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As noted in #199, unsigned `Fixed` and signed `Normed` are mathematically definable, but we still have some preparations to implement them.
Although those types are certainly not used often, but in…
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I feel confused about the implement of dct function.
## 1
The first problem is about the batch dim N = x_shape[-1]. Whether it is 2D or 3D data which has dim format (N, L, D) or (N, C, H, W), isn…
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Thanks for the great work! I'm confused about the align loss mentioned in Sec 3.4 of the paper. As you adopt a 2-norm loss, the loss value can be large compared to the denoising loss. Have you done so…
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Thanks for sharing the code. In your paper, it mentioned that the Adaptive S-Norm was applied. But implementation in the [utils.py](https://github.com/sinhat98/adapter-wavlm/blob/main/ASV/utils.py) is…
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via Email:
> der KS-Test wie auch die uniform-ecdf-Methode eher unterpowert sind, d.h., man geht zu spät von Abweichungen im Modell aus. Da ich auch heute noch häufig lineare mixed models (also LMM…
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Thank you for the great work. It's been really helpful.
When I tried to run the benchmark, I found no umls_2023ab_SMM4H-17_cid2name.json for en_norm and no umls_2023ab_MedDRA_cid2name.json for en_k…
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Copied from: https://github.com/fairinternal/xlformers/issues/117
Shouldn't we remove the `.to(dtype=parameters[0].dtype)` from this line?
https://github.com/facebookresearch/fairscale/blob/ee647b…
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While loading **UNet2DConditionModel** from pretrained SD-2, **ValueError** appears, as parameter weights related to image_attentions are missed.
> Traceback (most recent call last):
> File "tra…
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#### Describe the bug
As noted in #22910, `Ridge(alpha=0, fit_intercept=True)` does not give the minimal norm solution for wide data, i.e. `n_features > n_samples`.
Note that we nowhere guarantee …
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### What is your question?
def _get_update_norm(update: NDArrays) -> float:
flattened_update = update[0]
for i in range(1, len(update)):
flattened_update = np.append(flattened_up…