公开记录良好
软件健康报告模式 0.26.0 · 指标 1.13.0 · 2026-07-22 03:22 UTC
FluxML / NNlib.jl
Neural Network primitives with multiple backends
FluxML/NNlib.jl 的健康指数为 100 分中的 71 分，处于「良好」区间。 其得分最高的类别是Vitality（80/100），最低的是Security（52/100）。 最近一次更新在今天。 近期的大部分工作由 4 位贡献者完成。
71
总分 / 100软件健康指数
指标归入加权类别，统一采用 1–100 量表。总体分先取类别加权平均；当公开证据触发高风险司法辖区政策时，评级会按政策调整，并设置 49（有风险）的上限。AI 就绪度不计入总体分。
71
优秀85-100堪称典范；基本满足所有检验标准
良好70-84健康；仅有轻微不足
中等50-69可接受，但存在明显不足；建议进行审查
存在风险30-49存在重大薄弱环节；采用时应保持审慎
危急1-29问题严重（项目被弃置、仅有单一维护者、缺乏基本工程规范）
评分画像
每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形，而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。
所有权
按类别列示的指标
活力
项目是否仍有生命——是否仍在编写代码，是否仍在发布版本？
80
开发活跃度
72良好
评分方式
| 36/36 | 推送新近度 — 最近一次推送于 0 天前 |
| 9/36 | 提交节奏 — 52 周中有 13 周有提交 |
| 16.8/18 | 提交量 — 最近一年 74 次提交 |
| 10/10 | OpenSSF Scorecard：Maintained — 30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10 |
所用输入
| commits_last_year | 74 |
| human_commit_share | 0.84 |
| days_since_last_push | 0 |
| active_weeks_last_year | 13 |
发布纪律
92优秀
评分方式
| 27/27 | 有发布版本 — 已发布 100 个发布版本 |
| 36/36 | 发布时效 — 最近一次发布版本于 14 天前 |
| 19.8/27 | 发布节奏 — 约每 51.4 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 100 |
| latest_release_tag | v0.9.38 |
| releases_from_tags | 否 |
| days_since_latest_release | 14 |
| mean_days_between_releases | 51.4 |
已排除计分（无数据或不适用）：OpenSSF Scorecard：Signed-Releases。 其余权重已重新归一化。
社区与采用
项目是否拥有用户、下载量与关注度，并具备欢迎贡献者参与的配置？
64
流行度与采用
63中等
评分方式
| 39/60 | 星标 — 255 个星标 |
| 17.7/25 | 复刻 — 134 个复刻 |
| 6.2/15 | 关注者 — 14 位关注者 |
所用输入
| forks | 134 |
| stars | 255 |
| watchers | 14 |
| growth_state | organic |
| growth_factor_pct | 100 |
社区健康
66中等
评分方式
| 22.5/22.5 | README |
| 16.9/22.5 | 许可证 — 存在许可证文件，但不是可识别的许可证 |
| 0/18 | CONTRIBUTING 指南 |
| 13.5/13.5 | 行为准则 |
| 0/7.2 | 议题模板 |
| 6.3/6.3 | PR 模板 |
所用输入
| has_readme | 是 |
| has_license | 是 |
| has_contributing | 否 |
| has_issue_template | 否 |
| has_code_of_conduct | 是 |
| has_pull_request_template | 是 |
可持续性与治理
项目能否在其成员之外延续——巴士系数、响应能力、由谁支持，以及软件包的维护状况？
76
维护者韧性（巴士系数）
83良好
评分方式
| 43.2/54 | 巴士系数 — 4 位贡献者贡献了半数提交 |
| 16.4/22.5 | 提交分布 — 头号贡献者编写了 27% 的提交 |
| 13.5/13.5 | 贡献者广度 — 94 位贡献者 |
| 10/10 | OpenSSF Scorecard：Contributors — project has 89 contributing companies or organizations |
所用输入
| bus_factor | 4 |
| contributors_sampled | 94 |
| top_contributor_share | 0.269 |
议题与 PR 响应能力
73良好
评分方式
| 39.8/46.8 | 议题解决 — 85% 的议题已关闭 |
| 31.5/38.3 | PR 接受 — 已裁定的 PR 中 384/467 已合并 |
| 1.5/15 | OpenSSF Scorecard：Code-Review — Found 3/28 approved changesets -- score normalized to 1 |
所用输入
| merged_prs | 384 |
| open_issues | 36 |
| closed_issues | 206 |
| issue_closed_ratio | 0.851 |
| closed_unmerged_prs | 83 |
所有权与托管责任
72良好
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 18.1/25 | 所有者影响力 — FluxML 有 333 位关注者 |
| 24.3/25 | 既往记录 — 48 个公开仓库，账户约 9 年 |
所用输入
| followers | 333 |
| owner_type | Organization |
| is_verified | — |
| owner_login | FluxML |
| public_repos | 48 |
| account_age_days | 3,424 |
工程质量
基础的工程与文档实践是否到位？
75
工程实践
68中等
评分方式
| 24/24 | CI 工作流 — 7 个工作流 |
| 24/24 | 存在测试 |
| 0/16 | Linter 配置 |
| 0/9.6 | Pre-commit 钩子 |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard：CI-Tests — 27 out of 27 merged PRs checked by a CI test -- score normalized to 10 |
所用输入
| has_ci | 是 |
| has_tests | 是 |
| has_editorconfig | 否 |
| has_linter_config | 否 |
| has_precommit_config | 否 |
文档
85优秀
评分方式
| 30/30 | README |
| 25/25 | 文档目录 |
| 0/15 | 文档 / 主页站点 |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 3 个主题标签 |
| 10/10 | Wiki |
所用输入
| topics | machine-learning, deep-learning, julia |
| has_wiki | 是 |
| homepage | — |
| has_readme | 是 |
| has_docs_dir | 是 |
| has_description | 是 |
安全
可见的安全与供应链实践是否稳固，且不存在未解决的高风险司法辖区暴露？
52
安全态势
52中等
评分方式
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 2.5/2.5 | CI-Tests — 27 out of 27 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 |
| 0.8/7.5 | Code-Review — Found 3/28 approved changesets -- score normalized to 1 |
