| # automatically generated by the FlatBuffers compiler, do not modify |
| |
| # namespace: tosa |
| |
| import flatbuffers |
| |
| class TosaBasicBlock(object): |
| __slots__ = ['_tab'] |
| |
| @classmethod |
| def GetRootAsTosaBasicBlock(cls, buf, offset): |
| n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) |
| x = TosaBasicBlock() |
| x.Init(buf, n + offset) |
| return x |
| |
| # TosaBasicBlock |
| def Init(self, buf, pos): |
| self._tab = flatbuffers.table.Table(buf, pos) |
| |
| # TosaBasicBlock |
| 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 |
| |
| # TosaBasicBlock |
| def Operators(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 .TosaOperator import TosaOperator |
| obj = TosaOperator() |
| obj.Init(self._tab.Bytes, x) |
| return obj |
| return None |
| |
| # TosaBasicBlock |
| def OperatorsLength(self): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) |
| if o != 0: |
| return self._tab.VectorLen(o) |
| return 0 |
| |
| # TosaBasicBlock |
| def Tensors(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 .TosaTensor import TosaTensor |
| obj = TosaTensor() |
| obj.Init(self._tab.Bytes, x) |
| return obj |
| return None |
| |
| # TosaBasicBlock |
| def TensorsLength(self): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) |
| if o != 0: |
| return self._tab.VectorLen(o) |
| return 0 |
| |
| # TosaBasicBlock |
| def Inputs(self, j): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10)) |
| if o != 0: |
| a = self._tab.Vector(o) |
| return self._tab.String(a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4)) |
| return "" |
| |
| # TosaBasicBlock |
| def InputsLength(self): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10)) |
| if o != 0: |
| return self._tab.VectorLen(o) |
| return 0 |
| |
| # TosaBasicBlock |
| def Outputs(self, j): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12)) |
| if o != 0: |
| a = self._tab.Vector(o) |
| return self._tab.String(a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4)) |
| return "" |
| |
| # TosaBasicBlock |
| def OutputsLength(self): |
| o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12)) |
| if o != 0: |
| return self._tab.VectorLen(o) |
| return 0 |
| |
| def TosaBasicBlockStart(builder): builder.StartObject(5) |
| def TosaBasicBlockAddName(builder, name): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0) |
| def TosaBasicBlockAddOperators(builder, operators): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(operators), 0) |
| def TosaBasicBlockStartOperatorsVector(builder, numElems): return builder.StartVector(4, numElems, 4) |
| def TosaBasicBlockAddTensors(builder, tensors): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(tensors), 0) |
| def TosaBasicBlockStartTensorsVector(builder, numElems): return builder.StartVector(4, numElems, 4) |
| def TosaBasicBlockAddInputs(builder, inputs): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(inputs), 0) |
| def TosaBasicBlockStartInputsVector(builder, numElems): return builder.StartVector(4, numElems, 4) |
| def TosaBasicBlockAddOutputs(builder, outputs): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(outputs), 0) |
| def TosaBasicBlockStartOutputsVector(builder, numElems): return builder.StartVector(4, numElems, 4) |
| def TosaBasicBlockEnd(builder): return builder.EndObject() |