diff --git a/.gitignore b/.gitignore index 931d2cd..db06042 100644 --- a/.gitignore +++ b/.gitignore @@ -47,5 +47,5 @@ webapp/models/*.meta.json # 从头重跑时旧产物挪到这里(不入库) ml/archive/ -# onnxruntime-web 本地副本(bash ml/prep/vendor_ort.sh 生成,约 50 MB,不入库) -webapp/vendor/ort/ +# onnxruntime-web 本地副本(约 33 MB):**入库**,离线/无 npm 时直接可用,不再依赖 CDN(2026-10-18 用户要求) +# 来源 onnxruntime-web@1.20.1 dist,六个文件 + VERSION;ml/prep/vendor_ort.sh 在缺失时仍可补齐 diff --git a/docs/ML运行手册审查.md b/docs/ML运行手册审查.md index 7ab7f84..2fdcf3d 100644 --- a/docs/ML运行手册审查.md +++ b/docs/ML运行手册审查.md @@ -3,7 +3,7 @@ 六轮历史(`0218d7f` → `a5e779c`):第一轮 13 条、第二轮可行性、第三~五轮处置、第六轮本机实跑。**已解决的条目按用户要求删去,完整原文在 git 历史里**。本文件只剩三部分:仍有效的实测数字 / 仍未解决的问题 / 已复核正常的项,供实现方下一轮处置。 环境:本机 CBB-003(RTX 3090、28 核、Python 3.12 + torch 2.10 + onnxruntime 1.22、Edge + onnxruntime-web 1.20.1)。 -当前结论:第 1–6 步已实测可跑;**第 7–13 步零证据**;R4 部署口径(纯推理)已判通过,`bash ml/pipeline.sh r4` 端到端 rc=0(2026-10-18 本机修复后复跑)。A 组原三处中两处已修,只剩离线部署 A-3。 +当前结论:第 1–6 步已实测可跑;**第 7–13 步零证据**;R4 部署口径(纯推理)已判通过,`bash ml/pipeline.sh r4` 端到端 rc=0(2026-10-18 本机修复后复跑)。A 组原三处中两处已修,A-3 由实现方第七轮改掉、待本机复跑验证。**第七轮本机复核与显存预算(19–20 GB)见第七节。** --- @@ -43,8 +43,8 @@ tickGapMax 全部 ≈21.5 ms(20 ms 节拍没被卡住)。背景:第五轮 - `pipeline.sh` 7 处 `json.load(open(...))` 全部补 `encoding='utf-8'`(`:90 :110 :118 :127 :136 :138 :144`)。 - 附带发现并修掉:r4 分支末行 `[ "$r" = null ] && echo` 在 `r=pass` 时整体返回 1,`set -e` + EXIT trap 把**通过的 r4 记成 rc=1**(`all` 会因此停)。已改为 `if ... then ... fi`。 -**A-3 仍未修:`&ortLocal=1` + 默认 proxy 必然失败。** -`ik-policy-glue.js` 把 `ort.env.wasm.wasmPaths` 设为相对前缀 `vendor/ort/`,ORT 对 `.mjs` 走 `import()` 需要绝对说明符 → `no available backend found. ERR: [wasm] TypeError: Failed to resolve module specifier 'vendor/ort/ort-wasm-simd-threaded.mjs'`。README 明确支持的离线部署路径在默认配置下不可用。(`ortLocal=1` + `proxy=0` 未测;`wasmPaths` 与 proxy 无关,大概率同样失败。) +**A-3 离线 ort 加载:实现方第七轮已改(绝对 URL + `vendor_ort.sh`),本机待复跑验证。** +`ik-policy-glue.js` 把 `ort.env.wasm.wasmPaths` 设为相对前缀 `vendor/ort/`,ORT 对 `.mjs` 走 `import()` 需要绝对说明符 → `no available backend found. ERR: [wasm] TypeError: Failed to resolve module specifier 'vendor/ort/ort-wasm-simd-threaded.mjs'`。README 明确支持的离线部署路径在默认配置下不可用。(`ortLocal=1` + `proxy=0` 未测;`wasmPaths` 与 proxy 无关,大概率同样失败。)**复跑判据**:断网/CDN 不可达时 `bash ml/pipeline.sh r4` 仍能出数(探针默认走本地 `webapp/vendor/ort/`),且 `&ortLocal=1` 的查看器徽标显示「策略模式就绪」。 ### B. 待实现方判断(数据已摆在上面;分歧按第五轮第〇节规则,以实现方为准) @@ -60,12 +60,13 @@ tickGapMax 全部 ≈21.5 ms(20 ms 节拍没被卡住)。背景:第五轮 2. **3 mm 间隙过滤的真实剔除比例(`gapDrop`)没测过**:只测过沙箱 30 条(剔 9/29,不具代表性);上表 p50 4.4 mm 是未过滤口径。生成后看 `stats.json` 的 `gapDrop`。 3. **R2 新判据(`label_std_norm`)的池无关性**:需在 1.7 M 样本上 `--pool 50000` 与 `--pool 200000` 两跑、差 <0.02 才成立;没做。默认 `R2_STRICT=0` 只警告,开着就是一道未校准的闸。 4. **R8 出题耗时**:沙箱 2 题 9 分钟没出完;本机未测(`policy_bench.json` 会记 `requested` / `genS`,不足额时看警告)。 -5. **Windows 侧生命周期全部未实测**:关控制台黑窗口训练是否继续(`CREATE_NO_WINDOW`)、`/proc/$$/winpid` + `taskkill /T` 能否结束整树、Git Bash 自带 `timeout` 能否把 TERM 送到 python / node。 -6. **断点续跑的沙箱自测未在本机复核**:gen 截断续写(「续写:已有 N 条」)、train STOP 存档(rc 143、`last.pt` 第 N 步)、apg `--resume`、prep 二次运行「待打包 0 个」。 +5. ~~**Windows 侧生命周期未实测**~~ → **已实测**(见 7.2):整树杀净 ✅、关黑窗口训练继续 ✅、`timeout` 的 TERM 送不到 python ❌(超时只能硬杀,靠 STOP 文件与定时存档)。 +6. ~~**断点续跑未在本机复核**~~ → **已实测**(见 7.2):gen 按条续写逐条一致、train STOP 2 s 存档续训、apg `--resume`、prep 二次运行「待打包 0 个」全部通过。 +7. **APG 的机时仍然零实测**(显存已量:`batch=48/plans=150` → 13.08 GiB)。`batch` 从 128 降到 48 后每步代价与收敛都要重算一遍才知道。 ### D. 小遗留 -`webapp/models/README.md` 过时:还写"由 `--fp16` 生成"、指向"第 8 步"(现为第 10 步、默认 fp32)。 +~~`webapp/models/README.md` 过时~~ → 实现方第七轮已改,本机复核过:现在写的是 `bash ml/pipeline.sh export`(默认 fp32)、第 10 步、新输入签名 `feat[1 或 K,83]` 与 `feat_dyn`,并说明离线要先跑 `ml/prep/vendor_ort.sh`。 --- @@ -81,7 +82,7 @@ tickGapMax 全部 ≈21.5 ms(20 ms 节拍没被卡住)。背景:第五轮 1. ~~A 组修复并重跑 `r4`~~:已完成(本机 2026-10-18,rc=0、P99 11.25)。 2. 接着 `FROM=gen TO=prep` 跑一次(数小时),拿 `gapDrop` 与 R2 两个口径的数——C-2 / C-3 随之消掉,B-2 的 Node 侧安全层数字可顺手从 m5 前的 bench 拿。 -3. B 组等上面的数字齐了再定;C-1 / C-5 / C-6 随第一次真跑逐项核对;A-3(离线 ort 加载)交给实现方。 +3. B 组等上面的数字齐了再定;C-1/C-7 随第一次真跑逐项核对;A-3 由实现方已改,本机复跑 `r4` 时顺带验(会弹有界面窗口)。 --- @@ -179,3 +180,106 @@ V1 通过后再跑,分三段,每段跑完把回传文件发我: | 后训练与评测 | `FROM=apg TO=accept bash ml/pipeline.sh all` | 约 10–20 小时 | `ml/runs/acceptance.json`、`policy_bench.json`、`r9_browser.json` | 任何一段中途出错:把出错信息发我,我修完后用 `FROM=<出错阶段>` 接着跑,前面的不重做。 + +--- + +## 七、本机复核第六/七轮处置(2026-10-18,含显存预算) + +**先说约束(用户定的,之前所有估算都按整卡 24 GB 写了)**:本机 Windows + 4K 桌面**空闲就占 4.4 GB**(`nvidia-smi` 空载 23604→4394 MiB 实测),所以 **ML 只能用 19–20 GB**。 + +### 7.1 APG 会直接把第 8 步打崩(实测,非推算) + +用 d=192(与正式训练同结构)、`--steps 1`(峰值在第一次反向就到位)、每进程硬帽 19.2 GB,逐档实测 `max_memory_allocated`(GiB): + +| batch | plans=60 | 90 | 120 | 150 | +|---|---|---|---|---| +| 32 | 6.14 | | | 9.53 | +| **48(已定为新值)** | 7.67 | | | **13.08** | +| 56 | | | 13.61 | | +| 64 | 10.81 | 15.41 | | 17.66 | +| **128(原值)** | **OOM** | | | **OOM**(崩前已分配 17.85 GiB) | + +- **原 `batch=128` 无论 `plans` 取 60 还是 150 都 OOM**(d=32 的小模型也一样,崩前 17.54 GiB)→ 显存是被展开图吃掉的,与模型大小、数据量无关。 +- **已把 `apg.json` 的 batch 定为 48,`plans 60→150` 不动**:最坏 13.08 GiB,加桌面 4.4 GB ≈ 17.5 GB,在 19–20 GB 预算内。没选"降 plans"是因为降展开长度会把长任务的绕出段截掉(就是口径-3 那个问题)。`batch=64 + plans=150` 要 17.66 GiB,加桌面就到 22 GB 了,不取。 +- **加了每进程显存硬帽**:`ml/common/vram.py`,`VRAM_FRAC` 默认 0.78 ≈ 18.7 GiB,训练与 APG 启动时打印上限。没帽时它会把整卡顶到 23.6 GB、连桌面一起挤掉(就是这次报显存的原因)。 +- **显存用量现在看得见**:`train.py` / `apg_finetune.py` 每条日志带 `vram`(峰值 GiB);监控页指标卡加「显存峰值」(>14 黄、>17 红),GPU 卡的显存条改成按 **20 GB 预算**算而不是整卡 24。实测:预训练 `batch=1024` 记到 `vram: 2.71`,APG 自检档 `vram: 0.33`。 +- 对照:预训练 `batch=1024` 峰值 **2.76 GiB**(够);`check_r2` 每样本常驻 **776 B** → 1.7 M 样本 **1.32 GB** + 分块 0.05(4× 池自检 0.2)≈ **1.6 GB**,脚本里"GPU 峰值 <0.5 GB"错了约 3 倍,但不会崩。 +- 顺带:N-6 的"按空闲显存 1/4 自动定块"、出题分块等估算都要按 19 GB 重算。 +- **`ml/configs/smoke.json` 原来没有 `apg` 段**,而 `selftest.sh` 调 APG 时不带 `--config` → 自检第 6 项实际按正式 `batch=128` 跑,在本机必然 OOM、自检永远跑不完。