Registro públicoModerado
Informe de salud del softwareesquema 0.26.0 · métricas 1.13.0 · 2026-07-22 19:55 UTC
meta-pytorch / attention-gym
Helpful tools and examples for working with flex-attention
meta-pytorch/attention-gym tiene un índice de salud de 67 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (82/100) y la más baja, AI Readiness (53/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.
67
global / 100Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala de 1 a 100. El resultado global parte de su media; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe el límite 49 (En riesgo). Preparación para IA queda fuera.
67
Excelente85-100Ejemplar; cumple prácticamente todos los criterios evaluados
Bueno70-84Saludable; carencias menores
Moderado50-69Aceptable con carencias notables; se recomienda revisión
En riesgo30-49Debilidades significativas; su adopción exige cautela
Crítico1-29Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
Perfil de puntuación
Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.
Titularidad
Meta PyTorchOrganización
1389 seguidores58 repositorios públicosdesde jun 2022
Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación |
|---|---|---|---|---|---|
| PyPI | attn_gym | 0.0.4 | 69 | 4 | hace 418 días |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
68
Actividad de desarrollo
74Bueno
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 0 días |
| 13.8/36 | Cadencia de commits — 20/52 semanas con commits |
| 14.5/18 | Volumen de commits — 40 commits en el último año |
| 10/10 | OpenSSF Scorecard: Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Datos de entrada utilizados
| commits_last_year | 40 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 20 |
Disciplina de publicación
60Moderado
Cómo se puntúa
| 27/27 | Publica versiones — 4 versiones publicadas |
| 7.2/36 | Recencia de las versiones — última versión hace 418 días |
| 19.8/27 | Cadencia de publicación — una versión cada ~98,6 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 4 |
| latest_release_tag | v0.0.4 |
| releases_from_tags | no |
| days_since_latest_release | 418 |
| mean_days_between_releases | 98,6 |
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
66
Popularidad y adopción
72Bueno
Cómo se puntúa
| 50/60 | Estrellas — 1211 estrellas |
| 15.7/25 | Forks — 78 forks |
| 6.2/15 | Observadores — 14 observadores |
Datos de entrada utilizados
| forks | 78 |
| stars | 1211 |
| watchers | 14 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
85Excelente
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (BSD-3-Clause) |
| 18/18 | Guía CONTRIBUTING |
| 13.5/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 0/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| has_contributing | sí |
| has_issue_template | no |
| has_code_of_conduct | sí |
| has_pull_request_template | no |
Adopción en el ecosistema (descargas)
31En riesgo
Cómo se puntúa
| 24.6/80 | Descargas mensuales — 69 descargas/mes en pypi |
| 0/20 | Dependientes en el registro — no lo informa este ecosistema |
Datos de entrada utilizados
| packages | attn_gym |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 69 |
Excluidos de la puntuación (sin datos o no aplicable): Dependientes en el registro. Los pesos restantes se han renormalizado.
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
61
Resiliencia de mantenedores (factor bus)
30En riesgo
Cómo se puntúa
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 4.5/22.5 | Distribución de commits — el principal contribuyente firma el 80% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 20 contribuyentes |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Datos de entrada utilizados
| bus_factor | 1 |
| contributors_sampled | 20 |
| top_contributor_share | 0,8 |
Cómo se puntúa
| 45.2/46.8 | Resolución de issues — 97% de issues cerradas |
| 33.2/38.3 | Aceptación de PR — 86/99 PR decididos fusionados |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 2/30 approved changesets -- score normalized to 0 |
Datos de entrada utilizados
| merged_prs | 86 |
| open_issues | 4 |
| closed_issues | 118 |
| issue_closed_ratio | 0,967 |
| closed_unmerged_prs | 13 |
Propiedad y custodia
74Bueno
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 22.6/25 | Alcance del propietario — 1389 seguidores de meta-pytorch |
| 21.1/25 | Trayectoria — 58 repos públicos, cuenta de ~4 años |
Datos de entrada utilizados
| followers | 1389 |
| owner_type | Organization |
| is_verified | — |
| owner_login | meta-pytorch |
| public_repos | 58 |
| account_age_days | 1504 |
Mantenimiento de paquetes
71Bueno
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 14/35 | Recencia de publicación — última publicación hace 418 días |
| 12/20 | Historial de versiones — 4 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | attn_gym |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 418 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
82
Prácticas de ingeniería
94Excelente
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 5 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter |
| 9.6/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | sí |
Documentación
65Moderado
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 0/15 | Sitio de documentación / página del proyecto |
| 10/10 | Descripción del repositorio |
| 0/10 | Topics |
| 0/10 | Wiki |
Datos de entrada utilizados
| topics | — |
| has_wiki | no |
| homepage | — |
| has_readme | sí |
| has_docs_dir | sí |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
59
Postura de seguridad
49En riesgo
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — sin datos |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 2/30 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 7.5/7.5 | Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — sin datos |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 3/5 | SAST — SAST tool is not run on all commits -- score normalized to 6 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — sin datos |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 4,9 |
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, packaging, signed_releases. Los pesos restantes se han renormalizado.
