Process finished with exit code -1073741819 (0xC0000005)

[tian-gname]

This error is reported at the end when I run "test_main_plcp.py".
I tried to modify it according to online solutions, but none of them succeeded.
I haven't found a solution yet.
----------------------------The last part of the run results are as follows----------------------------------------------
INFO:tensorflow:Calling model_fn.
INFO:tensorflow:*** Features ***
INFO:tensorflow: name = fit_docspace_positions, shape = (?, 266)
INFO:tensorflow: name = fit_labelspace_positions, shape = (?, 54)
INFO:tensorflow: name = input_ids, shape = (?, 320)
INFO:tensorflow: name = input_mask, shape = (?, 320)
INFO:tensorflow: name = is_real_example, shape = (?,)
INFO:tensorflow: name = label_ids, shape = (?, 54)
INFO:tensorflow: name = pair, shape = (?, 2)
INFO:tensorflow: name = pair_target, shape = (?, 2)
INFO:tensorflow: name = segment_ids, shape = (?, 320)
INFO:tensorflow: name = token_label_ids, shape = (?, 320)
WARNING:tensorflow:From E:\LACO\ie\src\bert\modeling.py:171: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

WARNING:tensorflow:From E:\LACO\ie\src\bert\modeling.py:172: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.

WARNING:tensorflow:From E:\LACO\ie\src\bert\modeling.py:409: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

WARNING:tensorflow:From E:\LACO\ie\src\bert\modeling.py:490: The name tf.assert_less_equal is deprecated. Please use tf.compat.v1.assert_less_equal instead.

WARNING:tensorflow:From E:\LACO\ie\src\bert\modeling.py:671: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.Dense instead.
WARNING:tensorflow:From D:\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\layers\core.py:187: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.
Instructions for updating:
Please use layer.__call__ method instead.
WARNING:tensorflow:From D:\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\ops\nn_impl.py:183: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From D:\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\ops\resource_variable_ops.py:1630: calling BaseResourceVariable.init (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
Instructions for updating:
If using Keras pass *_constraint arguments to layers.
WARNING:tensorflow:From E:\LACO\ie\src\run_predicate_classification_plcp_test.py:781: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

Process finished with exit code -1073741819 (0xC0000005)

[Sweetsmile123]

This error is reported at the end when I run the first program file "train_main_plcp.py".
How did you solve it？

---

INFO:tensorflow:*** Features ***
INFO:tensorflow: name = fit_docspace_positions, shape = (?, 266)
INFO:tensorflow: name = fit_labelspace_positions, shape = (?, 54)
INFO:tensorflow: name = input_ids, shape = (?, 320)
INFO:tensorflow: name = input_mask, shape = (?, 320)
INFO:tensorflow: name = is_real_example, shape = (?,)
INFO:tensorflow: name = label_ids, shape = (?, 54)
INFO:tensorflow: name = pair, shape = (?, 2)
INFO:tensorflow: name = pair_target, shape = (?, 2)
INFO:tensorflow: name = segment_ids, shape = (?, 320)
INFO:tensorflow: name = token_label_ids, shape = (?, 320)
INFO:tensorflow:**** Trainable Variables ****
INFO:tensorflow: name = bert/embeddings/word_embeddings:0, shape = (28996, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/embeddings/token_type_embeddings:0, shape = (2, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/embeddings/position_embeddings:0, shape = (512, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/embeddings/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/embeddings/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/attention/self/query/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/attention/self/key/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/attention/self/value/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/attention/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/attention/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/kernel:0, shape = (768, 3072), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/intermediate/dense/bias:0, shape = (3072,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/output/dense/kernel:0, shape = (3072, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_0/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/attention/self/query/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/attention/self/key/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/attention/self/value/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/attention/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/attention/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/kernel:0, shape = (768, 3072), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/intermediate/dense/bias:0, shape = (3072,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/output/dense/kernel:0, shape = (3072, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_1/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/attention/self/query/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/attention/self/key/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/attention/self/value/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/attention/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/attention/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/kernel:0, shape = (768, 3072), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/intermediate/dense/bias:0, shape = (3072,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/output/dense/kernel:0, shape = (3072, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_2/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/attention/self/query/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/attention/self/key/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/attention/self/value/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/attention/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/attention/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/kernel:0, shape = (768, 3072), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/intermediate/dense/bias:0, shape = (3072,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/output/dense/kernel:0, shape = (3072, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_3/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/attention/self/query/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/attention/self/key/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/attention/self/value/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/attention/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/attention/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/kernel:0, shape = (768, 3072), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/intermediate/dense/bias:0, shape = (3072,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/output/dense/kernel:0, shape = (3072, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_4/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/attention/self/query/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/attention/self/key/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/attention/self/value/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/attention/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/attention/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/kernel:0, shape = (768, 3072), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/intermediate/dense/bias:0, shape = (3072,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/output/dense/kernel:0, shape = (3072, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_5/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/attention/self/query/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/attention/self/key/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/attention/self/value/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/attention/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/attention/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/kernel:0, shape = (768, 3072), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/intermediate/dense/bias:0, shape = (3072,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/output/dense/kernel:0, shape = (3072, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_6/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/attention/self/query/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/attention/self/key/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/attention/self/value/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/attention/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/attention/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/kernel:0, shape = (768, 3072), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/intermediate/dense/bias:0, shape = (3072,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/output/dense/kernel:0, shape = (3072, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_7/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/attention/self/query/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/attention/self/key/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/attention/self/value/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/attention/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/attention/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/kernel:0, shape = (768, 3072), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/intermediate/dense/bias:0, shape = (3072,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/output/dense/kernel:0, shape = (3072, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_8/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/attention/self/query/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/attention/self/key/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/attention/self/value/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/attention/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/attention/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/kernel:0, shape = (768, 3072), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/intermediate/dense/bias:0, shape = (3072,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/output/dense/kernel:0, shape = (3072, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_9/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/attention/self/query/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/attention/self/key/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/attention/self/value/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/attention/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/attention/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/kernel:0, shape = (768, 3072), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/intermediate/dense/bias:0, shape = (3072,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/output/dense/kernel:0, shape = (3072, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_10/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/attention/self/query/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/attention/self/key/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/attention/self/value/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/attention/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/attention/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/kernel:0, shape = (768, 3072), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/intermediate/dense/bias:0, shape = (3072,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/output/dense/kernel:0, shape = (3072, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/output/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/beta:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/encoder/layer_11/output/LayerNorm/gamma:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = bert/pooler/dense/kernel:0, shape = (768, 768), INIT_FROM_CKPT
INFO:tensorflow: name = bert/pooler/dense/bias:0, shape = (768,), INIT_FROM_CKPT
INFO:tensorflow: name = token_label_output_weight:0, shape = (54, 768)
INFO:tensorflow: name = token_label_output_bias:0, shape = (54,)
INFO:tensorflow: name = contrast_output_weight_1:0, shape = (64, 1536)
INFO:tensorflow: name = contrast_output_bias_1:0, shape = (64,)
INFO:tensorflow: name = contrast_output_weight_2:0, shape = (2, 64)
INFO:tensorflow: name = contrast_output_bias_2:0, shape = (2,)
INFO:tensorflow: name = Conv/weights:0, shape = (10, 10, 1, 54)
INFO:tensorflow: name = Conv/biases:0, shape = (54,)
INFO:tensorflow: name = token_label_loss/dense_37/kernel:0, shape = (1536, 2)
INFO:tensorflow: name = token_label_loss/dense_37/bias:0, shape = (2,)
ERROR from CLCE model

