运行app.py时如下报错，是什么原因呢

[sunyrain]

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: Use tf.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

• Serving Flask app "app" (lazy loading)
• Environment: production WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
• Debug mode: off
• Running on all addresses. WARNING: This is a development server. Do not use it in a production deployment.
• Running on http://192.168.2.155:8808/ (Press CTRL+C to quit) 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`

[sunyrain]

新的后端报错 127.0.0.1 - - [31/Jul/2022 17:06:01] "POST /message HTTP/1.1" 500 - [2022-07-31 17:06:10,083] ERROR in app: Exception on /message [POST] Traceback (most recent call last): File "C:\Users\wenjie\anaconda3\lib\site-packages\flask\app.py", line 2447, in wsgi_app response = self.full_dispatch_request() File "C:\Users\wenjie\anaconda3\lib\site-packages\flask\app.py", line 1952, in full_dispatch_request rv = self.handle_user_exception(e) File "C:\Users\wenjie\anaconda3\lib\site-packages\flask\app.py", line 1821, in handle_user_exception reraise(exc_type, exc_value, tb) File "C:\Users\wenjie\anaconda3\lib\site-packages\flask\_compat.py", line 39, in reraise raise value File "C:\Users\wenjie\anaconda3\lib\site-packages\flask\app.py", line 1950, in full_dispatch_request rv = self.dispatch_request() File "C:\Users\wenjie\anaconda3\lib\site-packages\flask\app.py", line 1936, in dispatch_request return self.view_functions[rule.endpoint](**req.view_args) File "E:/Aiworks/Chatbot-tensowflow2.0/Seq2seqchatbot/web/app.py", line 43, in reply res_msg = execute.predict(req_msg) File "E:\Aiworks\Chatbot-tensowflow2.0\Seq2seqchatbot\execute.py", line 113, in predict inputs = tf.keras.preprocessing.sequence.pad_sequences([inputs],maxlen=max_length_inp,padding='post') File "C:\Users\wenjie\anaconda3\lib\site-packages\keras\utils\data_utils.py", line 1041, in pad_sequences trunc = np.asarray(trunc, dtype=dtype) File "C:\Users\wenjie\anaconda3\lib\site-packages\numpy\core\_asarray.py", line 102, in asarray return array(a, dtype, copy=False, order=order) ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (11,) + inhomogeneous part. 127.0.0.1 - - [31/Jul/2022 17:06:10] "POST /message HTTP/1.1" 500 - 2022-07-31 17:06:18 - heartbeat 2022-07-31 17:07:18 - heartbeat 2022-07-31 17:08:18 - heartbeat

[wxingheng]

一样报错

[TimVan1596]

同样的错误 setting an array element with a sequence.

[shirubei]

#152