Update RELEASE.md

rtg0795 · web-flow · commit 0700bbe6e9ea · 2024-02-29T13:50:41.000-08:00
diff --git a/RELEASE.md b/RELEASE.md
@@ -48,6 +48,25 @@
     * Added support for `stablehlo.maximum`.
     * Added support for `stablehlo.minimum`.
     * Added boolean parameter support for `tfl.gather_nd`.
+    * C API:
+        * New API functions:
+            * `tensorflow/lite/c/c_api_experimental.h`:
+                * `TfLiteInterpreterGetVariableTensorCount`
+                * `TfLiteInterpreterGetVariableTensor`
+                * `TfLiteInterpreterGetBufferHandle`
+                * `TfLiteInterpreterSetBufferHandle`
+            * `tensorflow/lite/c/c_api_opaque.h`:
+                * `TfLiteOpaqueTensorSetAllocationTypeToDynamic`
+        * API functions promoted from experimental to stable:
+            * `tensorflow/lite/c/c_api.h`:
+                * `TfLiteInterpreterOptionsEnableCancellation`
+                * `TfLiteInterpreterCancel`
+    * C++ API:
+        * New virtual methods in the `tflite::SimpleDelegateInterface` class in `tensorflow/lite/delegates/utils/simple_delegate.h`,
+          and likewise in the `tflite::SimpleOpaqueDelegateInterface` class in `tensorflow/lite/delegates/utils/simple_opaque_delegate.h`:
+            * `CopyFromBufferHandle`
+            * `CopyToBufferHandle`
+            * `FreeBufferHandle`
 
 * `tf.train.CheckpointOptions` and `tf.saved_model.SaveOptions`
     * These now take in a new argument called `experimental_sharding_callback`. This is a callback function wrapper that will be executed to determine how tensors will be split into shards when the saver writes the checkpoint shards to disk. `tf.train.experimental.ShardByTaskPolicy` is the default sharding behavior, but `tf.train.experimental.MaxShardSizePolicy` can be used to shard the checkpoint with a maximum shard file size. Users with advanced use cases can also write their own custom `tf.train.experimental.ShardingCallback`s.
