[Backend] TRT backend & PP-Infer backend support pinned memory (#403)

* TRT backend use pinned memory

* refine fd tensor pinned memory logic

* TRT enable pinned memory configurable

* paddle inference support pinned memory

* pinned memory pybindings

Co-authored-by: Jason <jiangjiajun@baidu.com>

fastdeploy/core/fd_tensor.h

@@ -40,6 +40,10 @@ struct FASTDEPLOY_DECL FDTensor {
   // so we can skip data transfer, which may improve the efficience
   Device device = Device::CPU;
 
+  // Whether the data buffer is in pinned memory, which is allocated
+  // with cudaMallocHost()
+  bool is_pinned_memory = false;
+
   // if the external data is not on CPU, we use this temporary buffer
   // to transfer data to CPU at some cases we need to visit the
   // other devices' data