bugfix:fused batch norm op's input channel nums should be a multiple of 4

mindspore/ccsrc/backend/optimizer/gpu/batch_norm_add_relu_fusion.cc

@@ -52,6 +52,10 @@ const AnfNodePtr BatchNormAddReluFusion::Process(const FuncGraphPtr &graph, cons
   if (AnfAlgo::GetInputFormat(batch_norm_ex, 0) != kOpFormat_NHWC && format != "NHWC") {
     return nullptr;
   }
+  auto shape = AnfAlgo::GetInputDeviceShape(batch_norm_ex, 0);
+  if (shape.back() % kBNChannelMultipleFactor != 0) {
+    return nullptr;
+  }
 
   auto x = AnfAlgo::GetInputNode(utils::cast<CNodePtr>(batch_norm_ex), 0);
   auto scale = AnfAlgo::GetInputNode(utils::cast<CNodePtr>(batch_norm_ex), 1);

mindspore/ccsrc/backend/optimizer/gpu/batch_norm_add_relu_grad_fusion.cc

@@ -120,6 +120,10 @@ bool PatternCheck(const FuncGraphPtr &graph, const AnfNodePtr &node) {
   if (AnfAlgo::GetInputFormat(node, 0) != kOpFormat_NHWC && format != "NHWC") {
     return false;
   }
+  auto shape = AnfAlgo::GetInputDeviceShape(node, 0);
+  if (shape.back() % kBNChannelMultipleFactor != 0) {
+    return false;
+  }
 
   auto relu_grad = AnfAlgo::GetInputNode(utils::cast<CNodePtr>(node), 0);
   MS_EXCEPTION_IF_NULL(relu_grad);

mindspore/ccsrc/backend/optimizer/gpu/batch_norm_relu_fusion.cc

@@ -49,6 +49,10 @@ const AnfNodePtr BatchNormReluFusion::Process(const FuncGraphPtr &graph, const A
   if (AnfAlgo::GetInputFormat(batch_norm_ex, 0) != kOpFormat_NHWC && format != "NHWC") {
     return nullptr;
   }
+  auto shape = AnfAlgo::GetInputDeviceShape(batch_norm_ex, 0);
+  if (shape.back() % kBNChannelMultipleFactor != 0) {
+    return nullptr;
+  }
 
   auto x = AnfAlgo::GetInputNode(utils::cast<CNodePtr>(batch_norm_ex), 0);
   auto scale = AnfAlgo::GetInputNode(utils::cast<CNodePtr>(batch_norm_ex), 1);

mindspore/ccsrc/backend/optimizer/gpu/batch_norm_relu_grad_fusion.cc

@@ -44,6 +44,10 @@ const AnfNodePtr BatchNormReluGradFusion::Process(const FuncGraphPtr &graph, con
   if (AnfAlgo::GetInputFormat(node, 0) != kOpFormat_NHWC && format != "NHWC") {
     return nullptr;
   }
+  auto shape = AnfAlgo::GetInputDeviceShape(node, 0);
+  if (shape.back() % kBNChannelMultipleFactor != 0) {
+    return nullptr;
+  }
 
   auto relu_grad = AnfAlgo::GetInputNode(utils::cast<CNodePtr>(node), 0);
   MS_EXCEPTION_IF_NULL(relu_grad);

mindspore/ccsrc/utils/utils.h

@@ -344,6 +344,7 @@ const size_t kShape5dDims = 5;
 const size_t kShape1dDims = 1;
 const size_t kCubeSize = 16;
 const size_t kMemAlignSize = 512;
+const size_t kBNChannelMultipleFactor = 4;
 const int kParameterDataTensorMask = 0;
 const int kParameterWeightTensorMask = 1;
 const int kValueNodeTensorMask = 2;