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>

37 files changed, 2505 insertions, 13 deletions

diff --git a/README.md b/README.md
index 35c8d3a..95e7ddf 100644
--- a/README.md
+++ b/README.md
@@ -50,8 +50,8 @@ optimised operators against that of the corresponding TensorFlow Lite reference
 kernels (or TensorFlow Lite for Microcontrollers reference kernels in the case
 of the UNIDIRECTIONAL_SEQUENCE_LSTM operator).  The following list indicates
 which version is used for comparison:
-
-* Vela 3.10.0 to current supports TensorFlow 2.14
+* Vela 3.11.0 to current supports TensorFlow 2.15
+* Vela 3.10.0 supports TensorFlow 2.14
 * Vela 3.9.0 supports TensorFlow 2.12
 * Vela 3.8.0 supports TensorFlow 2.11
 * Vela 3.6.0 to 3.7.0 supports TensorFlow 2.10
diff --git a/SUPPORTED_OPS.md b/SUPPORTED_OPS.md
index c0e2b0b..b2bd096 100644
--- a/SUPPORTED_OPS.md
+++ b/SUPPORTED_OPS.md
@@ -19,7 +19,7 @@ limitations under the License.
 # Supported Ops
 
 This file was automatically generated by Vela using the `--supported-ops-report` parameter.  
-Vela version: `3.10.0`
+Vela version: `3.11.0.`
 
 This file complies with
 [**Gitiles Markdown syntax**](https://gerrit.googlesource.com/gitiles/+/HEAD/Documentation/markdown.md)
diff --git a/ethosu/vela/operation.py b/ethosu/vela/operation.py
index c9a30b2..9b4149f 100644
--- a/ethosu/vela/operation.py
+++ b/ethosu/vela/operation.py
@@ -337,6 +337,8 @@ class Op(Enum):
     Bitcast = OperatorInfo()
     BitwiseXor = OperatorInfo()
     RightShift = OperatorInfo()
+    Dilate = OperatorInfo()
+    ReduceWindow = OperatorInfo()
 
     @property
     def info(self):
diff --git a/ethosu/vela/tflite/BuiltinOperator.py b/ethosu/vela/tflite/BuiltinOperator.py
index ec2c147..6853f3a 100644
--- a/ethosu/vela/tflite/BuiltinOperator.py
+++ b/ethosu/vela/tflite/BuiltinOperator.py
@@ -165,3 +165,47 @@ class BuiltinOperator(object):
     BITCAST = 159
     BITWISE_XOR = 160
     RIGHT_SHIFT = 161
+    STABLEHLO_LOGISTIC = 162
+    STABLEHLO_ADD = 163
+    STABLEHLO_DIVIDE = 164
+    STABLEHLO_MULTIPLY = 165
+    STABLEHLO_MAXIMUM = 166
+    STABLEHLO_RESHAPE = 167
+    STABLEHLO_CLAMP = 168
+    STABLEHLO_CONCATENATE = 169
+    STABLEHLO_BROADCAST_IN_DIM = 170
+    STABLEHLO_CONVOLUTION = 171
+    STABLEHLO_SLICE = 172
+    STABLEHLO_CUSTOM_CALL = 173
+    STABLEHLO_REDUCE = 174
+    STABLEHLO_ABS = 175
+    STABLEHLO_AND = 176
+    STABLEHLO_COSINE = 177
+    STABLEHLO_EXPONENTIAL = 178
+    STABLEHLO_FLOOR = 179
+    STABLEHLO_LOG = 180
+    STABLEHLO_MINIMUM = 181
+    STABLEHLO_NEGATE = 182
+    STABLEHLO_OR = 183
+    STABLEHLO_POWER = 184
+    STABLEHLO_REMAINDER = 185
+    STABLEHLO_RSQRT = 186
+    STABLEHLO_SELECT = 187
+    STABLEHLO_SUBTRACT = 188
+    STABLEHLO_TANH = 189
+    STABLEHLO_SCATTER = 190
+    STABLEHLO_COMPARE = 191
+    STABLEHLO_CONVERT = 192
+    STABLEHLO_DYNAMIC_SLICE = 193
+    STABLEHLO_DYNAMIC_UPDATE_SLICE = 194
+    STABLEHLO_PAD = 195
+    STABLEHLO_IOTA = 196
+    STABLEHLO_DOT_GENERAL = 197
+    STABLEHLO_REDUCE_WINDOW = 198
+    STABLEHLO_SORT = 199
+    STABLEHLO_WHILE = 200
+    STABLEHLO_GATHER = 201
+    STABLEHLO_TRANSPOSE = 202
+    DILATE = 203
+    STABLEHLO_RNG_BIT_GENERATOR = 204
+    REDUCE_WINDOW = 205
diff --git a/ethosu/vela/tflite/BuiltinOptions2.py b/ethosu/vela/tflite/BuiltinOptions2.py
new file mode 100644
index 0000000..a557e16
--- /dev/null
+++ b/ethosu/vela/tflite/BuiltinOptions2.py
@@ -0,0 +1,26 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class BuiltinOptions2(object):
+    NONE = 0
+    StablehloConcatenateOptions = 1
+    StablehloBroadcastInDimOptions = 2
+    StablehloSliceOptions = 3
+    StablehloConvolutionOptions = 4
+    StablehloCustomCallOptions = 5
+    StablehloReduceOptions = 6
+    StablehloScatterOptions = 7
+    StablehloCompareOptions = 8
+    StablehloDynamicSliceOptions = 9
+    StablehloPadOptions = 10
+    StablehloIotaOptions = 11
+    StablehloDotGeneralOptions = 12
+    StablehloReduceWindowOptions = 13
+    StablehloSortOptions = 14
+    StablehloWhileOptions = 15
+    StablehloGatherOptions = 16
+    StablehloTransposeOptions = 17
+    DilateOptions = 18
+    StablehloRngBitGeneratorOptions = 19
+    ReduceWindowOptions = 20
diff --git a/ethosu/vela/tflite/Conv2DOptions.py b/ethosu/vela/tflite/Conv2DOptions.py
index 5928009..de2be19 100644
--- a/ethosu/vela/tflite/Conv2DOptions.py
+++ b/ethosu/vela/tflite/Conv2DOptions.py
@@ -70,7 +70,14 @@ class Conv2DOptions(object):
             return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
         return 1
 
-def Conv2DOptionsStart(builder): builder.StartObject(6)
+    # Conv2DOptions
+    def QuantizedBiasType(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def Conv2DOptionsStart(builder): builder.StartObject(7)
 def Start(builder):
     return Conv2DOptionsStart(builder)
 def Conv2DOptionsAddPadding(builder, padding): builder.PrependInt8Slot(0, padding, 0)
@@ -91,6 +98,9 @@ def AddDilationWFactor(builder, dilationWFactor):
 def Conv2DOptionsAddDilationHFactor(builder, dilationHFactor): builder.PrependInt32Slot(5, dilationHFactor, 1)
 def AddDilationHFactor(builder, dilationHFactor):
     return Conv2DOptionsAddDilationHFactor(builder, dilationHFactor)
+def Conv2DOptionsAddQuantizedBiasType(builder, quantizedBiasType): builder.PrependInt8Slot(6, quantizedBiasType, 0)
+def AddQuantizedBiasType(builder, quantizedBiasType):
+    return Conv2DOptionsAddQuantizedBiasType(builder, quantizedBiasType)
 def Conv2DOptionsEnd(builder): return builder.EndObject()
 def End(builder):
     return Conv2DOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/DilateOptions.py b/ethosu/vela/tflite/DilateOptions.py
new file mode 100644
index 0000000..5fa3bfa
--- /dev/null
+++ b/ethosu/vela/tflite/DilateOptions.py
@@ -0,0 +1,36 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class DilateOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = DilateOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsDilateOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def DilateOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # DilateOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def DilateOptionsStart(builder): builder.StartObject(0)
+def Start(builder):
+    return DilateOptionsStart(builder)
+def DilateOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return DilateOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/FullyConnectedOptions.py b/ethosu/vela/tflite/FullyConnectedOptions.py
index 67ca53c..1ac220c 100644
--- a/ethosu/vela/tflite/FullyConnectedOptions.py
+++ b/ethosu/vela/tflite/FullyConnectedOptions.py
@@ -56,7 +56,14 @@ class FullyConnectedOptions(object):
             return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
         return False
 
-def FullyConnectedOptionsStart(builder): builder.StartObject(4)
+    # FullyConnectedOptions
+    def QuantizedBiasType(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def FullyConnectedOptionsStart(builder): builder.StartObject(5)
 def Start(builder):
     return FullyConnectedOptionsStart(builder)
 def FullyConnectedOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
@@ -71,6 +78,9 @@ def AddKeepNumDims(builder, keepNumDims):
 def FullyConnectedOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs): builder.PrependBoolSlot(3, asymmetricQuantizeInputs, 0)
 def AddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs):
     return FullyConnectedOptionsAddAsymmetricQuantizeInputs(builder, asymmetricQuantizeInputs)
+def FullyConnectedOptionsAddQuantizedBiasType(builder, quantizedBiasType): builder.PrependInt8Slot(4, quantizedBiasType, 0)
+def AddQuantizedBiasType(builder, quantizedBiasType):
+    return FullyConnectedOptionsAddQuantizedBiasType(builder, quantizedBiasType)
 def FullyConnectedOptionsEnd(builder): return builder.EndObject()
 def End(builder):
     return FullyConnectedOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/Operator.py b/ethosu/vela/tflite/Operator.py
index 23d787b..a0b5a54 100644
--- a/ethosu/vela/tflite/Operator.py
+++ b/ethosu/vela/tflite/Operator.py
@@ -208,7 +208,24 @@ class Operator(object):
             return self._tab.Get(flatbuffers.number_types.Uint64Flags, o + self._tab.Pos)
         return 0
 
-def OperatorStart(builder): builder.StartObject(11)
+    # Operator
+    def BuiltinOptions2Type(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(26))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos)
+        return 0
+
+    # Operator
+    def BuiltinOptions2(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(28))
+        if o != 0:
+            from flatbuffers.table import Table
+            obj = Table(bytearray(), 0)
+            self._tab.Union(obj, o)
+            return obj
+        return None
+
+def OperatorStart(builder): builder.StartObject(13)
 def Start(builder):
     return OperatorStart(builder)
 def OperatorAddOpcodeIndex(builder, opcodeIndex): builder.PrependUint32Slot(0, opcodeIndex, 0)
@@ -259,6 +276,12 @@ def AddLargeCustomOptionsOffset(builder, largeCustomOptionsOffset):
 def OperatorAddLargeCustomOptionsSize(builder, largeCustomOptionsSize): builder.PrependUint64Slot(10, largeCustomOptionsSize, 0)
 def AddLargeCustomOptionsSize(builder, largeCustomOptionsSize):
     return OperatorAddLargeCustomOptionsSize(builder, largeCustomOptionsSize)
+def OperatorAddBuiltinOptions2Type(builder, builtinOptions2Type): builder.PrependUint8Slot(11, builtinOptions2Type, 0)
+def AddBuiltinOptions2Type(builder, builtinOptions2Type):
+    return OperatorAddBuiltinOptions2Type(builder, builtinOptions2Type)
+def OperatorAddBuiltinOptions2(builder, builtinOptions2): builder.PrependUOffsetTRelativeSlot(12, flatbuffers.number_types.UOffsetTFlags.py_type(builtinOptions2), 0)
+def AddBuiltinOptions2(builder, builtinOptions2):
+    return OperatorAddBuiltinOptions2(builder, builtinOptions2)
 def OperatorEnd(builder): return builder.EndObject()
 def End(builder):
     return OperatorEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/ReduceWindowFunction.py b/ethosu/vela/tflite/ReduceWindowFunction.py
new file mode 100644
index 0000000..65dea2e
--- /dev/null
+++ b/ethosu/vela/tflite/ReduceWindowFunction.py
@@ -0,0 +1,12 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class ReduceWindowFunction(object):
+    UNSUPPORTED = 0
+    ADD = 1
+    MUL = 2
+    MINIMUM = 3
+    MAXIMUM = 4
+    ALL = 5
+    ANY = 6
diff --git a/ethosu/vela/tflite/ReduceWindowOptions.py b/ethosu/vela/tflite/ReduceWindowOptions.py
new file mode 100644
index 0000000..a952bee
--- /dev/null
+++ b/ethosu/vela/tflite/ReduceWindowOptions.py
@@ -0,0 +1,46 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class ReduceWindowOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ReduceWindowOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsReduceWindowOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def ReduceWindowOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # ReduceWindowOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # ReduceWindowOptions
