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I'm attempting to do multivariate linear regression using statsmodels. For that, I am using the Ordinary Least Squares model. Just to be precise, this is not multiple linear regression, but multivaria…
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Currently the way we handle multiple batches is to send repeated trajectories as input.
This is memory consuming and also might cause degradation in performance as deep inside we use tf.map_fn whic…
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I realized that we could make an impressive gain of computation time by vectorizing the computation to simultaneously solve several minimization problems. Instead of having on l1, l2 tv scalars values…
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### 🐛 Describe the bug
The following code is an example provided in the documentation of vmap:
```python
import torch
# Setup
N = 5
f = lambda x: x ** 2
x = torch.randn(N, requires_grad=True)…
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cc @stdavids
I know I'm a bit behind on this, but we're finally ready to start looking at implementing batch norms from the Glenside side of things. We can talk in hackathon about it. From the Glen…
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Savva has been working on this for SpikeTrainArrays, but I'm parking it here as a generally useful feature that we should support as generically and as efficiently as possible.
Ideally, I want it t…
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### 🐛 Describe the bug
Repro: https://github.com/pytorch-labs/ao/pull/93
currently the cpu time for running weight only int4 quantization seems to be slow in x86, looks the same as unlowered cpu m…
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We'll mainly rely on code generation for math and other routines.
Is there any standards for describing functions? and set of routines implementing it? Otherwise I think we could have some YAML mar…
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I was initially resistant to bringing this up, because it's a big task to compute the potential energy of the entire system. But I wonder if it's tractable to do it for individual potentials.
My fi…
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# A OverView of Parallel Computing Libraries in Python [Not Finished]
## 1. [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) Module
The [multiprocessing](https://docs.p…