modify norm kernel to run caffe_facedetection model (#2008)

* modify norm kernel to run caffe_facedetection model

* reserve bind norm, remove calc of norm output

lite/kernels/arm/norm_compute.cc

@@ -47,4 +47,5 @@ REGISTER_LITE_KERNEL(
     norm, kARM, kFloat, kNCHW, paddle::lite::kernels::arm::NormCompute, def)
     .BindInput("X", {LiteType::GetTensorTy(TARGET(kARM))})
     .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kARM))})
+    .BindOutput("Norm", {LiteType::GetTensorTy(TARGET(kARM))})
     .Finalize();

lite/operators/op_params.h

@@ -612,6 +612,7 @@ struct SequenceSoftmaxParam {
 struct NormParam {
   const lite::Tensor* X{};
   lite::Tensor* Out{};
+  lite::Tensor* Norm{};
   int axis{1};
   float epsilon{1e-10};
 };

lite/tests/kernels/norm_compute_test.cc

@@ -46,7 +46,7 @@ class NormComputeTester : public arena::TestCase {
 
     auto* x = scope->FindTensor(input_);
     const auto* x_data = x->data<float>();
-    int axis = axis_ < 0 ? axis + dims_.size() : axis_;
+    int axis = axis_ < 0 ? axis_ + dims_.size() : axis_;
     int pre_n = dims_.count(0, axis);
     int n = dims_[axis];
     int post_n = dims_.count(axis + 1, dims_.size());