+    def ReduceFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def ReduceWindowOptionsStart(builder): builder.StartObject(1)
+def Start(builder):
+    return ReduceWindowOptionsStart(builder)
+def ReduceWindowOptionsAddReduceFunction(builder, reduceFunction): builder.PrependInt32Slot(0, reduceFunction, 0)
+def AddReduceFunction(builder, reduceFunction):
+    return ReduceWindowOptionsAddReduceFunction(builder, reduceFunction)
+def ReduceWindowOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return ReduceWindowOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/RngAlgorithm.py b/ethosu/vela/tflite/RngAlgorithm.py
new file mode 100644
index 0000000..704c05e
--- /dev/null
+++ b/ethosu/vela/tflite/RngAlgorithm.py
@@ -0,0 +1,8 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class RngAlgorithm(object):
+    DEFAULT = 0
+    PHILOX = 1
+    THREEFRY = 2
diff --git a/ethosu/vela/tflite/StablehloBroadcastInDimOptions.py b/ethosu/vela/tflite/StablehloBroadcastInDimOptions.py
new file mode 100644
index 0000000..28c8060
--- /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
diff --git a/ethosu/vela/tflite/StablehloCompareOptions.py b/ethosu/vela/tflite/StablehloCompareOptions.py
new file mode 100644
index 0000000..6d3363b
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloCompareOptions.py
@@ -0,0 +1,56 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloCompareOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloCompareOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloCompareOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloCompareOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloCompareOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloCompareOptions
+    def ComparisonDirection(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloCompareOptions
+    def CompareType(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
+        return 0
+
+def StablehloCompareOptionsStart(builder): builder.StartObject(2)
+def Start(builder):
+    return StablehloCompareOptionsStart(builder)
+def StablehloCompareOptionsAddComparisonDirection(builder, comparisonDirection): builder.PrependUint32Slot(0, comparisonDirection, 0)
+def AddComparisonDirection(builder, comparisonDirection):
+    return StablehloCompareOptionsAddComparisonDirection(builder, comparisonDirection)
+def StablehloCompareOptionsAddCompareType(builder, compareType): builder.PrependUint32Slot(1, compareType, 0)
+def AddCompareType(builder, compareType):
+    return StablehloCompareOptionsAddCompareType(builder, compareType)
+def StablehloCompareOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloCompareOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloComparisonDirection.py b/ethosu/vela/tflite/StablehloComparisonDirection.py
new file mode 100644
index 0000000..5757a15
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloComparisonDirection.py
@@ -0,0 +1,11 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class StablehloComparisonDirection(object):
+    STABLEHLO_COMPARISON_DIRECTION_EQ = 0
+    STABLEHLO_COMPARISON_DIRECTION_NE = 1
+    STABLEHLO_COMPARISON_DIRECTION_GE = 2
+    STABLEHLO_COMPARISON_DIRECTION_GT = 3
+    STABLEHLO_COMPARISON_DIRECTION_LE = 4
+    STABLEHLO_COMPARISON_DIRECTION_LT = 5
diff --git a/ethosu/vela/tflite/StablehloComparisonType.py b/ethosu/vela/tflite/StablehloComparisonType.py
new file mode 100644
index 0000000..a3e2701
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloComparisonType.py
@@ -0,0 +1,10 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class StablehloComparisonType(object):
+    STABLEHLO_COMPARISON_TYPE_NOTYPE = 0
+    STABLEHLO_COMPARISON_TYPE_FLOAT = 1
+    STABLEHLO_COMPARISON_TYPE_FLOAT_TOTAL_ORDER = 2
+    STABLEHLO_COMPARISON_TYPE_SIGNED = 3
+    STABLEHLO_COMPARISON_TYPE_UNSIGNED = 4
diff --git a/ethosu/vela/tflite/StablehloConcatenateOptions.py b/ethosu/vela/tflite/StablehloConcatenateOptions.py
new file mode 100644
index 0000000..4a9f0c7
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloConcatenateOptions.py
@@ -0,0 +1,46 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloConcatenateOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloConcatenateOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloConcatenateOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloConcatenateOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloConcatenateOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloConcatenateOptions
+    def Dimension(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
+        return 0
+
+def StablehloConcatenateOptionsStart(builder): builder.StartObject(1)
+def Start(builder):
+    return StablehloConcatenateOptionsStart(builder)
+def StablehloConcatenateOptionsAddDimension(builder, dimension): builder.PrependInt64Slot(0, dimension, 0)
+def AddDimension(builder, dimension):
+    return StablehloConcatenateOptionsAddDimension(builder, dimension)
+def StablehloConcatenateOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloConcatenateOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloConvolutionOptions.py b/ethosu/vela/tflite/StablehloConvolutionOptions.py
new file mode 100644
index 0000000..2ab3fab
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloConvolutionOptions.py
@@ -0,0 +1,413 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloConvolutionOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloConvolutionOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloConvolutionOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloConvolutionOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloConvolutionOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloConvolutionOptions
+    def WindowStrides(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
+
+    # StablehloConvolutionOptions
+    def WindowStridesAsNumpy(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
+
+    # StablehloConvolutionOptions
+    def WindowStridesLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def WindowStridesIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        return o == 0
+
+    # StablehloConvolutionOptions
+    def Padding(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        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
+
+    # StablehloConvolutionOptions
+    def PaddingAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def PaddingLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def PaddingIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        return o == 0
+
+    # StablehloConvolutionOptions
+    def LhsDilation(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        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
+
+    # StablehloConvolutionOptions
+    def LhsDilationAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def LhsDilationLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def LhsDilationIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        return o == 0
+
+    # StablehloConvolutionOptions
+    def RhsDilation(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        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
+
+    # StablehloConvolutionOptions
+    def RhsDilationAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def RhsDilationLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def RhsDilationIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        return o == 0
+
+    # StablehloConvolutionOptions
+    def WindowReversal(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.BoolFlags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
+        return 0
+
+    # StablehloConvolutionOptions
+    def WindowReversalAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.BoolFlags, o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def WindowReversalLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def WindowReversalIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        return o == 0
+
+    # StablehloConvolutionOptions
+    def InputBatchDimension(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloConvolutionOptions
+    def InputFeatureDimension(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloConvolutionOptions
+    def InputSpatialDimensions(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
+        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
+
+    # StablehloConvolutionOptions
+    def InputSpatialDimensionsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def InputSpatialDimensionsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def InputSpatialDimensionsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
+        return o == 0
+
+    # StablehloConvolutionOptions
+    def KernelInputFeatureDimension(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(20))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloConvolutionOptions
+    def KernelOutputFeatureDimension(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(22))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloConvolutionOptions
+    def KernelSpatialDimensions(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(24))
+        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
+
+    # StablehloConvolutionOptions
+    def KernelSpatialDimensionsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(24))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def KernelSpatialDimensionsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(24))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def KernelSpatialDimensionsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(24))
+        return o == 0
+
+    # StablehloConvolutionOptions
+    def OutputBatchDimension(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(26))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloConvolutionOptions
+    def OutputFeatureDimension(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(28))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloConvolutionOptions
+    def OutputSpatialDimensions(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(30))
+        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
+
+    # StablehloConvolutionOptions
+    def OutputSpatialDimensionsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(30))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def OutputSpatialDimensionsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(30))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def OutputSpatialDimensionsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(30))
+        return o == 0
+
+    # StablehloConvolutionOptions
+    def FeatureGroupCount(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(32))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloConvolutionOptions
+    def BatchGroupCount(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(34))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloConvolutionOptions
