Enable lazy tensor allocation

- The previous ref_model was allocating the memory for all tensors in
the graph upfront which is unnecessary and wasteful.
- This patch changes to only allocate initial input tensors on the entry
point using the allocateInputTensor() function.
- The output tensors are ensured to have been allocated before executing
a node. The output tenosrs are the inputs for the next node.
- When a node's evaluation is finished, its input tensors will be freed
if they will no longer be used by anyone else.

Signed-off-by: Jerry Ge <jerry.ge@arm.com>
Change-Id: Ibb3e8c9e6344f6cd9eb20532a03b2097b93247f9

1 files changed, 2 insertions, 1 deletions

diff --git a/reference_model/src/subgraph_traverser.h b/reference_model/src/subgraph_traverser.h
index 00989ee..ef6ea42 100644
--- a/reference_model/src/subgraph_traverser.h
+++ b/reference_model/src/subgraph_traverser.h
@@ -49,7 +49,8 @@ public:
 
     int linkTensorsAndNodes();
     int validateGraph();
-    int allocateTensor();
+    int allocateInputTensors();
+    int allocateTensor(std::string name);
 
     int dumpGraph(FILE* out) const;
     int dumpNextNodeList(FILE* out) const;