error when trying to run demo
rpoli40 opened this issue · 1 comments
./demo.sh --model_type MALUUBA --context_as_set --glove_vocab
WARNING:tensorflow:From /home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Use the retry module or similar alternatives.
Spinning up AQ demo app
WARNING:tensorflow:From /home/ec2-user/SageMaker/question-generation-master/src/seq2seq_model.py:418: calling reduce_sum (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.
Instructions for updating:
keep_dims is deprecated, use keepdims instead
Modifying Seq2Seq model to incorporate RL rewards
Total number of trainable parameters: 40934753
2018-11-07 18:40:24.744655: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Traceback (most recent call last):
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1327, in _do_call
return fn(*args)
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1312, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1420, in _call_tf_sessionrun
status, run_metadata)
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 516, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [3072,768] rhs shape= [1536,768]
[[Node: save/Assign_4 = Assign[T=DT_FLOAT, _class=["loc:@attn_mech/memory_layer/kernel"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](attn_mech/memory_layer/kernel, save/RestoreV2:4)]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "./src/demo/app.py", line 80, in
init()
File "./src/demo/app.py", line 77, in init
app.generator.load_from_chkpt(chkpt_path)
File "/home/ec2-user/SageMaker/question-generation-master/src/demo/instance.py", line 33, in load_from_chkpt
saver.restore(self.sess, tf.train.latest_checkpoint(path))
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1775, in restore
{self.saver_def.filename_tensor_name: save_path})
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 905, in run
run_metadata_ptr)
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1140, in _run
feed_dict_tensor, options, run_metadata)
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1321, in _do_run
run_metadata)
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1340, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [3072,768] rhs shape= [1536,768]
[[Node: save/Assign_4 = Assign[T=DT_FLOAT, _class=["loc:@attn_mech/memory_layer/kernel"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](attn_mech/memory_layer/kernel, save/RestoreV2:4)]]
Caused by op 'save/Assign_4', defined at:
File "./src/demo/app.py", line 80, in
init()
File "./src/demo/app.py", line 77, in init
app.generator.load_from_chkpt(chkpt_path)
File "/home/ec2-user/SageMaker/question-generation-master/src/demo/instance.py", line 32, in load_from_chkpt
saver = tf.train.Saver()
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1311, in init
self.build()
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1320, in build
self._build(self._filename, build_save=True, build_restore=True)
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1357, in _build
build_save=build_save, build_restore=build_restore)
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 809, in _build_internal
restore_sequentially, reshape)
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 470, in _AddRestoreOps
assign_ops.append(saveable.restore(saveable_tensors, shapes))
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 162, in restore
self.op.get_shape().is_fully_defined())
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/ops/state_ops.py", line 281, in assign
validate_shape=validate_shape)
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/ops/gen_state_ops.py", line 61, in assign
use_locking=use_locking, name=name)
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3290, in create_op
op_def=op_def)
File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1654, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [3072,768] rhsshape= [1536,768]
[[Node: save/Assign_4 = Assign[T=DT_FLOAT, _class=["loc:@attn_mech/memory_layer/kernel"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](attn_mech/memory_layer/kernel, save/RestoreV2:4)]]
Apologies, the latest commit is a breaking change and the saved model isn't compatible. I'll update the readme, in the meantime please use commit be13417 with the current saved models.