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_connectivity_metadata
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'
您好，铁子我复现遇到了同样的问题，您有解决办法了嘛
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。。。。。
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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keras-bert==0.69.0 这个库是对的吗
CCKS2019_EventEntityExtraction_Rank5 copied to clipboard
hecongqing
