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Hi. I have create my own dataset and train the **SegFormer** successfully but when I check the inference speed of **SegFormer** using **benchmark.py** script it shows the following error as attached.…
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Hi,
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Thanks a lot for the code!
How to test it in RGBD benchmark or Microsoft 7Scene dataset?
Thanks again!
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For non-network division BERT benchmarks the dataset is tokenised outside of running the benchmark but in the inference rules, the use of "Text in. No compression allowed." implies that for Network Di…
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### Checklist
- [x] 1. I have searched related issues but cannot get the expected help.
- [x] 2. The bug has not been fixed in the latest version.
### Describe the bug
I tried to benchmark t…
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Would be great to see some performance benchmarks on standard datasets with some comparison to known compression algorithms.
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- Measure HDF5 Sequential Performance for different chunk sizes and file sizes.
- Measure average read time and total read time for a fixed file and different chunk sizes
- Measure performance on Ar…
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Hi,
Can you provide a link that contains the Super-Resolved images (of different scales) from the benchmark datasets? Like a zip file or something similar?
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Hi there,
thank you for the dataset.
I've implemented a CLIP benchmark of the dataset -> [CLIP_visual-spatial-reasoning](https://github.com/Sohojoe/CLIP_visual-spatial-reasoning)
I found I w…
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### Describe the feature or idea you want to propose
One of my next priorities will be to get coverage over 90% on the overnight run. It is on 83.81 on 16/8/23, with 40324 out of 48114 lines covered.…
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## ❓ Questions & Help
Hello,I try to run the benchmarks for graph classification.I don't know how to use the benchmarks.
For example, I want to reproduce the SAGPool in D&D dataset like #859.
F…