已补 `apg` 段(`batch=8`、实测 `vram` 0.33 GiB)并让自检带 `--config`。 + +### 7.2 生命周期与断点续跑:本机整轮自检 **7/8 通过**,用时 3.5 分钟 + +| 项 | 结果 | +|---|---| +| `gen_resume` | ✅ true(判据修正后)——「续写:已有 2/6 条,从第 3 条继续」,与一口气生成**逐条一致** | +| `prep_rerun` | ✅ true——二次运行「待打包 0 个」 | +| `train_stop` | ✅ true——`--stop-at 20` → rc 143、`last.pt` 第 20 步、续训到 40 步 rc 0 | +| `train_stopfile` | ✅ true——写 `ml/runs/STOP` 后 **2 s** 退出并存档(第 351 步)。控制台「停止」走的就是这条路 | +| `train_term` | ❌ **false(Windows 的真实限制)**——`timeout` 的 TERM 送不到原生 python,rc=124 是硬杀。结论:阶段超时不能指望体面存档,靠 STOP 文件 + 每 10 分钟定时存档 | +| `apg_resume` | ✅ true(自检档 `batch=8`,`vram` 0.33 GiB) | +| `tree_killed` | ✅ true(实测)——`taskkill /T /F` 把 bash→python+node 整树杀净,没留孤儿 | +| `survive_parent_exit` | ✅ true(实测)——启动器退出后子树仍活着 = **关掉控制台黑窗口不影响训练** | + +用时 3.5 分钟(APG 用自检档;上一轮 APG 走正式 `batch=128` 时是 13.2 分钟,而且 OOM)。 +之前测不到的原因:① `monitor.find_bash()` 在本机返回 `None`(Qoder 自带 git 在 `mingw64\bin\git.exe`,"上上级 + bin/bash.exe"推出一个不存在的路径);② `selftest_proc.alive()` 用 `text=True` 读 `tasklist`,中文 Windows 的表头是 GBK → 读线程 `UnicodeDecodeError`、`stdout` 变 `None` → `TypeError`,异常又被 `wait_pids` 的 `except Exception` 吞掉。 + +### 7.3 两条判据自身的问题(会让"通过/失败"失真) + +1. **`selftest.sh:27` 用 `cmp -s` 逐字节比生成结果**,但记录里含 `plan_ms` 与 `cert.ms` 两个**墙钟耗时字段** → 两次运行不可能相同,**这项永远是 false**。我在副本里重跑基线、只把这两个字段剔掉后逐行比:**6 条完全一致** → 续写逻辑正确,是判据错。 +2. **`rec()` 用 `json.loads` 解析传入值**,而 `str(None).lower()`=`none` 不是合法 JSON → 抛异常、整项**静默不进结果文件**,`all_pass` 照样算出来。所以"第七轮说自检已修完"的两项进程测试,实际上是没跑过。 +3. **自检副本只复制 `git ls-files` 里的文件**(`selftest.sh:16`)→ 任何**未跟踪的新文件**在副本里不存在,调用它的项会以 `ModuleNotFoundError` 变成 rc=1,看起来像功能坏了。本轮新加 `ml/common/vram.py` 就踩了:`train_stop`/`train_stopfile`/`apg_resume` 三项同时 rc=1,`git add` 之后才恢复。判据建议:自检开头先 `git ls-files --others --exclude-standard` 非空就报出来(或改用 `git ls-files -o --exclude-standard -t` 一起复制)。 + +### 7.4 本机已改的(都按实测落地,不改判据含义) + +| 位置 | 改动 | 验证 | +|---|---|---| +| `ml/monitor.py` `find_bash()` | 便携版 git 的 `mingw64` 布局要再上一层;再兜 `which('bash')`(排除 System32 的 WSL bash) | 返回 `...\.qoder\bin\git\bin\bash.exe`(bash 5.2.37);网页「开始训练」在本机的拦路石解除 | +| `ml/selftest_proc.py` `alive()` / `wait_pids()` | `tasklist` 用 `text=True, errors='replace'` 并防 `None`;起不来时把最后一次异常带进结果 | `tree_killed`、`survive_parent_exit` 两项实测 true | +| `ml/selftest.sh` | `rec` 解析失败记 false 不再丢项;`gen_resume` 判据剔除 `plan_ms`/`cert.ms`;APG 两项带 `--config` | 重跑第 1 项已变 **true**(「续写:已有 2/6 条 → 逐条一致」) | +| `ml/configs/apg.json` | `batch 128 → 48`,加 `_vram` 记录实测表 | 最坏 13.08 GiB(实测),在 19–20 GB 预算内 | +| `ml/configs/smoke.json` | 补 `apg` 段(`batch=8`) | 自检 APG 档 `vram: 0.33` | +| `ml/common/vram.py`(新)+ `train.py` + `apg/apg_finetune.py` | 每进程硬帽 `VRAM_FRAC=0.78`(启动打印上限);日志每条记录加 `vram` 峰值 | `显存上限:本进程 18.7 GiB(整卡 24.0 × 0.78)`;train `vram: 2.71` | +| `ml/monitor.py` + `ml/monitor.html` | 状态带 `vram_budget_gb`(默认 20,`VRAM_BUDGET_GB` 可改);GPU 显存条按预算算并超线变色;指标卡加「显存峰值」 | headless 加载渲染出的 DOM 里有「显存峰值 / 预算 19–20 GB(整卡 24,桌面占 4–5)」 | + +### 7.5 仍需实现方处理的(我没动) + +- **APG 的 `steps` 与机时**:`batch` 从 128 降到 48,每步看到的任务少 2.7 倍。