gpu update conv kernel for auto-mixed-precision

mindspore/ccsrc/kernel/gpu/math/binary_op_gpu_kernel.h

@@ -218,7 +218,7 @@ class BinaryOpGpuKernel : public GpuKernel {
       }
     }
     CHECK_CUDNN_RET_WITH_EXCEPT(
-      cudnnSetOpTensorDescriptor(opTensor_descriptor_, tensor_op_, cudnn_data_type_, CUDNN_NOT_PROPAGATE_NAN),
+      cudnnSetOpTensorDescriptor(opTensor_descriptor_, tensor_op_, CUDNN_DATA_FLOAT, CUDNN_NOT_PROPAGATE_NAN),
       "cudnnSetOpTensorDescriptor failed");
     return;
   }

mindspore/ccsrc/kernel/gpu/nn/conv2d_gpu_kernel.h

@@ -142,10 +142,14 @@ class Conv2dGpuFwdKernel : public GpuKernel {
       }
       CHECK_CUDNN_RET_WITH_EXCEPT(
         cudnnSetConvolution2dDescriptor(conv_desc_, pad_height_, pad_width_, stride_, stride_, dilation_, dilation_,
-                                        CUDNN_CROSS_CORRELATION, cudnn_data_type_),
+                                        CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
         "cudnnSetConvolution2dDescriptor failed");
       input_descriptor_real = input_desc_;
     }
+    if (cudnn_data_type_ == CUDNN_DATA_HALF) {
+      CHECK_CUDNN_RET_WITH_EXCEPT(cudnnSetConvolutionMathType(conv_desc_, CUDNN_TENSOR_OP_MATH),
+                                  "cudnnSetConvolutionMathType failed.")
+    }
     SelectAlgorithm(input_descriptor_real);
     InitSizeLists();
     return true;
@@ -240,7 +244,7 @@ class Conv2dGpuFwdKernel : public GpuKernel {
                                 "cudnnSetTensor4dDescriptor failed");
     CHECK_CUDNN_RET_WITH_EXCEPT(
       cudnnSetConvolution2dDescriptor(conv_desc_, use_pad_ ? 0 : pad_top_, use_pad_ ? 0 : pad_left_, stride_, stride_,
-                                      dilation_, dilation_, CUDNN_CROSS_CORRELATION, cudnn_data_type_),
+                                      dilation_, dilation_, CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
       "cudnnSetConvolution2dDescriptor failed");
   }
 
@@ -276,6 +280,9 @@ class Conv2dGpuFwdKernel : public GpuKernel {
         "cudnnGetConvolutionForwardAlgorithm_v7 failed");
       conv_algorithm_ = perf_results.algo;
     }
+    if (cudnn_data_type_ == CUDNN_DATA_HALF) {
+      conv_algorithm_ = CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM;
+    }
   }
   cudnnHandle_t cudnn_handle_;
   cudnnTensorDescriptor_t input_desc_;

