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| $ git clone [email protected]:xxxxx/xxxx.git my-awesome-proj | |
| Cloning into 'my-awesome-proj'... | |
| ssh: connect to host github.com port 22: Connection timed out | |
| fatal: Could not read from remote repository. | |
| $ # This should also timeout | |
| $ ssh -T [email protected] | |
| ssh: connect to host github.com port 22: Connection timed out | |
| $ # but this might work |
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| def top_k_top_p_filtering(logits, top_k=0, top_p=0.0, filter_value=-float('Inf')): | |
| """ Filter a distribution of logits using top-k and/or nucleus (top-p) filtering | |
| Args: | |
| logits: logits distribution shape (vocabulary size) | |
| top_k >0: keep only top k tokens with highest probability (top-k filtering). | |
| top_p >0.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering). | |
| Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751) | |
| """ | |
| assert logits.dim() == 1 # batch size 1 for now - could be updated for more but the code would be less clear | |
| top_k = min(top_k, logits.size(-1)) # Safety check |
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