| 2.5/2.5 | Contributors — project has 89 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.2/2.5 | 许可证 — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — 无数据 |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — 无数据 |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
所用输入
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5.2 |
已排除计分（无数据或不适用）：packaging, signed_releases。 其余权重已重新归一化。
AI 就绪度
该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件？这是一枚独立的实验性徽章——权重为 0.0，因此单独呈现，不影响总体健康评分。
59
AI 代理上下文与指引
85优秀
评分方式
| 45/45 | 代理指令 — AGENTS.md |
| 0/15 | 机器可读文档（llms.txt） |
| 40/40 | 可读的提交历史 — 84 次人类提交中有 69 次说明了意图（结构化标题或解释性正文） |
所用输入
| has_llms_txt | 否 |
| legible_history_share | 0.821 |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 3,316 |
验证循环（构建 / 测试 / 类型检查）
40存在风险
评分方式
| 0/18 | 一条命令的引导启动 |
| 22/22 | 自动化测试 |
| 0/11 | Lint / 格式化配置 |
| 0/11 | 静态类型检查 |
| 0/10 | 可复现环境 |
| 10/10 | 已体现的代理实践 — 最近 100 次提交中有 41 次由代理编写或署名代理 |
| 8/8 | 自动化维护 — 最近 100 次提交中有 13 次为自动依赖更新 |
| 0/10 | OpenSSF Scorecard：Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | — |
| has_dockerfile | 否 |
| typed_language | 否 |
| bootstrap_files | — |
| has_devcontainer | 否 |
| has_linter_config | 否 |
| typecheck_configs | — |
| agent_commit_share | 0.41 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0.13 |
面向模型的代码可读性
55中等
评分方式
| 0/45 | 可类型检查的代码 — Julia，未配置类型检查 |
| 55/55 | 可控的文件大小 — 采样的 1 个源文件中有 0 个超过 60KB |
所用输入
| primary_language | Julia |
| largest_source_bytes | 1,275 |
| source_files_sampled | 1 |
| oversized_source_files | 0 |
关键数据
255GitHub 星标
94贡献者
74最近 12 个月提交数
0距最近推送天数
100发布版本数
4巴士系数（bus factor）
36开放议题
—软件包生态系统数
数据采集警告
- No resolved dependencies carried a version and a supported ecosystem
更多细节
Star 与 Fork 历史 255 ★ / 134 ⇿
255Star
134Fork
100发布
每颗 star 和每个 fork 的添加时间，来自 GitHub 并按天汇总。累计增长位于其构成来源——每日新增——的正上方，二者可相互对照：稳定的自然增长与短暂的突增形态截然不同。当这一差别可被衡量时，它会作为增长真实性予以报告。
主版本 0次版本 3修订 97
每个点涵盖 9 天。
OpenSSF Scorecard 5.2 / 10
5.2综合
来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身，而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用，并从安全评分中剔除（绝不按零分计）。
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 10 | CI-Tests | 27 out of 27 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 |
| 1 | Code-Review | Found 3/28 approved changesets -- score normalized to 1 |
| 10 | Contributors | project has 89 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10 |
| 不适用 | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| 不适用 | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
全部依赖 2
来自 GitHub 依赖图的完整解析依赖集合：0 个直接依赖与 2 个间接（传递）软件包。仓库提交锁文件时，传递闭包才是完整的。
| 注册表 | 软件包 | 版本 | 关系 |
|---|---|---|---|
| PyPI | numpy | — | 间接 |
| PyPI | torch | — | 间接 |
依赖安全公告 未评估
本报告未能完成公告比对：No resolved dependencies carried a version and a supported ecosystem
原始 JSON 报告 机器可读
{
"data": {
"repo": {
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"machine-learning",
"deep-learning",
"julia"
],
"is_fork": false,
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"languages": {
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"Python": 1275
},
"pushed_at": "2026-07-22T01:15:36Z",
"created_at": "2017-08-21T17:14:26Z",
"owner_type": "Organization",
"updated_at": "2026-07-22T01:16:02Z",
"description": "Neural Network primitives with multiple backends",
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]
},
"owner": {
"blog": "https://fluxml.ai",
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"company": null,
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"followers": 333,
"avatar_url": "https://avatars.githubusercontent.com/u/26222520?v=4",
"created_at": "2017-03-06T12:07:55Z",
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},
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"scorecard_found": true,
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},
"activity": {
