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2 years ago This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
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Environment
Issue Description
2021-10-23 14:35:16,906 [DEBUG] kashgari - ------------------------------------------------ 2021-10-23 14:35:16,906 [DEBUG] kashgari - Loaded transformer model's vocab 2021-10-23 14:35:16,906 [DEBUG] kashgari - config_path : chinese_wwm_ext_L-12_H-768_A-12\bert_config.json 2021-10-23 14:35:16,906 [DEBUG] kashgari - vocab_path : chinese_wwm_ext_L-12_H-768_A-12\vocab.txt 2021-10-23 14:35:16,906 [DEBUG] kashgari - checkpoint_path : chinese_wwm_ext_L-12_H-768_A-12\bert_model.ckpt 2021-10-23 14:35:16,906 [DEBUG] kashgari - Top 50 words : ['[PAD]', '[unused1]', '[unused2]', '[unused3]', '[unused4]', '[unused5]', '[unused6]', '[unused7]', '[unused8]', '[unused9]', '[unused10]', '[unused11]', '[unused12]', '[unused13]', '[unused14]', '[unused15]', '[unused16]', '[unused17]', '[unused18]', '[unused19]', '[unused20]', '[unused21]', '[unused22]', '[unused23]', '[unused24]', '[unused25]', '[unused26]', '[unused27]', '[unused28]', '[unused29]', '[unused30]', '[unused31]', '[unused32]', '[unused33]', '[unused34]', '[unused35]', '[unused36]', '[unused37]', '[unused38]', '[unused39]', '[unused40]', '[unused41]', '[unused42]', '[unused43]', '[unused44]', '[unused45]', '[unused46]', '[unused47]', '[unused48]', '[unused49]'] 2021-10-23 14:35:16,906 [DEBUG] kashgari - ------------------------------------------------ Preparing text vocab dict: 100%|██████████| 500/500 [00:00<00:00, 100012.02it/s] 2021-10-23 14:35:16,914 [DEBUG] kashgari - --- Build vocab dict finished, Total: 1153 --- 2021-10-23 14:35:16,914 [DEBUG] kashgari - Top-10: ['[PAD]', '[UNK]', '[CLS]', '[SEP]', '，', '的', '。', '机', '“', '”'] Preparing text vocab dict: 100%|██████████| 500/500 [00:00<00:00, 125009.06it/s] 2021-10-23 14:35:16,919 [DEBUG] kashgari - --- Build vocab dict finished, Total: 42 --- 2021-10-23 14:35:16,919 [DEBUG] kashgari - Top-10: ['[PAD]', 'O', 'I-飞机', 'I-舰船', 'B-飞机', 'I-航空母舰', 'I-导弹', 'B-舰船', 'I-部队', 'I-城市'] 2021-10-23 14:35:16.934857: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll 2021-10-23 14:35:17.019839: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected 2021-10-23 14:35:17.029292: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-D01NAD5 2021-10-23 14:35:17.029534: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-D01NAD5 2021-10-23 14:35:17.030544: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 2021-10-23 14:35:17.049853: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x19bde303610 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2021-10-23 14:35:17.050005: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version Calculating sequence length: 100%|██████████| 500/500 [00:00<?, ?it/s] 2021-10-23 14:35:25,599 [DEBUG] kashgari - Calculated sequence length = 132 2021-10-23 14:35:27,890 [DEBUG] kashgari - fit input shape: (2, 4, 132) 2021-10-23 14:35:27,890 [DEBUG] kashgari - fit input shape: (4, 132) WARNING:tensorflow:Gradients do not exist for variables ['k_conditional_random_field/transitions:0'] when minimizing the loss. WARNING:tensorflow:Gradients do not exist for variables ['k_conditional_random_field/transitions:0'] when minimizing the loss. WARNING:tensorflow:Gradients do not exist for variables ['k_conditional_random_field/transitions:0'] when minimizing the loss. WARNING:tensorflow:Gradients do not exist for variables ['k_conditional_random_field/transitions:0'] when minimizing the loss.
Reproduce
加入loss和metrics参数就会报错，如下。只有optimizer参数则不会出现此错误。 Thanks！ optimizer = tensorflow.keras.optimizers.Adam(lr=5e-5) model.compile_model(optimizer=optimizer, loss='sparse_categorical_crossentropy', metrics=['accuracy'])
Other Comment
类似的问题 https://github.com/tensorflow/tensorflow/issues/37501