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authorDwight Lidman <dwight.lidman@arm.com>2021-07-19 13:43:05 +0200
committertim.hall <tim.hall@arm.com>2021-08-05 12:46:35 +0000
commit8a12da19e247750770bd0c2465d3690c1fcd7316 (patch)
tree7d49a80088464b4d62ac01217f9067a91b6e67f0 /ethosu/vela/tflite/ReshapeOptions.py
parent8ae292931aa9b4677092f51a46c0fb07a8807f89 (diff)
downloadethos-u-vela-8a12da19e247750770bd0c2465d3690c1fcd7316.tar.gz
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
Diffstat (limited to 'ethosu/vela/tflite/ReshapeOptions.py')
-rw-r--r--ethosu/vela/tflite/ReshapeOptions.py11
1 files changed, 11 insertions, 0 deletions
diff --git a/ethosu/vela/tflite/ReshapeOptions.py b/ethosu/vela/tflite/ReshapeOptions.py
index 157d45d9..234f4384 100644
--- a/ethosu/vela/tflite/ReshapeOptions.py
+++ b/ethosu/vela/tflite/ReshapeOptions.py
@@ -3,6 +3,8 @@
# namespace: tflite
import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
class ReshapeOptions(object):
__slots__ = ['_tab']
@@ -14,6 +16,10 @@ class ReshapeOptions(object):
x.Init(buf, n + offset)
return x
+ @classmethod
+ def ReshapeOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+ return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
# ReshapeOptions
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
@@ -40,6 +46,11 @@ class ReshapeOptions(object):
return self._tab.VectorLen(o)
return 0
+ # ReshapeOptions
+ def NewShapeIsNone(self):
+ o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+ return o == 0
+
def ReshapeOptionsStart(builder): builder.StartObject(1)
def ReshapeOptionsAddNewShape(builder, newShape): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(newShape), 0)
def ReshapeOptionsStartNewShapeVector(builder, numElems): return builder.StartVector(4, numElems, 4)