+    def PrecisionConfig(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(36))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Uint32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # StablehloConvolutionOptions
+    def PrecisionConfigAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(36))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint32Flags, o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def PrecisionConfigLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(36))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloConvolutionOptions
+    def PrecisionConfigIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(36))
+        return o == 0
+
+def StablehloConvolutionOptionsStart(builder): builder.StartObject(17)
+def Start(builder):
+    return StablehloConvolutionOptionsStart(builder)
+def StablehloConvolutionOptionsAddWindowStrides(builder, windowStrides): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(windowStrides), 0)
+def AddWindowStrides(builder, windowStrides):
+    return StablehloConvolutionOptionsAddWindowStrides(builder, windowStrides)
+def StablehloConvolutionOptionsStartWindowStridesVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartWindowStridesVector(builder, numElems):
+    return StablehloConvolutionOptionsStartWindowStridesVector(builder, numElems)
+def StablehloConvolutionOptionsAddPadding(builder, padding): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(padding), 0)
+def AddPadding(builder, padding):
+    return StablehloConvolutionOptionsAddPadding(builder, padding)
+def StablehloConvolutionOptionsStartPaddingVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartPaddingVector(builder, numElems):
+    return StablehloConvolutionOptionsStartPaddingVector(builder, numElems)
+def StablehloConvolutionOptionsAddLhsDilation(builder, lhsDilation): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(lhsDilation), 0)
+def AddLhsDilation(builder, lhsDilation):
+    return StablehloConvolutionOptionsAddLhsDilation(builder, lhsDilation)
+def StablehloConvolutionOptionsStartLhsDilationVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartLhsDilationVector(builder, numElems):
+    return StablehloConvolutionOptionsStartLhsDilationVector(builder, numElems)
+def StablehloConvolutionOptionsAddRhsDilation(builder, rhsDilation): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(rhsDilation), 0)
+def AddRhsDilation(builder, rhsDilation):
+    return StablehloConvolutionOptionsAddRhsDilation(builder, rhsDilation)
+def StablehloConvolutionOptionsStartRhsDilationVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartRhsDilationVector(builder, numElems):
+    return StablehloConvolutionOptionsStartRhsDilationVector(builder, numElems)
+def StablehloConvolutionOptionsAddWindowReversal(builder, windowReversal): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(windowReversal), 0)
+def AddWindowReversal(builder, windowReversal):
+    return StablehloConvolutionOptionsAddWindowReversal(builder, windowReversal)
+def StablehloConvolutionOptionsStartWindowReversalVector(builder, numElems): return builder.StartVector(1, numElems, 1)
+def StartWindowReversalVector(builder, numElems):
+    return StablehloConvolutionOptionsStartWindowReversalVector(builder, numElems)
+def StablehloConvolutionOptionsAddInputBatchDimension(builder, inputBatchDimension): builder.PrependInt64Slot(5, inputBatchDimension, 0)
+def AddInputBatchDimension(builder, inputBatchDimension):
+    return StablehloConvolutionOptionsAddInputBatchDimension(builder, inputBatchDimension)
+def StablehloConvolutionOptionsAddInputFeatureDimension(builder, inputFeatureDimension): builder.PrependInt64Slot(6, inputFeatureDimension, 0)
+def AddInputFeatureDimension(builder, inputFeatureDimension):
+    return StablehloConvolutionOptionsAddInputFeatureDimension(builder, inputFeatureDimension)
+def StablehloConvolutionOptionsAddInputSpatialDimensions(builder, inputSpatialDimensions): builder.PrependUOffsetTRelativeSlot(7, flatbuffers.number_types.UOffsetTFlags.py_type(inputSpatialDimensions), 0)
+def AddInputSpatialDimensions(builder, inputSpatialDimensions):
+    return StablehloConvolutionOptionsAddInputSpatialDimensions(builder, inputSpatialDimensions)
+def StablehloConvolutionOptionsStartInputSpatialDimensionsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartInputSpatialDimensionsVector(builder, numElems):
+    return StablehloConvolutionOptionsStartInputSpatialDimensionsVector(builder, numElems)
+def StablehloConvolutionOptionsAddKernelInputFeatureDimension(builder, kernelInputFeatureDimension): builder.PrependInt64Slot(8, kernelInputFeatureDimension, 0)
+def AddKernelInputFeatureDimension(builder, kernelInputFeatureDimension):
+    return StablehloConvolutionOptionsAddKernelInputFeatureDimension(builder, kernelInputFeatureDimension)
+def StablehloConvolutionOptionsAddKernelOutputFeatureDimension(builder, kernelOutputFeatureDimension): builder.PrependInt64Slot(9, kernelOutputFeatureDimension, 0)
+def AddKernelOutputFeatureDimension(builder, kernelOutputFeatureDimension):
+    return StablehloConvolutionOptionsAddKernelOutputFeatureDimension(builder, kernelOutputFeatureDimension)
+def StablehloConvolutionOptionsAddKernelSpatialDimensions(builder, kernelSpatialDimensions): builder.PrependUOffsetTRelativeSlot(10, flatbuffers.number_types.UOffsetTFlags.py_type(kernelSpatialDimensions), 0)
+def AddKernelSpatialDimensions(builder, kernelSpatialDimensions):
+    return StablehloConvolutionOptionsAddKernelSpatialDimensions(builder, kernelSpatialDimensions)
+def StablehloConvolutionOptionsStartKernelSpatialDimensionsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartKernelSpatialDimensionsVector(builder, numElems):
+    return StablehloConvolutionOptionsStartKernelSpatialDimensionsVector(builder, numElems)
+def StablehloConvolutionOptionsAddOutputBatchDimension(builder, outputBatchDimension): builder.PrependInt64Slot(11, outputBatchDimension, 0)
+def AddOutputBatchDimension(builder, outputBatchDimension):
+    return StablehloConvolutionOptionsAddOutputBatchDimension(builder, outputBatchDimension)
+def StablehloConvolutionOptionsAddOutputFeatureDimension(builder, outputFeatureDimension): builder.PrependInt64Slot(12, outputFeatureDimension, 0)
+def AddOutputFeatureDimension(builder, outputFeatureDimension):
+    return StablehloConvolutionOptionsAddOutputFeatureDimension(builder, outputFeatureDimension)
+def StablehloConvolutionOptionsAddOutputSpatialDimensions(builder, outputSpatialDimensions): builder.PrependUOffsetTRelativeSlot(13, flatbuffers.number_types.UOffsetTFlags.py_type(outputSpatialDimensions), 0)
+def AddOutputSpatialDimensions(builder, outputSpatialDimensions):
+    return StablehloConvolutionOptionsAddOutputSpatialDimensions(builder, outputSpatialDimensions)
+def StablehloConvolutionOptionsStartOutputSpatialDimensionsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartOutputSpatialDimensionsVector(builder, numElems):
+    return StablehloConvolutionOptionsStartOutputSpatialDimensionsVector(builder, numElems)
+def StablehloConvolutionOptionsAddFeatureGroupCount(builder, featureGroupCount): builder.PrependInt64Slot(14, featureGroupCount, 0)
+def AddFeatureGroupCount(builder, featureGroupCount):
+    return StablehloConvolutionOptionsAddFeatureGroupCount(builder, featureGroupCount)
+def StablehloConvolutionOptionsAddBatchGroupCount(builder, batchGroupCount): builder.PrependInt64Slot(15, batchGroupCount, 0)
+def AddBatchGroupCount(builder, batchGroupCount):
+    return StablehloConvolutionOptionsAddBatchGroupCount(builder, batchGroupCount)
+def StablehloConvolutionOptionsAddPrecisionConfig(builder, precisionConfig): builder.PrependUOffsetTRelativeSlot(16, flatbuffers.number_types.UOffsetTFlags.py_type(precisionConfig), 0)
+def AddPrecisionConfig(builder, precisionConfig):
+    return StablehloConvolutionOptionsAddPrecisionConfig(builder, precisionConfig)
+def StablehloConvolutionOptionsStartPrecisionConfigVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def StartPrecisionConfigVector(builder, numElems):
+    return StablehloConvolutionOptionsStartPrecisionConfigVector(builder, numElems)
+def StablehloConvolutionOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloConvolutionOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloCustomCallOptions.py b/ethosu/vela/tflite/StablehloCustomCallOptions.py
new file mode 100644
index 0000000..f903b1c
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloCustomCallOptions.py
@@ -0,0 +1,142 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloCustomCallOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloCustomCallOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloCustomCallOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloCustomCallOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloCustomCallOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloCustomCallOptions
+    def CallTargetName(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.String(o + self._tab.Pos)
+        return None
+
+    # StablehloCustomCallOptions
+    def HasSideEffect(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
+
+    # StablehloCustomCallOptions
+    def BackendConfig(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.String(o + self._tab.Pos)
+        return None
+
+    # StablehloCustomCallOptions
+    def ApiVersion(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloCustomCallOptions
+    def CalledComputations(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # StablehloCustomCallOptions
+    def CalledComputationsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
+        return 0
+
+    # StablehloCustomCallOptions
+    def CalledComputationsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloCustomCallOptions
+    def CalledComputationsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        return o == 0
+
+    # StablehloCustomCallOptions
+    def CustomAttributes(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Uint8Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
+        return 0
+
+    # StablehloCustomCallOptions
+    def CustomAttributesAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint8Flags, o)
+        return 0
+
+    # StablehloCustomCallOptions
+    def CustomAttributesLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloCustomCallOptions
+    def CustomAttributesIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        return o == 0
+
+def StablehloCustomCallOptionsStart(builder): builder.StartObject(6)
+def Start(builder):
+    return StablehloCustomCallOptionsStart(builder)
+def StablehloCustomCallOptionsAddCallTargetName(builder, callTargetName): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(callTargetName), 0)
+def AddCallTargetName(builder, callTargetName):
+    return StablehloCustomCallOptionsAddCallTargetName(builder, callTargetName)