Avisos de dependencias
100Excelente
Cómo se puntúa
| 35/35 | Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido |
| 25/25 | Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido |
| 0/40 | Sin avisos pendientes — ningún aviso tiene fecha de publicación |
Datos de entrada utilizados
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 1 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejó el cierre de dependencias en tiempo de ejecución de pypi:attn_gym@0.0.4 —lo que arrastra la instalación del paquete publicado—: 1 paquetes. No se analiza la alcanzabilidad.
Preparación para IA
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Es una insignia independiente y experimental — peso 0,0, de modo que se presenta por separado y no afecta a la puntuación de salud global.
53
Contexto y guía para agentes
85Excelente
Cómo se puntúa
| 45/45 | Instrucciones para agentes — AGENTS.md, CLAUDE.md |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 40/40 | Historial de commits legible — 85 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,85 |
| agent_instruction_files | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 2680 |
Cómo se puntúa
| 0/18 | Arranque con un solo comando |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato |
| 0/11 | Verificación estática de tipos |
| 0/10 | Entorno reproducible |
| 0/10 | Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100 |
| 0/8 | Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Legibilidad del código para modelos
55Moderado
Cómo se puntúa
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 55/55 | Tamaños de archivo manejables — 0/62 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 48.779 |
| source_files_sampled | 62 |
| oversized_source_files | 0 |
Interfaces legibles por máquina
40En riesgo
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — examples, notebooks |
Datos de entrada utilizados
| example_dirs | examples, notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
1211estrellas de GitHub
20contribuidores
40commits en los últimos 12 meses
0días desde el último push
4versiones publicadas
1factor bus
4issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Más detalle
Historial de estrellas y forks 0 ★ / 78 ⇿
0Estrellas
78Forks
4Versiones
Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.
Mayor 0Menor 0Parche 4
Cada punto abarca 2 días.
OpenSSF Scorecard 4.9 / 10
4.9agregado
Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/d | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 2/30 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| n/d | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 6 | SAST | SAST tool is not run on all commits -- score normalized to 6 |
| 0 | Security-Policy | security policy file not detected |
| n/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Dependencias directas 1
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | torch | — | pyproject.toml |
Todas las dependencias 1
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 1 paquetes directos y 0 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | torch | — | directa |
Avisos de dependencias 0
Instalar pypi:attn_gym@0.0.4 arrastra 1 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.
Ningún aviso conocido afecta a las dependencias evaluadas.
Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.
