[PATCH] D135739: [MLGO] Force persistency in tflite buffers.

Jacob Hegna via Phabricator via llvm-commits llvm-commits at lists.llvm.org
Tue Oct 11 19:11:54 PDT 2022


jacobhegna created this revision.
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When training large models, we encounter use-after-free bugs when
writing to the input tensors for various MLGO models. This patch fixes the
issue by marking the tensors as "persistent".


Repository:
  rG LLVM Github Monorepo

https://reviews.llvm.org/D135739

Files:
  llvm/lib/Analysis/TFLiteUtils.cpp


Index: llvm/lib/Analysis/TFLiteUtils.cpp
===================================================================
--- llvm/lib/Analysis/TFLiteUtils.cpp
+++ llvm/lib/Analysis/TFLiteUtils.cpp
@@ -121,6 +121,15 @@
   tflite::InterpreterBuilder Builder(*Model, Resolver);
   Builder(&Interpreter);
 
+  // We assume the input buffers are valid for the lifetime of the interpreter.
+  // By default, tflite allocates memory in an arena and will periodically take
+  // away memory and reallocate it in a different location after evaluations in
+  // order to improve utilization of the buffers owned in the arena. So, we
+  // explicitly mark our input buffers as persistent to avoid this behavior.
+  for (size_t I = 0; I < Interpreter->inputs().size(); ++I)
+    Interpreter->tensor(I)->allocation_type =
+        TfLiteAllocationType::kTfLiteArenaRwPersistent;
+
   if (!Interpreter ||
       Interpreter->AllocateTensors() != TfLiteStatus::kTfLiteOk) {
     invalidate();


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