diff --git a/compiler/fm-equalize-value-py-test/exclude.me b/compiler/fm-equalize-value-py-test/exclude.me
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/compiler/luci/import/src/ImporterEx.cpp b/compiler/luci/import/src/ImporterEx.cpp
index d4bbc71de56..88b125f1657 100644
--- a/compiler/luci/import/src/ImporterEx.cpp
+++ b/compiler/luci/import/src/ImporterEx.cpp
@@ -25,6 +25,14 @@
 namespace luci
 {
 
+namespace
+{
+
+// limitation of current flatbuffers file size
+inline constexpr uint64_t FLATBUFFERS_SIZE_MAX = 2147483648UL; // 2GB
+
+} // namespace
+
 std::unique_ptr<Module> ImporterEx::importVerifyModule(const std::string &input_path) const
 {
   foder::FileLoader file_loader{input_path};
@@ -43,11 +51,14 @@ std::unique_ptr<Module> ImporterEx::importVerifyModule(const std::string &input_
   auto data_data = reinterpret_cast<uint8_t *>(model_data.data());
   auto data_size = model_data.size();
 
-  flatbuffers::Verifier verifier{data_data, data_size};
-  if (!circle::VerifyModelBuffer(verifier))
+  if (data_size < FLATBUFFERS_SIZE_MAX)
   {
-    std::cerr << "ERROR: Invalid input file '" << input_path << "'" << std::endl;
-    return nullptr;
+    flatbuffers::Verifier verifier{data_data, data_size};
+    if (!circle::VerifyModelBuffer(verifier))
+    {
+      std::cerr << "ERROR: Invalid input file '" << input_path << "'" << std::endl;
+      return nullptr;
+    }
   }
 
   Importer importer(_source);
diff --git a/compiler/luci/service/src/Nodes/CircleReshape.cpp b/compiler/luci/service/src/Nodes/CircleReshape.cpp
index a28ad648320..7ae7269f7d0 100644
--- a/compiler/luci/service/src/Nodes/CircleReshape.cpp
+++ b/compiler/luci/service/src/Nodes/CircleReshape.cpp
@@ -91,6 +91,11 @@ loco::TensorShape Algorithm::visit(const luci::CircleReshape *node)
         {
           shape_by_input.dim(axis).unset();
         }
+        else if (const_shape_node->at<S32>(axis) == 0)
+        {
+          // Assume 0 as 1
+          shape_by_input.dim(axis).set(1);
+        }
       }
     }
     else
@@ -148,7 +153,7 @@ loco::TensorShape Algorithm::visit(const luci::CircleReshape *node)
   }
   for (uint32_t dim_index = 0; dim_index < output_shape.rank(); ++dim_index)
   {
-    const uint32_t dim_value = output_shape.dim(dim_index).value();
+    uint32_t dim_value = output_shape.dim(dim_index).value();
     if (not output_shape.dim(dim_index).known())
     {
       LUCI_ASSERT(unknown_dim_index == UINT32_MAX, "More than one unknown dimension");
@@ -156,6 +161,8 @@ loco::TensorShape Algorithm::visit(const luci::CircleReshape *node)
     }
     else
     {
+      if (!dim_value)
+        dim_value = 1;
       output_element_count *= dim_value;
     }
   }