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"tag": "v0.9.38",
"kind": "patch",
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{
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},
{
"tag": "v0.8.20",
"kind": "patch",
"published_at": "2023-04-17T21:22:18Z"
},
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"tag": "v0.8.19",
"kind": "patch",
"published_at": "2023-02-21T08:23:05Z"
},
{
"tag": "v0.8.18",
"kind": "patch",
"published_at": "2023-02-11T06:54:27Z"
},
{
"tag": "v0.8.17",
"kind": "patch",
"published_at": "2023-02-04T18:02:51Z"
},
{
"tag": "v0.8.16",
"kind": "patch",
"published_at": "2023-01-24T05:09:04Z"
},
{
"tag": "v0.8.15",
"kind": "patch",
"published_at": "2023-01-07T17:24:42Z"
},
{
"tag": "v0.8.14",
"kind": "patch",
"published_at": "2023-01-05T19:43:18Z"
},
{
"tag": "v0.8.13",
"kind": "patch",
"published_at": "2023-01-02T22:35:14Z"
},
{
"tag": "v0.8.12",
"kind": "patch",
"published_at": "2022-12-26T17:15:58Z"
},
{
"tag": "v0.8.11",
"kind": "patch",
"published_at": "2022-11-28T19:20:49Z"
},
{
"tag": "v0.8.10",
"kind": "patch",
"published_at": "2022-10-24T17:37:18Z"
},
{
"tag": "v0.8.9",
"kind": "patch",
"published_at": "2022-07-22T23:18:04Z"
},
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"committed_at": "2026-06-10T06:07:43Z",
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"oid": "4ed25976bb6c67a4f2d04630e26fd1f37fbde6eb",
"body": null,
"is_bot": false,
"headline": "Bump version from 0.9.35 to 0.9.36",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-10T03:50:57Z",
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"oid": "8d831105dc79e56005d97523595593be16b505e5",
"body": "* Support complex inputs in meanpool on GPU (fixes #610)\n\nMean pooling is linear, so the cuDNN extension supports complex inputs by\npooling the real and imaginary parts independently and recombining, mirroring\nthe existing complex-conv pattern. This already worked on the CPU path via the\ngeneric imp\n[…]\nCUDA/CPU complex tests to\nalso cover the AD path.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Support complex inputs in meanpool across backends (fixes #610) (#711)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-10T03:49:56Z",
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"oid": "ba68bbbaaf039f1fd1ef791ce895a18a850f8398",
"body": "The `@inferred stft(x; n_fft=16)` test in test/testsuite/spectral.jl was\ndisabled with a \"TODO fix type stability for pad_reflect\" comment. There\nwere two distinct sources of instability:\n\n1. The single-dimension padding kernels (`pad_reflect`, `pad_symmetric`,\n `pad_circular`, `pad_repeat`) forwa\n[…]\nng docstring examples match\nexactly, gradients agree with finite differences, and the padding.jl and\nspectral CPU testsuites pass.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Make padding functions and stft type-stable (#702) (#713)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-10T03:45:10Z",
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"oid": "6af48f575444f9ee3e9d8c40101c36849b2121af",
"body": "* Enable Enzyme tests on Julia 1.12\n\nEnzyme is functional on Julia 1.12 (verified against Enzyme 0.13.154):\nconv!/∇conv_data!/∇conv_filter!/depthwiseconv! (spatial ranks 1-3),\nmaxpool!/meanpool!, gather!, scatter! and dropout all pass.\n\n- runtests.jl: extend the `Test_Enzyme` guard to `v\"1.13-\"` so \n[…]\nhttps://github.com/EnzymeAD/Enzyme.jl/issues/3150\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Enable Enzyme tests on Julia 1.12 (#708)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-10T01:58:17Z",
"body_truncated": true,
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"oid": "49948aeea8174d6105236a40d2f912d6651da83c",