Informe JSON sin procesar legible por máquina
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"body": "FA4 block sparsity requires the mask KV block size to exactly match its KV\ntile size (tile_n, 128 on SM100), so the previous (256, 256) mask from\ncreate_vsa_flash_block_mask was rejected with:\n ValueError: Block sparsity requires sparse_block_size[1]=128 to match tile_n.\n\nEmit BLOCK_SIZE=(tile_nume\n[…]\n SM100).\n\nVerified on B200: test/test_vsa.py (15 passed, incl. the SM100 FLASH test\nthat previously failed) and examples/vsa.py for FLASH/TRITON/default, which\nassert against a dense masked reference.",
"is_bot": false,
"headline": "Fix VSA flex FLASH block mask for FA4's KV tile constraint",
"author_name": "drisspg",
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"headline": "add vsa (#211)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2026-06-27T05:18:05Z",
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"headline": "add cc support (#210)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2026-06-27T05:09:17Z",
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"body": null,
"is_bot": false,
"headline": "Add jetspec (#209)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2026-06-26T23:27:18Z",
"body_truncated": false,
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},
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"body": null,
"is_bot": false,
"headline": "Add shared prefix mask (#205)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2026-05-28T03:47:26Z",
"body_truncated": false,
"is_coding_agent": false
},
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"body": null,
"is_bot": false,
"headline": "Add a packed causal offset specific mask (#204)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2026-05-28T03:47:15Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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"body": null,
"is_bot": false,
"headline": "actual ring attention example (#200)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2026-04-13T02:03:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "dbc8fbff003a08d584857ed44413a10c0f23efc1",
"body": null,
"is_bot": false,
"headline": "cleanup (#199)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2026-04-12T22:01:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "f146e4884398badc45139ca11e5b570b906bc54c",
"body": null,
"is_bot": false,
"headline": "Docs site (#198)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2026-04-01T01:50:58Z",
"body_truncated": false,
"is_coding_agent": false
},
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"body": null,
"is_bot": false,
"headline": "Add ring attention like impl showing direct backward call (#196)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2026-03-31T04:00:37Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "79bf506b4346726db9c50308864b337569347e95",
"body": "* Add fa4 as a backend\n\n* tweaks\n\n* more\n\n* add activation attention",
"is_bot": false,
"headline": "Script updates + lse trick (#195)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2026-02-08T18:45:35Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "f6ff207805fad70e56282a678ffcba7692dfc923",
"body": null,
"is_bot": false,
"headline": "switch to prek (#193)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2026-01-13T04:07:57Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fe851b3472baf4fada00f40901fd3261e357a041",
"body": null,
"is_bot": false,
"headline": "Update limitations (#192)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2026-01-13T04:03:26Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "18042c3c6c980cef1791e5527327e42f29a1384a",
"body": "* update-scripts\n\n* Add some more configs",
"is_bot": false,
"headline": "update-scripts (#188)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2026-01-13T03:07:24Z",
"body_truncated": false,
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},
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"body": "* Fix get_mask_mod and get_score_mod to use correct batch indices, in order to properly compute attention on the right input sequences\n\n* Removed conditional in mask mod and score mod\n\n* Apply pre-commit changes",
"is_bot": false,
"headline": "Fix get_mask_mod and get_score_mod to use correct batch indices (#190)",
"author_name": "Muhammad Shahir Abdurrahman",
"author_login": "man2machine",
"committed_at": "2026-01-08T04:01:36Z",
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},
{
"oid": "a8e73e5bef3795e523516ad8bdde31d5e177278c",
"body": "/attention-gym/examples# python benchmark.py\r\nTraceback (most recent call last):\r\nFile \"/root/attention-gym/examples/benchmark.py\", line 53, in <module>\r\nflex_attention = torch.compile(_flex_attention, dynamic=False, mode=\"max-autotune-no-cudagraphs\")\r\n^^^^^^^^^^^^^^^\r\nNameError: name '_flex_attention' is not defined. Did you mean: 'flex_attention'?",
"is_bot": false,
"headline": "fix variable name error (#191)",
"author_name": "Li Dong",
"author_login": "donglixp",
"committed_at": "2026-01-06T17:45:47Z",
"body_truncated": false,
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},
{
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"body": "stack-info: PR: https://github.com/meta-pytorch/attention-gym/pull/186, branch: drisspg/stack/26",
"is_bot": false,
"headline": "Add bwd to flash exmample (#186)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-12-22T16:49:42Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9296bb44e2c83e9db70d2431d26c461f784728d4",
