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- // Tencent is pleased to support the open source community by making ncnn available.
- //
- // Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
- //
- // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
- // in compliance with the License. You may obtain a copy of the License at
- //
- // https://opensource.org/licenses/BSD-3-Clause
- //
- // 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 PNNX_PASS_LEVEL0_H
- #define PNNX_PASS_LEVEL0_H
-
- #include <torch/script.h>
- #include "ir.h"
-
- namespace pnnx {
-
- void pass_level0(const torch::jit::Module& mod, std::shared_ptr<torch::jit::Graph>& g, const std::vector<at::Tensor>& input_tensors, const std::vector<at::Tensor>& input_tensors2, const std::vector<std::string>& module_operators, const std::string& ptpath, const std::string& device, std::set<std::string>& foldable_constants, const std::string& foldable_constants_zippath);
-
- } // namespace pnnx
-
- #endif // PNNX_PASS_LEVEL0_H
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