1 files changed, 122 insertions, 0 deletions
diff --git a/tools/tflitefile_tool/tflite/Tensor.py b/tools/tflitefile_tool/tflite/Tensor.py
new file mode 100644
index 000000000..468b120f4
--- /dev/null
+++ b/tools/tflitefile_tool/tflite/Tensor.py
@@ -0,0 +1,122 @@
+# 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 ""
+
+    # 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 self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos)
+        return 0
+
+
+def TensorStart(builder):
+    builder.StartObject(6)
+
+
+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 TensorEnd(builder):
+    return builder.EndObject()