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Hi,
### *Randomized SVD is not accurate*
Currently most (if not all) of the PCA / linear dimensionality reduction / SVD is first routed through either `TruncatedSVD` or `PCA(svd_solver='randomiz…
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I am able to convert caffenet, but got an error when I try it with vgg16.
F0312 08:11:17.590416 30365 insert_splits.cpp:35] Unknown blob input data to layer 0
**\* Check failure stack trace: ***
Abor…
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The full rank algorithm doesn't work currently so running it is prevented in v0.2.0. Think if it should be removed entirely since the lowrank approximation is both much faster, more space efficient, a…
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### 🐛 Describe the bug
`torch.svd_lowrank` should set the default value of `q` as `min(6, m, n)`, which is what `torch.pca_lowrank` does and makes more sense.
For example,
```python
import torch…
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Using docker desktop to compare RAM usage for different network and ensure lowrank is using less than dense
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### 🐛 Describe the bug
The implementation of `torch.svd_lowrank` contains undefined behavior caught by UB sanitizer. Without sanitizers, the test terminates normally.
Test:
```python
import torch
…
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### 🚀 The feature, motivation and pitch
Hi,
Currently, the `torch.svd_lowrank` function implements a very basic version of Halko, et al. (2009)'s algorithm. The `sklearn` version, `sklearn.utils.e…
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Example: https://www.prairielearn.org/pl/course_instance/128491/instructor/assessment/2310701/downloads/CS_357_Spring2021_Q6_all_files.zip
For question `16-SVD/SVD-LowRank-Image-Denoising`, folders…
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## Issue description
I've found the `torch.svd_lowrank` to be up to 2x slower in CPU and GPU for the batched implementation when compared to a loop implementation.
I guess if then the bacthed i…
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Creating a new utils object for handling these, could be benefitial. Not so relevant for the trainer necessarily.