| from typing import Any |
|
|
| import torch |
| import torch.nn as nn |
|
|
| from .base_postprocessor import BasePostprocessor |
|
|
|
|
| class EBOPostprocessor(BasePostprocessor): |
| def __init__(self, config): |
| super().__init__(config) |
| self.args = self.config.postprocessor.postprocessor_args |
| self.temperature = self.args.temperature |
| self.args_dict = self.config.postprocessor.postprocessor_sweep |
|
|
| @torch.no_grad() |
| def postprocess(self, net: nn.Module, data: Any): |
| output = net(data) |
| score = torch.softmax(output, dim=1) |
| _, pred = torch.max(score, dim=1) |
| conf = self.temperature * torch.logsumexp(output / self.temperature, |
| dim=1) |
| return pred, conf |
| |
| def set_hyperparam(self, hyperparam:list): |
| self.temperature =hyperparam[0] |
| |
| def get_hyperparam(self): |
| return self.temperature |
| |
