复现遇见了问题

[Xiongzhiyu]

朋友，我想复现你的代码，始终报错AttributeError:` 'tuple' object has no attribute 'layer'，我想是keras或者tensorflow版本问题之类的，但是我的tensorflow==1.14.0,keras==2.2.4,keras_bert==0.69。

下面是python console： Using TensorFlow backend. 2022-03-15 17:08:49.172897: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA 2022-03-15 17:08:49.183220: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2100000000 Hz 2022-03-15 17:08:49.185943: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x557d590d8fb0 executing computations on platform Host. Devices: 2022-03-15 17:08:49.185966: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): , 2022-03-15 17:08:49.187178: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1 2022-03-15 17:08:49.199418: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties: name: GeForce RTX 2080 Ti major: 7 minor: 5 memoryClockRate(GHz): 1.545 pciBusID: 0000:1e:00.0 2022-03-15 17:08:49.199647: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0 2022-03-15 17:08:49.201180: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0 2022-03-15 17:08:49.202479: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcufft.so.10.0 2022-03-15 17:08:49.202802: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcurand.so.10.0 2022-03-15 17:08:49.204694: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusolver.so.10.0 2022-03-15 17:08:49.206051: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusparse.so.10.0 2022-03-15 17:08:49.210302: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7 2022-03-15 17:08:49.212597: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0 2022-03-15 17:08:49.212653: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0 2022-03-15 17:08:49.355199: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix: 2022-03-15 17:08:49.355240: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187] 0 2022-03-15 17:08:49.355247: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0: N 2022-03-15 17:08:49.358488: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1326] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7957 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:1e:00.0, compute capability: 7.5) 2022-03-15 17:08:49.360436: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x557d5caf6710 executing computations on platform CUDA. Devices: 2022-03-15 17:08:49.360459: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): GeForce RTX 2080 Ti, Compute Capability 7.5 kFlod 0 / 10 WARNING:tensorflow:From /root/miniconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. WARNING:tensorflow:From /root/miniconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead. WARNING:tensorflow:From /root/miniconda3/lib/python3.7/site-packages/tensorflow/python/keras/initializers.py:119: calling RandomUniform.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version. Instructions for updating: Call initializer instance with the dtype argument instead of passing it to the constructor Traceback (most recent call last): File "/root/miniconda3/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3437, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "", line 1, in runfile('/root/PycharmProjects/src/SEBERT_model.py', wdir='/root/PycharmProjects/src') File "/root/.pycharm_helpers/pydev/_pydev_bundle/pydev_umd.py", line 198, in runfile pydev_imports.execfile(filename, global_vars, local_vars) # execute the script File "/root/.pycharm_helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "/root/PycharmProjects/src/SEBERT_model.py", line 456, in model, train_model = modify_bert_model_3() File "/root/PycharmProjects/src/SEBERT_model.py", line 241, in modify_bert_model_3 bert_model = load_trained_model_from_checkpoint(config_path, checkpoint_path) File "/root/miniconda3/lib/python3.7/site-packages/keras_bert/loader.py", line 182, in load_trained_model_from_checkpoint adapter_units=adapter_units, File "/root/miniconda3/lib/python3.7/site-packages/keras_bert/loader.py", line 62, in build_model_from_config adapter_units=adapter_units, File "/root/miniconda3/lib/python3.7/site-packages/keras_bert/bert.py", line 105, in get_model dropout_rate=dropout_rate, File "/root/miniconda3/lib/python3.7/site-packages/keras_bert/layers/embedding.py", line 56, in get_embedding )(embed_layer) File "/root/miniconda3/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py", line 663, in call inputs, outputs, args, kwargs) File "/root/miniconda3/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py", line 1708, in _set_connectivitymetadata input_tensors=inputs, output_tensors=outputs, arguments=kwargs) File "/root/miniconda3/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py", line 1795, in _add_inbound_node input_tensors) File "/root/miniconda3/lib/python3.7/site-packages/tensorflow/python/util/nest.py", line 515, in map_structure structure[0], [func(x) for x in entries], File "/root/miniconda3/lib/python3.7/site-packages/tensorflow/python/util/nest.py", line 515, in structure[0], [func(x) for x in entries], File "/root/miniconda3/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py", line 1794, in inbound_layers = nest.map_structure(lambda t: t._keras_history.layer, AttributeError: 'tuple' object has no attribute 'layer'

[Menki123]

您好，铁子我复现遇到了同样的问题，您有解决办法了嘛

[Xiongzhiyu]

您好，铁子我复现遇到了同样的问题，您有解决办法了嘛

你解决了吗。。。。。

[Menki123]

哎没有 还是那个问题。我把tensorflow环境什么的都改了一下，还是不行，报错的问题和这个不一样，但也是卡死了解决不了。

------------------ 原始邮件 ------------------ 发件人: "hecongqing/CCKS2019_EventEntityExtraction_Rank5" @.>; 发送时间: 2022年3月18日(星期五) 下午3:58 @.>; @.**@.>; 主题: Re: [hecongqing/CCKS2019_EventEntityExtraction_Rank5] 复现遇见了问题 (Issue #6)

您好，铁子我复现遇到了同样的问题，您有解决办法了嘛

你解决了吗。。。。。

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[hecongqing]

keras-bert==0.69.0 这个库是对的吗

[hecongqing]

太久远了，我的机器已经没有这个环境了

[hecongqing]

已经更新了，现在可以运行了