fix_concat_slice

mindspore/lite/src/ops/concat.cc

@@ -107,14 +107,8 @@ int Concat::InferShape(std::vector<tensor::Tensor *> inputs_, std::vector<tensor
   }
   auto input0_shape_without_axis = input0_shape;
   input0_shape_without_axis.erase(input0_shape_without_axis.begin() + axis);
-  auto input0_data_type = inputs_.at(0)->data_type();
   int output_axis_dim = input0_shape.at(axis);
   for (size_t i = 1; i < inputs_.size(); ++i) {
-    if (inputs_.at(i)->data_type() != input0_data_type) {
-      MS_LOG(ERROR) << "All inputs should have the same data type!";
-      return RET_PARAM_INVALID;
-    }
-
     auto shape_tmp = inputs_.at(i)->shape();
     if (shape_tmp.size() != input0_shape.size()) {
       MS_LOG(ERROR) << "All inputs should have the same dim num!";

mindspore/lite/src/ops/slice.cc

@@ -60,6 +60,12 @@ int Slice::UnPackToFlatBuilder(const schema::Primitive *primitive, flatbuffers::
     return RET_ERROR;
   }
 
+  std::vector<int32_t> axes;
+  if (attr->axes() != nullptr) {
+    for (int i = 0; i < static_cast<int>(attr->axes()->size()); i++) {
+      axes.push_back(attr->axes()->data()[i]);
+    }
+  }
   std::vector<int32_t> begin;
   if (attr->begin() != nullptr) {
     for (int i = 0; i < static_cast<int>(attr->begin()->size()); i++) {
@@ -73,7 +79,7 @@ int Slice::UnPackToFlatBuilder(const schema::Primitive *primitive, flatbuffers::
     }
   }
 
-  auto val_offset = schema::CreateSliceDirect(*fbb, attr->format(), &begin, &size);
+  auto val_offset = schema::CreateSliceDirect(*fbb, attr->format(), &axes, &begin, &size);
   auto prim_offset = schema::CreatePrimitive(*fbb, schema::PrimitiveType_Slice, val_offset.o);
   fbb->Finish(prim_offset);
   return RET_OK;