| # 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() |