[Other] [Part2] Upgrade runtime module (#1080)

[Other] Upgrade runtime module

fastdeploy/runtime/backends/backend.h

@@ -0,0 +1,76 @@
+// Copyright (c) 2022 PaddlePaddle Authors. 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.
+
+#pragma once
+
+#include <iostream>
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "fastdeploy/core/fd_tensor.h"
+#include "fastdeploy/core/fd_type.h"
+
+namespace fastdeploy {
+
+/*! @brief Information of Tensor
+ */
+struct TensorInfo {
+  std::string name;        ///< Name of tensor
+  std::vector<int> shape;  ///< Shape of tensor
+  FDDataType dtype;        ///< Data type of tensor
+
+  friend std::ostream& operator<<(std::ostream& output,
+                                  const TensorInfo& info) {
+    output << "TensorInfo(name: " << info.name << ", shape: [";
+    for (size_t i = 0; i < info.shape.size(); ++i) {
+      if (i == info.shape.size() - 1) {
+        output << info.shape[i];
+      } else {
+        output << info.shape[i] << ", ";
+      }
+    }
+    output << "], dtype: " << Str(info.dtype) << ")";
+    return output;
+  }
+};
+
+class BaseBackend {
+ public:
+  bool initialized_ = false;
+
+  BaseBackend() {}
+  virtual ~BaseBackend() = default;
+
+  virtual bool Initialized() const { return initialized_; }
+
+  virtual int NumInputs() const = 0;
+  virtual int NumOutputs() const = 0;
+  virtual TensorInfo GetInputInfo(int index) = 0;
+  virtual TensorInfo GetOutputInfo(int index) = 0;
+  virtual std::vector<TensorInfo> GetInputInfos() = 0;
+  virtual std::vector<TensorInfo> GetOutputInfos() = 0;
+  // if copy_to_fd is true, copy memory data to FDTensor
+  // else share memory to FDTensor(only Paddle、ORT、TRT、OpenVINO support it)
+  virtual bool Infer(std::vector<FDTensor>& inputs,
+                     std::vector<FDTensor>* outputs,
+                     bool copy_to_fd = true) = 0;
+  virtual std::unique_ptr<BaseBackend> Clone(void *stream = nullptr,
+                                             int device_id = -1) {
+    FDERROR << "Clone no support" << std::endl;
+    return nullptr;
+  }
+};
+
+}  // namespace fastdeploy