`steps=3000` 要不要加、加多少是收敛判断,我只有显存实测、没有这个依据。`R2/R4/N-6` 各处按整卡写的显存估算文案也要按 19–20 GB 重写。 +- `R4 复跑`:`feat_dyn` 要重导模型,探针现在会**弹有界面窗口**跑 `viewer_ref`(30 题×≤10 s)与 WebGPU——本机跑之前请知悉会有窗口,别动它。 +- B-2 的几何查询搬 Worker(若本机 R9 仍不过);R9 用真模型才有意义。 + +--- + +## 八、R4 复跑(2026-10-18,`feat_dyn` 新模型 + 本地 ort + WebGPU) + +`bash ml/pipeline.sh r4` 端到端 **rc=0**。这次先把 `webapp/vendor/ort/`(onnxruntime-web 1.20.1,33 MB)**入库**(`.gitignore` 同步移除),不再依赖 npm/CDN——上一轮 `vendor_ort.sh` 的 `npm pack` 失败后探针静默退回 CDN,而 jsDelivr 本机完全不通,四种配置全变成「加载 ort 失败」,一条数字都没有。**这是个真问题**:下载失败时流程不该"看起来跑完了"。 + +### 8.1 R4 判定口径:通过 + +| 配置 | P50 | P95 | P99 | 备注 | +|---|---|---|---|---| +| **wasm·16 线程·proxy(部署口径)** | 7.06 | 8.88 | **12.67** | 本地 ort,`enc_once` + `feat_dyn` 新模型 | +| wasm·4 线程·proxy | 10.25 | 12.48 | 13.22 | | +| wasm·16 线程·无 proxy | 6.83 | 8.28 | 9.53 | | +| **WebGPU** | 18.26 | 22.76 | **27.09** | 首次拿到真数:`hasGpu:true`、adapter `nvidia ampere`、有界面窗口;比 wasm 慢,不用 | + +结论:纯推理 P99 12.67 < 15,**R4 通过**;与修复前(10.22–11.25)同量级,`feat_dyn` 没让主推理变慢(主推理仍只送 1 行)。 + +### 8.2 `viewer_ref`:随机模型的整周期数字(只作参考,但暴露了三件事) + +30 道贴柱题、随机权重、真查看器(有界面窗口)、16 线程 + proxy: + +| 指标 | 值 | 说明 | +|---|---|---| +| `planP50` / `planP99` | 68.5 / **131.2 ms** | R9 线是 45;随机策略几乎每次都认证多条候选 | +| `starve_rate` | **32.7%** | 执行时钟到点队列为空 = 实际丢步 | +| `inferP99` | 58.3 ms | 纯推理探针只有 12.7 → 差额是主线程排队 | +| `lookaheadP99` | **170 ms** | 前瞻(8 行特征逐行编码 + 8 次 gapMatrix) | +| `certFailWhy` | **time 948** / box 346 / cert 19 | 3902 次规划里 70% 的失败是"墙钟到点判不过" | +| `tickGapMax` | **736 ms** | 主线程仍会被一次性占住(安全层在主线程) | + +**三条判读(给实现方,不是结论)**: +1. 前瞻是现在最贵的一环(170 ms P99)。虽然已改成只在冷启动做,但 30 题就是 30 次冷启动,每次都落在 P99 上——R9 的 `planP99` 会被冷启动那几次主导。建议 `r4_probe --viewer` 同时报 `planP99`(含冷启动)与 `planP99Warm`(剔除每题第一次规划),否则这条线测的是"题数"而不是稳态性能。 +2. **`time` 截止占失败原因 70%**:45 ms 预算在随机模型上基本等于"到点判不过 → 刹停"(1019 次刹停 / 3902 次规划)。R9 若"通过",必须同时报 `certFailWhy.time` 占比与 `brakeRate`,否则可能是靠拒绝候选换来的。 +3. `tickGapMax 736 ms` 说明安全层(几何查询)仍在主线程;B-2 的"搬进 Worker"没有做,这条是真模型跑之前要盯的。 + +这些全是随机权重的数,R9 判据本来就规定用训练好的模型测,所以**不据此判 R9 过不过**;`r4.json` 里 `viewer_ref` 已标注"仅参考"。 diff --git a/ml/apg/apg_finetune.py b/ml/apg/apg_finetune.py index 421a3b8..ae20075 100644 --- a/ml/apg/apg_finetune.py +++ b/ml/apg/apg_finetune.py @@ -17,6 +17,7 @@ from ml.model.policy import build, wta_loss from ml.model.meanflow import meanflow_loss from ml.sim.closed_loop import evaluate, tasks_to_tensors, goal_err from ml.common.ckpt import Saver, atomic_save, rng_state, set_rng_state +from ml.common import vram def load_pool(paths): @@ -38,6 +39,7 @@ def main(): cfg = json.load(open(a.config)); C = cfg['apg'] if a.steps: C['steps'] = a.steps dev = a.device; torch.manual_seed(a.seed); random.seed(a.seed) + vram.limit() os.makedirs(a.out, exist_ok=True) ck = torch.load(a.init, map_location=dev) mcfg = ck['cfg'] @@ -147,7 +149,7 @@ def main(): with torch.no_grad(): e, oe = goal_err(kin, q, T, R) rec = {'it': it, 'total': C['steps'], 't': time.time(), 'plans': n_plans, 'err_mm_mean': e.mean().item(), 'reach_frac': ((e < 1) & (oe < 0.5)).float().mean().item(), 'bc': l_bc.item(), - 'gnorm': gn.item(), **stats, 'min': (time.time() - t0) / 60} + 'gnorm': gn.item(), **stats, 'min': (time.time() - t0) / 60, 'vram': vram.peak_gib()} if it % 10 == 0: print(json.dumps(rec), flush=True) log.write(json.dumps(rec) + '\n'); log.flush() if saver.stop() or (a.stop_at and it + 1 >= a.stop_at): diff --git a/ml/common/vram.py b/ml/common/vram.py new file mode 100644 index 0000000..2009601 --- /dev/null +++ b/ml/common/vram.py @@ -0,0 +1,21 @@ +"""显存预算(2026-10-18 本机实测后加)。 +用户定的预算:这台 3090 只有 19–20 GB 能给训练用——Windows + 4K 桌面常驻就占掉 4–5 GB(空载 nvidia-smi 4.4 GB)。 + limit() 给本进程设硬帽(VRAM_FRAC,默认 0.78 ≈ 18.7 GiB)。超限时在自己的反向里早失败, + 而不是把桌面挤到没有显存(整机卡顿、别的应用崩),这也是 APG batch=128 原先 OOM 时把显存顶到 23.6 GB 的原因。 + peak_gib() 记进日志的 vram 字段:网页指标卡与 ml/selftest.sh 都按它核对预算,不用再去猜。 +实测参考(d=192 同结构、1 步即到位):预训练 batch=1024 → 2.76;APG batch=48/plans=150 → 13.08、batch=128 → OOM。""" +import os +import torch + + +def limit(): + if not torch.cuda.is_available(): return False + f = float(os.environ.get('VRAM_FRAC', '0.78')) + tot = torch.cuda.get_device_properties(0).total_memory / 2**30 + torch.cuda.set_per_process_memory_fraction(f) + print('显存上限:本进程 %.1f GiB(整卡 %.1f GiB × %.2f,其余留给桌面)' % (f * tot, tot, f), flush=True) + return True + + +def peak_gib(): + return round(torch.cuda.max_memory_allocated() / 2**30, 2) if torch.cuda.is_available() else None diff --git a/ml/configs/apg.json b/ml/configs/apg.json index 209510d..474f3e3 100644 --- a/ml/configs/apg.json +++ b/ml/configs/apg.json @@ -1,7 +1,8 @@ { "apg": { - "batch": 128, "lr": 1e-4, "steps": 3000, "grad_clip": 1.0, "amp": "bf16", + "batch": 48, "lr": 1e-4, "steps": 3000, "grad_clip": 1.0, "amp": "bf16", "plans": 60, "plans_max": 150, "seg_plans": 10, + "_vram": "batch 由 128 降到 48:2026-10-18 本机实测(d=192 同结构、每进程 19.2 GB 硬帽)batch=128 无论 plans 取 60 还是 150 都 OOM(崩前已分配 17.85 GiB);batch=48/plans=150 峰值 13.08 GiB、plans=60 为 7.67 GiB,加 Windows+4K 桌面常驻 4.4 GB 仍在 19–20 GB 预算内。batch=64/plans=150 要 17.66 GiB(不取)。展开长度 plans 没动——降 plans 会把长任务的绕出段截掉。", "margin_train_mm": 3.0, "w_tgt": 1.0, "w_rot": 0.3, "w_col": 2.0, "w_smooth": 0.02, "w_len": 0.001, "w_bc": 0.5, "cat_weights": {"A": 0.4, "B": 1.0, "C": 1.6, "D": 0.6, "Dr": 0.6}, diff --git a/ml/configs/smoke.json b/ml/configs/smoke.json index 5cc09f2..7fea377 100644 --- a/ml/configs/smoke.json +++ b/ml/configs/smoke.json @@ -31,5 +31,13 @@ "log_every": 10, "patience_evals": 5 }, - "_note": "冒烟专用(bash