cavis/libnd4j/include/graph/generated/nd4j/graph/FlatInferenceRequest.py

65 lines
2.4 KiB
Python

# automatically generated by the FlatBuffers compiler, do not modify
# namespace: graph
import flatbuffers
class FlatInferenceRequest(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsFlatInferenceRequest(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = FlatInferenceRequest()
x.Init(buf, n + offset)
return x
# FlatInferenceRequest
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# FlatInferenceRequest
def Id(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int64Flags, o + self._tab.Pos)
return 0
# FlatInferenceRequest
def Variables(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
x = self._tab.Vector(o)
x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
x = self._tab.Indirect(x)
from .FlatVariable import FlatVariable
obj = FlatVariable()
obj.Init(self._tab.Bytes, x)
return obj
return None
# FlatInferenceRequest
def VariablesLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.VectorLen(o)
return 0
# FlatInferenceRequest
def Configuration(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from .FlatConfiguration import FlatConfiguration
obj = FlatConfiguration()
obj.Init(self._tab.Bytes, x)
return obj
return None
def FlatInferenceRequestStart(builder): builder.StartObject(3)
def FlatInferenceRequestAddId(builder, id): builder.PrependInt64Slot(0, id, 0)
def FlatInferenceRequestAddVariables(builder, variables): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(variables), 0)
def FlatInferenceRequestStartVariablesVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def FlatInferenceRequestAddConfiguration(builder, configuration): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(configuration), 0)
def FlatInferenceRequestEnd(builder): return builder.EndObject()