |
1 files changed, 190 insertions, 0 deletions
diff --git a/src/c/AclTensor.cpp b/src/c/AclTensor.cpp new file mode 100644 index 0000000000..c4cd08ac70 --- /dev/null +++ b/src/c/AclTensor.cpp @@ -0,0 +1,190 @@ +/* + * Copyright (c) 2021,2023 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 "arm_compute/core/Error.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); +} |