blob: 73b1ee88c8b138df7c10f51c40c1de02d284cab7 [file] [log] [blame]
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tosa
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class ReshapeAttribute(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsReshapeAttribute(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = ReshapeAttribute()
x.Init(buf, n + offset)
return x
@classmethod
def ReshapeAttributeBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x4F\x53\x41", size_prefixed=size_prefixed)
# ReshapeAttribute
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# ReshapeAttribute
def NewShape(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.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
return 0
# ReshapeAttribute
def NewShapeAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
return 0
# ReshapeAttribute
def NewShapeLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.VectorLen(o)
return 0
# ReshapeAttribute
def NewShapeIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
return o == 0
def ReshapeAttributeStart(builder): builder.StartObject(1)
def ReshapeAttributeAddNewShape(builder, newShape): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(newShape), 0)
def ReshapeAttributeStartNewShapeVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def ReshapeAttributeEnd(builder): return builder.EndObject()