Correct typos (#32288)

paddle/fluid/operators/fused/conv_fusion_op.cu

@@ -200,13 +200,13 @@ class CUDNNConvFusionOpKernel : public framework::OpKernel<T> {
 
     PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::cudnnSetConvolutionMathType(
         cudnn_conv_desc, CUDNN_DEFAULT_MATH));
-#if CUDNN_VERSION >= 11000
+#if CUDA_VERSION >= 11000 && CUDNN_VERSION >= 8000
     if (!platform::allow_tf32_cudnn) {
       PADDLE_ENFORCE_CUDA_SUCCESS(
           platform::dynload::cudnnSetConvolutionMathType(cudnn_conv_desc,
                                                          CUDNN_FMA_MATH));
     }
-#endif  // CUDA_VERSION >= 11000
+#endif  // CUDA_VERSION >= 11000 && CUDNN_VERSION >= 8000
 
     auto x_dims = framework::vectorize(transformed_input.dims());
     auto f_dims = framework::vectorize(filter->dims());

paddle/fluid/operators/fused/fusion_conv_inception_op.cu

@@ -153,13 +153,13 @@ class CUDNNConvInceptionFusionOpKernel : public framework::OpKernel<T> {
       PADDLE_ENFORCE_CUDA_SUCCESS(
           platform::dynload::cudnnSetConvolutionMathType(conv_desc[i],
                                                          CUDNN_DEFAULT_MATH));
-#if CUDNN_VERSION >= 11000
+#if CUDA_VERSION >= 11000 && CUDNN_VERSION >= 8000
       if (!platform::allow_tf32_cudnn) {
         PADDLE_ENFORCE_CUDA_SUCCESS(
             platform::dynload::cudnnSetConvolutionMathType(conv_desc[i],
                                                            CUDNN_FMA_MATH));
       }
-#endif  // CUDA_VERSION >= 11000
+#endif  // CUDA_VERSION >= 11000 && CUDNN_VERSION >= 8000
     }
     in_dims[2][1] *= 2;
     in_strides[2][0] = oc * h * w;

paddle/fluid/platform/device_context.h

@@ -85,6 +85,7 @@ namespace platform {
 void SetAllowTF32Cublas(bool active);
 /*Get the global variable allow_tf32_cublas value*/
 bool AllowTF32Cublas();
+extern bool allow_tf32_cudnn;
 /*Set the value of the global variable allow_tf32_cudnn*/
 void SetAllowTF32Cudnn(bool active);
 /*Get the global variable allow_tf32_cudnn value*/