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ZeroDeploy: unhashable type: 'Tensor' #267

rodrigobaron opened this issue May 9, 2018 · 1 comment

ZeroDeploy: unhashable type: 'Tensor' #267

rodrigobaron opened this issue May 9, 2018 · 1 comment


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@rodrigobaron rodrigobaron commented May 9, 2018


I did try using Tensorflow with ZeroDeploy, seems the problem is with BaseNetref 'hash' attr..
code to reproduce:

from __future__ import print_function

import rpyc
from rpyc.utils.zerodeploy import DeployedServer
from plumbum import SshMachine

mach = SshMachine("rodrigo@server")
server = DeployedServer(mach)
conn = server.classic_connect()

import sys
conn.modules.sys.stdout = sys.stdout

np = conn.modules.numpy
tf = conn.modules.tensorflow
input_data = conn.modules['tensorflow.examples.tutorials.mnist'].input_data
mnist = input_data.read_data_sets("/tmp/MNIST_data/", one_hot=True, source_url="none")

x = tf.placeholder(tf.float32, [None, 784])
W = tf.Variable(tf.zeros([784, 10]))
b = tf.Variable(tf.zeros([10]))

y = tf.nn.softmax(tf.matmul(x, W) + b)

y_ = tf.placeholder(tf.float32, [None, 10])
cross_entropy = tf.reduce_mean(-tf.reduce_sum(y_ * tf.log(y), reduction_indices=[1]))
train_step = tf.train.GradientDescentOptimizer(0.5).minimize(cross_entropy)

init = tf.global_variables_initializer()

saver = tf.train.Saver()
sess = tf.Session()
for e in range(20):
    if conn.modules.os.path.exists("/tmp/model.ckpt"):
        saver.restore(sess, "/tmp/model.ckpt")
    for i in range(10):
        batch_xs, batch_ys = mnist.train.next_batch(100), feed_dict={x: batch_xs, y_: batch_ys})
        if i % 10 == 0:
            correct_prediction = tf.equal(tf.argmax(y,1), tf.argmax(y_,1))
            accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
            conn.modules.sys.stdout.write("{0:3d} times\taccuracy: {1:.10f} %\n".format(i+100,, feed_dict={x: mnist.test.images, y_: mnist.test.labels})*100))
            #print("{0:3d} times\taccuracy: {1:.10f} %".format(i+100,, feed_dict={x: mnist.test.images, y_: mnist.test.labels})*100))
        save_path =, "/tmp/model.ckpt")

error log:

Traceback (most recent call last):
  File "", line 30, in <module>, feed_dict={x: batch_xs, y_: batch_ys})
TypeError: unhashable type: 'Tensor'

Python 3.6.2
Windows 10
RPyC 3.4.4

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@coldfix coldfix commented May 11, 2018

Closed by #268.

@coldfix coldfix closed this May 11, 2018
coldfix added a commit that referenced this issue Jun 11, 2018
This release brings a few minor backward incompatibilities, so be sure to read
on before upgrading. However, fear not: the ones that are most likely relevant
to you have a relatively simple migration path.

Backward Incompatibilities

* ``classic.teleport_function`` now executes the function in the connection's
  namespace by default. To get the old behaviour, use
  ``teleport_function(conn, func, conn.modules[func.__module__].__dict__)``

* Changed signature of ``Service.on_connect`` and ``on_disconnect``, adding
  the connection as argument.

* Changed signature of ``Service.__init__``, removing the connection argument

* no longer store connection as ``self._conn``. (allows services that serve
  multiple clients using the same service object, see `#198`_).

* ``SlaveService`` is now split into two asymetric classes: ``SlaveService``
  and ``MasterService``. The slave exposes functionality to the master but can
  not anymore access remote objects on the master (`#232`_, `#248`_).
  If you were previously using ``SlaveService``, you may experience problems
  when feeding the slave with netrefs to objects on the master. In this case, do
  any of the following:

  * use ``ClassicService`` (acts exactly like the old ``SlaveService``)
  * use ``SlaveService`` with a ``config`` that allows attribute access etc
  * use ``rpyc.utils.deliver`` to feed copies rather than netrefs to
    the slave

* ``RegistryServer.on_service_removed`` is once again called whenever a service
  instance is removed, making it symmetric to ``on_service_added`` (`#238`_)
  This reverts PR `#173`_ on issue `#172`_.

