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, 2 deletions

diff --git a/reference_model/src/model_runner_impl.cc b/reference_model/src/model_runner_impl.cc
index ce548e9..be97644 100644
--- a/reference_model/src/model_runner_impl.cc
+++ b/reference_model/src/model_runner_impl.cc
@@ -327,9 +327,9 @@ GraphStatus ModelRunnerImpl::initialize(TosaSerializationBasicBlock* bb,
         return _main_gt->getGraphStatus();
     }
 
-    if (_main_gt->allocateTensor())
+    if (_main_gt->allocateInputTensors())
     {
-        WARNING("Failed to allocate tensor.");
+        WARNING("Failed to allocate input tensors.");
         return _main_gt->getGraphStatus();
     }