mindspore/ccsrc/kernel/gpu/nn/conv2d_grad_filter_gpu_kernel.h

@@ -141,10 +141,14 @@ class ConvGradFilterGpuBkwKernel : public GpuKernel {
       }
       CHECK_CUDNN_RET_WITH_EXCEPT(
         cudnnSetConvolution2dDescriptor(conv_desc_, pad_height_, pad_width_, stride_, stride_, dilation_, dilation_,
-                                        CUDNN_CROSS_CORRELATION, cudnn_data_type_),
+                                        CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
         "GetConvolution2dDescriptor failed");
       x_desc_real = x_desc_;
     }
+    if (cudnn_data_type_ == CUDNN_DATA_HALF) {
+      CHECK_CUDNN_RET_WITH_EXCEPT(cudnnSetConvolutionMathType(conv_desc_, CUDNN_TENSOR_OP_MATH),
+                                  "cudnnSetConvolutionMathType failed.")
+    }
     SelectAlgorithm(x_desc_real);
     InitSizeLists();
     return true;
@@ -239,7 +243,7 @@ class ConvGradFilterGpuBkwKernel : public GpuKernel {
                                 "cudnnSetTensor4dDescriptor failed");
     CHECK_CUDNN_RET_WITH_EXCEPT(
       cudnnSetConvolution2dDescriptor(conv_desc_, use_pad_ ? 0 : pad_top_, use_pad_ ? 0 : pad_left_, stride_, stride_,
-                                      dilation_, dilation_, CUDNN_CROSS_CORRELATION, cudnn_data_type_),
+                                      dilation_, dilation_, CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
       "cudnnSetConvolution2dDescriptor failed");
   }
   void SelectAlgorithm(cudnnTensorDescriptor_t x_desc_real) {
@@ -258,6 +262,9 @@ class ConvGradFilterGpuBkwKernel : public GpuKernel {
         "GetConvolutionBackwardFilterAlgorithm failed");
       algo_ = perf_results.algo;
     }
+    if (cudnn_data_type_ == CUDNN_DATA_HALF) {
+      algo_ = CUDNN_CONVOLUTION_BWD_FILTER_ALGO_1;
+    }
   }
   void GetFilterShape(const CNodePtr &kernel_node, std::vector<int> *filter_shape) {
     auto shp_tuple_x = AnfAlgo::GetCNodePrimitive(kernel_node)->GetAttr("filter_sizes")->cast<ValueTuplePtr>()->value();

mindspore/ccsrc/kernel/gpu/nn/conv2d_grad_input_gpu_kernel.h

@@ -142,10 +142,14 @@ class ConvGradInputGpuBkwKernel : public GpuKernel {
       }
       CHECK_CUDNN_RET_WITH_EXCEPT(
         cudnnSetConvolution2dDescriptor(conv_desc_, pad_height_, pad_width_, stride_, stride_, dilation_, dilation_,
-                                        CUDNN_CROSS_CORRELATION, cudnn_data_type_),
+                                        CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
         "cudnnSetConvolution2dDescriptor failed");
       dx_desc_real = dx_desc_;
     }
+    if (cudnn_data_type_ == CUDNN_DATA_HALF) {
+      CHECK_CUDNN_RET_WITH_EXCEPT(cudnnSetConvolutionMathType(conv_desc_, CUDNN_TENSOR_OP_MATH),
+                                  "cudnnSetConvolutionMathType failed.")
+    }
     SelectAlgorithm(dx_desc_real);
     InitSizeLists();
     return true;
@@ -239,7 +243,7 @@ class ConvGradInputGpuBkwKernel : public GpuKernel {
                                 "cudnnSetTensor4dDescriptor failed");
     CHECK_CUDNN_RET_WITH_EXCEPT(
       cudnnSetConvolution2dDescriptor(conv_desc_, use_pad_ ? 0 : pad_top_, use_pad_ ? 0 : pad_left_, stride_, stride_,
-                                      dilation_, dilation_, CUDNN_CROSS_CORRELATION, cudnn_data_type_),
+                                      dilation_, dilation_, CUDNN_CROSS_CORRELATION, CUDNN_DATA_FLOAT),
       "cudnnSetConvolution2dDescriptor failed");
   }
   void SelectAlgorithm(cudnnTensorDescriptor_t dx_desc_real) {
@@ -258,6 +262,9 @@ class ConvGradInputGpuBkwKernel : public GpuKernel {
         "cudnnGetConvolutionBackwardDataAlgorithm_v7 failed");
       algo_ = perf_results.algo;
     }
+    if (cudnn_data_type_ == CUDNN_DATA_HALF) {
+      algo_ = CUDNN_CONVOLUTION_BWD_DATA_ALGO_1;
+    }
   }
   void GetInputShape(const CNodePtr &kernel_node, std::vector<int> *input_shape) {
     auto shp_tuple_x = AnfAlgo::GetCNodePrimitive(kernel_node)->GetAttr("input_sizes")->cast<ValueTuplePtr>()->value();