use CudnnHolder in conv_transpose_cudnn_op

paddle/fluid/operators/conv_transpose_cudnn_op.cu.cc

@@ -100,9 +100,8 @@ class CUDNNConvTransposeOpKernel : public framework::OpKernel<T> {
             handle, cudnn_filter_desc, cudnn_input_desc, cudnn_conv_desc,
             cudnn_output_desc, algo, &workspace_size_in_bytes));
 
-    // Allocate on GPU memory
-    platform::CUDAPlace gpu = boost::get<platform::CUDAPlace>(ctx.GetPlace());
-    cudnn_workspace = paddle::memory::Alloc(gpu, workspace_size_in_bytes);
+    // Get cudnn workspace
+    cudnn_workspace = dev_ctx.cudnn_workspace(workspace_size_in_bytes);
 
     // ------------------- cudnn conv transpose forward ---------------------
     int input_offset = input->numel() / input->dims()[0] / groups;
@@ -116,9 +115,6 @@ class CUDNNConvTransposeOpKernel : public framework::OpKernel<T> {
           algo, cudnn_workspace, workspace_size_in_bytes, &beta,
           cudnn_output_desc, output_data + output_offset * g));
     }
-
-    // Release the cudnn workspace
-    paddle::memory::Free(gpu, cudnn_workspace);
   }
 };
 
@@ -207,10 +203,8 @@ class CUDNNConvTransposeGradOpKernel : public framework::OpKernel<T> {
     }
 
     // ------------------- cudnn conv workspace ---------------------
-    // Already on GPU
-    void* cudnn_workspace = nullptr;
-    platform::CUDAPlace gpu = boost::get<platform::CUDAPlace>(ctx.GetPlace());
-    cudnn_workspace = paddle::memory::Alloc(gpu, workspace_size_in_bytes);
+    // Get cudnn workspace
+    void* cudnn_workspace = dev_ctx.cudnn_workspace(workspace_size_in_bytes);
     // ------------------- cudnn conv backward data ---------------------
     // FIXME(typhoonzero): template type T may not be the same as cudnn call.
     int input_offset = input->numel() / input->dims()[0] / groups;
@@ -245,9 +239,6 @@ class CUDNNConvTransposeGradOpKernel : public framework::OpKernel<T> {
             filter_grad_data + filter_offset * g));
       }
     }
-
-    // Release the cudnn workspace
-    paddle::memory::Free(gpu, cudnn_workspace);
   }
 };