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643730bf5f
* update for tvm backend * update third_party * update third_party * update * update * update * update * update * update * update * update --------- Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
62 lines
2.2 KiB
C++
62 lines
2.2 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "fastdeploy/core/fd_tensor.h"
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#include "fastdeploy/runtime/backends/backend.h"
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#include <cstring>
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#include <iostream>
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#include <memory>
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#include <string>
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#include <vector>
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#include <dlpack/dlpack.h>
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#include <tvm/runtime/module.h>
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#include <tvm/runtime/packed_func.h>
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#include <tvm/runtime/registry.h>
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#include <unistd.h>
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namespace fastdeploy {
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class TVMBackend : public BaseBackend {
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public:
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TVMBackend() = default;
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virtual ~TVMBackend() = default;
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bool Init(const RuntimeOption& runtime_option) override;
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int NumInputs() const override { return inputs_desc_.size(); }
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int NumOutputs() const override { return outputs_desc_.size(); }
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TensorInfo GetInputInfo(int index) override { return inputs_desc_[index]; }
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TensorInfo GetOutputInfo(int index) override { return outputs_desc_[index]; }
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std::vector<TensorInfo> GetInputInfos() override { return inputs_desc_; }
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std::vector<TensorInfo> GetOutputInfos() override { return outputs_desc_; }
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bool Infer(std::vector<FDTensor>& inputs, std::vector<FDTensor>* outputs,
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bool copy_to_fd = true) override;
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private:
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DLDevice dev_{};
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tvm::runtime::Module gmod_;
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std::vector<TensorInfo> inputs_desc_;
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std::vector<TensorInfo> outputs_desc_;
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bool BuildDLDevice(Device device);
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bool BuildModel(const RuntimeOption& runtime_option);
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bool InitInputAndOutputTensor();
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std::vector<tvm::runtime::NDArray> input_tensor_;
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std::vector<tvm::runtime::NDArray> output_tensor_;
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FDDataType TVMTensorTypeToFDDataType(tvm::String type);
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DLDataType FDDataTypeToDLDataType(FDDataType dtype);
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};
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} // namespace fastdeploy
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