ratsgo / embedding

한국어 임베딩 (Sentence Embeddings Using Korean Corpora)
https://ratsgo.github.io/embedding
MIT License
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문장 임베딩 모델 평가 관련 문의 드립니다. #113

Closed kksbell closed 3 years ago

kksbell commented 4 years ago

BERTEmbeddingEvaluator 로 모델 평가 해보려고

docker로 컨테이너 띄워서 bash sentmodel.sh download-pretrained-bert 진행하고 test.py를 다음과 같이 만들어서 실행했더니

import sys sys.path.append('models') from models.sent_eval import BERTEmbeddingEvaluator model = BERTEmbeddingEvaluator(model_fname="/notebooks/embedding/data/sentence-embeddings/bert/pretrain-ckpt", bertconfig_fname="/notebooks/embedding/data/sentence-embeddings/bert/pretrain-ckpt/bert_config.json", vocab_fname="/notebooks/embedding/data/sentence-embeddings/bert/pretrain-ckpt/vocab.txt")

model.predict("이 영화 엄청 재미있네요") # label 예측 model.get_token_vector_sequence("이 영화 엄청 재미있네요") # 토큰별 임베딩 추출 model.get_sentence_vector("이 영화 엄청 재미있네요")

다음과 같은 에러사항이 있어 질문 드립니다.

1.

2020-09-28 07:19:11.250226: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA Traceback (most recent call last): File "bert_test.py", line 7, in vocab_fname="/notebooks/embedding/data/sentence-embeddings/bert/pretrain-ckpt/vocab.txt") File "/notebooks/embedding/models/sent_eval.py", line 193, in init saver.restore(self.sess, checkpoint_path) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1534, in restore raise ValueError("Can't load save_path when it is None.") ValueError: Can't load save_path when it is None.


model_checkpoint_path: "bert_model.ckpt" all_model_checkpoint_paths: "bert_model.ckpt"

checkpoint 가 없어서 그런가 해서 checkpoint 파일을 위과 같이 만들고 test.py를 재실행 시켰더니 2번과 같은 에러가 발생했습니다.

2.

2020-09-28 07:13:54.288704: W tensorflow/core/framework/op_kernel.cc:1273] OP_REQUIRES failed at save_restore_v2_ops.cc:184 : Not found: Key fully_connected/biases not found in checkpoint Traceback (most recent call last): File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1334, in _do_call return fn(*args) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1319, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.NotFoundError: Key fully_connected/biases not found in checkpoint [[{{node save/RestoreV2}} = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1546, in restore {self.saver_def.filename_tensor_name: save_path}) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 929, in run run_metadata_ptr) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1152, in _run feed_dict_tensor, options, run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1328, in _do_run run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1348, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.NotFoundError: Key fully_connected/biases not found in checkpoint [[node save/RestoreV2 (defined at /notebooks/embedding/models/sent_eval.py:190) = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

Caused by op 'save/RestoreV2', defined at: File "bert_test.py", line 7, in vocab_fname="/notebooks/embedding/data/sentence-embeddings/bert/pretrain-ckpt/vocab.txt") File "/notebooks/embedding/models/sent_eval.py", line 190, in init saver = tf.train.Saver(tf.global_variables()) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1102, in init self.build() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1114, in build self._build(self._filename, build_save=True, build_restore=True) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1151, in _build build_save=build_save, build_restore=build_restore) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 795, in _build_internal restore_sequentially, reshape) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 406, in _AddRestoreOps restore_sequentially) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 862, in bulk_restore return io_ops.restore_v2(filename_tensor, names, slices, dtypes) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_io_ops.py", line 1466, in restore_v2 shape_and_slices=shape_and_slices, dtypes=dtypes, name=name) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/deprecation.py", line 488, in new_func return func(*args, **kwargs) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 3274, in create_op op_def=op_def) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1770, in init self._traceback = tf_stack.extract_stack()

NotFoundError (see above for traceback): Key fully_connected/biases not found in checkpoint [[node save/RestoreV2 (defined at /notebooks/embedding/models/sent_eval.py:190) = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1556, in restore names_to_keys = object_graph_key_mapping(save_path) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1830, in object_graph_key_mapping checkpointable.OBJECT_GRAPH_PROTO_KEY) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 371, in get_tensor status) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/errors_impl.py", line 528, in exit c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.NotFoundError: Key _CHECKPOINTABLE_OBJECT_GRAPH not found in checkpoint

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "bert_test.py", line 7, in vocab_fname="/notebooks/embedding/data/sentence-embeddings/bert/pretrain-ckpt/vocab.txt") File "/notebooks/embedding/models/sent_eval.py", line 193, in init saver.restore(self.sess, checkpoint_path) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1562, in restore err, "a Variable name or other graph key that is missing") tensorflow.python.framework.errors_impl.NotFoundError: Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

Key fully_connected/biases not found in checkpoint [[node save/RestoreV2 (defined at /notebooks/embedding/models/sent_eval.py:190) = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

Caused by op 'save/RestoreV2', defined at: File "bert_test.py", line 7, in vocab_fname="/notebooks/embedding/data/sentence-embeddings/bert/pretrain-ckpt/vocab.txt") File "/notebooks/embedding/models/sent_eval.py", line 190, in init saver = tf.train.Saver(tf.global_variables()) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1102, in init self.build() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1114, in build self._build(self._filename, build_save=True, build_restore=True) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1151, in _build build_save=build_save, build_restore=build_restore) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 795, in _build_internal restore_sequentially, reshape) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 406, in _AddRestoreOps restore_sequentially) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 862, in bulk_restore return io_ops.restore_v2(filename_tensor, names, slices, dtypes) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_io_ops.py", line 1466, in restore_v2 shape_and_slices=shape_and_slices, dtypes=dtypes, name=name) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/deprecation.py", line 488, in new_func return func(*args, **kwargs) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 3274, in create_op op_def=op_def) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1770, in init self._traceback = tf_stack.extract_stack()

NotFoundError (see above for traceback): Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

Key fully_connected/biases not found in checkpoint [[node save/RestoreV2 (defined at /notebooks/embedding/models/sent_eval.py:190) = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

도움 주시면 감사하겠습니다..!

ratsgo commented 3 years ago

@kksbell 님 안녕하세요 질문해주셔서 감사드립니다. 아래 코드는 파인튜닝이 완료된 모델에 대해 평가하는 역할을 합니다. 코드 6-34로 파인튜닝을 실시하면 /notebooks/embedding/data/sentence-embeddings/bert/tune-ckpt에 체크포인트가 생기는데요. 해당 경로를 아래 코드에서 model_fname에 넣어주면 됩니다.

import sys
sys.path.append('models')
from models.sent_eval import BERTEmbeddingEvaluator
model = BERTEmbeddingEvaluator(
    model_fname="/notebooks/embedding/data/sentence-embeddings/bert/tune-ckpt",
    bertconfig_fname="/notebooks/embedding/data/sentence-embeddings/bert/pretrain-ckpt/bert_config.json",
    vocab_fname="/notebooks/embedding/data/sentence-embeddings/bert/pretrain-ckpt/vocab.txt"
)

@kksbell 님께서는 해당 경로를 "/notebooks/embedding/data/sentence-embeddings/bert/pretrain-ckpt"로 지정하신 것 같은데요. 도서의 코드 6-34와 6-35를 순서대로 실행해보시면 좋을 것 같습니다.

kksbell commented 3 years ago

답변 남겨주셔서 감사합니다!! 많은 도움이 되었습니다!