{"id":15982307,"url":"https://github.com/mddct/losses","last_synced_at":"2025-08-04T11:35:46.308Z","repository":{"id":39258124,"uuid":"490214404","full_name":"Mddct/losses","owner":"Mddct","description":"ctc releated","archived":false,"fork":false,"pushed_at":"2023-06-01T01:29:04.000Z","size":101,"stargazers_count":5,"open_issues_count":1,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-07T06:44:58.760Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Mddct.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-05-09T09:21:24.000Z","updated_at":"2024-02-29T04:57:45.000Z","dependencies_parsed_at":"2025-03-10T21:30:59.078Z","dependency_job_id":"8595b647-cb59-4aa9-83ba-10bcce29b290","html_url":"https://github.com/Mddct/losses","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Mddct/losses","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mddct%2Flosses","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mddct%2Flosses/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mddct%2Flosses/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mddct%2Flosses/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Mddct","download_url":"https://codeload.github.com/Mddct/losses/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Mddct%2Flosses/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":268689564,"owners_count":24291078,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-04T02:00:09.867Z","response_time":79,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-08T01:02:40.332Z","updated_at":"2025-08-04T11:35:46.251Z","avatar_url":"https://github.com/Mddct.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# losses\nloss functions associated with ctc and cif\n\n(Note)： ctc decoder binding from  wenet runtime\n\nTODO:\n- [ ] entmax and entmax losses\n- [x] kd ctc decodernbest strategey\n- [x] suport batch ctc decode not parallel\n- [x] suport batch ctc decode parallel\n- [ ] suport chunk state ctc decode\n- [ ] suport torch sparse tensor \n- [x] sequence focal loss\n- [x] cross entropy focal loss\n- [x] sigmod  focal loss\n- [ ] focal logits for mwer\n- [x] mwer loss ssupport\n\n```python\nimport torch\nfrom torch.nn.utils.rnn import pad_sequence\n\nfrom ctcdecoder import CTCDecoder\nfrom edit_distance import edit_distance\n\ninputs = torch.tensor(\n        [[[0.25, 0.40, 0.35],\n           [0.40, 0.35, 0.25],\n           [0.10, 0.50, 0.40]]]);\ninputs = inputs.log()\nseq_len = torch.tensor([3])\ndecoder = CTCDecoder(3,3)\nprint(decoder.decode(inputs, seq_len))\n# print(pad_sequence(decoder.decode(inputs, seq_len), batch_first=True, padding_value=-1))\n\n#tensor([[ 2,  1],\n#        [ 1,  2],\n#        [ 1, -1]])\n#\n\nhyp = torch.tensor([[1,2,3], [1,2,3]])\nhyp_lens = torch.tensor([3,3])\ntruth = torch.tensor([[4,5,6], [4, 5, 6]])\nt_lens = torch.tensor([3,3])\n\nprint(edit_distance(hyp,hyp_lens,truth, t_lens)\n\nmwer=CTCMWERLoss(8)\nlabels=torch.tensor([[1,0,2]])\nlabels_length = torch.tensor([3])\nprint(mwer.forward(inputs, labels, labels_length, torch.tensor(3)))\n#tensor(0.0136) \n\n```\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmddct%2Flosses","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmddct%2Flosses","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmddct%2Flosses/lists"}