Tim Hall | 79d07d2 | 2020-04-27 18:20:16 +0100 | [diff] [blame] | 1 | # automatically generated by the FlatBuffers compiler, do not modify |
| 2 | |
| 3 | # namespace: tflite |
| 4 | |
| 5 | import flatbuffers |
| 6 | |
| 7 | class Tensor(object): |
| 8 | __slots__ = ['_tab'] |
| 9 | |
| 10 | @classmethod |
| 11 | def GetRootAsTensor(cls, buf, offset): |
| 12 | n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset) |
| 13 | x = Tensor() |
| 14 | x.Init(buf, n + offset) |
| 15 | return x |
| 16 | |
| 17 | # Tensor |
| 18 | def Init(self, buf, pos): |
| 19 | self._tab = flatbuffers.table.Table(buf, pos) |
| 20 | |
| 21 | # Tensor |
| 22 | def Shape(self, j): |
| 23 | o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) |
| 24 | if o != 0: |
| 25 | a = self._tab.Vector(o) |
| 26 | return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4)) |
| 27 | return 0 |
| 28 | |
| 29 | # Tensor |
| 30 | def ShapeAsNumpy(self): |
| 31 | o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) |
| 32 | if o != 0: |
| 33 | return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o) |
| 34 | return 0 |
| 35 | |
| 36 | # Tensor |
| 37 | def ShapeLength(self): |
| 38 | o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4)) |
| 39 | if o != 0: |
| 40 | return self._tab.VectorLen(o) |
| 41 | return 0 |
| 42 | |
| 43 | # Tensor |
| 44 | def Type(self): |
| 45 | o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6)) |
| 46 | if o != 0: |
| 47 | return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos) |
| 48 | return 0 |
| 49 | |
| 50 | # Tensor |
| 51 | def Buffer(self): |
| 52 | o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8)) |
| 53 | if o != 0: |
| 54 | return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos) |
| 55 | return 0 |
| 56 | |
| 57 | # Tensor |
| 58 | def Name(self): |
| 59 | o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10)) |
| 60 | if o != 0: |
| 61 | return self._tab.String(o + self._tab.Pos) |
| 62 | return None |
| 63 | |
| 64 | # Tensor |
| 65 | def Quantization(self): |
| 66 | o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12)) |
| 67 | if o != 0: |
| 68 | x = self._tab.Indirect(o + self._tab.Pos) |
| 69 | from .QuantizationParameters import QuantizationParameters |
| 70 | obj = QuantizationParameters() |
| 71 | obj.Init(self._tab.Bytes, x) |
| 72 | return obj |
| 73 | return None |
| 74 | |
| 75 | # Tensor |
| 76 | def IsVariable(self): |
| 77 | o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14)) |
| 78 | if o != 0: |
| 79 | return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos)) |
| 80 | return False |
| 81 | |
| 82 | # Tensor |
| 83 | def Sparsity(self): |
| 84 | o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16)) |
| 85 | if o != 0: |
| 86 | x = self._tab.Indirect(o + self._tab.Pos) |
| 87 | from .SparsityParameters import SparsityParameters |
| 88 | obj = SparsityParameters() |
| 89 | obj.Init(self._tab.Bytes, x) |
| 90 | return obj |
| 91 | return None |
| 92 | |
| 93 | # Tensor |
| 94 | def ShapeSignature(self, j): |
| 95 | o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18)) |
| 96 | if o != 0: |
| 97 | a = self._tab.Vector(o) |
| 98 | return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4)) |
| 99 | return 0 |
| 100 | |
| 101 | # Tensor |
| 102 | def ShapeSignatureAsNumpy(self): |
| 103 | o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18)) |
| 104 | if o != 0: |
| 105 | return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o) |
| 106 | return 0 |
| 107 | |
| 108 | # Tensor |
| 109 | def ShapeSignatureLength(self): |
| 110 | o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18)) |
| 111 | if o != 0: |
| 112 | return self._tab.VectorLen(o) |
| 113 | return 0 |
| 114 | |
| 115 | def TensorStart(builder): builder.StartObject(8) |
| 116 | def TensorAddShape(builder, shape): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(shape), 0) |
| 117 | def TensorStartShapeVector(builder, numElems): return builder.StartVector(4, numElems, 4) |
| 118 | def TensorAddType(builder, type): builder.PrependInt8Slot(1, type, 0) |
| 119 | def TensorAddBuffer(builder, buffer): builder.PrependUint32Slot(2, buffer, 0) |
| 120 | def TensorAddName(builder, name): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0) |
| 121 | def TensorAddQuantization(builder, quantization): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(quantization), 0) |
| 122 | def TensorAddIsVariable(builder, isVariable): builder.PrependBoolSlot(5, isVariable, 0) |
| 123 | def TensorAddSparsity(builder, sparsity): builder.PrependUOffsetTRelativeSlot(6, flatbuffers.number_types.UOffsetTFlags.py_type(sparsity), 0) |
| 124 | def TensorAddShapeSignature(builder, shapeSignature): builder.PrependUOffsetTRelativeSlot(7, flatbuffers.number_types.UOffsetTFlags.py_type(shapeSignature), 0) |
| 125 | def TensorStartShapeSignatureVector(builder, numElems): return builder.StartVector(4, numElems, 4) |
| 126 | def TensorEnd(builder): return builder.EndObject() |