"body": null,
"is_bot": false,
"headline": "Update bench (#183)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-12-18T21:54:34Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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"body": null,
"is_bot": false,
"headline": "better impl (#182)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-12-16T00:54:53Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cc1e34e3edbe79bd39553ab8e1b3874e7e004ce0",
"body": null,
"is_bot": false,
"headline": "Add small exmaple script on use flex flash (#181)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-12-03T00:24:50Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "319f5e0a2a6dcc4799021b64cc16feb1e7aacaee",
"body": null,
"is_bot": false,
"headline": "Add option for AOTI backend for AOT precompile (#177)",
"author_name": "James Wu",
"author_login": "jamesjwu",
"committed_at": "2025-11-18T20:38:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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"body": null,
"is_bot": false,
"headline": "Explain subtle flag (#180)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-11-14T18:33:32Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1313b59204ebb64974d9f7b6f647cc574343daf7",
"body": null,
"is_bot": false,
"headline": "Add scripts (#178)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-11-13T21:16:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9dfdce38877f0b5f505df53bf1153ba80c557cbb",
"body": null,
"is_bot": false,
"headline": "Add grabber script (#169)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-11-12T16:08:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "101a7a9653a43b8b33240cedbcb38e71d3cedc43",
"body": "* Example script using aoti\n\n* Add flex_aoti\n\n* add flex\n\n* Add aot flex script not aoti",
"is_bot": false,
"headline": "Example script using aoti (#176)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-11-07T19:50:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0236f317aec884ff7415ea3fdd370899a9089f8c",
"body": null,
"is_bot": false,
"headline": "tweaks (#175)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-11-06T01:33:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "dc39d5dd9fae526c81c0ffca001be97670fbcd4f",
"body": null,
"is_bot": false,
"headline": "[doc] renaming argument to solve mismatch with description. (#170)",
"author_name": "Ambroise Odonnat",
"author_login": "ambroiseodt",
"committed_at": "2025-10-23T16:56:37Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6e36dd9f18997fdf1562a896df035540f33e3f0d",
"body": null,
"is_bot": false,
"headline": "Add test script (#168)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-10-17T18:05:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d955666e83acbb0e272d3e35db4cdba77a3c31f6",
"body": "* Update git ignore\n\n* updates to script",
"is_bot": false,
"headline": "tweaks (#164)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-09-10T01:50:35Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "af7ba103597d8a220b0a05047d981460b754d644",
"body": "* Replace 'pytorch-labs' with 'meta-pytorch' in 2 files\n\n* Replace 'pytorch-labs' with 'meta-pytorch' in 2 files",
"is_bot": false,
"headline": "[EZ] Replace `pytorch-labs` with `meta-pytorch` (#162)",
"author_name": "Zain Rizvi",
"author_login": "ZainRizvi",
"committed_at": "2025-08-22T23:34:02Z",
"body_truncated": false,
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},
{
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"body": null,
"is_bot": false,
"headline": "Update flex-perf-script (#160)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-08-14T01:14:22Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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"body": "stack-info: PR: https://github.com/pytorch-labs/attention-gym/pull/158, branch: drisspg/stack/23",
"is_bot": false,
"headline": "add marimo notebook on debugging (#158)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-07-18T02:42:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "189dc56bb477d39f53c3b0f7a8cf03f51654cbf6",
"body": null,
"is_bot": false,
"headline": "Add script + configs (#157)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-07-17T03:20:59Z",
"body_truncated": false,
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},
{
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"body": null,
"is_bot": false,
"headline": "Add test workflow (#156)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-07-15T00:17:41Z",
"body_truncated": false,
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},
{
"oid": "82b4371f4e51563021173b9ce5a41be1a5f88a4c",
"body": null,
"is_bot": false,
"headline": "Add causal specific bm generator (#155)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-07-15T00:12:14Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fe29a1d7f4d18bbecb0888b18ba723b725b3935f",
"body": "stack-info: PR: https://github.com/pytorch-labs/attention-gym/pull/154, branch: drisspg/stack/19",
"is_bot": false,
"headline": "Add max memory usage to bench (#154)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-07-14T17:02:34Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "46f7c8cff6c42dd357c479943ad6f6ba44b14509",
"body": "stack-info: PR: https://github.com/pytorch-labs/attention-gym/pull/153, branch: drisspg/stack/18",
"is_bot": false,
"headline": "Update bench (#153)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-07-11T18:49:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "bd54fcdae7cb33d5b5384628abc76116c7e33ec8",