[EiraZhang]

You can remove "try ...exception... ". Please check your training data, it may be a bug in the data processing phase.

[dululuxi]

This error is reported at the end when I run "test_main_plcp.py". I tried to modify it according to online solutions, but none of them succeeded. I haven't found a solution yet. ----------------------------The last part of the run results are as follows---------------------------------------------- INFO:tensorflow:Calling model_fn. INFO:tensorflow:*** Features *** INFO:tensorflow: name = fit_docspace_positions, shape = (?, 266) INFO:tensorflow: name = fit_labelspace_positions, shape = (?, 54) INFO:tensorflow: name = input_ids, shape = (?, 320) INFO:tensorflow: name = input_mask, shape = (?, 320) INFO:tensorflow: name = is_real_example, shape = (?,) INFO:tensorflow: name = label_ids, shape = (?, 54) INFO:tensorflow: name = pair, shape = (?, 2) INFO:tensorflow: name = pair_target, shape = (?, 2) INFO:tensorflow: name = segment_ids, shape = (?, 320) INFO:tensorflow: name = token_label_ids, shape = (?, 320) WARNING:tensorflow:From E:\LACO\ie\src\bert\modeling.py:171: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

WARNING:tensorflow:From E:\LACO\ie\src\bert\modeling.py:172: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.

WARNING:tensorflow:From E:\LACO\ie\src\bert\modeling.py:409: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

WARNING:tensorflow:From E:\LACO\ie\src\bert\modeling.py:490: The name tf.assert_less_equal is deprecated. Please use tf.compat.v1.assert_less_equal instead.

WARNING:tensorflow:From E:\LACO\ie\src\bert\modeling.py:671: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.Dense instead. WARNING:tensorflow:From D:\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\layers\core.py:187: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version. Instructions for updating: Please use layer.__call__ method instead. WARNING:tensorflow:From D:\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\ops\nn_impl.py:183: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.where in 2.0, which has the same broadcast rule as np.where WARNING:tensorflow:From D:\Programs\Python\Python36\lib\site-packages\tensorflow_core\python\ops\resource_variable_ops.py:1630: calling BaseResourceVariable.init (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version. Instructions for updating: If using Keras pass *_constraint arguments to layers. WARNING:tensorflow:From E:\LACO\ie\src\run_predicate_classification_plcp_test.py:781: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

Process finished with exit code -1073741819 (0xC0000005)

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Hello, have you solved this problem?