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.venv/Lib/site-packages/tk/structure/TensorMap.py

@@ -0,0 +1,76 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: structure
+
+import flatbuffers
+
+
+class TensorMap(object):
+  __slots__ = ['_tab']
+
+  @classmethod
+  def GetRootAsTensorMap(cls, buf, offset):
+    n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+    x = TensorMap()
+    x.Init(buf, n + offset)
+    return x
+
+  # TensorMap
+  def Init(self, buf, pos):
+    self._tab = flatbuffers.table.Table(buf, pos)
+
+  # TensorMap
+  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
+
+  # TensorMap
+  def Info(self):
+    o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+    if o != 0:
+      return self._tab.String(o + self._tab.Pos)
+    return None
+
+  # TensorMap
+  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 .Tensor import Tensor
+      obj = Tensor()
+      obj.Init(self._tab.Bytes, x)
+      return obj
+    return None
+
+  # TensorMap
+  def TensorsLength(self):
+    o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+    if o != 0:
+      return self._tab.VectorLen(o)
+    return 0
+
+
+def TensorMapStart(builder): builder.StartObject(3)
+
+
+def TensorMapAddName(builder, name): builder.PrependUOffsetTRelativeSlot(
+    0, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0)
+
+
+def TensorMapAddInfo(builder, info): builder.PrependUOffsetTRelativeSlot(
+    1, flatbuffers.number_types.UOffsetTFlags.py_type(info), 0)
+
+
+def TensorMapAddTensors(builder, tensors): builder.PrependUOffsetTRelativeSlot(
+    2, flatbuffers.number_types.UOffsetTFlags.py_type(tensors), 0)
+
+
+def TensorMapStartTensorsVector(
+    builder, numElems): return builder.StartVector(4, numElems, 4)
+
+
+def TensorMapEnd(builder): return builder.EndObject()