MNN/source/backend/opencl/schema/CLCache/OpInfo.py

138 lines
4.0 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 OpInfo(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = OpInfo()
x.Init(buf, n + offset)
return x
@classmethod
def GetRootAsOpInfo(cls, buf, offset=0):
"""This method is deprecated. Please switch to GetRootAs."""
return cls.GetRootAs(buf, offset)
# OpInfo
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# OpInfo
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
# OpInfo
def Type(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
return 0
# OpInfo
def Inputs(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
x = self._tab.Vector(o)
x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
x = self._tab.Indirect(x)
from CLCache.TensorInfo import TensorInfo
obj = TensorInfo()
obj.Init(self._tab.Bytes, x)
return obj
return None
# OpInfo
def InputsLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.VectorLen(o)
return 0
# OpInfo
def InputsIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
return o == 0
# OpInfo
def Outputs(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
x = self._tab.Vector(o)
x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
x = self._tab.Indirect(x)
from CLCache.TensorInfo import TensorInfo
obj = TensorInfo()
obj.Init(self._tab.Bytes, x)
return obj
return None
# OpInfo
def OutputsLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.VectorLen(o)
return 0
# OpInfo
def OutputsIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
return o == 0
def OpInfoStart(builder):
builder.StartObject(4)
def Start(builder):
OpInfoStart(builder)
def OpInfoAddName(builder, name):
builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0)
def AddName(builder, name):
OpInfoAddName(builder, name)
def OpInfoAddType(builder, type):
builder.PrependInt32Slot(1, type, 0)
def AddType(builder, type):
OpInfoAddType(builder, type)
def OpInfoAddInputs(builder, inputs):
builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(inputs), 0)
def AddInputs(builder, inputs):
OpInfoAddInputs(builder, inputs)
def OpInfoStartInputsVector(builder, numElems):
return builder.StartVector(4, numElems, 4)
def StartInputsVector(builder, numElems):
return OpInfoStartInputsVector(builder, numElems)
def OpInfoAddOutputs(builder, outputs):
builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(outputs), 0)
def AddOutputs(builder, outputs):
OpInfoAddOutputs(builder, outputs)
def OpInfoStartOutputsVector(builder, numElems):
return builder.StartVector(4, numElems, 4)
def StartOutputsVector(builder, numElems):
return OpInfoStartOutputsVector(builder, numElems)
def OpInfoEnd(builder):
return builder.EndObject()
def End(builder):
return OpInfoEnd(builder)