ml/smoke.sh):只验证流程能跑通,数值无意义" + "apg": { + "batch": 8, "lr": 0.0001, "steps": 10, "grad_clip": 1.0, "amp": "bf16", + "plans": 20, "plans_max": 30, "seg_plans": 5, + "margin_train_mm": 3.0, + "w_tgt": 1.0, "w_rot": 0.3, "w_col": 2.0, "w_smooth": 0.02, "w_len": 0.001, "w_bc": 0.5, + "cat_weights": {"A": 0.4, "B": 1.0, "C": 1.6, "D": 0.6, "Dr": 0.6}, + "ckpt_min": 10, "eval_every": 1000, "eval_tasks": 4 + }, + "_note": "冒烟与自检专用(bash ml/pipeline.sh selftest / smoke):只验证流程能跑通,数值无意义。apg 段必须有:selftest.sh 第 6 项原先不带 --config,走的是正式 apg.json 的 batch=128,本机实测第一次反向就 OOM;改成正式值 48 也要约 13 GiB,自检不必吃这么多。" } \ No newline at end of file diff --git a/ml/monitor.html b/ml/monitor.html index 250221b..04f88bd 100644 --- a/ml/monitor.html +++ b/ml/monitor.html @@ -436,6 +436,7 @@ function renderKpis() { tile('展开内到达比例', pct(r.reach_frac), '误差 < 1 mm 且姿态 < 0.5°', '', last('reach_frac'), COLORS[2]); tile('闭环到达率', pct(e.success) + dlt('success'), `最好 ${pct(best)}`, '', evs('success'), COLORS[2]); tile('碰撞率', pct(e.collision_rate, 2) + dlt('collision_rate', -1), '关安全层', e.collision_rate > 0.03 ? 'warn' : '', evs('collision_rate'), COLORS[3]); + tile('显存峰值', isNum(r.vram) ? `${r.vram.toFixed(2)}GiB` : '—', '预算 19–20 GB(整卡 24,桌面占 4–5)', r.vram > 17 ? 'bad' : r.vram > 14 ? 'warn' : '', last('vram'), COLORS[1]); } else { const sps = r.samples_per_s; tile('总损失', fmt(r.loss, 4), `MF ${fmt(r.mf)} · FK ${fmt(r.fk_cm)} cm`, '', ema(last('loss'), 0.9), COLORS[0]); @@ -443,6 +444,7 @@ function renderKpis() { tile('闭环到达率', pct(e.success) + dlt('success'), evals.length ? `最好 ${pct(best)} · @${e.x.toLocaleString()} 步` : '尚未评估', '', evs('success'), COLORS[2]); tile('碰撞率', pct(e.collision_rate, 2) + dlt('collision_rate', -1), '关安全层,部署另有护栏', e.collision_rate > 0.03 ? 'warn' : '', evs('collision_rate'), COLORS[3]); tile('梯度范数', fmt(r.gnorm), '裁剪阈值 1.0', r.gnorm > 5 ? 'warn' : '', ema(last('gnorm'), 0.9), COLORS[4]); + tile('显存峰值', isNum(r.vram) ? `${r.vram.toFixed(2)}GiB` : '—', '预算 19–20 GB(整卡 24,桌面占 4–5)', r.vram > 17 ? 'bad' : r.vram > 14 ? 'warn' : '', last('vram'), COLORS[1]); } $('kpis').innerHTML = tiles.map(t => t.html).join(''); [...$('kpis').querySelectorAll('canvas')].forEach((cv, i) => spark(cv, tiles[i].sp, tiles[i].color)); @@ -477,7 +479,7 @@ async function poll() { render(); } const P = lastStatus.pipeline, busy = (job && job.running) || (P && P.current); - if (DEMO) { setPill('demo', '示例数据'); if (!$('demobar')) $('pipe').insertAdjacentHTML('beforebegin', `
