During code execution, an error except timeoutexception is found. E:
the reasons are as follows:
This code is only available in python2 X is available, and python 3 no longer uses this method
Solution:
Switch the corresponding version to python2
Modify except Exception e: to except Exception as e:
Python operation Kafka reports an error: return ‘& lt; SimpleProducer batch=%s>’ %self.async
return ‘< SimpleProducer batch=%s>’ % self. async
^^^^^
SyntaxError: invalid syntax
reason:
Because PY3 Async has become a keyword in 7. This leads to incompatibility.
Solution:
Method 1:
The latest Kafka version is used, but the Kafka on pypi has not been replaced with the latest one. You can upgrade Kafka Python using the following method
PIP install Kafka python
Method 2:
Just switch to version 3.6 and wait for subsequent upgrades
Specific error
As shown in the figure:
do you operate according to the methods provided by other bloggers (method details), or some errors are reported:
Solution:
Continue to solve the remaining error reports above and open Yaml file, just open Notepad. Move the packages listed in the error report to PIP: to solve the problem
import pandas as pd
df = pd.read_csv('Pokemon1.csv',index_col = 0)
An error is reported after executing the code: Unicode decodeerror: ‘UTF-8’ codec can’t decode byte 0x89 in position 1538: invalid start byte
an error is still reported when trying to manually specify the encoding format [encoding = “UTF-8″/encoding = “GBK”):
df = pd.read_csv('Pokemon1.csv',index_col = 0,encoding="gbk")
Solution:
1 Find the CSV file used -> Right mouse button -> Opening method -> Select Notepad
2 Open the file and select File -> “Save as”, you can see that the default code is ANSI. Select UTF-8 to save a copy again, and then open it with PD.Read_csv(). There will be no error:
Question:
When I encountered this problem on the way to write the model, baidu either said it was the pytorch version problem or the category index exceeded, but it was useless, because the error was a very simple assignment operation.
scores[:, 0] = -float("inf")
#RuntimeError: CUDA error: an illegal memory access was encounteredAt the same time, in the process of debugging, it is found that a warning burst after the execution of a network of the model
lm_logits = self.linear(outputs) + self.bias
#warning:Thudacheck FAIL file=/pytorch/aten/c/THC/Thccachinghostallocator cpp Line=278 error=700: an illegal memory access was encounteredAt first glance, both places are relatively simple, but they reported strange mistakes.
Solution:
The debug process found an exception
In the data data output by the pytorch network, the variable does not display the specific network output value, but the address information of the data
T:torch.Tensor object at 0x7fb27e7c8f30
data:torch.Tensor object at 0x7fb27e7c8f30Later, it was found that it was because of self The linear layer is’ CPU ‘, while other networks are on’ CUDA ‘, which is equivalent to the inconsistency caused by the forward propagation of’ CUDA ‘type data to the’ CPU ‘network. Just transfer the network to’ CUDA ‘.
Error: Runtime error: expected scalar type Float but found Double
w_true=torch.tensor([2,-3.4]).T
b_true=4.2
feature = torch.from_numpy(np.random.normal(0,1,(num_input,num_example)))
#feature = torch.float32(feature)
labels = torch.matmul(w_true.T,feature)+b_true
Problem: runtime error: expected scalar type float but found double
reason: NP random. The data generated by Rand() is float64, while torch defaults to float32, so the problem arises
solution
feature = torch.from_numpy(np.float32(np.random.normal(0,1,(num_input,num_example))))
Solution: convert the index strength of the array to int
Example:
# original
length = [id2tags[i.item()] for i in y[0].cpu() if i.item() > 0]
# Modify to:
length = [id2tags[int(i.item())] for i in y[0].cpu() if i.item() > 0]#Read a *.txt file using the read_table() function in the Pandas library
data = pd.read_table(r'D:\New\test.txt',delimiter=',',encoding = 'UTF-8')
print(data)Title defect Solution: add “R” before the path to solve it.
python D:\New\MyTest.py
name date id
0 jianghu 20210201 00001
1 jianghu1 20210202 00002
2 jianghu2 20210203 00003
1、 Exception 1: runtimeerror: an attempt has been made to start a new process
Reason: multiple processes need to run in the main function
Solution 1:
Add the main function and call it in main.
if __name__ == '__main__':
main()
Solution 2:
num_workers changed to 0, single process loading
Ers changed to 0, single process loading
The parameter may be missing or the property may be changed as follows:
parser.add_argument('--model', default='ResNet18',required=True)
args = parser.parse_args()
Replace with:
parser.add_argument('--model', default='ResNet18')
args = parser.parse_args()
ERROR: Cannot uninstall ‘PyYAML’. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.
Problem Description.
When installing transformers, an error is reported: “ERROR: Cannot uninstall ‘PyYAML’. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.”
pip install transformers
Solution:
You only need to modify the original installation command to:
pip install transformers --ignore-installed PyYAML
Just.
Similar problems can be solved in this way.