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In the proposed design, you are doing transfer learning on the squeezenet and MobileNet. However when you are doing SVM, why you are extracting the training feature from net ( base graph) and not netT…
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Since `torch.clamp` was updated in 1.12.0, the latest version of Pytorch, `torch.clamp`'s min, max argument should be loaded on same device with input tensor. https://github.com/pytorch/pytorch/pull/7…
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when the environment has a action space that each action has different size, like this:
`self.action_space = MultiDiscrete([3,2])`
and the action masker is like this for example:
`a = [[True, Fal…
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Augmented streams (which have stacked frames shifted) create _n_ copies of the input. At test time the logit streams are averaged together. However, this is buggy under CTC training, as the blank la…
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> And another thought: do we prevent users from using a set, where the denominator is a subset of the numerator? In that case we should have values above 1. Do we have a guard there?
_Originally po…
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Hello!
I'm using SHAP for some explanations and It's very very nice and useful! Thanks!
I switched from force_plot to waterfall_plot to suit my needs.... but I'm missing the **link='logit'** optio…
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how to infer the modulator
the code in your repo
```
modulator = tf.exp(-gamma * labels * logits - gamma * tf.log1p(
tf.exp(-1.0 * logits)))
```
for focal loss in [tensorflow/mode…
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Hi,
Should we Scale the loss and gradients like in the [tf.keras docs](https://www.tensorflow.org/guide/mixed_precision#loss_scaling:~:text=%3D%20optimizer.-,get_scaled_loss,-(loss)) for jax backend …
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I wanted to see if I put a non-binary input into `F. binary_cross_entropy_with_logits` if it will fail. Instead it gives me an answer without failing which is odd, but I can't figure out where the num…
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Why are labels set to all zeros when the first column of logits represents positive similarity and the subsequent K columns represent negative similarity? Shouldn't the labels be 1 for the first colum…