change api to support trt8 in pool3d_op_convert (#36783) (#36812)

* change api for support trt8

paddle/fluid/inference/tensorrt/convert/pool3d_op.cc

@@ -30,8 +30,8 @@ namespace tensorrt {
 
 inline void DealCeilMode(const nvinfer1::Dims &input_shape,
                          std::vector<int> ksize, std::vector<int> strides,
-                         std::vector<int> paddings, nvinfer1::DimsCHW *pre_pad,
-                         nvinfer1::DimsCHW *post_pad, int input_dims) {
+                         std::vector<int> paddings, nvinfer1::Dims3 *pre_pad,
+                         nvinfer1::Dims3 *post_pad, int input_dims) {
   int input_depth = input_shape.d[input_dims - 3];
   int input_height = input_shape.d[input_dims - 2];
   int input_width = input_shape.d[input_dims - 1];
@@ -56,15 +56,15 @@ inline void DealCeilMode(const nvinfer1::Dims &input_shape,
       1;
 
   if (floor_d_output_size != ceil_d_output_size) {
-    post_pad->c() = strides[0] - 1;
+    post_pad->d[0] = strides[0] - 1;
   }
 
   if (floor_h_output_size != ceil_h_output_size) {
-    post_pad->h() = strides[1] - 1;
+    post_pad->d[1] = strides[1] - 1;
   }
 
   if (floor_w_output_size != ceil_w_output_size) {
-    post_pad->w() = strides[2] - 1;
+    post_pad->d[2] = strides[2] - 1;
   }
 }
 
@@ -118,9 +118,9 @@ class Pool3dOpConverter : public OpConverter {
       reduce_operation = nvinfer1::ReduceOperation::kAVG;
       plugin_pool_type = plugin::Pool3DPlugin::Pool3DType::avg;
     }
-    nvinfer1::DimsCHW nv_ksize(ksize[0], ksize[1], ksize[2]);
-    nvinfer1::DimsCHW nv_strides(strides[0], strides[1], strides[2]);
-    nvinfer1::DimsCHW nv_paddings(paddings[0], paddings[1], paddings[2]);
+    nvinfer1::Dims3 nv_ksize(ksize[0], ksize[1], ksize[2]);
+    nvinfer1::Dims3 nv_strides(strides[0], strides[1], strides[2]);
+    nvinfer1::Dims3 nv_paddings(paddings[0], paddings[1], paddings[2]);
     nvinfer1::ILayer *layer = nullptr;
     if (op_desc.HasAttr("enable_int8")) {
       CHECK(op_desc.HasAttr("X_scale"));