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huawei-noah / Pretrained-Language-Model

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
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INFO:tensorflow:Error recorded from training_loop: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for ../nezha/model.ckpt #17

Closed haiwentom closed 4 years ago

haiwentom commented 4 years ago

运行 Peoples-daily-NER 任务的时候出现问题：INFO:tensorflow:Error recorded from training_loop: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for ../nezha/model.ckpt

(tensorflow-gpu2) [wgpu@localhost scripts]$ sh run_seq_labelling.sh /home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) INFO:tensorflow:***********label_list of this task is ['O', 'B-PER', 'I-PER', 'B-ORG', 'I-ORG', 'B-LOC', 'I-LOC', 'X', '[CLS]', '[SEP]'] WARNING:tensorflow:Estimator's model_fn (<function model_fn_builder.<locals>.model_fn at 0x7f21fb2a8ea0>) includes params argument, but params are not passed to Estimator. INFO:tensorflow:Using config: {'_model_dir': '../output/peoples-daily-ner/', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': 100, '_save_checkpoints_secs': None, '_session_config': allow_soft_placement: true graph_options { rewrite_options { meta_optimizer_iterations: ONE } } , '_keep_checkpoint_max': 0, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': None, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f21fac42160>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1, '_tpu_config': TPUConfig(iterations_per_loop=1000, num_shards=8, num_cores_per_replica=None, per_host_input_for_training=3, tpu_job_name=None, initial_infeed_sleep_secs=None, input_partition_dims=None), '_cluster': None} INFO:tensorflow:_TPUContext: eval_on_tpu True WARNING:tensorflow:eval_on_tpu ignored because use_tpu is False. INFO:tensorflow:Writing example 0 of 230 INFO:tensorflow:*** Example *** INFO:tensorflow:guid: train-0 INFO:tensorflow:tokens: 当 希 望 工 程 救 助 的 百 万 儿 童 成 长 起 来 ， 科 教 兴 国 蔚 然 成 风 时 ， 今 天 有 收 藏 价 值 的 书 你 没 买 ， 明 日 就 叫 你 悔 不 当 初 ！ 藏 书 本 来 就 是 所 有 传 统 收 藏 门 类 中 的 第 一 大 户 ， 只 是 我 们 结 束 温 饱 的 时 间 太 短 而 已 。 INFO:tensorflow:input_ids: 101 2496 2361 3307 2339 4923 3131 1221 4638 4636 674 1036 4997 2768 7270 6629 3341 8024 4906 3136 1069 1744 5917 4197 2768 7599 3198 8024 791 1921 3300 3119 5966 817 966 4638 741 872 3766 743 8024 3209 3189 2218 1373 872 2637 679 2496 1159 8013 5966 741 3315 3341 2218 3221 2792 3300 837 5320 3119 5966 7305 5102 704 4638 5018 671 1920 2787 8024 1372 3221 2769 812 5310 3338 3946 7653 4638 3198 7313 1922 4764 5445 2347 511 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 INFO:tensorflow:segment_ids: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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training ***** INFO:tensorflow: Num examples = 230 INFO:tensorflow: Batch size = 16 INFO:tensorflow: Num steps = 143 INFO:tensorflow:Writing example 0 of 50 INFO:tensorflow:*** Example *** INFO:tensorflow:guid: dev-0 INFO:tensorflow:tokens: 美 国 的 华 莱 士 ， 我 和 他 谈 笑 风 生 。 INFO:tensorflow:input_ids: 101 5401 1744 4638 1290 5812 1894 8024 2769 1469 800 6448 5010 7599 4495 511 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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INFO:tensorflow:input_ids: 101 1963 3362 3300 782 7309 2769 8038 100 872 4692 6814 6387 1914 1259 1062 2767 8024 1525 671 1139 3297 1962 8043 100 2769 6206 3690 679 4310 6499 1765 1726 5031 6887 8038 100 5632 4197 3221 517 1259 1062 6628 7723 518 1568 8013 1259 1062 3684 4994 3221 1259 1062 8024 5735 3221 2940 749 1962 3030 6716 819 4638 784 720 1062 8024 912 6206 1044 3836 782 6858 2845 8024 4197 1400 4507 1310 1894 1184 1461 1400 2881 5445 1343 8024 1963 862 3389 2533 1139 2141 2658 8013 100 8020 7716 2533 8027 4514 8021 2110 739 1825 3315 3791 7556 1164 6816 1726 2495 3315 2845 6397 6389 1447 1086 6814 126 126 1921 8024 2769 1744 3124 2424 2199 2190 7676 3949 2612 1908 6121 886 712 3326 511 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 INFO:tensorflow:segment_ids: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 INFO:tensorflow:label_ids: 9 1 1 1 1 1 1 1 1 1 1 1 1 1 2 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 3 1 1 1 1 1 2 3 1 1 1 2 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 6 7 1 1 1 1 1 1 1 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 INFO:tensorflow:*** Example *** INFO:tensorflow:guid: dev-4 INFO:tensorflow:tokens: 在 香 港 回 归 前 的 最 后 阶 段 ， 中 共 中 央 举 办 《 [UNK] 一 国 两 制 [UNK] 与 香 港 基 本 法 》 讲 座 ， 中 央 领 导 同 志 认 真 听 讲 ， 虚 心 学 习 ， 很 有 意 义 。 