Title: Remove redundant layer norm operation by owmohamm · Pull Request #67 · deepspeedai/DeepSpeedExamples · GitHub
Open Graph Title: Remove redundant layer norm operation by owmohamm · Pull Request #67 · deepspeedai/DeepSpeedExamples
X Title: Remove redundant layer norm operation by owmohamm · Pull Request #67 · deepspeedai/DeepSpeedExamples
Description: Example models using DeepSpeed. Contribute to deepspeedai/DeepSpeedExamples development by creating an account on GitHub.
Open Graph Description: In the pre-layernorm version of BERT, the application of layernorm on the embeddings is redundant since it is applied by the first transformer layer as well. For reference: https://github.com/NVIDI...
X Description: In the pre-layernorm version of BERT, the application of layernorm on the embeddings is redundant since it is applied by the first transformer layer as well. For reference: https://github.com/NVIDI...
Opengraph URL: https://github.com/deepspeedai/DeepSpeedExamples/pull/67
X: @github
Domain: github.com
| route-pattern | /_view_fragments/voltron/pull_requests/show/:user_id/:repository/:id/pull_request_layout(.:format) |
| route-controller | voltron_pull_requests_fragments |
| route-action | pull_request_layout |
| fetch-nonce | v2:a654ffc7-2e75-0301-8f55-da9205a0eaa4 |
| current-catalog-service-hash | ae870bc5e265a340912cde392f23dad3671a0a881730ffdadd82f2f57d81641b |
| request-id | B9EE:117F59:11A7783:192D505:6A4CBB1B |
| html-safe-nonce | 28323a216b7993e15d05e6f345879bfb7ffedde5c90ce5b4a33bcf1c242f6591 |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJCOUVFOjExN0Y1OToxMUE3NzgzOjE5MkQ1MDU6NkE0Q0JCMUIiLCJ2aXNpdG9yX2lkIjoiOTQxNTE5MTA1Nzk3NDM4MjM1IiwicmVnaW9uX2VkZ2UiOiJpYWQiLCJyZWdpb25fcmVuZGVyIjoiaWFkIn0= |
| visitor-hmac | a5f624920d1b71bda3c56fa56d266b91fc22a62403a7492af0b5bc2477d0c507 |
| hovercard-subject-tag | pull_request:533105325 |
| github-keyboard-shortcuts | repository,pull-request-list,pull-request-conversation,pull-request-files-changed,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/_view_fragments/voltron/pull_requests/show/deepspeedai/DeepSpeedExamples/67/pull_request_layout |
| twitter:image | https://opengraph.githubassets.com/68af1b2c2be9820c3757d08327b6667d3bc4d1a5c44d1248943f83847315e774/deepspeedai/DeepSpeedExamples/pull/67 |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/68af1b2c2be9820c3757d08327b6667d3bc4d1a5c44d1248943f83847315e774/deepspeedai/DeepSpeedExamples/pull/67 |
| og:image:alt | In the pre-layernorm version of BERT, the application of layernorm on the embeddings is redundant since it is applied by the first transformer layer as well. For reference: https://github.com/NVIDI... |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| og:author:username | owmohamm |
| hostname | github.com |
| expected-hostname | github.com |
| None | 3d11bb817438277de2a940854450e83a7d32b6aeb5014e9e6b00a6423900251c |
| turbo-cache-control | no-cache |
| go-import | github.com/deepspeedai/DeepSpeedExamples git https://github.com/deepspeedai/DeepSpeedExamples.git |
| octolytics-dimension-user_id | 74068820 |
| octolytics-dimension-user_login | deepspeedai |
| octolytics-dimension-repository_id | 237085793 |
| octolytics-dimension-repository_nwo | deepspeedai/DeepSpeedExamples |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 237085793 |
| octolytics-dimension-repository_network_root_nwo | deepspeedai/DeepSpeedExamples |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | ae90d426644ca15e89bacceb72e51f4e9dbf85f7 |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width