diff options
Diffstat (limited to 'ethosu/vela/tflite/Tensor.py')
-rw-r--r-- | ethosu/vela/tflite/Tensor.py | 126 |
1 files changed, 126 insertions, 0 deletions
diff --git a/ethosu/vela/tflite/Tensor.py b/ethosu/vela/tflite/Tensor.py new file mode 100644 index 00000000..4c39b7cb --- /dev/null +++ b/ethosu/vela/tflite/Tensor.py @@ -0,0 +1,126 @@ +# 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() |