gpu update bn

mindspore/ccsrc/kernel/gpu/nn/fused_batch_norm_gpu_kernel.h

@@ -82,6 +82,7 @@ class FusedBatchNormGpuKernel : public GpuKernel {
   }
   bool Init(const CNodePtr &kernel_node) override {
     InitResource();
+    cudnn_data_type_ = kCudnnDtypeMap[TypeIdLabel(AnfAlgo::GetInputDeviceDataType(kernel_node, 0))];
     size_t input_num = AnfAlgo::GetInputTensorNum(kernel_node);
     if (input_num != 5) {
       MS_LOG(EXCEPTION) << "input tensor size is " << input_num << ", FusedBatchNormGpuKernel should be 5";
@@ -112,11 +113,11 @@ class FusedBatchNormGpuKernel : public GpuKernel {
     }
 
     CHECK_CUDNN_RET_WITH_EXCEPT(
-      cudnnSetTensor4dDescriptor(x_desc_, CUDNN_TENSOR_NCHW, CUDNN_DATA_FLOAT, batch_, channel_, height_, width_),
+      cudnnSetTensor4dDescriptor(x_desc_, CUDNN_TENSOR_NCHW, cudnn_data_type_, batch_, channel_, height_, width_),
       "Set x desc failed");
 
     CHECK_CUDNN_RET_WITH_EXCEPT(
-      cudnnSetTensor4dDescriptor(y_desc_, CUDNN_TENSOR_NCHW, CUDNN_DATA_FLOAT, batch_, channel_, height_, width_),
+      cudnnSetTensor4dDescriptor(y_desc_, CUDNN_TENSOR_NCHW, cudnn_data_type_, batch_, channel_, height_, width_),
       "Set y desc failed");
 
     CHECK_CUDNN_RET_WITH_EXCEPT(

mindspore/ccsrc/kernel/gpu/nn/fused_batchnorm_grad_gpu_kernel.h

@@ -110,7 +110,7 @@ class FusedBatchNormGradGpuKernel : public GpuKernel {
       cudnnSetTensor4dDescriptor(dx_desc_, CUDNN_TENSOR_NCHW, cudnn_data_type_, batch_, channel_, height_, width_),
       "Set dx desc failed");
     CHECK_CUDNN_RET_WITH_EXCEPT(
-      cudnnSetTensor4dDescriptor(scale_bias_desc_, CUDNN_TENSOR_NCHW, cudnn_data_type_, 1, channel_, 1, 1),
+      cudnnSetTensor4dDescriptor(scale_bias_desc_, CUDNN_TENSOR_NCHW, CUDNN_DATA_FLOAT, 1, channel_, 1, 1),
       "Set para desc failed");
 
     InitSizeLists();