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# automatically generated by the FlatBuffers compiler, do not modify
# Copyright (c) 2020-2021, ARM Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# namespace: tosa
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class TosaTensor(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsTosaTensor(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = TosaTensor()
x.Init(buf, n + offset)
return x
@classmethod
def TosaTensorBufferHasIdentifier(cls, buf, offset, size_prefixed=False):
return flatbuffers.util.BufferHasIdentifier(buf, offset, b"\x54\x4F\x53\x41", size_prefixed=size_prefixed)
# TosaTensor
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# TosaTensor
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
# TosaTensor
def Shape(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
# TosaTensor
def ShapeAsNumpy(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
# TosaTensor
def ShapeLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.VectorLen(o)
return 0
# TosaTensor
def ShapeIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
return o == 0
# TosaTensor
def Type(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
return 0
# TosaTensor
def Data(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
a = self._tab.Vector(o)
return self._tab.Get(flatbuffers.number_types.Uint8Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
return 0
# TosaTensor
def DataAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint8Flags, o)
return 0
# TosaTensor
def DataLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.VectorLen(o)
return 0
# TosaTensor
def DataIsNone(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
return o == 0
def TosaTensorStart(builder): builder.StartObject(4)
def TosaTensorAddName(builder, name): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0)
def TosaTensorAddShape(builder, shape): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(shape), 0)
def TosaTensorStartShapeVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def TosaTensorAddType(builder, type): builder.PrependUint32Slot(2, type, 0)
def TosaTensorAddData(builder, data): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(data), 0)
def TosaTensorStartDataVector(builder, numElems): return builder.StartVector(1, numElems, 1)
def TosaTensorEnd(builder): return builder.EndObject()
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