+def StablehloCustomCallOptionsAddHasSideEffect(builder, hasSideEffect): builder.PrependBoolSlot(1, hasSideEffect, 0)
+def AddHasSideEffect(builder, hasSideEffect):
+    return StablehloCustomCallOptionsAddHasSideEffect(builder, hasSideEffect)
+def StablehloCustomCallOptionsAddBackendConfig(builder, backendConfig): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(backendConfig), 0)
+def AddBackendConfig(builder, backendConfig):
+    return StablehloCustomCallOptionsAddBackendConfig(builder, backendConfig)
+def StablehloCustomCallOptionsAddApiVersion(builder, apiVersion): builder.PrependInt32Slot(3, apiVersion, 0)
+def AddApiVersion(builder, apiVersion):
+    return StablehloCustomCallOptionsAddApiVersion(builder, apiVersion)
+def StablehloCustomCallOptionsAddCalledComputations(builder, calledComputations): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(calledComputations), 0)
+def AddCalledComputations(builder, calledComputations):
+    return StablehloCustomCallOptionsAddCalledComputations(builder, calledComputations)
+def StablehloCustomCallOptionsStartCalledComputationsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def StartCalledComputationsVector(builder, numElems):
+    return StablehloCustomCallOptionsStartCalledComputationsVector(builder, numElems)
+def StablehloCustomCallOptionsAddCustomAttributes(builder, customAttributes): builder.PrependUOffsetTRelativeSlot(5, flatbuffers.number_types.UOffsetTFlags.py_type(customAttributes), 0)
+def AddCustomAttributes(builder, customAttributes):
+    return StablehloCustomCallOptionsAddCustomAttributes(builder, customAttributes)
+def StablehloCustomCallOptionsStartCustomAttributesVector(builder, numElems): return builder.StartVector(1, numElems, 1)
+def StartCustomAttributesVector(builder, numElems):
+    return StablehloCustomCallOptionsStartCustomAttributesVector(builder, numElems)
+def StablehloCustomCallOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloCustomCallOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloDotGeneralOptions.py b/ethosu/vela/tflite/StablehloDotGeneralOptions.py
new file mode 100644
index 0000000..f369c0d
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloDotGeneralOptions.py
@@ -0,0 +1,201 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloDotGeneralOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloDotGeneralOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloDotGeneralOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloDotGeneralOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloDotGeneralOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloDotGeneralOptions
+    def LhsBatchingDimensions(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
+
+    # StablehloDotGeneralOptions
+    def LhsBatchingDimensionsAsNumpy(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
+
+    # StablehloDotGeneralOptions
+    def LhsBatchingDimensionsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloDotGeneralOptions
+    def LhsBatchingDimensionsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        return o == 0
+
+    # StablehloDotGeneralOptions
+    def RhsBatchingDimensions(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        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
+
+    # StablehloDotGeneralOptions
+    def RhsBatchingDimensionsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloDotGeneralOptions
+    def RhsBatchingDimensionsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloDotGeneralOptions
+    def RhsBatchingDimensionsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        return o == 0
+
+    # StablehloDotGeneralOptions
+    def LhsContractingDimensions(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        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
+
+    # StablehloDotGeneralOptions
+    def LhsContractingDimensionsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloDotGeneralOptions
+    def LhsContractingDimensionsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloDotGeneralOptions
+    def LhsContractingDimensionsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        return o == 0
+
+    # StablehloDotGeneralOptions
+    def RhsContractingDimensions(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        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
+
+    # StablehloDotGeneralOptions
+    def RhsContractingDimensionsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloDotGeneralOptions
+    def RhsContractingDimensionsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloDotGeneralOptions
+    def RhsContractingDimensionsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        return o == 0
+
+    # StablehloDotGeneralOptions
+    def PrecisionConfig(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Uint32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # StablehloDotGeneralOptions
+    def PrecisionConfigAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint32Flags, o)
+        return 0
+
+    # StablehloDotGeneralOptions
+    def PrecisionConfigLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloDotGeneralOptions
+    def PrecisionConfigIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        return o == 0
+
+def StablehloDotGeneralOptionsStart(builder): builder.StartObject(5)
+def Start(builder):
+    return StablehloDotGeneralOptionsStart(builder)
+def StablehloDotGeneralOptionsAddLhsBatchingDimensions(builder, lhsBatchingDimensions): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(lhsBatchingDimensions), 0)
+def AddLhsBatchingDimensions(builder, lhsBatchingDimensions):
+    return StablehloDotGeneralOptionsAddLhsBatchingDimensions(builder, lhsBatchingDimensions)
+def StablehloDotGeneralOptionsStartLhsBatchingDimensionsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartLhsBatchingDimensionsVector(builder, numElems):
+    return StablehloDotGeneralOptionsStartLhsBatchingDimensionsVector(builder, numElems)
+def StablehloDotGeneralOptionsAddRhsBatchingDimensions(builder, rhsBatchingDimensions): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(rhsBatchingDimensions), 0)
+def AddRhsBatchingDimensions(builder, rhsBatchingDimensions):
+    return StablehloDotGeneralOptionsAddRhsBatchingDimensions(builder, rhsBatchingDimensions)
+def StablehloDotGeneralOptionsStartRhsBatchingDimensionsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartRhsBatchingDimensionsVector(builder, numElems):
+    return StablehloDotGeneralOptionsStartRhsBatchingDimensionsVector(builder, numElems)
+def StablehloDotGeneralOptionsAddLhsContractingDimensions(builder, lhsContractingDimensions): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(lhsContractingDimensions), 0)
+def AddLhsContractingDimensions(builder, lhsContractingDimensions):
+    return StablehloDotGeneralOptionsAddLhsContractingDimensions(builder, lhsContractingDimensions)
+def StablehloDotGeneralOptionsStartLhsContractingDimensionsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartLhsContractingDimensionsVector(builder, numElems):
+    return StablehloDotGeneralOptionsStartLhsContractingDimensionsVector(builder, numElems)
+def StablehloDotGeneralOptionsAddRhsContractingDimensions(builder, rhsContractingDimensions): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(rhsContractingDimensions), 0)
+def AddRhsContractingDimensions(builder, rhsContractingDimensions):
+    return StablehloDotGeneralOptionsAddRhsContractingDimensions(builder, rhsContractingDimensions)
+def StablehloDotGeneralOptionsStartRhsContractingDimensionsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartRhsContractingDimensionsVector(builder, numElems):
+    return StablehloDotGeneralOptionsStartRhsContractingDimensionsVector(builder, numElems)
+def StablehloDotGeneralOptionsAddPrecisionConfig(builder, precisionConfig): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(precisionConfig), 0)
+def AddPrecisionConfig(builder, precisionConfig):
+    return StablehloDotGeneralOptionsAddPrecisionConfig(builder, precisionConfig)
+def StablehloDotGeneralOptionsStartPrecisionConfigVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def StartPrecisionConfigVector(builder, numElems):
+    return StablehloDotGeneralOptionsStartPrecisionConfigVector(builder, numElems)
+def StablehloDotGeneralOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloDotGeneralOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloDynamicSliceOptions.py b/ethosu/vela/tflite/StablehloDynamicSliceOptions.py
new file mode 100644
index 0000000..fabd125
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloDynamicSliceOptions.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 StablehloDynamicSliceOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloDynamicSliceOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloDynamicSliceOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloDynamicSliceOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloDynamicSliceOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloDynamicSliceOptions
+    def SliceSizes(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
+
+    # StablehloDynamicSliceOptions
+    def SliceSizesAsNumpy(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
+
+    # StablehloDynamicSliceOptions
+    def SliceSizesLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloDynamicSliceOptions
+    def SliceSizesIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        return o == 0
+
+def StablehloDynamicSliceOptionsStart(builder): builder.StartObject(1)
+def Start(builder):
+    return StablehloDynamicSliceOptionsStart(builder)
+def StablehloDynamicSliceOptionsAddSliceSizes(builder, sliceSizes): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(sliceSizes), 0)
+def AddSliceSizes(builder, sliceSizes):
+    return StablehloDynamicSliceOptionsAddSliceSizes(builder, sliceSizes)
+def StablehloDynamicSliceOptionsStartSliceSizesVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartSliceSizesVector(builder, numElems):
+    return StablehloDynamicSliceOptionsStartSliceSizesVector(builder, numElems)
+def StablehloDynamicSliceOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloDynamicSliceOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloGatherOptions.py b/ethosu/vela/tflite/StablehloGatherOptions.py
new file mode 100644
index 0000000..e2668c1
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloGatherOptions.py
@@ -0,0 +1,188 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloGatherOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloGatherOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloGatherOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloGatherOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloGatherOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloGatherOptions
+    def OffsetDims(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
+
