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

142 lines
4.5 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 Autotuning(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = Autotuning()
x.Init(buf, n + offset)
return x
@classmethod
def GetRootAsAutotuning(cls, buf, offset=0):
"""This method is deprecated. Please switch to GetRootAs."""
return cls.GetRootAs(buf, offset)
# Autotuning
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# Autotuning
def Key(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
# Autotuning
def GloablSize(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.Uint32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
return 0
# Autotuning
def GloablSizeAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint32Flags, o)
return 0
# Autotuning
def GloablSizeLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.VectorLen(o)
return 0
# Autotuning
def GloablSizeIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
return o == 0
# Autotuning
def LocalSize(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Uint32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
return 0
# Autotuning
def LocalSizeAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint32Flags, o)
return 0
# Autotuning
def LocalSizeLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.VectorLen(o)
return 0
# Autotuning
def LocalSizeIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
return o == 0
# Autotuning
def TimeCost(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
return 0
def AutotuningStart(builder):
builder.StartObject(4)
def Start(builder):
AutotuningStart(builder)
def AutotuningAddKey(builder, key):
builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(key), 0)
def AddKey(builder, key):
AutotuningAddKey(builder, key)
def AutotuningAddGloablSize(builder, gloablSize):
builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(gloablSize), 0)
def AddGloablSize(builder, gloablSize):
AutotuningAddGloablSize(builder, gloablSize)
def AutotuningStartGloablSizeVector(builder, numElems):
return builder.StartVector(4, numElems, 4)
def StartGloablSizeVector(builder, numElems):
return AutotuningStartGloablSizeVector(builder, numElems)
def AutotuningAddLocalSize(builder, localSize):
builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(localSize), 0)
def AddLocalSize(builder, localSize):
AutotuningAddLocalSize(builder, localSize)
def AutotuningStartLocalSizeVector(builder, numElems):
return builder.StartVector(4, numElems, 4)
def StartLocalSizeVector(builder, numElems):
return AutotuningStartLocalSizeVector(builder, numElems)
def AutotuningAddTimeCost(builder, timeCost):
builder.PrependUint32Slot(3, timeCost, 0)
def AddTimeCost(builder, timeCost):
AutotuningAddTimeCost(builder, timeCost)
def AutotuningEnd(builder):
return builder.EndObject()
def End(builder):
return AutotuningEnd(builder)