mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 16:48:03 +08:00
c38b7d4377
* Fix links in readme * Fix links in readme * Update PPOCRv2/v3 examples * Update auto compression configs * Add neww quantization support for paddleclas model * Update quantized Yolov6s model download link * Improve PPOCR comments * Add English doc for quantization * Fix PPOCR rec model bug * Add new paddleseg quantization support * Add new paddleseg quantization support * Add new paddleseg quantization support * Add new paddleseg quantization support * Add Ascend model list * Add ascend model list * Add ascend model list * Add ascend model list * Add ascend model list * Add ascend model list * Add ascend model list * Support DirectML in onnxruntime * Support onnxruntime DirectML * Support onnxruntime DirectML * Support onnxruntime DirectML * Support OnnxRuntime DirectML * Support OnnxRuntime DirectML * Support OnnxRuntime DirectML * Support OnnxRuntime DirectML * Support OnnxRuntime DirectML * Support OnnxRuntime DirectML * Support OnnxRuntime DirectML * Support OnnxRuntime DirectML * Remove DirectML vision model example * Imporve OnnxRuntime DirectML * Imporve OnnxRuntime DirectML * fix opencv cmake in Windows * recheck codestyle
85 lines
2.7 KiB
C++
85 lines
2.7 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 <iostream>
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#include <memory>
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#include <string>
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#include <vector>
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#include <map>
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#include "fastdeploy/runtime/backends/backend.h"
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#include "fastdeploy/runtime/backends/ort/option.h"
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#include "onnxruntime_cxx_api.h" // NOLINT
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#ifdef WITH_DIRECTML
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#include "dml_provider_factory.h" // NOLINT
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#endif
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namespace fastdeploy {
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struct OrtValueInfo {
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std::string name;
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std::vector<int64_t> shape;
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ONNXTensorElementDataType dtype;
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};
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class OrtBackend : public BaseBackend {
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public:
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OrtBackend() {}
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virtual ~OrtBackend() = default;
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bool BuildOption(const OrtBackendOption& option);
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bool Init(const RuntimeOption& option);
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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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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;
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TensorInfo GetOutputInfo(int index) override;
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std::vector<TensorInfo> GetInputInfos() override;
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std::vector<TensorInfo> GetOutputInfos() override;
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static std::vector<OrtCustomOp*> custom_operators_;
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void InitCustomOperators();
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private:
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bool InitFromPaddle(const std::string& model_buffer,
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const std::string& params_buffer,
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const OrtBackendOption& option = OrtBackendOption(),
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bool verbose = false);
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bool InitFromOnnx(const std::string& model_buffer,
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const OrtBackendOption& option = OrtBackendOption());
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Ort::Env env_;
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Ort::Session session_{nullptr};
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Ort::SessionOptions session_options_;
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std::shared_ptr<Ort::IoBinding> binding_;
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std::vector<OrtValueInfo> inputs_desc_;
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std::vector<OrtValueInfo> outputs_desc_;
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#ifndef NON_64_PLATFORM
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Ort::CustomOpDomain custom_op_domain_ = Ort::CustomOpDomain("Paddle");
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#endif
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OrtBackendOption option_;
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void OrtValueToFDTensor(const Ort::Value& value, FDTensor* tensor,
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const std::string& name, bool copy_to_fd);
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};
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} // namespace fastdeploy
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