+    # StablehloGatherOptions
+    def OffsetDimsAsNumpy(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
+
+    # StablehloGatherOptions
+    def OffsetDimsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloGatherOptions
+    def OffsetDimsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        return o == 0
+
+    # StablehloGatherOptions
+    def CollapsedSliceDims(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        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
+
+    # StablehloGatherOptions
+    def CollapsedSliceDimsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloGatherOptions
+    def CollapsedSliceDimsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloGatherOptions
+    def CollapsedSliceDimsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        return o == 0
+
+    # StablehloGatherOptions
+    def StartIndexMap(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        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
+
+    # StablehloGatherOptions
+    def StartIndexMapAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloGatherOptions
+    def StartIndexMapLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloGatherOptions
+    def StartIndexMapIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        return o == 0
+
+    # StablehloGatherOptions
+    def IndexVectorDim(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloGatherOptions
+    def SliceSizes(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        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
+
+    # StablehloGatherOptions
+    def SliceSizesAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloGatherOptions
+    def SliceSizesLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloGatherOptions
+    def SliceSizesIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        return o == 0
+
+    # StablehloGatherOptions
+    def IndicesAreSorted(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+def StablehloGatherOptionsStart(builder): builder.StartObject(6)
+def Start(builder):
+    return StablehloGatherOptionsStart(builder)
+def StablehloGatherOptionsAddOffsetDims(builder, offsetDims): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(offsetDims), 0)
+def AddOffsetDims(builder, offsetDims):
+    return StablehloGatherOptionsAddOffsetDims(builder, offsetDims)
+def StablehloGatherOptionsStartOffsetDimsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartOffsetDimsVector(builder, numElems):
+    return StablehloGatherOptionsStartOffsetDimsVector(builder, numElems)
+def StablehloGatherOptionsAddCollapsedSliceDims(builder, collapsedSliceDims): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(collapsedSliceDims), 0)
+def AddCollapsedSliceDims(builder, collapsedSliceDims):
+    return StablehloGatherOptionsAddCollapsedSliceDims(builder, collapsedSliceDims)
+def StablehloGatherOptionsStartCollapsedSliceDimsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartCollapsedSliceDimsVector(builder, numElems):
+    return StablehloGatherOptionsStartCollapsedSliceDimsVector(builder, numElems)
+def StablehloGatherOptionsAddStartIndexMap(builder, startIndexMap): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(startIndexMap), 0)
+def AddStartIndexMap(builder, startIndexMap):
+    return StablehloGatherOptionsAddStartIndexMap(builder, startIndexMap)
+def StablehloGatherOptionsStartStartIndexMapVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartStartIndexMapVector(builder, numElems):
+    return StablehloGatherOptionsStartStartIndexMapVector(builder, numElems)
+def StablehloGatherOptionsAddIndexVectorDim(builder, indexVectorDim): builder.PrependInt64Slot(3, indexVectorDim, 0)
+def AddIndexVectorDim(builder, indexVectorDim):
+    return StablehloGatherOptionsAddIndexVectorDim(builder, indexVectorDim)
+def StablehloGatherOptionsAddSliceSizes(builder, sliceSizes): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(sliceSizes), 0)
+def AddSliceSizes(builder, sliceSizes):
+    return StablehloGatherOptionsAddSliceSizes(builder, sliceSizes)
+def StablehloGatherOptionsStartSliceSizesVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartSliceSizesVector(builder, numElems):
+    return StablehloGatherOptionsStartSliceSizesVector(builder, numElems)
+def StablehloGatherOptionsAddIndicesAreSorted(builder, indicesAreSorted): builder.PrependBoolSlot(5, indicesAreSorted, 0)
+def AddIndicesAreSorted(builder, indicesAreSorted):
+    return StablehloGatherOptionsAddIndicesAreSorted(builder, indicesAreSorted)
+def StablehloGatherOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloGatherOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloIotaOptions.py b/ethosu/vela/tflite/StablehloIotaOptions.py
new file mode 100644
index 0000000..147cac0
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloIotaOptions.py
@@ -0,0 +1,46 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloIotaOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloIotaOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloIotaOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloIotaOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloIotaOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloIotaOptions
+    def IotaDimension(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
+        return 0
+
+def StablehloIotaOptionsStart(builder): builder.StartObject(1)
+def Start(builder):
+    return StablehloIotaOptionsStart(builder)
+def StablehloIotaOptionsAddIotaDimension(builder, iotaDimension): builder.PrependInt64Slot(0, iotaDimension, 0)
+def AddIotaDimension(builder, iotaDimension):
+    return StablehloIotaOptionsAddIotaDimension(builder, iotaDimension)
+def StablehloIotaOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloIotaOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloPadOptions.py b/ethosu/vela/tflite/StablehloPadOptions.py
new file mode 100644
index 0000000..acf69ec
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloPadOptions.py
@@ -0,0 +1,135 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloPadOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloPadOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloPadOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloPadOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloPadOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloPadOptions
+    def EdgePaddingLow(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
+
+    # StablehloPadOptions
+    def EdgePaddingLowAsNumpy(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
+
+    # StablehloPadOptions
+    def EdgePaddingLowLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloPadOptions
+    def EdgePaddingLowIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        return o == 0
+
+    # StablehloPadOptions
+    def EdgePaddingHigh(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        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
+
+    # StablehloPadOptions
+    def EdgePaddingHighAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloPadOptions
+    def EdgePaddingHighLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloPadOptions
+    def EdgePaddingHighIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        return o == 0
+
+    # StablehloPadOptions
+    def InteriorPadding(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        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
+
+    # StablehloPadOptions
+    def InteriorPaddingAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloPadOptions
+    def InteriorPaddingLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloPadOptions
+    def InteriorPaddingIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        return o == 0
+
+def StablehloPadOptionsStart(builder): builder.StartObject(3)
+def Start(builder):
+    return StablehloPadOptionsStart(builder)
+def StablehloPadOptionsAddEdgePaddingLow(builder, edgePaddingLow): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(edgePaddingLow), 0)
+def AddEdgePaddingLow(builder, edgePaddingLow):
+    return StablehloPadOptionsAddEdgePaddingLow(builder, edgePaddingLow)
+def StablehloPadOptionsStartEdgePaddingLowVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartEdgePaddingLowVector(builder, numElems):
+    return StablehloPadOptionsStartEdgePaddingLowVector(builder, numElems)
+def StablehloPadOptionsAddEdgePaddingHigh(builder, edgePaddingHigh): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(edgePaddingHigh), 0)
+def AddEdgePaddingHigh(builder, edgePaddingHigh):
+    return StablehloPadOptionsAddEdgePaddingHigh(builder, edgePaddingHigh)
+def StablehloPadOptionsStartEdgePaddingHighVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartEdgePaddingHighVector(builder, numElems):
+    return StablehloPadOptionsStartEdgePaddingHighVector(builder, numElems)
+def StablehloPadOptionsAddInteriorPadding(builder, interiorPadding): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(interiorPadding), 0)
+def AddInteriorPadding(builder, interiorPadding):
+    return StablehloPadOptionsAddInteriorPadding(builder, interiorPadding)
+def StablehloPadOptionsStartInteriorPaddingVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartInteriorPaddingVector(builder, numElems):
+    return StablehloPadOptionsStartInteriorPaddingVector(builder, numElems)
+def StablehloPadOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloPadOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloPrecisionConfig.py b/ethosu/vela/tflite/StablehloPrecisionConfig.py
new file mode 100644
index 0000000..b8133a8
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloPrecisionConfig.py
@@ -0,0 +1,8 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class StablehloPrecisionConfig(object):
+    DEFAULT = 0
+    HIGH = 1
+    HIGHEST = 2
diff --git a/ethosu/vela/tflite/StablehloReduceOptions.py b/ethosu/vela/tflite/StablehloReduceOptions.py
new file mode 100644
index 0000000..35ab454
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloReduceOptions.py
@@ -0,0 +1,79 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloReduceOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloReduceOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloReduceOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloReduceOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloReduceOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloReduceOptions
+    def Dimensions(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
+
+    # StablehloReduceOptions
+    def DimensionsAsNumpy(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
+
+    # StablehloReduceOptions
+    def DimensionsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloReduceOptions
+    def DimensionsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        return o == 0
+
+    # StablehloReduceOptions
+    def BodySubgraphIndex(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def StablehloReduceOptionsStart(builder): builder.StartObject(2)