"body": "…nbreak tests (#706)\n\nAudit follow-up to #702.\n\nsrc/activations.jl:\n- hardσ: the broadcasted/scalar derivative returned `oftf(Ω, 1)` (i.e. 1)\n in its saturated branch instead of 0, so the gradient was wrong for |x|>3\n on every backend. The existing gradtests only probe ±2±rand, always inside\n har\n[…]\nactivations.jl: add a regression test checking saturated-region gradients\n of hardσ/hardtanh/relu6/hardswish against ForwardDiff.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix clamping-activation gradients (incl. hardσ correctness bug) and u…",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-09T16:47:35Z",
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"oid": "8918579a075e3e77d01a7c22d90712c94ba5e766",
"body": "…ing (#705)\n\nWhen `gather`/`scatter` are called with the source/destination on the GPU\nbut the index array left on the CPU, dispatch previously fell through to the\ngeneric method, which scalar-indexes the GPU array — slow, or an error under\n`allowscalar(false)`. Add methods that move such an index o\n[…]\nr GPU) against the\nindexed dimensions before launching the kernel, for both the generic-KA and\nCUDA-specific scatter paths (#416).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Support CPU index with GPU source in gather/scatter, add bounds check…",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-09T16:47:08Z",
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"oid": "1992a728e9f986d13dcf7640f202adefe171126a",
"body": "…03) (#704)\n\n* Support all scatter reduction ops on Metal (#534)\n\nThe shared GPU scatter kernel performed its atomic update via\n`Atomix.modify!`, whose Metal backend only implements a fixed op list.\nOn Metal this meant:\n\n- `max`/`min` on floats failed to compile (no Float32 atomic_fetch_max/min,\n s\n[…]\noverride. The Metal grad\ntests now cover all ops.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix scatter on Metal: all reduction ops and gradients (fixes #534, #7…",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-09T15:47:10Z",
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"oid": "33528494bed3403a26a609cbc930f96a41d8b3ab",
"body": "cuDNN's TRUE_HALF_CONFIG (accumulate in Float16) is unsupported for 3D\nconvolutions and for many backward-filter shapes, surfacing as\nCUDNN_STATUS_NOT_SUPPORTED / BAD_PARAM. Set the convolution descriptor's\ncompute type to Float32 for Float16 inputs (PSEUDO_HALF_CONFIG), which is\nbroadly supported a\n[…]\nhin Float16\nrounding), plus explicit regression guards for the #505 (5D forward) and\n#515 (3=>64, 1x1-output ∇conv_filter) shapes.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix Float16 GPU conv via PSEUDO_HALF_CONFIG (fixes #505, #515) (#701)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-09T15:09:03Z",
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"oid": "8ee3540eccd991597e6c89d2fe33f608035e29fe",
"body": "…pace (#520) (#700)\n\nGrouped convolutions (and, since #698, depthwise convolutions) allocated a\nfresh im2col `col` workspace per group, so a depthwise conv with N channels\nallocated O(N) buffers. They also nested two levels of threading (parallel\nover groups x per-image batch threading inside each g\n[…]\n to share).\n\nThe #520 MWE drops from ~12.6k to ~1.2k allocations and the redundant per-group\ncol buffers (~13 MiB) are eliminated.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Reduce grouped/depthwise conv allocations by sharing the im2col works…",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-09T13:17:03Z",
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"oid": "7c006e7bcc74eb75438e2c420cadaee6f1c73bf2",
"body": "…698)\n\nA depthwise convolution is exactly a grouped convolution with\n`groups == channels_in`. The specialized depthwise im2col/direct kernels\nbenchmarked consistently slower than the generic grouped-convolution path\n(forward, ∇data, and especially ∇filter which was ~4.5x slower), so route\nevery dept\n[…]\ng test is repurposed to check `depthwiseconv` against an\nindependently (explicit-loop) reordered grouped convolution.\n\nCloses #402\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Implement depthwiseconv via grouped conv, drop specialized kernels (#…",
