training pipelined model:
Traceback (most recent call last):
File "keras_staging_area_cifar10.py", line 73, in <module>
callbacks=[staging_area_callback, gauge])
File "/home/bzamecnik/.virtualenvs/rossum/local/lib/python2.7/site-packages/keras/engine/training.py", line 1010, in fit
self._make_train_function()
File "/home/bzamecnik/.virtualenvs/rossum/local/lib/python2.7/site-packages/keras/engine/training.py", line 519, in _make_train_function
**self._function_kwargs)
File "/home/bzamecnik/.virtualenvs/rossum/local/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 2744, in function
return Function(inputs, outputs, updates=updates, **kwargs)
File "/home/bzamecnik/.virtualenvs/rossum/local/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 2567, in __init__
self.fetches = [tf.identity(x) for x in self.fetches]
File "/home/bzamecnik/.virtualenvs/rossum/local/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 81, in identity
return gen_array_ops.identity(input, name=name)
File "/home/bzamecnik/.virtualenvs/rossum/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 3454, in identity
"Identity", input=input, name=name)
File "/home/bzamecnik/.virtualenvs/rossum/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 513, in _apply_op_helper
raise err
TypeError: Can't convert Operation 'StagingArea_put' to Tensor (target dtype=None, name=u'input', as_ref=False)
The cause looks like the StagingArea.put operation is wrapped via tf.identity():
# (since the outputs of fetches are never returned).
2566 # This requires us to wrap fetches in `identity` ops.
-> 2567 self.fetches = [tf.identity(x) for x in self.fetches]
When running using tensoflow-1.12.0 and Keras-2.2.4:
I get the following error:
Similar: https://stackoverflow.com/questions/47750300/tensorflow-cant-convert-operation-to-tensor
The cause looks like the
StagingArea.put
operation is wrapped viatf.identity()
: