ZeroDeploy: unhashable type: 'Tensor'

[rodrigobaron]

Heya,

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()
sess.run(init)
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)
        sess.run(train_step, 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, sess.run(accuracy, feed_dict={x: mnist.test.images, y_: mnist.test.labels})*100))
            conn.modules.sys.stdout.flush()
            #print("{0:3d} times\taccuracy: {1:.10f} %".format(i+100, sess.run(accuracy, feed_dict={x: mnist.test.images, y_: mnist.test.labels})*100))
        save_path = saver.save(sess, "/tmp/model.ckpt")

error log:

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

Python 3.6.2
Windows 10
RPyC 3.4.4

[coldfix]

Closed by #268.