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authorPatrik Gustavsson <patrik.gustavsson@arm.com>2021-06-28 07:41:58 +0200
committerPatrik Gustavsson <patrik.gustavsson@arm.com>2021-07-08 10:57:25 +0200
commit8f1f9aaa58175b17cd2e505bfcdb0e40c955ea72 (patch)
tree0174f8ef15007f5e220cfc4d283046451282102e /ethosu/vela/tosa/TosaOperator.py
parent6f4955aa7097b123bbf31aae4654547bb3e3c68c (diff)
downloadethos-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.py102
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
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+++ b/ethosu/vela/tosa/TosaOperator.py
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+# 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()