mirror of https://github.com/alibaba/MNN.git
77 lines
2.2 KiB
Python
77 lines
2.2 KiB
Python
# automatically generated by the FlatBuffers compiler, do not modify
|
|
|
|
# namespace: CLCache
|
|
|
|
import flatbuffers
|
|
from flatbuffers.compat import import_numpy
|
|
np = import_numpy()
|
|
|
|
class TensorInfo(object):
|
|
__slots__ = ['_tab']
|
|
|
|
@classmethod
|
|
def GetRootAs(cls, buf, offset=0):
|
|
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
|
|
x = TensorInfo()
|
|
x.Init(buf, n + offset)
|
|
return x
|
|
|
|
@classmethod
|
|
def GetRootAsTensorInfo(cls, buf, offset=0):
|
|
"""This method is deprecated. Please switch to GetRootAs."""
|
|
return cls.GetRootAs(buf, offset)
|
|
# TensorInfo
|
|
def Init(self, buf, pos):
|
|
self._tab = flatbuffers.table.Table(buf, pos)
|
|
|
|
# TensorInfo
|
|
def Shape(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
|
|
|
|
# TensorInfo
|
|
def ShapeAsNumpy(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
|
|
|
|
# TensorInfo
|
|
def ShapeLength(self):
|
|
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
|
|
if o != 0:
|
|
return self._tab.VectorLen(o)
|
|
return 0
|
|
|
|
# TensorInfo
|
|
def ShapeIsNone(self):
|
|
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
|
|
return o == 0
|
|
|
|
def TensorInfoStart(builder):
|
|
builder.StartObject(1)
|
|
|
|
def Start(builder):
|
|
TensorInfoStart(builder)
|
|
|
|
def TensorInfoAddShape(builder, shape):
|
|
builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(shape), 0)
|
|
|
|
def AddShape(builder, shape):
|
|
TensorInfoAddShape(builder, shape)
|
|
|
|
def TensorInfoStartShapeVector(builder, numElems):
|
|
return builder.StartVector(4, numElems, 4)
|
|
|
|
def StartShapeVector(builder, numElems):
|
|
return TensorInfoStartShapeVector(builder, numElems)
|
|
|
|
def TensorInfoEnd(builder):
|
|
return builder.EndObject()
|
|
|
|
def End(builder):
|
|
return TensorInfoEnd(builder)
|