fix some little error

lite/kernels/mlu/bridges/transpose_op.cc

@@ -75,7 +75,7 @@ int TransposeConverter(void* ctx, OpLite* op, KernelBase* kernel) {
   std::vector<int> axis_nhwc;
   if (axis.size() == 4) {
     axis_nhwc = axis_to_nhwc4d(axis);
-  } else if (axis.size(0 == 3)) {
+  } else if (axis.size() == 3) {
     axis_nhwc = axis_to_nhw3d(axis);
   } else {
     CHECK(0) << "Unsupport dim in mlu transpose";

lite/kernels/mlu/layout_compute.cc

@@ -29,12 +29,12 @@ REGISTER_LITE_KERNEL(
     kNHWC,
     paddle::lite::kernels::mlu::LayoutNhwcToNchwCompute<PRECISION(kFloat)>,
     def_layout_nhwc2nchw_fp32)
-    .BindInput("Inputs",
-               {LiteType::GetTensorTy(TARGET(kMLU),
+    .BindInput("Input",
+               {LiteType::GetTensorTy(TARGET(kHost),
                                       PRECISION(kFloat),
                                       DATALAYOUT(kNHWC))})
-    .BindOutput("Outputs",
-                {LiteType::GetTensorTy(TARGET(kMLU),
+    .BindOutput("Out",
+                {LiteType::GetTensorTy(TARGET(kHost),
                                        PRECISION(kFloat),
                                        DATALAYOUT(kNCHW))})
     .Finalize();
@@ -46,12 +46,12 @@ REGISTER_LITE_KERNEL(
     kNHWC,
     paddle::lite::kernels::mlu::LayoutNhwcToNchwCompute<PRECISION(kFP16)>,
     def_layout_nhwc2nchw_fp16)
-    .BindInput("Inputs",
-               {LiteType::GetTensorTy(TARGET(kMLU),
+    .BindInput("Input",
+               {LiteType::GetTensorTy(TARGET(kHost),
                                       PRECISION(kFloat),
                                       DATALAYOUT(kNHWC))})
-    .BindOutput("Outputs",
-                {LiteType::GetTensorTy(TARGET(kMLU),
+    .BindOutput("Out",
+                {LiteType::GetTensorTy(TARGET(kHost),
                                        PRECISION(kFloat),
                                        DATALAYOUT(kNCHW))})
     .Finalize();
@@ -63,12 +63,12 @@ REGISTER_LITE_KERNEL(
     kNHWC,
     paddle::lite::kernels::mlu::LayoutNchwToNhwcCompute<PRECISION(kFloat)>,
     def_layout_nchw2nhwc_fp32)
-    .BindInput("Inputs",
-               {LiteType::GetTensorTy(TARGET(kMLU),
+    .BindInput("Input",
+               {LiteType::GetTensorTy(TARGET(kHost),
                                       PRECISION(kFloat),
                                       DATALAYOUT(kNCHW))})
-    .BindOutput("Outputs",
-                {LiteType::GetTensorTy(TARGET(kMLU),
+    .BindOutput("Out",
+                {LiteType::GetTensorTy(TARGET(kHost),
                                        PRECISION(kFloat),
                                        DATALAYOUT(kNHWC))})
     .Finalize();
@@ -80,12 +80,12 @@ REGISTER_LITE_KERNEL(
     kNHWC,
     paddle::lite::kernels::mlu::LayoutNchwToNhwcCompute<PRECISION(kFP16)>,
     def_layout_nchw2nhwc_fp16)
-    .BindInput("Inputs",
-               {LiteType::GetTensorTy(TARGET(kMLU),
+    .BindInput("Input",
+               {LiteType::GetTensorTy(TARGET(kHost),
                                       PRECISION(kFloat),
                                       DATALAYOUT(kNCHW))})
-    .BindOutput("Outputs",
-                {LiteType::GetTensorTy(TARGET(kMLU),
+    .BindOutput("Out",
+                {LiteType::GetTensorTy(TARGET(kHost),
                                        PRECISION(kFloat),
                                        DATALAYOUT(kNHWC))})
     .Finalize();

lite/kernels/mlu/layout_compute.h

@@ -86,9 +86,8 @@ class LayoutNchwToNhwcCompute
         CHECK(0) << "Unsupport dim in mlu layout nchw to nhwc";
     }
 
-    LayoutTransCompute<lite::TargetType::X86, float>(
+    LayoutTransCompute<lite::TargetType::kX86, float>(
         x_dims, context, *x, out, axis);
-    )
   }
 
   std::string doc() const override {
@@ -129,9 +128,8 @@ class LayoutNhwcToNchwCompute
         CHECK(0) << "Unsupport dim in mlu layout nhwc to nchw";
     }
 
-    LayoutTransCompute<lite::TargetType::X86, float>(
+    LayoutTransCompute<lite::TargetType::kX86, float>(
         x_dims, context, *x, out, axis);
-    )
   }
 
   std::string doc() const override {