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Diffstat (limited to 'compiler/nnkit-onnxrt/support/include/nnkit/support/onnx/TensorSet.h')
-rw-r--r-- | compiler/nnkit-onnxrt/support/include/nnkit/support/onnx/TensorSet.h | 97 |
1 files changed, 97 insertions, 0 deletions
diff --git a/compiler/nnkit-onnxrt/support/include/nnkit/support/onnx/TensorSet.h b/compiler/nnkit-onnxrt/support/include/nnkit/support/onnx/TensorSet.h new file mode 100644 index 000000000..b38fc9bb0 --- /dev/null +++ b/compiler/nnkit-onnxrt/support/include/nnkit/support/onnx/TensorSet.h @@ -0,0 +1,97 @@ +/* + * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#ifndef __NNKIT_SUPPORT_ONNX_TENSOR_SET_H__ +#define __NNKIT_SUPPORT_ONNX_TENSOR_SET_H__ + +#include "nnkit/support/onnx/Allocator.h" +#include "nnkit/support/onnx/Status.h" + +#include <onnxruntime_c_api.h> + +#include <string> +#include <vector> +#include <cassert> + +namespace nnkit +{ +namespace support +{ +namespace onnx +{ + +class TensorSet final +{ +public: + TensorSet(Allocator *allocator, size_t nums) + : _allocator(allocator), _names(nums), _types(nums), _dims(nums), _tensors(nums, nullptr) + { + // DO NOTHING + } + + ~TensorSet(void) + { + for (auto it : _tensors) + { + OrtReleaseValue(it); + } + } + + void set(size_t index, const std::string &name, ONNXTensorElementDataType type, + const std::vector<size_t> &dims) + { + _names[index] = name; + _types[index] = type; + _dims[index] = dims; + + Status status; + + status = + OrtCreateTensorAsOrtValue(_allocator, dims.data(), dims.size(), type, &_tensors[index]); + status.throwOnError(); + + assert(OrtIsTensor(_tensors[index])); + } + + size_t size(void) { return _names.size(); } + + const char *name(size_t index) { return _names[index].c_str(); } + const std::vector<std::string> &names(void) { return _names; } + + ONNXTensorElementDataType type(size_t index) { return _types[index]; } + + const std::vector<size_t> &dim(size_t index) { return _dims[index]; } + + const OrtValue *tensor(size_t index) { return _tensors[index]; } + const std::vector<OrtValue *> &tensors(void) { return _tensors; } + + OrtValue *mutable_tensor(size_t index) { return _tensors[index]; } + std::vector<OrtValue *> mutable_tensors(void) { return _tensors; } + +private: + Allocator *_allocator; + + std::vector<std::string> _names; + std::vector<ONNXTensorElementDataType> _types; + std::vector<std::vector<size_t>> _dims; + std::vector<OrtValue *> _tensors; +}; + +} // namespace onnx +} // namespace support +} // namespace nnkit + +#endif // __NNKIT_SUPPORT_ONNX_TENSOR_SET_H__ |