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author | Patrik Gustavsson <patrik.gustavsson@arm.com> | 2021-06-28 07:41:58 +0200 |
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committer | Patrik Gustavsson <patrik.gustavsson@arm.com> | 2021-07-08 10:57:25 +0200 |
commit | 8f1f9aaa58175b17cd2e505bfcdb0e40c955ea72 (patch) | |
tree | 0174f8ef15007f5e220cfc4d283046451282102e /ethosu/vela/tosa/TosaOperator.py | |
parent | 6f4955aa7097b123bbf31aae4654547bb3e3c68c (diff) | |
download | ethos-u-vela-8f1f9aaa58175b17cd2e505bfcdb0e40c955ea72.tar.gz |
MLBEDSW-4838 Added basic TOSA support.
Added basic TOSA support, enabling Vela to
read and compile a .tosa file corresponding to
CONV2D + Rescale + Clamp, and writing it to an
optimized .tflite file.
The optimized .tflite file, will in this case, hold
a commandstream where the Rescale and Clamp has been
fused into the CONV2D.
The optimized tflite file is not output from Vela.
-Added support to read .tosa file into Vela
internal structure.
- Added tosa_reader.py, tosa_mapper.py and
helper files stored under tosa/
- Support for this limited to ~10 ops
-Added reader_util.py for functions common
for TOSA and TFLite
-Added tosa_graph_optimiser.py
-Added support to fuse Rescale into convolution
-Modified handling for padding
-Added support to fuse Clamp to previous op
-Added graph_optimiser_util.py
-Moved functions common for TOSA/TFLite graph
optimization to this file.
-Renamed graph_optimiser.py to tflite_graph_optmiser.py
-Added separate tosa_supported_operators.py
-Added supported_operator_util.py
-For functions in common for TOSA/TFLite
Signed-off-by: Patrik Gustavsson <patrik.gustavsson@arm.com>
Change-Id: Ic3c540504ec8c5eb4771397fdc6882050ecf33ab
Diffstat (limited to 'ethosu/vela/tosa/TosaOperator.py')
-rw-r--r-- | ethosu/vela/tosa/TosaOperator.py | 102 |
1 files changed, 102 insertions, 0 deletions
diff --git a/ethosu/vela/tosa/TosaOperator.py b/ethosu/vela/tosa/TosaOperator.py new file mode 100644 index 00000000..c45efda6 --- /dev/null +++ b/ethosu/vela/tosa/TosaOperator.py @@ -0,0 +1,102 @@ +# automatically generated by the FlatBuffers compiler, do not modify + +# namespace: tosa + +import flatbuffers + +class TosaOperator(object): + __slots__ = ['_tab'] + + @classmethod + def GetRootAsTosaOperator(cls, buf, offset): + n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) + x = TosaOperator() + x.Init(buf, n + offset) + return x + + # TosaOperator + def Init(self, buf, pos): + self._tab = flatbuffers.table.Table(buf, pos) + + # TosaOperator + def Op(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 + + # TosaOperator + def AttributeType(self): + o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) + if o != 0: + return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos) + return 0 + + # TosaOperator + def Attribute(self): + o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) + if o != 0: + from flatbuffers.table import Table + obj = Table(bytearray(), 0) + self._tab.Union(obj, o) + return obj + return None + + # TosaOperator + def Inputs(self, j): + o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10)) + if o != 0: + a = self._tab.Vector(o) + return self._tab.String(a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4)) + return "" + + # TosaOperator + def InputsLength(self): + o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10)) + if o != 0: + return self._tab.VectorLen(o) + return 0 + + # TosaOperator + def Outputs(self, j): + o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12)) + if o != 0: + a = self._tab.Vector(o) + return self._tab.String(a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4)) + return "" + + # TosaOperator + def OutputsLength(self): + o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12)) + if o != 0: + return self._tab.VectorLen(o) + return 0 + + # TosaOperator + def QuantInfoType(self): + o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14)) + if o != 0: + return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos) + return 0 + + # TosaOperator + def QuantInfo(self): + o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16)) + if o != 0: + from flatbuffers.table import Table + obj = Table(bytearray(), 0) + self._tab.Union(obj, o) + return obj + return None + +def TosaOperatorStart(builder): builder.StartObject(7) +def TosaOperatorAddOp(builder, op): builder.PrependUint32Slot(0, op, 0) +def TosaOperatorAddAttributeType(builder, attributeType): builder.PrependUint8Slot(1, attributeType, 0) +def TosaOperatorAddAttribute(builder, attribute): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(attribute), 0) +def TosaOperatorAddInputs(builder, inputs): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(inputs), 0) +def TosaOperatorStartInputsVector(builder, numElems): return builder.StartVector(4, numElems, 4) +def TosaOperatorAddOutputs(builder, outputs): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(outputs), 0) +def TosaOperatorStartOutputsVector(builder, numElems): return builder.StartVector(4, numElems, 4) +def TosaOperatorAddQuantInfoType(builder, quantInfoType): builder.PrependUint8Slot(5, quantInfoType, 0) +def TosaOperatorAddQuantInfo(builder, quantInfo): builder.PrependUOffsetTRelativeSlot(6, flatbuffers.number_types.UOffsetTFlags.py_type(quantInfo), 0) +def TosaOperatorEnd(builder): return builder.EndObject() |