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function(){if(e=(this.buf[this.pos]&127)>>>0,this.buf[this.pos++]<128||(e=(e|(this.buf[this.pos]&127)<<7)>>>0,this.buf[this.pos++]<128)||(e=(e|(this.buf[this.pos]&127)<<14)>>>0,this.buf[this.pos++]<128)||(e=(e|(this.buf[this.pos]&127)<<21)>>>0,this.buf[this.pos++]<128)||(e=(e|(this.buf[this.pos]&15)<<28)>>>0,this.buf[this.pos++]<128))return e;if((this.pos+=5)>this.len)throw this.pos=this.len,Rt(this,10);return e}}();K.prototype.int32=function(){return this.uint32()|0};K.prototype.sint32=function(){var e=this.uint32();return e>>>1^-(e&1)|0};function eo(){var i=new La(0,0),e=0;if(this.len-this.pos>4){for(;e<4;++e)if(i.lo=(i.lo|(this.buf[this.pos]&127)< >>0,this.buf[this.pos++]<128)return i;if(i.lo=(i.lo|(this.buf[this.pos]&127)<<28)>>>0,i.hi=(i.hi|(this.buf[this.pos]&127)>>4)>>>0,this.buf[this.pos++]<128)return i;e=0}else{for(;e<3;++e){if(this.pos>=this.len)throw Rt(this);if(i.lo=(i.lo|(this.buf[this.pos]&127)< >>0,this.buf[this.pos++]<128)return i}return i.lo=(i.lo|(this.buf[this.pos++]&127)< >>0,i}if(this.len-this.pos>4){for(;e<5;++e)if(i.hi=(i.hi|(this.buf[this.pos]&127)< >>0,this.buf[this.pos++]<128)return i}else for(;e<5;++e){if(this.pos>=this.len)throw Rt(this);if(i.hi=(i.hi|(this.buf[this.pos]&127)< >>0,this.buf[this.pos++]<128)return i}throw Error("invalid varint encoding")}K.prototype.bool=function(){return this.uint32()!==0};function Nr(i,e){return(i[e-4]|i[e-3]<<8|i[e-2]<<16|i[e-1]<<24)>>>0}K.prototype.fixed32=function(){if(this.pos+4>this.len)throw Rt(this,4);return Nr(this.buf,this.pos+=4)};K.prototype.sfixed32=function(){if(this.pos+4>this.len)throw Rt(this,4);return Nr(this.buf,this.pos+=4)|0};function Da(){if(this.pos+8>this.len)throw Rt(this,8);return new La(Nr(this.buf,this.pos+=4),Nr(this.buf,this.pos+=4))}K.prototype.float=function(){if(this.pos+4>this.len)throw Rt(this,4);var e=Ct.float.readFloatLE(this.buf,this.pos);return this.pos+=4,e};K.prototype.double=function(){if(this.pos+8>this.len)throw Rt(this,4);var e=Ct.float.readDoubleLE(this.buf,this.pos);return this.pos+=8,e};K.prototype.bytes=function(){var e=this.uint32(),o=this.pos,t=this.pos+e;if(t>this.len)throw Rt(this,e);if(this.pos+=e,Array.isArray(this.buf))return this.buf.slice(o,t);if(o===t){var r=Ct.Buffer;return r?r.alloc(0):new this.buf.constructor(0)}return this._slice.call(this.buf,o,t)};K.prototype.string=function(){var e=this.bytes();return Uc.read(e,0,e.length)};K.prototype.skip=function(e){if(typeof e=="number"){if(this.pos+e>this.len)throw Rt(this,e);this.pos+=e}else do if(this.pos>=this.len)throw Rt(this);while(this.buf[this.pos++]&128);return this};K.prototype.skipType=function(i){switch(i){case 0:this.skip();break;case 1:this.skip(8);break;case 2:this.skip(this.uint32());break;case 3:for(;(i=this.uint32()&7)!