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

1 files changed, 38 insertions, 0 deletions

diff --git a/ethosu/vela/tflite/BatchMatMulOptions.py b/ethosu/vela/tflite/BatchMatMulOptions.py
new file mode 100644
index 00000000..5be66835
--- /dev/null
+++ b/ethosu/vela/tflite/BatchMatMulOptions.py
@@ -0,0 +1,38 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class BatchMatMulOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsBatchMatMulOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = BatchMatMulOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # BatchMatMulOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # BatchMatMulOptions
+    def AdjX(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+    # BatchMatMulOptions
+    def AdjY(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+def BatchMatMulOptionsStart(builder): builder.StartObject(2)
+def BatchMatMulOptionsAddAdjX(builder, adjX): builder.PrependBoolSlot(0, adjX, 0)
+def BatchMatMulOptionsAddAdjY(builder, adjY): builder.PrependBoolSlot(1, adjY, 0)
+def BatchMatMulOptionsEnd(builder): return builder.EndObject()