Formatted last commit

apache · Feb 22, 2022 · 0510abc · 0510abc
1 parent 482d190
commit 0510abc
Showing 1 changed file with 20 additions and 20 deletions.
diff --git a/src/operator/nn/dnnl/dnnl_batch_norm-inl.h b/src/operator/nn/dnnl/dnnl_batch_norm-inl.h
@@ -146,11 +146,11 @@ static DNNLBNForward& GetBNForward(const BatchNormParam& param,
 
 template <typename DType>
 void DNNLBatchNormForwardImpl(const nnvm::NodeAttrs& attrs,
-                          const OpContext& ctx,
-                          const std::vector<NDArray>& inputs,
-                          const std::vector<OpReqType>& req,
-                          const std::vector<NDArray>& outputs,
-                          bool fuse_relu) {
+                              const OpContext& ctx,
+                              const std::vector<NDArray>& inputs,
+                              const std::vector<OpReqType>& req,
+                              const std::vector<NDArray>& outputs,
+                              bool fuse_relu) {
   const BatchNormParam& param = nnvm::get<BatchNormParam>(attrs.parsed);
   std::vector<NDArray> in_data(inputs.begin(), inputs.begin() + batchnorm::kInMovingMean);
 
@@ -263,10 +263,10 @@ void DNNLBatchNormForwardImpl(const nnvm::NodeAttrs& attrs,
 
 template <typename DType, bool fuse_relu>
 void DNNLBatchNormForward(const nnvm::NodeAttrs& attrs,
-                            const OpContext& ctx,
-                            const std::vector<NDArray>& inputs,
-                            const std::vector<OpReqType>& req,
-                            const std::vector<NDArray>& outputs) {
+                          const OpContext& ctx,
+                          const std::vector<NDArray>& inputs,
+                          const std::vector<OpReqType>& req,
+                          const std::vector<NDArray>& outputs) {
   DNNLBatchNormForwardImpl<DType>(attrs, ctx, inputs, req, outputs, fuse_relu);
 }
 
@@ -327,11 +327,11 @@ static DNNLBNBackward& GetBNBackward(const BatchNormParam& param,
 
 template <typename DType>
 void DNNLBatchNormBackwardImpl(const nnvm::NodeAttrs& attrs,
-                           const OpContext& ctx,
-                           const std::vector<NDArray>& inputs,
-                           const std::vector<OpReqType>& req,
-                           const std::vector<NDArray>& outputs,
-                           bool fuse_relu) {
+                               const OpContext& ctx,
+                               const std::vector<NDArray>& inputs,
+                               const std::vector<OpReqType>& req,
+                               const std::vector<NDArray>& outputs,
+                               bool fuse_relu) {
   if (fuse_relu) {
     CHECK_EQ(inputs.size(), 9U);
   } else {
@@ -492,12 +492,12 @@ void DNNLBatchNormBackwardImpl(const nnvm::NodeAttrs& attrs,
 }
 
 template <typename DType, bool fuse_relu>
-void DNNLBatchNormBackward(const nnvm::NodeAttrs &attrs, const OpContext &ctx,
-                             const std::vector<NDArray> &inputs,
-                             const std::vector<OpReqType> &req,
-                             const std::vector<NDArray> &outputs) {
-  DNNLBatchNormBackwardImpl<DType>(attrs, ctx, inputs, req, outputs,
-                                     fuse_relu);
+void DNNLBatchNormBackward(const nnvm::NodeAttrs& attrs,
+                           const OpContext& ctx,
+                           const std::vector<NDArray>& inputs,
+                           const std::vector<OpReqType>& req,
+                           const std::vector<NDArray>& outputs) {
+  DNNLBatchNormBackwardImpl<DType>(attrs, ctx, inputs, req, outputs, fuse_relu);
 }
 }  // namespace op
 }  // namespace mxnet