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# flat_loss
output_copy = output.clone()
flat_output = gaussian_kernel(output_copy)
flat_map = (edge_map - 1.) * -1.
loss_flat = F.mse_loss(flat_map * output, flat_map * flat_output)
这部分和原文的实现不一…
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Hello, thank you for your contributions. Based on your original code, I have modified the dataset to fit my own, which is a two-class classification task similar to your classification of large and sm…
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How to implement llama's stopping criterion? Specifically, if you enter a stopping criterion like chatgpt, you can stop after outputting 'observation'.
for example,
when chatgpt input:
```python
r…
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`wandb --version && python --version && uname`
* Weights and Biases version: 0.9.7
* Python version: 3.7.9
* Operating System: Ubuntu 18.04LTS
### Description
Running a sweep using Hyperban…
leopd updated
2 weeks ago
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In release 3.2, the definitions for eligibility criteria were moved from `StudyDesignPopulation` and `StudyCohort` into an API-only collection under `StudyVersion`. The rationale for this move was so …
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WCAG2ICT guidance: https://www.w3.org/TR/wcag2ict-22/#name-role-value
Share your thoughts for applying to mobile apps as a comment below.
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WCAG2ICT guidance: https://www.w3.org/TR/wcag2ict-22/#labels-or-instructions
Share your thoughts for applying to mobile apps as a comment below.
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This better matches the use of `Or` and `And`.
See #720 and #1311 for the initial reports.
We should remove the `pylearn2.termination_criteria` module, as well as the `termination_criterion` of `SGD` …
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limits of agreement (LOA) criterion
https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2020.594880/full
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I am reading through the code base and paper and am trying to understand where in the code the MMI criterion is implemented and used. My guess is that during evaluation the source and target sentence …