fix model_optimize_tool error when using host kernel, fix reshape op build...

fix model_optimize_tool error when using host kernel, fix reshape op build error on ios, test=develop (#1984)

lite/api/model_optimize_tool.cc

@@ -70,6 +70,7 @@ void Main() {
           target_repr.c_str());
     }
   }
+  valid_places.emplace_back(TARGET(kHost));
 
   CHECK(!valid_places.empty())
       << "At least one target should be set, should set the "

lite/operators/reshape_op.cc

@@ -60,7 +60,7 @@ bool ReshapeOp::AttachImpl(const cpp::OpDesc &opdesc, lite::Scope *scope) {
     }
     const std::vector<int> shape_vector = param_.shape;
     lite::Tensor *shape_tensor = new lite::Tensor;
-    shape_tensor->Resize(DDim({shape_vector.size()}));
+    shape_tensor->Resize({static_cast<int64_t>(shape_vector.size())});
     int *data_shape = shape_tensor->mutable_data<int>();
     for (int i = 0; i < shape_vector.size(); i++) {
       data_shape[i] = shape_vector[i];
@@ -83,7 +83,7 @@ bool ReshapeOp::AttachImpl(const cpp::OpDesc &opdesc, lite::Scope *scope) {
         << "The shape information must be set by Attr(shape).";
     const std::vector<int> shape_vector = param_.shape;
     lite::Tensor *shape_tensor = new lite::Tensor;
-    shape_tensor->Resize(DDim({shape_vector.size()}));
+    shape_tensor->Resize({static_cast<int64_t>(shape_vector.size())});
     int *data_shape = shape_tensor->mutable_data<int>();
     for (int i = 0; i < shape_vector.size(); i++) {
       data_shape[i] = shape_vector[i];
@@ -106,7 +106,7 @@ bool Reshape2Op::InferShape() const {
   for (size_t i = 0; i < x_dims.size(); i++) {
     xshape_dims[i + 1] = x_dims[i];
   }
-  param_.xshape->Resize(DDim(xshape_dims));
+  param_.xshape->Resize(xshape_dims);
   return true;
 }