* Removed module ``rpyc.experimental.splitbrain``. It's too confusing and
  undocumented for me and I won't be developing it, so better remove it
  altogether. (It's still available in the ``splitbrain`` branch)

* Removed module ``rpyc.experimental.retunnel``. Seemingly unused anywhere, no
  documentation, no clue what this is about.

* ``bin/`` will bind to ```` instead of ```` by

* ``SlaveService`` no longer serves exposed attributes (i.e., it now uses

* Exposed attributes no longer hide plain attributes if one otherwise has the
  required permissions to access the plain attribute. (`#165`_)

.. _#165: #165
.. _#172: #172
.. _#173: #173
.. _#198: #198
.. _#232: #232
.. _#238: #238
.. _#248: #248

What else is new

* teleported functions will now be defined by default in the globals dict

* Can now explicitly specify globals for teleported functions

* Can now use streams as context manager

* keep a hard reference to connection in netrefs, may fix some ``EOFError``
  issues, in particular on Jython related (`#237`_)

* handle synchronous and asynchronous requests uniformly

* fix deadlock with connections talking to each other multithreadedly (`#270`_)

* handle timeouts cumulatively

* fix possible performance bug in ``Win32PipeStream.poll`` (oversleeping)

* use readthedocs theme for documentation (`#269`_)

* actually time out sync requests (`#264`_)

* clarify documentation concerning exceptions in ```` (`#265`_)

* fix ``__hash__`` for netrefs (`#267`_, `#268`_)

* rename ``async`` module to ``async_`` for py37 compatibility (`#253`_)

* fix ``deliver()`` from IronPython to CPython2 (`#251`_)

* fix brine string handling in py2 IronPython (`#251`_)

* add gevent_ Server. For now, this requires using ``gevent.monkey.patch_all()``
  before importing for rpyc. Client connections can already be made without
  further changes to rpyc, just using gevent's monkey patching. (`#146`_)

* add function ``rpyc.lib.spawn`` to spawn daemon threads

* fix several bugs in ``bin/`` that crashed this script on startup

* fix problem with MongoDB, or more generally any remote objects that have a
  *catch-all* ``__getattr__`` (`#165`_)

* fix bug when copying remote numpy arrays (`#236`_)

* added ``rpyc.utils.helpers.classpartial`` to bind arguments to services (`#244`_)

* can now pass services optionally as instance or class (could only pass as
  class, `#244`_)

* The service is now charged with setting up the connection, doing so in
  ``Service._connect``. This allows using custom protocols by e.g. subclassing
  ``Connection``.  More discussions and related features in `#239`_-`#247`_.

* service can now easily override protocol handlers, by updating
  ``conn._HANDLERS`` in ``_connect`` or ``on_connect``. For example:
  ``conn._HANDLERS[HANDLE_GETATTR] = self._handle_getattr``.

* most protocol handlers (``Connection._handle_XXX``) now directly get the
  object rather than its ID as first argument. This makes overriding
  individual handlers feel much more high-level. And by the way it turns out
  that this fixes two long-standing issues (`#137`_, `#153`_)

* fix bug with proxying context managers (`#228`_)

* expose server classes from ``rpyc`` top level module

* fix logger issue on jython

.. _#137: #137
.. _#146: #146
.. _#153: #153
.. _#165: #165
.. _#228: #228
.. _#231: #231
.. _#236: #236
.. _#237: #237
.. _#239: #239
.. _#244: #244
.. _#247: #247
.. _#251: #251
.. _#253: #253
.. _#264: #264
.. _#265: #265
.. _#267: #267
.. _#268: #268
.. _#269: #269
.. _#270: #270

.. _gevent:
coldfix added a commit that referenced this issue Sep 6, 2018
py3 does not handle `__cmp__`.

Note further that python3 implicitly adds `__hash__=None` to the class
members during class construction if there is an `__eq__` defined. The
result is that we see errors like this:

    class X:
        def __hash__(self):
            return hash(self.val)
        def __eq__(self, other):
            return self.val == other.val

    >>> hash(conn.modules.__main__.X())
    TypeError: unhashable instance

To fix this we need to either have `__hash__` AND the comparison methods
in `_local_netref_attrs`or neither of them.

Fixes #280, #293, #267
Closes #281
Supersedes #268
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