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# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
class Tensor(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsTensor(cls, buf, offset):
n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
x = Tensor()
x.Init(buf, n + offset)
return x
# Tensor
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# Tensor
def Shape(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
# Tensor
def ShapeAsNumpy(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
# Tensor
def ShapeLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
if o != 0:
return self._tab.VectorLen(o)
return 0
# Tensor
def Type(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
if o != 0:
return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
return 0
# Tensor
def Buffer(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
# Tensor
def Name(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
if o != 0:
return self._tab.String(o + self._tab.Pos)
return None
# Tensor
def Quantization(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from .QuantizationParameters import QuantizationParameters
obj = QuantizationParameters()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Tensor
def IsVariable(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
if o != 0:
return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
return False
# Tensor
def Sparsity(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
if o != 0:
x = self._tab.Indirect(o + self._tab.Pos)
from .SparsityParameters import SparsityParameters
obj = SparsityParameters()
obj.Init(self._tab.Bytes, x)
return obj
return None
# Tensor
def ShapeSignature(self, j):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
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
# Tensor
def ShapeSignatureAsNumpy(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
if o != 0:
return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
return 0
# Tensor
def ShapeSignatureLength(self):
o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
if o != 0:
return self._tab.VectorLen(o)
return 0
def TensorStart(builder): builder.StartObject(8)
def TensorAddShape(builder, shape): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(shape), 0)
def TensorStartShapeVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def TensorAddType(builder, type): builder.PrependInt8Slot(1, type, 0)
def TensorAddBuffer(builder, buffer): builder.PrependUint32Slot(2, buffer, 0)
def TensorAddName(builder, name): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0)
def TensorAddQuantization(builder, quantization): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(quantization), 0)
def TensorAddIsVariable(builder, isVariable): builder.PrependBoolSlot(5, isVariable, 0)
def TensorAddSparsity(builder, sparsity): builder.PrependUOffsetTRelativeSlot(6, flatbuffers.number_types.UOffsetTFlags.py_type(sparsity), 0)
def TensorAddShapeSignature(builder, shapeSignature): builder.PrependUOffsetTRelativeSlot(7, flatbuffers.number_types.UOffsetTFlags.py_type(shapeSignature), 0)
def TensorStartShapeSignatureVector(builder, numElems): return builder.StartVector(4, numElems, 4)
def TensorEnd(builder): return builder.EndObject()
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