zhanghang1989 / zhanghang1989/PyTorch-Encoding

The time and some problems for test.py

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Dominant language
Python
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Description

Hello, I just set up the environment and configured the PASCAL Context API.
Now I am running python test.py --dataset PContext --model-zoo Encnet_ResNet50_PContext --eval according to the instructions given by the author.
According to the author's github. The picture shows that the total is 1276, but my total is 2552.
image
And the time I run indicates that I have to run 36 hours. Would you like to ask, does it take so long to run test.py? My environment is Ubuntun14.04+Chainer, CPU: Intel(R) Xeon(R) CPU E5-2643; memory size: 64 GB; GPU: NVIDIA Tesla K40 m×2; memory size: 12 GB×2.
image

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Research direction

Start with test.py and reproduce the documented python test.py --dataset PContext --model-zoo Encnet_ResNet50_PContext --eval command using the reported PASCAL Context API setup. Compare the reported total of 2552 with the author's 1276 and measure the runtime; the issue is done when the discrepancy and expected execution time are explained.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
computer-vision, machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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