运行app.py时如下报错，是什么原因呢 #141
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新的后端报错 |
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一样报错 |
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同样的错误 setting an array element with a sequence. |
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D:\anaco\python.exe D:/gitworks/chatbot-master/chatbot-master/Chatbot-tensowflow2.0/Seq2seqchatbot/web/app.py 2022-07-29 15:20:47.633892: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found 2022-07-29 15:20:47.633993: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. WARNING:tensorflow:From D:\gitworks\chatbot-master\chatbot-master\Chatbot-tensowflow2.0\Seq2seqchatbot\seq2seqModel.py:4: experimental_run_functions_eagerly (from tensorflow.python.eager.def_function) is deprecated and will be removed in a future version. Instructions for updating: Usetf.config.run_functions_eagerly` instead of the experimental version.2022-07-29 15:20:49.307136: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2022-07-29 15:20:49.307255: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2022-07-29 15:20:49.309705: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: LAPTOP-UEUEEB6P
2022-07-29 15:20:49.309823: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: LAPTOP-UEUEEB6P
2022-07-29 15:20:49.310104: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
D:\gitworks\chatbot-master\chatbot-master\Chatbot-tensowflow2.0\Seq2seqchatbot\web/train_data\seq.data
D:\gitworks\chatbot-master\chatbot-master\Chatbot-tensowflow2.0\Seq2seqchatbot/D:\gitworks\chatbot-master\chatbot-master\Chatbot-tensowflow2.0\Seq2seqchatbot\web/train_data\seq.data
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
WARNING: This is a development server. Do not use it in a production deployment.
192.168.2.155 - - [29/Jul/2022 15:21:01] "GET / HTTP/1.1" 200 -
192.168.2.155 - - [29/Jul/2022 15:21:01] "GET /static/res/hd2.jpg HTTP/1.1" 404 -
Building prefix dict from the default dictionary ...
Loading model from cache C:\Users\WENJIE~1\AppData\Local\Temp\jieba.cache
2
Loading model cost 0.477 seconds.
Prefix dict has been built successfully.
C:\Users\WENJIE_2021\AppData\Roaming\Python\Python39\site-packages\numpy\core_asarray.py:83: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
return array(a, dtype, copy=False, order=order)
[2022-07-29 15:21:05,122] ERROR in app: Exception on /message [POST]
TypeError: int() argument must be a string, a bytes-like object or a number, not 'list'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "D:\anaco\lib\site-packages\flask\app.py", line 2447, in wsgi_app
response = self.full_dispatch_request()
File "D:\anaco\lib\site-packages\flask\app.py", line 1952, in full_dispatch_request
rv = self.handle_user_exception(e)
File "D:\anaco\lib\site-packages\flask\app.py", line 1821, in handle_user_exception
reraise(exc_type, exc_value, tb)
File "D:\anaco\lib\site-packages\flask_compat.py", line 39, in reraise
raise value
File "D:\anaco\lib\site-packages\flask\app.py", line 1950, in full_dispatch_request
rv = self.dispatch_request()
File "D:\anaco\lib\site-packages\flask\app.py", line 1936, in dispatch_request
return self.view_functionsrule.endpoint
File "D:\gitworks\chatbot-master\chatbot-master\Chatbot-tensowflow2.0\Seq2seqchatbot\web\app.py", line 44, in reply
res_msg = execute.predict(req_msg)
File "D:\gitworks\chatbot-master\chatbot-master\Chatbot-tensowflow2.0\Seq2seqchatbot\execute.py", line 117, in predict
inputs = tf.keras.preprocessing.sequence.pad_sequences([inputs],maxlen=max_length_inp,padding='post')
File "C:\Users\WENJIE_2021\AppData\Roaming\Python\Python39\site-packages\keras\preprocessing\sequence.py", line 152, in pad_sequences
return sequence.pad_sequences(
File "C:\Users\WENJIE_2021\AppData\Roaming\Python\Python39\site-packages\keras_preprocessing\sequence.py", line 98, in pad_sequences
trunc = np.asarray(trunc, dtype=dtype)
File "C:\Users\WENJIE_2021\AppData\Roaming\Python\Python39\site-packages\numpy\core_asarray.py", line 83, in asarray
return array(a, dtype, copy=False, order=order)
ValueError: setting an array element with a sequence.
192.168.2.155 - - [29/Jul/2022 15:21:05] "POST /message HTTP/1.1" 500 -
2022-07-29 15:21:59 - heartbeat`
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