"author_name": "Carlo Lucibello",
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"committed_at": "2026-06-09T09:56:33Z",
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"oid": "9f5ada1bd0bdb038fede4248c0a2907bd7d01c57",
"body": "* Thread CPU conv within a single image at small batch (#234)\n\n`conv_im2col!` only parallelized over the batch dimension, so with\n`batch < nthreads` the extra threads sat idle — the main reason CPU conv\nlagged PyTorch at small batch in #234.\n\nWhen there are fewer images than tasks, also split each i\n[…]\nin a fair 4-thread config and report\nthe minimum.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Thread CPU conv within a single image at small batch (#234) (#697)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-09T09:55:21Z",
"body_truncated": true,
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"oid": "741381c577e0b389afaf5a2ea09a6840a8f5be08",
"body": "* Add conv perf analysis to benchmark README\n\nSummarizes why NNlib's CPU conv is slower than PyTorch's: NNlib threads\nonly over the batch dimension (idle cores when batch < nthreads), while\nPyTorch dispatches float32 convs to oneDNN's JIT direct convolution, which\nparallelizes within a single image.\n[…]\nright fix, not a from-scratch\ndirect convolution.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add CPU conv performance analysis to benchmark README (#696)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-09T06:53:07Z",
"body_truncated": true,
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"oid": "0a62811a0981645780fa165dffa7c999217ed95d",
"body": "cuDNN exposes two average-pooling modes: one that includes padding zeros\nin the averaging denominator and one that excludes them. NNlib's meanpool\nonly implemented the include-padding mode.\n\nAdd a `count_include_pad` keyword (default `true`, so the behavior is\nunchanged) to `meanpool`. When `false`,\n[…]\nyword.\n- Tests: CPU forward/gradient vs a brute-force reference across spatial\n ranks, and CPU-vs-cuDNN agreement for both modes.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add count_include_pad option to meanpool (issue #218) (#694)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-09T06:48:19Z",
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"oid": "2ccb412c4c05f38305277078619925e1670ea5ef",
"body": "Adds benchmark/conv_vs_pytorch/ with matched forward-conv benchmarks for\nNNlib and PyTorch on CPU (4 threads, Float32), reproducing the ~2x slowdown\nreported in #234. The Python side is managed with uv (CPU-only torch).\n\nConfirms NNlib is ~2-3x slower for common conv shapes, with the gap nearly\nclosing for 1x1 convs (pure GEMM), pointing at the im2col path and\nallocations rather than the matmul.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add CPU conv benchmark comparing NNlib vs PyTorch (issue #234) (#695)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-09T06:19:42Z",
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"oid": "cf6f551ffc5f89713b07571b689770fcd83c76b0",
"body": "* activations: support complex inputs, with stable forward and correct gradients\n\nHolomorphic activations (σ, swish, softplus, logσ, mish, logcosh, tanh_fast,\nlisht, tanhshrink, gelu_*) now work on complex inputs. Only σ(::Complex) and\nsoftplus(::Complex) had to be added; the functions defined in te\n[…]\nrectly\nadjacent to the definition for Documenter.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Support complex inputs in activation functions (#691)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-09T05:57:38Z",
"body_truncated": true,
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{
