>>> x = tf.Variable(10) # integer type
>>> tf.gradients(x,x)
[None]
>>> sess.run(tf.gradients(x,x))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 929, in run
run_metadata_ptr)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1137, in _run
self._graph, fetches, feed_dict_tensor, feed_handles=feed_handles)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 471, in __init__
self._fetch_mapper = _FetchMapper.for_fetch(fetches)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 261, in for_fetch
return _ListFetchMapper(fetch)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 370, in __init__
self._mappers = [_FetchMapper.for_fetch(fetch) for fetch in fetches]
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 258, in for_fetch
type(fetch)))
TypeError: Fetch argument None has invalid type <type 'NoneType'>
>>> x = tf.Variable(10.0) # float type
>>> tf.gradients(x,x)
[<tf.Tensor 'gradients_6/Fill:0' shape=() dtype=float32>]
>>> sess.run(tf.gradients(x,x))
[1.0]
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