blob: de550a6752434c565b1b03e9537f6395d5243ac2 [file] [log] [blame]
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
class SparsityParameters(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsSparsityParameters(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = SparsityParameters()
x.Init(buf, n + offset)
return x
# SparsityParameters
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# SparsityParameters
def TraversalOrder(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
# SparsityParameters
def TraversalOrderAsNumpy(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
# SparsityParameters
def TraversalOrderLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.VectorLen(o)
return 0
# SparsityParameters
def BlockMap(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.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
return 0
# SparsityParameters
def BlockMapAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
return 0
# SparsityParameters
def BlockMapLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.VectorLen(o)
return 0
# SparsityParameters
def DimMetadata(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 .DimensionMetadata import DimensionMetadata
obj = DimensionMetadata()
obj.Init(self._tab.Bytes, x)
return obj
return None
# SparsityParameters
def DimMetadataLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.VectorLen(o)
return 0
def SparsityParametersStart(builder): builder.StartObject(3)
def SparsityParametersAddTraversalOrder(builder, traversalOrder): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(traversalOrder), 0)
def SparsityParametersStartTraversalOrderVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def SparsityParametersAddBlockMap(builder, blockMap): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(blockMap), 0)
def SparsityParametersStartBlockMapVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def SparsityParametersAddDimMetadata(builder, dimMetadata): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(dimMetadata), 0)
def SparsityParametersStartDimMetadataVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def SparsityParametersEnd(builder): return builder.EndObject()