TypeError: cannot unpack non-iterable NoneType object

[KODGV]

Prerequisites

Please fill in by replacing [ ] with [x].

• Are you running the latest bert-as-service?
• Did you follow the installation and the usage instructions in README.md?
• Did you check the FAQ list in README.md?
• Did you perform a cursory search on existing issues?

System information

Some of this information can be collected via this script.

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04):windows10
• TensorFlow installed from (source or binary):
• TensorFlow version:1.13.0
• Python version:3.7
• bert-as-service version: latest
• GPU model and memory: 2080 8G
• CPU model and memory: AMD 40G

---

Description

Please replace YOUR_SERVER_ARGS and YOUR_CLIENT_ARGS accordingly. You can also write your own description for reproducing the issue.

I'm using this command to start the server:

bert-serving-start -model_dir D:\chinese_L-12_H-768_A-12\ -num_worker=4

Then this issue shows up:

Traceback (most recent call last):
File "c:\users\kodgv\anaconda3\lib\runpy.py", line 193, in run_module_as_main
"main", mod_spec)
File "c:\users\kodgv\anaconda3\lib\runpy.py", line 85, in run_code
exec(code, run_globals)
File "C:\Users\KODGV\Anaconda3\Scripts\bert-serving-start.exe_main.py", line 9, in
File "c:\users\kodgv\anaconda3\lib\site-packages\bert_serving\server\cli_init.py", line 5, in main
server = BertServer(args)
File "c:\users\kodgv\anaconda3\lib\site-packages\bert_serving\server_init_.py", line 70, in init
self.graph_path, self.bert_config = pool.apply(optimize_graph, (self.args,))
TypeError: cannot unpack non-iterable NoneType object

i'm using the full path of the files

[KODGV]

it seems there may be some problems with the latest tensorflow version. i downgrade tensorflow-gpu==1.12.0 to fix the problem.

[NidhiRustagi]

Updated the latest version of Tensorflow and have given absolute path still the same error

[rowhitswami]

For those who are on a CPU:
Follow these two steps if you're getting the same error.

1. pip uninstall current_version_of_tf
2. pip install tensorflow==1.13.0rc1

[KODGV]

在lib\bert_serving\server\graph.py 中引入
import traceback方法，
在150行（except Exception :后面）插入语句traceback.print_exc()。重新运行，打印出配置失败的原因是目录没对。重新检查目录后成功。所以，正确方法是打印出真正的错误原因

谷歌了很多，最后发现只有打印出真正的错误原因才可以解决。这是真的可以解决方法

[Tao-Han]

Because tensorflow has no logging
The traceback error: AttributeError: module 'tensorflow' has no attribute 'logging'
So downgrade the version.

[Sarvash]

My issue was with the pre-trained model I was trying to use. Check whether you get the same error with the original pre-trained BERT models.

[temberature]

For those who are on a CPU: Follow these two steps if you're getting the same error.

1. pip uninstall current_version_of_tf
2. pip install tensorflow==1.13.0rc1

pip install tensorflow==1.13.1 also ok

[leren123]

hello,

greetings to all... i tried to activate BERT and this is what i've got :

(base) C:\Users\r>conda activate bert_server_test

(bert_server_test) C:\Users\r>bert-serving-start -model_dir E:\uncased_L-12_H-768_A-12\uncased_L-12_H-768_A-12\ -num_worker=1 -cpu
2022-09-27 00:08:50.944272: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2022-09-27 00:08:50.944453: 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.
C:\Users\r.conda\envs\bert_server_test\lib\site-packages\bert_serving\server\helper.py:176: UserWarning: Tensorflow 2.4.0 is not tested! It may or may not work. Feel free to submit an issue at https://github.com/hanxiao/bert-as-service/issues/
'Feel free to submit an issue at https://github.com/hanxiao/bert-as-service/issues/' % tf.version)
usage: C:\Users\r.conda\envs\bert_server_test\Scripts\bert-serving-start -model_dir E:\uncased_L-12_H-768_A-12\uncased_L-12_H-768_A-12\ -num_worker=1 -cpu
ARG VALUE

---

       ckpt_name = bert_model.ckpt
     config_name = bert_config.json
            cors = *
             cpu = True
      device_map = []
   do_lower_case = True

fixed_embed_length = False
fp16 = False
gpu_memory_fraction = 0.5
graph_tmp_dir = None
http_max_connect = 10
http_port = None
mask_cls_sep = False
max_batch_size = 256
max_seq_len = 25
model_dir = E:\uncased_L-12_H-768_A-12\uncased_L-12_H-768_A-12
no_position_embeddings = False
no_special_token = False
num_worker = 1
pooling_layer = [-2]
pooling_strategy = REDUCE_MEAN
port = 5555
port_out = 5556
prefetch_size = 10
priority_batch_size = 16
show_tokens_to_client = False
tuned_model_dir = None
verbose = False
xla = False

I:←[35mVENTILATOR←[0m:freeze, optimize and export graph, could take a while...
2022-09-27 00:08:53.953735: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2022-09-27 00:08:53.953890: 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.
C:\Users\r.conda\envs\bert_server_test\lib\site-packages\bert_serving\server\helper.py:176: UserWarning: Tensorflow 2.4.0 is not tested! It may or may not work. Feel free to submit an issue at https://github.com/hanxiao/bert-as-service/issues/
'Feel free to submit an issue at https://github.com/hanxiao/bert-as-service/issues/' % tf.version)
E:←[36mGRAPHOPT←[0m:fail to optimize the graph!
Traceback (most recent call last):
File "C:\Users\r.conda\envs\bert_server_test\lib\runpy.py", line 193, in run_module_as_main
"main", mod_spec)
File "C:\Users\r.conda\envs\bert_server_test\lib\runpy.py", line 85, in run_code
exec(code, run_globals)
File "C:\Users\r.conda\envs\bert_server_test\Scripts\bert-serving-start.exe_main.py", line 7, in
File "C:\Users\r.conda\envs\bert_server_test\lib\site-packages\bert_serving\server\cli_init.py", line 4, in main
with BertServer(get_run_args()) as server:
File "C:\Users\r.conda\envs\bert_server_test\lib\site-packages\bert_serving\server_init_.py", line 71, in init
self.graph_path, self.bert_config = pool.apply(optimize_graph, (self.args,))
TypeError: 'NoneType' object is not iterable

anyone knows how to solve this issue? thank you in advance..