MLBEDSW-8157: Update to TensorFlow 2.15

Updates to TensorFlow 2.15. No StableHLO operators were added to Vela since these are subject to change and have almost no runtime support.

- FlatBuffers version was unchanged.

Change-Id: I9a506a2dcc2e0bc2498742e857bbb6d69b19ac1b
Signed-off-by: William Isaksson <william.isaksson@arm.com>
Signed-off-by: Rickard Bolin <rickard.bolin@arm.com>

1 files changed, 69 insertions, 0 deletions

diff --git a/ethosu/vela/tflite/StablehloBroadcastInDimOptions.py b/ethosu/vela/tflite/StablehloBroadcastInDimOptions.py
new file mode 100644
index 00000000..28c80609
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloBroadcastInDimOptions.py
@@ -0,0 +1,69 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloBroadcastInDimOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloBroadcastInDimOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloBroadcastInDimOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloBroadcastInDimOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloBroadcastInDimOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloBroadcastInDimOptions
+    def BroadcastDimensions(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 8))
+        return 0
+
+    # StablehloBroadcastInDimOptions
+    def BroadcastDimensionsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloBroadcastInDimOptions
+    def BroadcastDimensionsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloBroadcastInDimOptions
+    def BroadcastDimensionsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        return o == 0
+
+def StablehloBroadcastInDimOptionsStart(builder): builder.StartObject(1)
+def Start(builder):
+    return StablehloBroadcastInDimOptionsStart(builder)
+def StablehloBroadcastInDimOptionsAddBroadcastDimensions(builder, broadcastDimensions): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(broadcastDimensions), 0)
+def AddBroadcastDimensions(builder, broadcastDimensions):
+    return StablehloBroadcastInDimOptionsAddBroadcastDimensions(builder, broadcastDimensions)
+def StablehloBroadcastInDimOptionsStartBroadcastDimensionsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartBroadcastDimensionsVector(builder, numElems):
+    return StablehloBroadcastInDimOptionsStartBroadcastDimensionsVector(builder, numElems)
+def StablehloBroadcastInDimOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloBroadcastInDimOptionsEnd(builder)
\ No newline at end of file