"oid": "bd43698819415caf4f9cb7f42ff2ac9cdff7881d",
"body": "Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 6 to 7.\n- [Release notes](https://github.com/codecov/codecov-action/releases)\n- [Changelog](https://github.com/codecov/codecov-action/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/codecov/codecov-action/compare/v\n[…]\nirect:production\n update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
"is_bot": true,
"headline": "Bump codecov/codecov-action from 6 to 7 (#688)",
"author_name": "dependabot[bot]",
"author_login": "dependabot[bot]",
"committed_at": "2026-06-08T06:13:29Z",
"body_truncated": true,
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{
"oid": "bc1d3fa20dce885dfea4d2b22fc83d74b57db0a0",
"body": "batched_mul already reshaped trailing batch dimensions to dispatch to\nthe 3D implementation, but batched_mul! only had a 3D method. Add a\ngeneric N-D method that reshapes to 3D (sharing data, no copy) and\nvalidates batch sizes.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Support N-D arrays in batched_mul! (#529) (#685)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-07T20:01:42Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "01a3d38211a12323f78dda0138c6bd0cca98d4bc",
"body": "Thread the dimension count through `gen_pad` as `Val{N}` instead of a\nruntime `Int`, so the internal `ntuple` calls infer to fixed-length\ntuples. Previously `pad_constant`/`pad_zeros` with a tuple pad and the\ndefault `dims = :` inferred to `Any`.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix type instability in pad_constant/pad_zeros (#409) (#684)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-07T20:01:26Z",
"body_truncated": false,
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"oid": "3b7d37454d2c323c7f1fb05526289cdb300cb493",
"body": "The referenced ChainRulesTestUtils.jl PR #166 has been merged.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Remove obsolete TODO comment in test_utils (#428) (#687)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-07T20:01:03Z",
"body_truncated": false,
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"oid": "01e14b9c007545e4bf2d36443f7d1d810b5515da",
"body": "Document input/output array layouts, the output size formula, keyword\narguments, and add a runnable example.\n\nFixes #544\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Improve conv docstring with dimensions and examples (#683)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-07T19:31:28Z",
"body_truncated": false,
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{
"oid": "fdf019b5af2ed37b2f466e9e74fe9a0711f05bd4",
"body": "…#682)\n\nUnicodePlots 3.5 (April 2023) changed the function-plot signature from\nlineplot(f, lo, hi) to lineplot(lo, hi, f). Update the docstring examples\nin activations.jl accordingly.\n\nFixes #623\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Update lineplot syntax in activations.jl docs for UnicodePlots 3.5+ (…",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-07T19:30:54Z",
"body_truncated": false,
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"oid": "3f0c77779780f7ab099935ae2fc165a8ff29e242",
"body": "Mark the documented but non-exported functions (gather, gather!, scatter,\nscatter!, fold, unfold, glu, within_gradient) with the `public` keyword.\nParsed lazily via Meta.parse since `public` is only valid syntax on Julia 1.11+.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Mark non-exported public API with `public` keyword (fixes #624) (#681)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-07T19:30:31Z",
"body_truncated": false,
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"oid": "1f2619de7519f7166ae50ecb963e0f733dc84c69",