+def Start(builder):
+    return StablehloReduceOptionsStart(builder)
+def StablehloReduceOptionsAddDimensions(builder, dimensions): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(dimensions), 0)
+def AddDimensions(builder, dimensions):
+    return StablehloReduceOptionsAddDimensions(builder, dimensions)
+def StablehloReduceOptionsStartDimensionsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartDimensionsVector(builder, numElems):
+    return StablehloReduceOptionsStartDimensionsVector(builder, numElems)
+def StablehloReduceOptionsAddBodySubgraphIndex(builder, bodySubgraphIndex): builder.PrependInt32Slot(1, bodySubgraphIndex, 0)
+def AddBodySubgraphIndex(builder, bodySubgraphIndex):
+    return StablehloReduceOptionsAddBodySubgraphIndex(builder, bodySubgraphIndex)
+def StablehloReduceOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloReduceOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloReduceWindowOptions.py b/ethosu/vela/tflite/StablehloReduceWindowOptions.py
new file mode 100644
index 0000000..e9b86a7
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloReduceWindowOptions.py
@@ -0,0 +1,211 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloReduceWindowOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloReduceWindowOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloReduceWindowOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloReduceWindowOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloReduceWindowOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloReduceWindowOptions
+    def WindowDimensions(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
+
+    # StablehloReduceWindowOptions
+    def WindowDimensionsAsNumpy(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
+
+    # StablehloReduceWindowOptions
+    def WindowDimensionsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloReduceWindowOptions
+    def WindowDimensionsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        return o == 0
+
+    # StablehloReduceWindowOptions
+    def WindowStrides(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        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
+
+    # StablehloReduceWindowOptions
+    def WindowStridesAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloReduceWindowOptions
+    def WindowStridesLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloReduceWindowOptions
+    def WindowStridesIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        return o == 0
+
+    # StablehloReduceWindowOptions
+    def BaseDilations(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        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
+
+    # StablehloReduceWindowOptions
+    def BaseDilationsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloReduceWindowOptions
+    def BaseDilationsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloReduceWindowOptions
+    def BaseDilationsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        return o == 0
+
+    # StablehloReduceWindowOptions
+    def WindowDilations(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        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
+
+    # StablehloReduceWindowOptions
+    def WindowDilationsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloReduceWindowOptions
+    def WindowDilationsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloReduceWindowOptions
+    def WindowDilationsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        return o == 0
+
+    # StablehloReduceWindowOptions
+    def Padding(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        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
+
+    # StablehloReduceWindowOptions
+    def PaddingAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloReduceWindowOptions
+    def PaddingLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloReduceWindowOptions
+    def PaddingIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        return o == 0
+
+    # StablehloReduceWindowOptions
+    def BodySubgraphIndex(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def StablehloReduceWindowOptionsStart(builder): builder.StartObject(6)
+def Start(builder):
+    return StablehloReduceWindowOptionsStart(builder)
+def StablehloReduceWindowOptionsAddWindowDimensions(builder, windowDimensions): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(windowDimensions), 0)
+def AddWindowDimensions(builder, windowDimensions):
+    return StablehloReduceWindowOptionsAddWindowDimensions(builder, windowDimensions)
+def StablehloReduceWindowOptionsStartWindowDimensionsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartWindowDimensionsVector(builder, numElems):
+    return StablehloReduceWindowOptionsStartWindowDimensionsVector(builder, numElems)
+def StablehloReduceWindowOptionsAddWindowStrides(builder, windowStrides): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(windowStrides), 0)
+def AddWindowStrides(builder, windowStrides):
+    return StablehloReduceWindowOptionsAddWindowStrides(builder, windowStrides)
+def StablehloReduceWindowOptionsStartWindowStridesVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartWindowStridesVector(builder, numElems):
+    return StablehloReduceWindowOptionsStartWindowStridesVector(builder, numElems)
+def StablehloReduceWindowOptionsAddBaseDilations(builder, baseDilations): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(baseDilations), 0)
+def AddBaseDilations(builder, baseDilations):
+    return StablehloReduceWindowOptionsAddBaseDilations(builder, baseDilations)
+def StablehloReduceWindowOptionsStartBaseDilationsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartBaseDilationsVector(builder, numElems):
+    return StablehloReduceWindowOptionsStartBaseDilationsVector(builder, numElems)
+def StablehloReduceWindowOptionsAddWindowDilations(builder, windowDilations): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(windowDilations), 0)
+def AddWindowDilations(builder, windowDilations):
+    return StablehloReduceWindowOptionsAddWindowDilations(builder, windowDilations)
+def StablehloReduceWindowOptionsStartWindowDilationsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartWindowDilationsVector(builder, numElems):
+    return StablehloReduceWindowOptionsStartWindowDilationsVector(builder, numElems)
+def StablehloReduceWindowOptionsAddPadding(builder, padding): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(padding), 0)
+def AddPadding(builder, padding):
+    return StablehloReduceWindowOptionsAddPadding(builder, padding)
+def StablehloReduceWindowOptionsStartPaddingVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartPaddingVector(builder, numElems):
+    return StablehloReduceWindowOptionsStartPaddingVector(builder, numElems)
+def StablehloReduceWindowOptionsAddBodySubgraphIndex(builder, bodySubgraphIndex): builder.PrependInt32Slot(5, bodySubgraphIndex, 0)
+def AddBodySubgraphIndex(builder, bodySubgraphIndex):
+    return StablehloReduceWindowOptionsAddBodySubgraphIndex(builder, bodySubgraphIndex)
+def StablehloReduceWindowOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloReduceWindowOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloRngBitGeneratorOptions.py b/ethosu/vela/tflite/StablehloRngBitGeneratorOptions.py
new file mode 100644
index 0000000..29a4cce
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloRngBitGeneratorOptions.py
@@ -0,0 +1,46 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloRngBitGeneratorOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloRngBitGeneratorOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloRngBitGeneratorOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloRngBitGeneratorOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloRngBitGeneratorOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloRngBitGeneratorOptions
+    def Algorithm(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def StablehloRngBitGeneratorOptionsStart(builder): builder.StartObject(1)
+def Start(builder):
+    return StablehloRngBitGeneratorOptionsStart(builder)
+def StablehloRngBitGeneratorOptionsAddAlgorithm(builder, algorithm): builder.PrependInt8Slot(0, algorithm, 0)
+def AddAlgorithm(builder, algorithm):
+    return StablehloRngBitGeneratorOptionsAddAlgorithm(builder, algorithm)
+def StablehloRngBitGeneratorOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloRngBitGeneratorOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloScatterOptions.py b/ethosu/vela/tflite/StablehloScatterOptions.py
new file mode 100644
index 0000000..e9554c2
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloScatterOptions.py
@@ -0,0 +1,175 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloScatterOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloScatterOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloScatterOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloScatterOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloScatterOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloScatterOptions
+    def IndicesAreSorted(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
+
+    # StablehloScatterOptions
+    def UpdateWindowDims(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        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
+
+    # StablehloScatterOptions
+    def UpdateWindowDimsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloScatterOptions
+    def UpdateWindowDimsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloScatterOptions
+    def UpdateWindowDimsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        return o == 0
+
+    # StablehloScatterOptions
+    def InsertedWindowDims(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        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
+
+    # StablehloScatterOptions
+    def InsertedWindowDimsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloScatterOptions
+    def InsertedWindowDimsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloScatterOptions
+    def InsertedWindowDimsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        return o == 0
+
+    # StablehloScatterOptions
+    def ScatterDimsToOperandDims(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        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
+
+    # StablehloScatterOptions
+    def ScatterDimsToOperandDimsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloScatterOptions
+    def ScatterDimsToOperandDimsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloScatterOptions
+    def ScatterDimsToOperandDimsIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        return o == 0
+
+    # StablehloScatterOptions
+    def IndexVectorDim(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloScatterOptions
+    def UniqueIndices(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+    # StablehloScatterOptions
