diff --git a/mindspore/lite/nnacl/infer/arithmetic_grad_infer.c b/mindspore/lite/nnacl/infer/arithmetic_grad_infer.c
index ed00572b17..a6d85caff4 100644
--- a/mindspore/lite/nnacl/infer/arithmetic_grad_infer.c
+++ b/mindspore/lite/nnacl/infer/arithmetic_grad_infer.c
@@ -103,3 +103,4 @@ int ArithmeticGradInferShape(const TensorC *const *inputs, size_t inputs_size, T
 
 REG_INFER(DivGrad, PrimType_DivGrad, ArithmeticGradInferShape)
 REG_INFER(MulGrad, PrimType_MulGrad, ArithmeticGradInferShape)
+REG_INFER(MinimumGrad, PrimType_MinimumGrad, ArithmeticGradInferShape)
diff --git a/mindspore/lite/nnacl/infer/layer_norm_infer.c b/mindspore/lite/nnacl/infer/layer_norm_infer.c
index 1b132b9c0f..ed8590991f 100644
--- a/mindspore/lite/nnacl/infer/layer_norm_infer.c
+++ b/mindspore/lite/nnacl/infer/layer_norm_infer.c
@@ -37,6 +37,8 @@ int LayerNormInferShape(const TensorC *const *inputs, size_t inputs_size, Tensor
   if (!param->op_parameter_.infer_flag_) {
     return NNACL_INFER_INVALID;
   }
+  param->begin_norm_axis_ =
+    param->begin_norm_axis_ < 0 ? param->begin_norm_axis_ + input->shape_size_ : param->begin_norm_axis_;
   SetShapeTensor(output, input);
   // take care of other outputs
   if (outputs_size == 3) {
@@ -45,10 +47,9 @@ int LayerNormInferShape(const TensorC *const *inputs, size_t inputs_size, Tensor
     SetDataTypeFormat(output_mean, input);
     SetDataTypeFormat(output_var, input);
     int size = 0;
-    for (int i = param->begin_norm_axis_; i < input->shape_size_; i++) {
-      output_mean->shape_[size] = input->shape_[i];
-      output_var->shape_[size] = input->shape_[i];
-      size++;
+    for (; size < param->begin_norm_axis_; size++) {
+      output_mean->shape_[size] = input->shape_[size];
+      output_var->shape_[size] = input->shape_[size];
     }
     output_mean->shape_size_ = size;
     output_var->shape_size_ = size;
diff --git a/mindspore/lite/src/runtime/kernel/arm/fp32_grad/activation_grad.cc b/mindspore/lite/src/runtime/kernel/arm/fp32_grad/activation_grad.cc
index 5d5e1390f6..8dd61109d8 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp32_grad/activation_grad.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/fp32_grad/activation_grad.cc
@@ -35,8 +35,8 @@ using mindspore::schema::PrimitiveType_ActivationGrad;
 
 namespace mindspore::kernel {
 int ActivationGradCPUKernel::Init() {
-  if (in_tensors_.size() != 2) {
-    MS_LOG(ERROR) << "ActivationGrad should have 2 input tensors";
+  if (in_tensors_.size() < 2) {
+    MS_LOG(ERROR) << "ActivationGrad should have more than 2 input tensors";
     return RET_ERROR;
   }
   return RET_OK;