MLBEDSW-2734: TensorFlow 2.3 compatibility
Compiled the new TensorFlow 2.3 schema and added the new Operator
BatchMatMul to tflite_mapping.py.
Signed-off-by: Jacob Bohlin <jacob.bohlin@arm.com>
Change-Id: Ie62517bd56a6497820e4f1ef20326a4fd2ca89b0
diff --git a/ethosu/vela/tflite/UnidirectionalSequenceLSTMOptions.py b/ethosu/vela/tflite/UnidirectionalSequenceLSTMOptions.py
index 1b0c112..b734f3f 100644
--- a/ethosu/vela/tflite/UnidirectionalSequenceLSTMOptions.py
+++ b/ethosu/vela/tflite/UnidirectionalSequenceLSTMOptions.py
@@ -46,9 +46,17 @@
return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
return False
-def UnidirectionalSequenceLSTMOptionsStart(builder): builder.StartObject(4)
+ # UnidirectionalSequenceLSTMOptions
+ def AsymmetricQuantizeInputs(self):
+ o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+ if o != 0:
+ return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+ return False
+
+def UnidirectionalSequenceLSTMOptionsStart(builder): builder.StartObject(5)
def UnidirectionalSequenceLSTMOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
def UnidirectionalSequenceLSTMOptionsAddCellClip(builder, cellClip): builder.PrependFloat32Slot(1, cellClip, 0.0)
def UnidirectionalSequenceLSTMOptionsAddProjClip(builder, projClip): builder.PrependFloat32Slot(2, projClip, 0.0)
def UnidirectionalSequenceLSTMOptionsAddTimeMajor(builder, timeMajor): builder.PrependBoolSlot(3, timeMajor, 0)
+def UnidirectionalSequenceLSTMOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(4, asymmetricQuantizeInputs, 0)
def UnidirectionalSequenceLSTMOptionsEnd(builder): return builder.EndObject()