"body": "stack-info: PR: https://github.com/pytorch-labs/attention-gym/pull/152, branch: drisspg/stack/17",
"is_bot": false,
"headline": "Fix format (#152)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-07-11T18:01:27Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "913eabe977d51161164c282e84897f447ba42b3d",
"body": null,
"is_bot": false,
"headline": "Fix bench_block_mask so it can run. (#150)",
"author_name": "Lucas Beyer",
"author_login": "lucasb-eyer",
"committed_at": "2025-07-11T17:59:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b184f2a152932bcd23e3db79ce90408a037d1cca",
"body": "stack-info: PR: https://github.com/pytorch-labs/attention-gym/pull/151, branch: drisspg/stack/16",
"is_bot": false,
"headline": "pre-commit (#151)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-07-11T17:33:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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"body": "stack-info: PR: https://github.com/pytorch-labs/attention-gym/pull/147, branch: drisspg/stack/15",
"is_bot": false,
"headline": "Fix ruff (#147)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-06-23T23:27:35Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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"body": null,
"is_bot": false,
"headline": "Support SVG spatial and temporal mask (#146)",
"author_name": "Haocheng Xi",
"author_login": "haochengxi",
"committed_at": "2025-06-23T23:18:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b9e260f15930c81fbbf54f5e927fb09b355d772d",
"body": "ghstack-source-id: 3165f821a599678e1349dbcc452a45cff267f8a1\nPull-Request-resolved: https://github.com/pytorch-labs/attention-gym/pull/136\n\nstack-info: PR: https://github.com/pytorch-labs/attention-gym/pull/144, branch: drisspg/stack/13",
"is_bot": false,
"headline": "Add benchmark for measuring create_block_mask creation time (#144)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-06-10T22:16:11Z",
"body_truncated": false,
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},
{
"oid": "80e3d3b6c6ca9dc0bd94eb60eabbcaa720231cf3",
"body": "stack-info: PR: https://github.com/pytorch-labs/attention-gym/pull/143, branch: drisspg/stack/12",
"is_bot": false,
"headline": "Add claude md files (#143)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-06-05T14:09:30Z",
"body_truncated": false,
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},
{
"oid": "87a9b932ec2c3a5c3eaf7a689022185abb002349",
"body": "stack-info: PR: https://github.com/pytorch-labs/attention-gym/pull/142, branch: drisspg/stack/11",
"is_bot": false,
"headline": "Fix publsih (#142)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-05-30T19:20:14Z",
"body_truncated": false,
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},
{
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"body": "stack-info: PR: https://github.com/pytorch-labs/attention-gym/pull/141, branch: drisspg/stack/10",
"is_bot": false,
"headline": "add benchmark (#141)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-05-30T19:15:34Z",
"body_truncated": false,
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},
{
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"body": "* Add Sliding Tile Attention impl\n\n* Fix format",
"is_bot": false,
"headline": "Add Sliding Tile Attention impl (#140)",
"author_name": "tmux",
"author_login": "yibozhong",
"committed_at": "2025-05-28T17:50:38Z",
"body_truncated": false,
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},
{
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"body": null,
"is_bot": false,
"headline": "Proper doc string deepseek ref in latent_attention.py (#139)",
"author_name": "Pavel T",
"author_login": "curlup",
"committed_at": "2025-05-23T22:10:17Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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"body": "stack-info: PR: https://github.com/pytorch-labs/attention-gym/pull/134, branch: drisspg/stack/9",
"is_bot": false,
"headline": "Make matplotlib lazy (#134)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-04-11T20:56:03Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "15201f402531f188e4115756b824d0c3a1b81f84",
"body": "stack-info: PR: https://github.com/pytorch-labs/attention-gym/pull/132, branch: drisspg/stack/8",
"is_bot": false,
"headline": "add batchify mask-mod (#132)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-04-05T19:12:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "001b36d625aceae8a03f59241113e4797122db1d",
"body": null,
"is_bot": false,
"headline": "Fix natten x y dims (#128)",
"author_name": "Fernando Cossio",
"author_login": "fcossio",
"committed_at": "2025-03-18T21:19:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "41a96b6cbb0a2cc0aa89523f8bc1783bcb4a88c4",
"body": null,
"is_bot": false,
"headline": "Change import structure (#125)",
"author_name": "Driss Guessous",
"author_login": "drisspg",
"committed_at": "2025-03-09T23:49:05Z",
"body_truncated": false,
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],
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"schema_version": "0.26.0",
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"full_name": "meta-pytorch/attention-gym",
"license_state": "standard",
"license_spdx": "BSD-3-Clause"
}Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.
Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v1.13.0, esquema v0.26.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.