+    def UpdateComputationSubgraphIndex(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def StablehloScatterOptionsStart(builder): builder.StartObject(7)
+def Start(builder):
+    return StablehloScatterOptionsStart(builder)
+def StablehloScatterOptionsAddIndicesAreSorted(builder, indicesAreSorted): builder.PrependBoolSlot(0, indicesAreSorted, 0)
+def AddIndicesAreSorted(builder, indicesAreSorted):
+    return StablehloScatterOptionsAddIndicesAreSorted(builder, indicesAreSorted)
+def StablehloScatterOptionsAddUpdateWindowDims(builder, updateWindowDims): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(updateWindowDims), 0)
+def AddUpdateWindowDims(builder, updateWindowDims):
+    return StablehloScatterOptionsAddUpdateWindowDims(builder, updateWindowDims)
+def StablehloScatterOptionsStartUpdateWindowDimsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartUpdateWindowDimsVector(builder, numElems):
+    return StablehloScatterOptionsStartUpdateWindowDimsVector(builder, numElems)
+def StablehloScatterOptionsAddInsertedWindowDims(builder, insertedWindowDims): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(insertedWindowDims), 0)
+def AddInsertedWindowDims(builder, insertedWindowDims):
+    return StablehloScatterOptionsAddInsertedWindowDims(builder, insertedWindowDims)
+def StablehloScatterOptionsStartInsertedWindowDimsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartInsertedWindowDimsVector(builder, numElems):
+    return StablehloScatterOptionsStartInsertedWindowDimsVector(builder, numElems)
+def StablehloScatterOptionsAddScatterDimsToOperandDims(builder, scatterDimsToOperandDims): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(scatterDimsToOperandDims), 0)
+def AddScatterDimsToOperandDims(builder, scatterDimsToOperandDims):
+    return StablehloScatterOptionsAddScatterDimsToOperandDims(builder, scatterDimsToOperandDims)
+def StablehloScatterOptionsStartScatterDimsToOperandDimsVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartScatterDimsToOperandDimsVector(builder, numElems):
+    return StablehloScatterOptionsStartScatterDimsToOperandDimsVector(builder, numElems)
+def StablehloScatterOptionsAddIndexVectorDim(builder, indexVectorDim): builder.PrependInt64Slot(4, indexVectorDim, 0)
+def AddIndexVectorDim(builder, indexVectorDim):
+    return StablehloScatterOptionsAddIndexVectorDim(builder, indexVectorDim)
+def StablehloScatterOptionsAddUniqueIndices(builder, uniqueIndices): builder.PrependBoolSlot(5, uniqueIndices, 0)
+def AddUniqueIndices(builder, uniqueIndices):
+    return StablehloScatterOptionsAddUniqueIndices(builder, uniqueIndices)
+def StablehloScatterOptionsAddUpdateComputationSubgraphIndex(builder, updateComputationSubgraphIndex): builder.PrependInt32Slot(6, updateComputationSubgraphIndex, 0)
+def AddUpdateComputationSubgraphIndex(builder, updateComputationSubgraphIndex):
+    return StablehloScatterOptionsAddUpdateComputationSubgraphIndex(builder, updateComputationSubgraphIndex)
+def StablehloScatterOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloScatterOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloSliceOptions.py b/ethosu/vela/tflite/StablehloSliceOptions.py
new file mode 100644
index 0000000..5b7da50
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloSliceOptions.py
@@ -0,0 +1,135 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloSliceOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloSliceOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloSliceOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloSliceOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloSliceOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloSliceOptions
+    def StartIndices(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
+
+    # StablehloSliceOptions
+    def StartIndicesAsNumpy(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
+
+    # StablehloSliceOptions
+    def StartIndicesLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloSliceOptions
+    def StartIndicesIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        return o == 0
+
+    # StablehloSliceOptions
+    def LimitIndices(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        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
+
+    # StablehloSliceOptions
+    def LimitIndicesAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloSliceOptions
+    def LimitIndicesLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloSliceOptions
+    def LimitIndicesIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        return o == 0
+
+    # StablehloSliceOptions
+    def Strides(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        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
+
+    # StablehloSliceOptions
+    def StridesAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # StablehloSliceOptions
+    def StridesLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloSliceOptions
+    def StridesIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        return o == 0
+
+def StablehloSliceOptionsStart(builder): builder.StartObject(3)
+def Start(builder):
+    return StablehloSliceOptionsStart(builder)
+def StablehloSliceOptionsAddStartIndices(builder, startIndices): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(startIndices), 0)
+def AddStartIndices(builder, startIndices):
+    return StablehloSliceOptionsAddStartIndices(builder, startIndices)
+def StablehloSliceOptionsStartStartIndicesVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartStartIndicesVector(builder, numElems):
+    return StablehloSliceOptionsStartStartIndicesVector(builder, numElems)
+def StablehloSliceOptionsAddLimitIndices(builder, limitIndices): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(limitIndices), 0)
+def AddLimitIndices(builder, limitIndices):
+    return StablehloSliceOptionsAddLimitIndices(builder, limitIndices)
+def StablehloSliceOptionsStartLimitIndicesVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartLimitIndicesVector(builder, numElems):
+    return StablehloSliceOptionsStartLimitIndicesVector(builder, numElems)
+def StablehloSliceOptionsAddStrides(builder, strides): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(strides), 0)
+def AddStrides(builder, strides):
+    return StablehloSliceOptionsAddStrides(builder, strides)
+def StablehloSliceOptionsStartStridesVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartStridesVector(builder, numElems):
+    return StablehloSliceOptionsStartStridesVector(builder, numElems)
+def StablehloSliceOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloSliceOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloSortOptions.py b/ethosu/vela/tflite/StablehloSortOptions.py
new file mode 100644
index 0000000..0a9c84a
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloSortOptions.py
@@ -0,0 +1,66 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloSortOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloSortOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloSortOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloSortOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloSortOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloSortOptions
+    def Dimension(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloSortOptions
+    def IsStable(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
+
+    # StablehloSortOptions
+    def ComparatorSubgraphIndex(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def StablehloSortOptionsStart(builder): builder.StartObject(3)
+def Start(builder):
+    return StablehloSortOptionsStart(builder)
+def StablehloSortOptionsAddDimension(builder, dimension): builder.PrependInt64Slot(0, dimension, 0)
+def AddDimension(builder, dimension):
+    return StablehloSortOptionsAddDimension(builder, dimension)
+def StablehloSortOptionsAddIsStable(builder, isStable): builder.PrependBoolSlot(1, isStable, 0)
+def AddIsStable(builder, isStable):
+    return StablehloSortOptionsAddIsStable(builder, isStable)
+def StablehloSortOptionsAddComparatorSubgraphIndex(builder, comparatorSubgraphIndex): builder.PrependInt32Slot(2, comparatorSubgraphIndex, 0)
+def AddComparatorSubgraphIndex(builder, comparatorSubgraphIndex):
+    return StablehloSortOptionsAddComparatorSubgraphIndex(builder, comparatorSubgraphIndex)
+def StablehloSortOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloSortOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloTransposeOptions.py b/ethosu/vela/tflite/StablehloTransposeOptions.py
new file mode 100644
index 0000000..3843b3d
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloTransposeOptions.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 StablehloTransposeOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloTransposeOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloTransposeOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloTransposeOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloTransposeOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloTransposeOptions
+    def Permutation(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
+
+    # StablehloTransposeOptions
+    def PermutationAsNumpy(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
+
+    # StablehloTransposeOptions
+    def PermutationLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # StablehloTransposeOptions
+    def PermutationIsNone(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        return o == 0
+
+def StablehloTransposeOptionsStart(builder): builder.StartObject(1)
+def Start(builder):
+    return StablehloTransposeOptionsStart(builder)
+def StablehloTransposeOptionsAddPermutation(builder, permutation): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(permutation), 0)
+def AddPermutation(builder, permutation):
+    return StablehloTransposeOptionsAddPermutation(builder, permutation)
+def StablehloTransposeOptionsStartPermutationVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def StartPermutationVector(builder, numElems):
+    return StablehloTransposeOptionsStartPermutationVector(builder, numElems)
+def StablehloTransposeOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloTransposeOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/StablehloWhileOptions.py b/ethosu/vela/tflite/StablehloWhileOptions.py
new file mode 100644
index 0000000..302a373
--- /dev/null
+++ b/ethosu/vela/tflite/StablehloWhileOptions.py
@@ -0,0 +1,56 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+from flatbuffers.compat import import_numpy
+np = import_numpy()
+
+class StablehloWhileOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAs(cls, buf, offset=0):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StablehloWhileOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    @classmethod
+    def GetRootAsStablehloWhileOptions(cls, buf, offset=0):
+        """This method is deprecated. Please switch to GetRootAs."""
