Falling back to insecure randomness since the required custom op could not be found for the installed version of TensorFlow. Fix this by compiling custom ops. Missing file was '/Users/atrask/Laboratory/openmined/PySyft/venv/lib/python3.6/site-packages/tf_encrypted/operations/secure_random/secure_random_module_tf_1.15.0.so'

WARNING:tensorflow:From /Users/atrask/Laboratory/openmined/PySyft/venv/lib/python3.6/site-packages/tf_encrypted/session.py:24: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.

creating paillier tensor 2

creating paillier tensor 2

creating paillier tensor 2

Log function torch.add
creating paillier tensor 2

creating paillier tensor 2
creating paillier tensor 2
creating paillier tensor 2

---------------------------------------------------------------------------
PureFrameworkTensorFoundError             Traceback (most recent call last)
~/Laboratory/openmined/PySyft/venv/lib/python3.6/site-packages/syft-0.2.0a2-py3.6.egg/syft/frameworks/torch/tensors/interpreters/native.py in handle_func_command(cls, command)
    288             new_args, new_kwargs, new_type, args_type = hook_args.unwrap_args_from_function(
--> 289                 cmd, args, kwargs, return_args_type=True
    290             )

~/Laboratory/openmined/PySyft/venv/lib/python3.6/site-packages/syft-0.2.0a2-py3.6.egg/syft/generic/frameworks/hook/hook_args.py in unwrap_args_from_function(attr, args, kwargs, return_args_type)
    166         # Run it
--> 167         new_args = args_hook_function(args)
    168 

~/Laboratory/openmined/PySyft/venv/lib/python3.6/site-packages/syft-0.2.0a2-py3.6.egg/syft/generic/frameworks/hook/hook_args.py in <lambda>(x)
    349 
--> 350     return lambda x: f(lambdas, x)
    351 

~/Laboratory/openmined/PySyft/venv/lib/python3.6/site-packages/syft-0.2.0a2-py3.6.egg/syft/generic/frameworks/hook/hook_args.py in two_fold(lambdas, args, **kwargs)
    521 def two_fold(lambdas, args, **kwargs):
--> 522     return lambdas[0](args[0], **kwargs), lambdas[1](args[1], **kwargs)
    523 

~/Laboratory/openmined/PySyft/venv/lib/python3.6/site-packages/syft-0.2.0a2-py3.6.egg/syft/generic/frameworks/hook/hook_args.py in <lambda>(i)
    327         # Last if not, rule is probably == 1 so use type to return the right transformation.
--> 328         else lambda i: forward_func[type(i)](i)
    329         for a, r in zip(args, rules)  # And do this for all the args / rules provided

~/Laboratory/openmined/PySyft/venv/lib/python3.6/site-packages/syft-0.2.0a2-py3.6.egg/syft/frameworks/torch/hook/hook_args.py in <lambda>(i)
     29     if hasattr(i, "child")
---> 30     else (_ for _ in ()).throw(PureFrameworkTensorFoundError),
     31     torch.nn.Parameter: lambda i: i.child

~/Laboratory/openmined/PySyft/venv/lib/python3.6/site-packages/syft-0.2.0a2-py3.6.egg/syft/frameworks/torch/hook/hook_args.py in <genexpr>(.0)
     29     if hasattr(i, "child")
---> 30     else (_ for _ in ()).throw(PureFrameworkTensorFoundError),
     31     torch.nn.Parameter: lambda i: i.child

PureFrameworkTensorFoundError: 

During handling of the above exception, another exception occurred:

RuntimeError                              Traceback (most recent call last)
<ipython-input-17-37935d409568> in <module>
----> 1 th.add(x,y)

~/Laboratory/openmined/PySyft/venv/lib/python3.6/site-packages/syft-0.2.0a2-py3.6.egg/syft/generic/frameworks/hook/hook.py in overloaded_func(*args, **kwargs)
    485                 handle_func_command = syft.framework.Tensor.handle_func_command
    486 
--> 487             response = handle_func_command(command)
    488 
    489             return response

~/Laboratory/openmined/PySyft/venv/lib/python3.6/site-packages/syft-0.2.0a2-py3.6.egg/syft/frameworks/torch/tensors/interpreters/native.py in handle_func_command(cls, command)
    321             # in the execute_command function
    322             if isinstance(args, tuple):
--> 323                 response = eval(cmd)(*args, **kwargs)
    324             else:
    325                 response = eval(cmd)(args, **kwargs)

RuntimeError: The size of tensor a (0) must match the size of tensor b (5) at non-singleton dimension 1