I've checked How to print the value of a Tensor object in TensorFlow?. However doesn't seem to be working out of the box with skflow. E.g. tried like this :
with tf.Session():
word_vectors = skflow.ops.categorical_variable(X_test[0], n_classes=n_words,embedding_size=EMBEDDING_SIZE, name='words')
word_vectors.eval()
Also tried
sess = tf.InteractiveSession()
before calling word_vectors.eval(). But all this leads to crash:
Traceback (most recent call last):
File "/Users/mypc/Documents/scripts/scikitflow/small_rnn_test/test_load.py", line 32, in <module>
word_vectors.eval()
File "/Library/Python/2.7/site-packages/tensorflow/python/framework/ops.py", line 405, in eval
return _eval_using_default_session(self, feed_dict, self.graph, session)
File "/Library/Python/2.7/site-packages/tensorflow/python/framework/ops.py", line 2728, in _eval_using_default_session
return session.run(tensors, feed_dict)
File "/Library/Python/2.7/site-packages/tensorflow/python/client/session.py", line 345, in run
results = self._do_run(target_list, unique_fetch_targets, feed_dict_string)
File "/Library/Python/2.7/site-packages/tensorflow/python/client/session.py", line 419, in _do_run
e.code)
tensorflow.python.framework.errors.FailedPreconditionError: Attempting to use uninitialized value words/words_embeddings
[[Node: words/embedding_lookup/embedding_lookup = Gather[Tindices=DT_INT64, Tparams=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"](words/words_embeddings, words/embedding_lookup/Reshape)]]
Caused by op u'words/embedding_lookup/embedding_lookup', defined at:
File "/Users/mypc/Documents/scripts/scikitflow/small_rnn_test/test_load.py", line 31, in <module>
word_vectors = skflow.ops.categorical_variable(X_test[0], n_classes=n_words,embedding_size=EMBEDDING_SIZE, name='words')
File "/Library/Python/2.7/site-packages/skflow/ops/embeddings_ops.py", line 77, in categorical_variable
return embedding_lookup(embeddings, tensor_in)
File "/Library/Python/2.7/site-packages/skflow/ops/embeddings_ops.py", line 50, in embedding_lookup
embeds_flat = tf.nn.embedding_lookup(params, ids_flat, name)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/embedding_ops.py", line 46, in embedding_lookup
return array_ops.gather(params[0], ids, name=name)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 302, in gather
name=name)
File "/Library/Python/2.7/site-packages/tensorflow/python/ops/op_def_library.py", line 633, in apply_op
op_def=op_def)
File "/Library/Python/2.7/site-packages/tensorflow/python/framework/ops.py", line 1710, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/Library/Python/2.7/site-packages/tensorflow/python/framework/ops.py", line 988, in __init__
self._traceback = _extract_stack()
Does anybody know relatively easy way to look at content of Tensors created by skflow ?
It is not clear what error you are throwing but I got the error "Attempting to use uninitialized value words/words_embeddings". Initializing the variables fixed the error.
So the working code was:
word_vectors = skflow.ops.categorical_variable([1,2], n_classes=3,embedding_size=2, name='words')
with tf.Session() as sess:
tf.initialize_all_variables().run()
word_vectors.eval()
I have also moved the graph node word_vectors outside of the session context though that wasn't necessary to fix the error.