The code works fine on GPU and CPU.But when I use keras_to_tpu_model function to make the model able to run on TPU, the error occurred.
This is the full output on colab:https://colab.research.google.com/gist/WangHexie/2252beb26f16354cb6e9ba2639970e5b/tpu-error.ipynb
Change runtype to TPU,I think this can be reproduced.
Code on github:https://github.com/WangHexie/DHNE/blob/master/src/hypergraph_embedding.py#L60
You can test the code on GPU by changing to the gpu branch.
Traceback
Traceback (most recent call last):
File "src/hypergraph_embedding.py", line 158, in <module>
h.train(dataset)
File "src/hypergraph_embedding.py", line 75, in train
epochs=self.options.epochs_to_train, verbose=1)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/keras/engine/training.py", line 2177, in fit_generator
initial_epoch=initial_epoch)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/keras/engine/training_generator.py", line 176, in fit_generator
x, y, sample_weight=sample_weight, class_weight=class_weight)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/keras/engine/training.py", line 1940, in train_on_batch
outputs = self.train_function(ins)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/tpu/python/tpu/keras_support.py", line 1238, in __call__
infeed_manager)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/tpu/python/tpu/keras_support.py", line 1143, in _tpu_model_ops_for_input_specs
infeed_manager)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/tpu/python/tpu/keras_support.py", line 1053, in _specialize_model
_model_fn, inputs=[[]] * self._tpu_assignment.num_towers)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/tpu/python/tpu/tpu.py", line 687, in split_compile_and_replicate
outputs = computation(*computation_inputs)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/tpu/python/tpu/keras_support.py", line 959, in _model_fn
self.model.cpu_optimizer)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/tpu/python/tpu/keras_support.py", line 378, in _clone_optimizer
config = optimizer.get_config()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/keras/optimizers.py", line 275, in get_config
'lr': float(K.get_value(self.lr)),
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/keras/backend.py", line 2709, in get_value
return x.eval(session=get_session())
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/keras/backend.py", line 469, in get_session
_initialize_variables(session)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/keras/backend.py", line 731, in _initialize_variables
[variables_module.is_variable_initialized(v) for v in candidate_vars])
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 484, in __init__
self._assert_fetchable(graph, fetch.op)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 497, in _assert_fetchable
'Operation %r has been marked as not fetchable.' % op.name)
ValueError: Operation u'tpu_140276544043536/VarIsInitializedOp' has been marked as not fetchable.
I have a same issue which confuses me two days. I find a solution is that just switch to using tf.train.RMSPropOptimizer instead of using RMSProp from tensorflow.keras.optimizers.
来源：https://stackoverflow.com/questions/52940552/valueerror-operation-utpu-140462710602256-varisinitializedop-has-been-marked