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Convolution with gaussian and gaussian derivative (upto order 3) kernels are probably one of the most common convolution operations done in computer vision and image analysis. This operation is the fo…
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### Project URL
https://pypi.org/project/oneflow/
### Does this project already exist?
- [X] Yes
### New Limit
1500MB
### Update issue title
- [X] I have updated the title.
### Which indexes
…
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_The problem:_ Not all residual spectrum outliers originate solely from line strength mismatches. In general, line _width_ mismatches or line center shifts will be present in the residual spectrum as…
gully updated
5 years ago
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### Reminder
- [X] I have read the README and searched the existing issues.
### System Info
None
### Reproduction
None
### Expected behavior
None
### Others
Hi, Thank you for the fantastic wo…
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For parquet files that contain very large schemas with strings (either large numbers of columns, or large numbers of nested columns) we pay a very heavy price postprocessing the string data after th…
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As far as I understand, the [config.json](https://github.com/hanchenye/scalehls/blob/master/samples/polybench/config.json) file has information about the target FPGA (number of DSPs etc) that are used…
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Certain combinations of scale + sigma can cause the shader to overflow now that we are scaling the sigma based on the entity's transform.
I played around with this a bit and just increasing the sig…
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From Etienne @EtienneBachmann :
Another idea to improve adjoint run speed is to merge the GPU kernels in the compute_kernels routine, where rho kernels and other kernels are separated. It should n…
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Is it possible to do matrix decompositions of small matrices (let's say of size 9x9 or 12x12) inside the CUDA kernel? My final goal is to run Newton method inside the kernel which requires inverse of …
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https://www.microsoft.com/en-us/research/blog/deepspeed-accelerating-large-scale-model-inference-and-training-via-system-optimizations-and-compression/
>High-performance INT8 inference kernels are …