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bloomsburyai / question-generation

Neural text-to-text question generation
MIT License
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error when trying to run demo #5

Closed rpoli40 closed 5 years ago

rpoli40 commented 5 years ago

./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)]]

tomhosking commented 5 years ago

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 be134175652204f3bf51cb194454d7b72c8b8105 with the current saved models.