shixian.shi
2023-08-14 c73d1a8e81582b91a9bdd6e82fce2e84f8d9d94b
update func cif_wo_hidden
3个文件已修改
6 ■■■■ 已修改文件
funasr/export/models/predictor/cif.py 2 ●●● 补丁 | 查看 | 原始文档 | blame | 历史
funasr/models/predictor/cif.py 2 ●●● 补丁 | 查看 | 原始文档 | blame | 历史
funasr/utils/timestamp_tools.py 2 ●●● 补丁 | 查看 | 原始文档 | blame | 历史
funasr/export/models/predictor/cif.py
@@ -288,7 +288,7 @@
        fire_place = integrate >= threshold
        integrate = torch.where(fire_place,
                                integrate - torch.ones([batch_size], device=alphas.device),
                                integrate - torch.ones([batch_size], device=alphas.device)*threshold,
                                integrate)
    fires = torch.stack(list_fires, 1)
funasr/models/predictor/cif.py
@@ -499,7 +499,7 @@
        fire_place = integrate >= threshold
        integrate = torch.where(fire_place,
                                integrate - torch.ones([batch_size], device=alphas.device),
                                integrate - torch.ones([batch_size], device=alphas.device)*threshold,
                                integrate)
    fires = torch.stack(list_fires, 1)
funasr/utils/timestamp_tools.py
@@ -19,7 +19,7 @@
        list_fires.append(integrate)
        fire_place = integrate >= threshold
        integrate = torch.where(fire_place,
                                integrate - torch.ones([batch_size], device=alphas.device),
                                integrate - torch.ones([batch_size], device=alphas.device)*threshold,
                                integrate)
    fires = torch.stack(list_fires, 1)
    return fires