From 42abec185a95ac8d5f2b32d541f587b3cd306e75 Mon Sep 17 00:00:00 2001
From: Tim Hall <tim.hall@arm.com>
Date: Thu, 4 Feb 2021 21:31:57 +0000
Subject: MLBEDSW-3771: Updated to TF 2.4 flatbuffer schema

Updated tflite loader and mappings from tensorflow 2.3 to tensorflow 2.4

Signed-off-by: Tim Hall <tim.hall@arm.com>
Change-Id: I55884000ee139baf639bb0377008e0534f72fe94
---
 ethosu/vela/tflite/SignatureDef.py | 82 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 82 insertions(+)
 create mode 100644 ethosu/vela/tflite/SignatureDef.py

(limited to 'ethosu/vela/tflite/SignatureDef.py')

diff --git a/ethosu/vela/tflite/SignatureDef.py b/ethosu/vela/tflite/SignatureDef.py
new file mode 100644
index 00000000..149f8fc6
--- /dev/null
+++ b/ethosu/vela/tflite/SignatureDef.py
@@ -0,0 +1,82 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SignatureDef(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSignatureDef(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SignatureDef()
+        x.Init(buf, n + offset)
+        return x
+
+    # SignatureDef
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # SignatureDef
+    def Inputs(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            x = self._tab.Vector(o)
+            x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
+            x = self._tab.Indirect(x)
+            from .TensorMap import TensorMap
+            obj = TensorMap()
+            obj.Init(self._tab.Bytes, x)
+            return obj
+        return None
+
+    # SignatureDef
+    def InputsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # SignatureDef
+    def Outputs(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 .TensorMap import TensorMap
+            obj = TensorMap()
+            obj.Init(self._tab.Bytes, x)
+            return obj
+        return None
+
+    # SignatureDef
+    def OutputsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # SignatureDef
+    def MethodName(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.String(o + self._tab.Pos)
+        return None
+
+    # SignatureDef
+    def Key(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
+
+def SignatureDefStart(builder): builder.StartObject(4)
+def SignatureDefAddInputs(builder, inputs): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(inputs), 0)
+def SignatureDefStartInputsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def SignatureDefAddOutputs(builder, outputs): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(outputs), 0)
+def SignatureDefStartOutputsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def SignatureDefAddMethodName(builder, methodName): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(methodName), 0)
+def SignatureDefAddKey(builder, key): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(key), 0)
+def SignatureDefEnd(builder): return builder.EndObject()
-- 
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