+        return cls.GetRootAs(buf, offset)
+    @classmethod
+    def StablehloWhileOptionsBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
+        return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x46\x4C\x33", size_prefixed=size_prefixed)
+
+    # StablehloWhileOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StablehloWhileOptions
+    def CondSubgraphIndex(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # StablehloWhileOptions
+    def BodySubgraphIndex(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def StablehloWhileOptionsStart(builder): builder.StartObject(2)
+def Start(builder):
+    return StablehloWhileOptionsStart(builder)
+def StablehloWhileOptionsAddCondSubgraphIndex(builder, condSubgraphIndex): builder.PrependInt32Slot(0, condSubgraphIndex, 0)
+def AddCondSubgraphIndex(builder, condSubgraphIndex):
+    return StablehloWhileOptionsAddCondSubgraphIndex(builder, condSubgraphIndex)
+def StablehloWhileOptionsAddBodySubgraphIndex(builder, bodySubgraphIndex): builder.PrependInt32Slot(1, bodySubgraphIndex, 0)
+def AddBodySubgraphIndex(builder, bodySubgraphIndex):
+    return StablehloWhileOptionsAddBodySubgraphIndex(builder, bodySubgraphIndex)
+def StablehloWhileOptionsEnd(builder): return builder.EndObject()
+def End(builder):
+    return StablehloWhileOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite/TransposeConvOptions.py b/ethosu/vela/tflite/TransposeConvOptions.py
index af9159c..bbe2ed3 100644
--- a/ethosu/vela/tflite/TransposeConvOptions.py
+++ b/ethosu/vela/tflite/TransposeConvOptions.py
@@ -56,7 +56,14 @@ class TransposeConvOptions(object):
             return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
         return 0
 
-def TransposeConvOptionsStart(builder): builder.StartObject(4)
+    # TransposeConvOptions
+    def QuantizedBiasType(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def TransposeConvOptionsStart(builder): builder.StartObject(5)
 def Start(builder):
     return TransposeConvOptionsStart(builder)
 def TransposeConvOptionsAddPadding(builder, padding): builder.PrependInt8Slot(0, padding, 0)
@@ -71,6 +78,9 @@ def AddStrideH(builder, strideH):
 def TransposeConvOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(3, fusedActivationFunction, 0)
 def AddFusedActivationFunction(builder, fusedActivationFunction):
     return TransposeConvOptionsAddFusedActivationFunction(builder, fusedActivationFunction)
+def TransposeConvOptionsAddQuantizedBiasType(builder, quantizedBiasType): builder.PrependInt8Slot(4, quantizedBiasType, 0)
+def AddQuantizedBiasType(builder, quantizedBiasType):
+    return TransposeConvOptionsAddQuantizedBiasType(builder, quantizedBiasType)
 def TransposeConvOptionsEnd(builder): return builder.EndObject()
 def End(builder):
     return TransposeConvOptionsEnd(builder)
\ No newline at end of file
diff --git a/ethosu/vela/tflite_mapping.py b/ethosu/vela/tflite_mapping.py
index fd94dd8..0faa079 100644
--- a/ethosu/vela/tflite_mapping.py
+++ b/ethosu/vela/tflite_mapping.py
@@ -55,6 +55,7 @@ from .tflite import DensifyOptions
 from .tflite import DepthToSpaceOptions
 from .tflite import DepthwiseConv2DOptions
 from .tflite import DequantizeOptions
+from .tflite import DilateOptions
 from .tflite import DivOptions
 from .tflite import DynamicUpdateSliceOptions
 from .tflite import EmbeddingLookupSparseOptions
@@ -109,6 +110,7 @@ from .tflite import RangeOptions
 from .tflite import RankOptions
 from .tflite import ReadVariableOptions
 from .tflite import ReducerOptions
+from .tflite import ReduceWindowOptions
 from .tflite import ReshapeOptions
 from .tflite import ResizeBilinearOptions
 from .tflite import ResizeNearestNeighborOptions
@@ -156,6 +158,7 @@ from .tflite import ZerosLikeOptions
 from .tflite.ActivationFunctionType import ActivationFunctionType
 from .tflite.BuiltinOperator import BuiltinOperator
 from .tflite.BuiltinOptions import BuiltinOptions
+from .tflite.BuiltinOptions2 import BuiltinOptions2
 from .tflite.Padding import Padding
 from .tflite.TensorType import TensorType
 
@@ -342,6 +345,9 @@ builtin_options_map = {
     BuiltinOptions.BitcastOptions: BitcastOptions.BitcastOptions,
     BuiltinOptions.BitwiseXorOptions: BitwiseXorOptions.BitwiseXorOptions,
     BuiltinOptions.RightShiftOptions: RightShiftOptions.RightShiftOptions,
+    # BuiltinOptions 2
+    127 + BuiltinOptions2.DilateOptions: DilateOptions.DilateOptions,
+    127 + BuiltinOptions2.ReduceWindowOptions: ReduceWindowOptions.ReduceWindowOptions,
 }
 
 
@@ -559,7 +565,16 @@ builtin_operator_map = {
     BuiltinOperator.CONV_2D: (
         Op.Conv2DBias,
         OptionsSerializer(
-            "Conv2DOptions", ("dilation_h_factor", "dilation_w_factor", fused_act, padding, "stride_h", "stride_w")
+            "Conv2DOptions",
+            (
+                "dilation_h_factor",
+                "dilation_w_factor",
+                fused_act,
+                padding,
+                "stride_h",
+                "stride_w",
+                "quantized_bias_type",
+            ),
         ),
         TFLITE_IFM_WEIGHTS_BIAS_INDICES,
     ),
@@ -582,7 +597,8 @@ builtin_operator_map = {
     BuiltinOperator.FULLY_CONNECTED: (
         Op.FullyConnected,
         OptionsSerializer(
-            "FullyConnectedOptions", ("asymmetric_quantize_inputs", fused_act, "keep_num_dims", "weights_format")
+            "FullyConnectedOptions",
+            ("asymmetric_quantize_inputs", fused_act, "keep_num_dims", "weights_format", "quantized_bias_type"),
         ),
         TFLITE_IFM_WEIGHTS_BIAS_INDICES,
     ),
@@ -791,7 +807,7 @@ builtin_operator_map = {
     BuiltinOperator.SIN: (Op.Sin, None, TFLITE_NO_INDICES),
     BuiltinOperator.TRANSPOSE_CONV: (
         Op.Conv2DBackpropInput,
-        OptionsSerializer("TransposeConvOptions", (padding, "stride_h", "stride_w")),
+        OptionsSerializer("TransposeConvOptions", (padding, "stride_h", "stride_w", fused_act, "quantized_bias_type")),
         TFLITE_CONV2D_BACKPROP_INDICES,
     ),
     BuiltinOperator.SIGN: (Op.Sign, OptionsSerializer("SignOptions"), TFLITE_IFM_INDICES),
@@ -1054,6 +1070,12 @@ builtin_operator_map = {
         OptionsSerializer("RightShiftOptions"),
         TFLITE_NO_INDICES,
     ),
+    BuiltinOperator.DILATE: (Op.Dilate, OptionsSerializer("DilateOptions"), TFLITE_NO_INDICES),
+    BuiltinOperator.REDUCE_WINDOW: (
+        Op.ReduceWindow,
+        OptionsSerializer("ReduceWindowOptions", ("reduce_function",)),
+        TFLITE_NO_INDICES,
+    ),
     BuiltinOperator.CUSTOM: (Op.Custom, CustomOptionsSerializer(), TFLITE_NO_INDICES),
 }
 
diff --git a/ethosu/vela/tflite_supported_operators.py b/ethosu/vela/tflite_supported_operators.py
index e5686f4..ada2136 100644
--- a/ethosu/vela/tflite_supported_operators.py
+++ b/ethosu/vela/tflite_supported_operators.py
@@ -58,6 +58,7 @@ class TFLiteSupportedOperators:
     depthwise_convolution_ops = set((Op.DepthwiseConv2DBias,))
     transpose_convolution_ops = set((Op.Conv2DBackpropInput,))
     convolution_like_ops = convolution_ops | depthwise_convolution_ops | transpose_convolution_ops
+    conv_depth_fc_op = convolution_ops | depthwise_convolution_ops | set((Op.FullyConnected,))
     max_pooling_ops = Op.op_set(Op.is_maxpool_op)
     avg_pooling_ops = Op.op_set(Op.is_avgpool_op)
     pooling_ops = set((Op.ReduceSum,)) | max_pooling_ops | avg_pooling_ops
@@ -238,7 +239,8 @@ class TFLiteSupportedOperators:
             self.specific_constraints[op_type].append(TFLiteSupportedOperators.constraint_bias_shape)
             self.specific_constraints[op_type].append(TFLiteSupportedOperators.constraint_bias_type)
             self.specific_constraints[op_type].append(TFLiteSupportedOperators.constraint_bias_40bit)
-
+        for op_type in TFLiteSupportedOperators.conv_depth_fc_op:
+            self.specific_constraints[op_type].append(TFLiteSupportedOperators.constraint_no_quantized_bias_type)
         # Transpose Conv specific checks:
         for op_type in TFLiteSupportedOperators.transpose_convolution_ops:
             self.specific_constraints[op_type].append(TFLiteSupportedOperators.constraint_tconv_stride)
@@ -532,6 +534,12 @@ class TFLiteSupportedOperators:
             return valid, f"Tensor '{bias.name}' has values larger than 40-bits"
         return True, "Op has no bias tensor, or it fits in 40-bit"
 
+    def constraint_no_quantized_bias_type(op):
+        "Attribute quantized_bias_type must not be set"
+        quantized_bias_type = op.attrs.get("quantized_bias_type", False)
+        valid = quantized_bias_type == 0
+        return valid, f"Op has quantized_bias_type={quantized_bias_type}"
+
     @staticmethod
     def constraint_batch_size(op):
         "IFM Tensor batch size must be 1"
diff --git a/ethosu/vela/tflite_writer.py b/ethosu/vela/tflite_writer.py
index 6d85567..44ce711 100644
--- a/ethosu/vela/tflite_writer.py
+++ b/ethosu/vela/tflite_writer.py
@@ -343,8 +343,12 @@ class TFLiteSerialiser:
         Operator.OperatorAddIntermediates(builder, intermediates_offset)
 
         if builtin_opt_offset is not None:
-            Operator.OperatorAddBuiltinOptionsType(builder, opt_serializer.builtin_opt_type)
-            Operator.OperatorAddBuiltinOptions(builder, builtin_opt_offset)
+            if opt_serializer.builtin_opt_type < 127:
+                Operator.OperatorAddBuiltinOptionsType(builder, opt_serializer.builtin_opt_type)
+                Operator.OperatorAddBuiltinOptions(builder, builtin_opt_offset)
+            else:
+                Operator.OperatorAddBuiltinOptions2Type(builder, opt_serializer.builtin_opt_type % 127)
+                Operator.OperatorAddBuiltinOptions2(builder, builtin_opt_offset)
         if custom_opt_offset is not None:
             Operator.OperatorAddCustomOptions(builder, custom_opt_offset)
             Operator.OperatorAddCustomOptionsFormat(builder, opt_serializer.custom_opt_format)