diff --git a/ethosu/vela/tensor.py b/ethosu/vela/tensor.py
index 42d9526..3990164 100644
--- a/ethosu/vela/tensor.py
+++ b/ethosu/vela/tensor.py
@@ -26,6 +26,27 @@
 from .range_set import MemoryRangeSet
 
 
+class MemType(enum.IntFlag):
+    Unknown = 0
+    Permanent_NPU = 1
+    Permanent_CPU = 2
+    Scratch = 3
+    Scratch_fast = 4
+    Size = Scratch_fast + 1
+
+    def display_name(self):
+        return ("Unknown", "Permanent_NPU", "Permanent_CPU", "Scratch", "Scratch_fast", "Size")[self.value]
+
+    def identifier_name(self):
+        return ("unknown", "permanent_npu", "permanent_cpu", "scratch", "scratch_fast", "size")[self.value]
+
+    def all():
+        return (MemType.Permanent_NPU, MemType.Permanent_CPU, MemType.Scratch, MemType.Scratch_fast)
+
+    def __str__(self):
+        return self.name
+
+
 class MemArea(enum.IntFlag):
     Unknown = 0
     Sram = 1
@@ -209,6 +230,7 @@
         "quant_values",
         "compressed_values",
         "mem_area",
+        "mem_type",
         "format",
         "purpose",
         "sub_purpose",
@@ -252,6 +274,7 @@
         self.quant_values = None
         self.compressed_values = None
         self.mem_area = MemArea.Unknown
+        self.mem_type = MemType.Unknown
         self.format = TensorFormat.Unknown
         self.purpose = TensorPurpose.Unknown
         self.sub_purpose = TensorSubPurpose.Standard
@@ -291,6 +314,7 @@
         res.values = self.values
         res.quant_values = self.quant_values
         res.mem_area = self.mem_area
+        res.mem_type = self.mem_type
         res.format = self.format
         res.purpose = self.purpose
         res.sub_purpose = self.sub_purpose
@@ -312,6 +336,7 @@
     def clone_into_fast_storage(self, arch):
         res = self.clone(suffix="_fast_storage")
         res.mem_area = arch.fast_storage_mem_area
+        res.mem_type = MemType.Scratch_fast
         return res
 
     def copy_compressed_weight_info(self, src_tens):
@@ -641,6 +666,11 @@
         assert address_offset <= self.storage_size()
         return address_offset
 
+    def is_allocated_in_tensor_arena(self, scratch_tensor_mem_area):
+        if self.mem_area == scratch_tensor_mem_area and (self.mem_type in set((MemType.Scratch, MemType.Scratch_fast))):
+            return True
+        return False
+
     def __str__(self):
         return "<nng.Tensor '%s' shape=%s dtype=%s>" % (self.name, self.shape, self.dtype)