A fix for seed field in the tf.keras random normal generator. The see…

…d field was not passing to the converted onnx model due to that it exists in seed2 attribute instead of seed and its type is Integer and not float.

Signed-off-by: inonbe <inonb@waves.com>

tf2onnx/onnx_opset/generator.py

@@ -88,8 +88,8 @@ def version_9(cls, ctx, node, **kwargs):
         if node.inputs[0].is_const():
             cls.version_1(ctx, node, **kwargs)
         else:
-            seed = node.get_attr("seed")
-            node.set_attr("seed", float(seed.f))
+            seed = node.get_attr("seed2")
+            node.set_attr("seed", float(seed.i))
             cast_node = ctx.make_node("Cast", [node.input[0]], attr={'to': onnx_pb.TensorProto.INT64})
             const_node = ctx.make_node("ConstantOfShape", cast_node.output)
             inputs = node.input.copy()