INFO:tensorflow:input_ids: 101 1762 7676 3949 1726 2495 1184 4638 3297 1400 7348 3667 8024 704 1066 704 1925 715 1215 517 100 671 1744 697 1169 100 680 7676 3949 1825 3315 3791 518 6382 2429 8024 704 1925 7566 2193 1398 2562 6371 4696 1420 6382 8024 5994 2552 2110 739 8024 2523 3300 2692 721 511 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 INFO:tensorflow:input_mask: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 INFO:tensorflow:***** Running evaluation ***** INFO:tensorflow: Num examples = 50 INFO:tensorflow: Batch size = 16 INFO:tensorflow:Not using Distribute Coordinator. INFO:tensorflow:Running training and evaluation locally (non-distributed). INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps 100 or save_checkpoints_secs None. WARNING:tensorflow:From /home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. WARNING:tensorflow:From ../run_classifier_ner.py:564: map_and_batch (from tensorflow.contrib.data.python.ops.batching) is deprecated and will be removed in a future version. Instructions for updating: Usetf.data.experimental.map_and_batch(...). WARNING:tensorflow:From ../run_classifier_ner.py:545: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. INFO:tensorflow:Calling model_fn. INFO:tensorflow:Running train on CPU INFO:tensorflow:*** Features *** INFO:tensorflow: name = input_ids, shape = (16, 256) INFO:tensorflow: name = input_mask, shape = (16, 256) INFO:tensorflow: name = label_ids, shape = (16, 256) INFO:tensorflow: name = segment_ids, shape = (16, 256) WARNING:tensorflow:From /home/wgpu/deep/Pretrained-Language-Model/NEZHA/modeling.py:365: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version. Instructions for updating: Please userateinstead ofkeep_prob. Rate should be set torate = 1 - keep_prob. INFO:tensorflow:use_relative_position: True WARNING:tensorflow:From /home/wgpu/deep/Pretrained-Language-Model/NEZHA/modeling.py:908: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.dense instead. INFO:tensorflow:Error recorded from training_loop: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for ../nezha/model.ckpt INFO:tensorflow:training_loop marked as finished WARNING:tensorflow:Reraising captured error Traceback (most recent call last): File "../run_classifier_ner.py", line 1124, in <module> tf.app.run() File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run _sys.exit(main(argv)) File "../run_classifier_ner.py", line 1035, in main tf.estimator.train_and_evaluate(estimator, train_spec, eval_spec) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 471, in train_and_evaluate return executor.run() File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 611, in run return self.run_local() File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 712, in run_local saving_listeners=saving_listeners) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 2457, in train rendezvous.raise_errors() File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/error_handling.py", line 128, in raise_errors six.reraise(typ, value, traceback) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/six.py", line 696, in reraise raise value File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 2452, in train saving_listeners=saving_listeners) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 358, in train loss = self._train_model(input_fn, hooks, saving_listeners) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1124, in _train_model return self._train_model_default(input_fn, hooks, saving_listeners) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1154, in _train_model_default features, labels, model_fn_lib.ModeKeys.TRAIN, self.config) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 2251, in _call_model_fn config) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1112, in _call_model_fn model_fn_results = self._model_fn(features=features, **kwargs) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 2534, in _model_fn features, labels, is_export_mode=is_export_mode) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 1323, in call_without_tpu return self._call_model_fn(features, labels, is_export_mode=is_export_mode) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 1593, in _call_model_fn estimator_spec = self._model_fn(features=features, **kwargs) File "../run_classifier_ner.py", line 705, in model_fn ) = modeling.get_assignment_map_from_checkpoint(tvars, init_checkpoint) File "/home/wgpu/deep/Pretrained-Language-Model/NEZHA/modeling.py", line 336, in get_assignment_map_from_checkpoint init_vars = tf.train.list_variables(init_checkpoint) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/training/checkpoint_utils.py", line 95, in list_variables reader = load_checkpoint(ckpt_dir_or_file) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/training/checkpoint_utils.py", line 64, in load_checkpoint return pywrap_tensorflow.NewCheckpointReader(filename) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 326, in NewCheckpointReader return CheckpointReader(compat.as_bytes(filepattern), status) File "/home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 528, in __exit__ c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for ../nezha/model.ckpt /home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:528: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:529: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:530: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /home/wgpu/.conda/envs/tensorflow-gpu2/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:535: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) Traceback (most recent call last): File "../read_tf_events.py", line 24, in <module> events_name_list = os.listdir(os.path.join(args.task_output_dir, "eval")) FileNotFoundError: [Errno 2] No such file or directory: '../output/peoples-daily-ner/eval'

dsl-light commented 4 years ago

"Failed to find any matching files for ../nezha/model.ckpt", 应该是没有读取到预训练nezha模型，可以检查下 下载的nezha模型的路径及命名.

chuzhifeng commented 3 years ago

我也遇到了相同的问题，请问楼主是怎么解决的？