"body": "`gather` had a multi-index method `gather(src, IJK...)` but the\nmutating `gather!` was missing the equivalent, causing a MethodError\nfor `gather!(dst, src, I, J, ...)`.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add multi-index gather! method (fixes #626) (#680)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-07T19:29:51Z",
"body_truncated": false,
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{
"oid": "36292dbf829db57b82bd927a3e8297399a7015f3",
"body": "The previous definition `log1p(exp(-abs(x))) + relu(x)` has kinks from\n`abs`/`relu` at x=0, so AD (e.g. ForwardDiff for Hessians) computed a\nwrong gradient there (-0.5 instead of 0.5), breaking convexity of\nInput-Convex NNs at the origin.\n\nSwitch to the logaddexp formulation, branching on the sign of x so each\nbranch is smooth and analytic. Values and numerical stability are\nunchanged.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix softplus to be smooth at the origin (#671) (#679)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-07T19:16:36Z",
"body_truncated": false,
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{
"oid": "f6f0fca4cd4d7b752325b472714fa88f658878ff",
"body": null,
"is_bot": false,
"headline": "Bump version from 0.9.34 to 0.9.35",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-07T18:00:37Z",
"body_truncated": false,
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{
"oid": "a0a5a09998c1840f06e0a41d8f5f4df366cab43d",
"body": "- Replace removed CUDA.adapt with Adapt.adapt in ctc.jl\n- Move all using/import statements to the module file\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix CUDA.adapt and centralize imports in NNlibCUDAExt (#678)",
"author_name": "Carlo Lucibello",
"author_login": "CarloLucibello",
"committed_at": "2026-06-07T18:00:19Z",
"body_truncated": false,
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"oid": "5b972a6a7920239914027d6b4d300e1d1bcc806a",
"body": "Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 5 to 6.\n- [Release notes](https://github.com/codecov/codecov-action/releases)\n- [Changelog](https://github.com/codecov/codecov-action/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/codecov/codecov-action/compare/v\n[…]\nirect:production\n update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
"is_bot": true,
"headline": "Bump codecov/codecov-action from 5 to 6 (#674)",
"author_name": "dependabot[bot]",
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"committed_at": "2026-06-07T08:14:53Z",
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{
"oid": "670dba1a8d2e51d21c2c41011469e9d3382f9480",
"body": "Bumps [julia-actions/cache](https://github.com/julia-actions/cache) from 2 to 3.\n- [Release notes](https://github.com/julia-actions/cache/releases)\n- [Commits](https://github.com/julia-actions/cache/compare/v2...v3)\n\n---\nupdated-dependencies:\n- dependency-name: julia-actions/cache\n dependency-versi\n[…]\nirect:production\n update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
"is_bot": true,
"headline": "Bump julia-actions/cache from 2 to 3 (#673)",
"author_name": "dependabot[bot]",
"author_login": "dependabot[bot]",
"committed_at": "2026-06-07T08:14:41Z",
"body_truncated": true,
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{
"oid": "bdbd71989f81d0c784b1a051b5f2cc265feff94f",
"body": "Bumps [julia-actions/setup-julia](https://github.com/julia-actions/setup-julia) from 2 to 3.\n- [Release notes](https://github.com/julia-actions/setup-julia/releases)\n- [Commits](https://github.com/julia-actions/setup-julia/compare/v2...v3)\n\n---\nupdated-dependencies:\n- dependency-name: julia-actions/\n[…]\nirect:production\n update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
"is_bot": true,
"headline": "Bump julia-actions/setup-julia from 2 to 3 (#677)",
"author_name": "dependabot[bot]",
"author_login": "dependabot[bot]",
"committed_at": "2026-06-07T08:14:13Z",
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