MLBEDSW-4854: Update to TensorFlow 2.5
This commit updates the flatbuffers generated code
to comply with TensorFlow 2.5, as well as stripping
away some legacy code.
Signed-off-by: Dwight Lidman <dwight.lidman@arm.com>
Change-Id: I01fe47ec2bde6e78fdde21ee1bc0a71f560c53ae
diff --git a/ethosu/vela/tflite/Uint16Vector.py b/ethosu/vela/tflite/Uint16Vector.py
index 750e52a..247fada 100644
--- a/ethosu/vela/tflite/Uint16Vector.py
+++ b/ethosu/vela/tflite/Uint16Vector.py
@@ -3,6 +3,8 @@
# namespace: tflite
import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
class Uint16Vector(object):
__slots__ = ['_tab']
@@ -14,6 +16,10 @@
x.Init(buf, n + offset)
return x
+ @classmethod
+ def Uint16VectorBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+ return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
# Uint16Vector
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
@@ -40,6 +46,11 @@
return self._tab.VectorLen(o)
return 0
+ # Uint16Vector
+ def ValuesIsNone(self):
+ o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+ return o == 0
+
def Uint16VectorStart(builder): builder.StartObject(1)
def Uint16VectorAddValues(builder, values): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(values), 0)
def Uint16VectorStartValuesVector(builder, numElems): return builder.StartVector(2, numElems, 2)