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# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tosa
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class TosaTensor(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = TosaTensor()
x.Init(buf, n + offset)
return x
@classmethod
def GetRootAsTosaTensor(cls, buf, offset=0):
"""This method is deprecated. Please switch to GetRootAs."""
return cls.GetRootAs(buf, offset)
@classmethod
def TosaTensorBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x4F\x53\x41", size_prefixed=size_prefixed)
# TosaTensor
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# TosaTensor
def Name(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
# TosaTensor
def Shape(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.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
return 0
# TosaTensor
def ShapeAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
return 0
# TosaTensor
def ShapeLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.VectorLen(o)
return 0
# TosaTensor
def ShapeIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
return o == 0
# TosaTensor
def Type(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
return 0
# TosaTensor
def Data(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.Uint8Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
return 0
# TosaTensor
def DataAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint8Flags, o)
return 0
# TosaTensor
def DataLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.VectorLen(o)
return 0
# TosaTensor
def DataIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
return o == 0
# TosaTensor
def Variable(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
if o != 0:
return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
return False
# TosaTensor
def IsUnranked(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
# TosaTensor
def VariableName(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
if o != 0:
return self._tab.String(o + self._tab.Pos)
return None
def TosaTensorStart(builder):
builder.StartObject(7)
def Start(builder):
TosaTensorStart(builder)
def TosaTensorAddName(builder, name):
builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0)
def AddName(builder, name):
TosaTensorAddName(builder, name)
def TosaTensorAddShape(builder, shape):
builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(shape), 0)
def AddShape(builder, shape):
TosaTensorAddShape(builder, shape)
def TosaTensorStartShapeVector(builder, numElems):
return builder.StartVector(4, numElems, 4)
def StartShapeVector(builder, numElems: int) -> int:
return TosaTensorStartShapeVector(builder, numElems)
def TosaTensorAddType(builder, type):
builder.PrependUint32Slot(2, type, 0)
def AddType(builder, type):
TosaTensorAddType(builder, type)
def TosaTensorAddData(builder, data):
builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(data), 0)
def AddData(builder, data):
TosaTensorAddData(builder, data)
def TosaTensorStartDataVector(builder, numElems):
return builder.StartVector(1, numElems, 1)
def StartDataVector(builder, numElems: int) -> int:
return TosaTensorStartDataVector(builder, numElems)
def TosaTensorAddVariable(builder, variable):
builder.PrependBoolSlot(4, variable, 0)
def AddVariable(builder, variable):
TosaTensorAddVariable(builder, variable)
def TosaTensorAddIsUnranked(builder, isUnranked):
builder.PrependBoolSlot(5, isUnranked, 0)
def AddIsUnranked(builder, isUnranked):
TosaTensorAddIsUnranked(builder, isUnranked)
def TosaTensorAddVariableName(builder, variableName):
builder.PrependUOffsetTRelativeSlot(6, flatbuffers.number_types.UOffsetTFlags.py_type(variableName), 0)
def AddVariableName(builder, variableName):
TosaTensorAddVariableName(builder, variableName)
def TosaTensorEnd(builder):
return builder.EndObject()
def End(builder):
return TosaTensorEnd(builder)
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