ValueError: setting an array element with a sequence

[matt-dong]

def train(self,iterations=1000,save_dir="saved_models"):

Removing previous save directory if there is one

  if os.path.exists(save_dir):
      shutil.rmtree(save_dir)
  #Make new save directory
  os.mkdir(save_dir)
  #Just a tf thing, to merge all summaries into one
  merged = tf.summary.merge_all()
  #Using adam optimizer as mentioned in the paper
  optimizer = tf.train.AdamOptimizer()
  #This is the train operation for our objective
  train_op = optimizer.minimize(self.loss)    
  #Operation to initialize all variables
  init = tf.global_variables_initializer()
  print("Begin training...")
  with self.sess as sess:
      #Initialize all variables
      sess.run(init)
      test_exists = self.test_data
      #create summary writer for train
      train_writer = tf.summary.FileWriter(save_dir+"/train",sess.graph)
      #If we're using a test set, include another summary writer for that
      if test_exists:
          test_writer = tf.summary.FileWriter(save_dir+"/test",sess.graph)
          test_x,test_y = self.test_data(*self.test_args)
          test_feed = {self.input:test_x,self.target:test_y}
      #This is our training loop
      for i in tqdm(range(iterations)):
          #Use the data function we were passed to get a batch every iteration
          x,y = self.data(*self.args)
          #Create feed dictionary for the batch
          feed = {
              self.input:x,
              self.target:y
          }
          #Run the train op and calculate the train summary
          summary,_ = sess.run([merged,train_op],feed)
          #If we're testing, don't train on test set. But do calculate summary
          if test_exists:
              t_summary = sess.run(merged,test_feed)
              #Write test summary
              test_writer.add_summary(t_summary,i)
          #Write train summary for this step
          train_writer.add_summary(summary,i)
      #Save our trained model     
      self.save()

File "train.py", line 18, in network.train(args.iterations,args.savedir) File "/home/psoni/EDSR-Tensorflow/model.py", line 222, in train t_summary = sess.run(merged,test_feed) File "/home/psoni/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 895, in run run_metadata_ptr) File "/home/psoni/anaconda2/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1093, in _run np_val = np.asarray(subfeed_val, dtype=subfeed_dtype) File "/home/psoni/anaconda2/lib/python2.7/site-packages/numpy/core/numeric.py", line 531, in asarray return array(a, dtype, copy=False, order=order)

When training, this error message persistently pops up after a few epochs.

[jart]

This question is better asked on StackOverflow since it is not a bug or feature request. There is also a larger community that reads questions there. Thanks!