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Glow's MatNul node implementation behaves differently than ONNX's spec [1] when using input tensors with >2 dimensions.
This becomes problematic when importing e.g. Transformer models through ONNX…
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Currently brmp expects data in the form of Pandas dataframes, but when working with larger, higher-dimensional datasets it might be more convenient to specify formulas in terms of multidimensional [xa…
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_Original ticket http://projects.scipy.org/numpy/ticket/1888 on 2011-06-30 by @brickZA, assigned to unknown._
I think it would be feasible to support multi-dimensional saving/loading quite simply by …
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~Due to my previous post being wrote when I was slightly ill, I'm rewriting it after smoothening and refining my ideas, I've breaken down the first post into 3 main posts ill try to write asap, this o…
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### 🐛 Describe the bug
Consider the following code:
```
import numpy as np
import torch
x_array = np.zeros([32769]) # Problem goes away if array is 32,768 elements or smaller
x_list = [x_ar…
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Issues found by Jacky
- 'Specific instructions' column change to 'comment' column? For when samples don't meet dimensional specs or testing curve looks strange from higher seating load, we can docu…
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When I set the dimension count to 17 or higher for the hypercube or orthoplex under the generic folder and then click on the hypercube/orthoplex button to render them, it crashes. It doesn't crash lik…
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Hi there!
Currently the docs state:
> However, it does not currently support the following:
>
> Slicing with lists in multiple axes: `x[[1, 2, 3], [3, 2, 1]]`
>
> This is straightforward t…
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Original ticket http://projects.scipy.org/numpy/ticket/1888
Reported 2011-06-30 by atmention:brickZA, assigned to unknown.
I think it would be feasible to support multi-dimensional saving/loading qui…
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_Original ticket http://projects.scipy.org/numpy/ticket/1888 on 2011-06-30 by atmention:brickZA, assigned to unknown._
I think it would be feasible to support multi-dimensional saving/loading quite s…