==4;)this.skipType(i);break;case 5:this.skip(4);break;default:throw Error("invalid wire type "+i+" at offset "+this.pos)}return this};K._configure=function(i){ro=i,K.create=$a(),ro._configure();var e=Ct.Long?"toLong":"toNumber";Ct.merge(K.prototype,{int64:function(){return eo.call(this)[e](!1)},uint64:function(){return eo.call(this)[e](!0)},sint64:function(){return eo.call(this).zzDecode()[e](!1)},fixed64:function(){return Da.call(this)[e](!0)},sfixed64:function(){return Da.call(this)[e](!1)}})}});var Ca=tt((Db,Na)=>{"use strict";Na.exports=pe;var Fa=no();(pe.prototype=Object.create(Fa.prototype)).constructor=pe;var Ba=te();function pe(i){Fa.call(this,i)}pe._configure=function(){Ba.Buffer&&(pe.prototype._slice=Ba.Buffer.prototype.slice)};pe.prototype.string=function(){var e=this.uint32();return this.buf.utf8Slice?this.buf.utf8Slice(this.pos,this.pos=Math.min(this.pos+e,this.len)):this.buf.toString("utf-8",this.pos,this.pos=Math.min(this.pos+e,this.len))};pe._configure()});var Ga=tt((Lb,Ra)=>{"use strict";Ra.exports=Je;var oo=te();(Je.prototype=Object.create(oo.EventEmitter.prototype)).constructor=Je;function Je(i,e,o){if(typeof i!="function")throw TypeError("rpcImpl must be a function");oo.EventEmitter.call(this),this.rpcImpl=i,this.requestDelimited=!!e,this.responseDelimited=!!o}Je.prototype.rpcCall=function i(e,o,t,r,n){if(!r)throw TypeError("request must be specified");var s=this;if(!n)return oo.asPromise(i,s,e,o,t,r);if(!s.rpcImpl){setTimeout(function(){n(Error("already ended"))},0);return}try{return s.rpcImpl(e,o[s.requestDelimited?"encodeDelimited":"encode"](r).finish(),function(u,l){if(u)return s.emit("error",u,e),n(u);if(l===null){s.end(!0);return}if(!(l instanceof t))try{l=t[s.responseDelimited?"decodeDelimited":"decode"](l)}catch(f){return s.emit("error",f,e),n(f)}return s.emit("data",l,e),n(null,l)})}catch(a){s.emit("error",a,e),setTimeout(function(){n(a)},0);return}};Je.prototype.end=function(e){return this.rpcImpl&&(e||this.rpcImpl(null,null,null),this.rpcImpl=null,this.emit("end").off()),this}});var Va=tt(Ma=>{"use strict";var zc=Ma;zc.Service=Ga()});var za=tt((kb,Ua)=>{"use strict";Ua.exports={}});var qa=tt(Ha=>{"use strict";var gt=Ha;gt.build="minimal";gt.Writer=to();gt.BufferWriter=Pa();gt.Reader=no();gt.BufferReader=Ca();gt.util=te();gt.rpc=Va();gt.roots=za();gt.configure=Wa;function Wa(){gt.util._configure(),gt.Writer._configure(gt.BufferWriter),gt.Reader._configure(gt.BufferReader)}Wa()});var Xa=tt((Fb,ja)=>{"use strict";ja.exports=qa()});var Le=tt((Nb,Ka)=>{"use strict";var q=Xa(),S=q.Reader,J=q.Writer,h=q.util,p=q.roots.default||(q.roots.default={});p.onnx=function(){var i={};return i.Version=function(){var e={},o=Object.create(e);return o[e[0]="_START_VERSION"]=0,o[e[1]="IR_VERSION_2017_10_10"]=1,o[e[2]="IR_VERSION_2017_10_30"]=2,o[e[3]="IR_VERSION_2017_11_3"]=3,o[e[4]="IR_VERSION_2019_1_22"]=4,o[e[5]="IR_VERSION_2019_3_18"]=5,o[e[6]="IR_VERSION_2019_9_19"]=6,o[e[7]="IR_VERSION_2020_5_8"]=7,o[e[8]="IR_VERSION_2021_7_30"]=8,o[e[9]="IR_VERSION"]=9,o}(),i.AttributeProto=function(){function e(o){if(this.floats=[],this.ints=[],this.strings=[],this.tensors=[],this.graphs=[],this.sparseTensors=[],this.typeProtos=[],o)for(var t=Object.keys(o),r=0;r >>3){case 1:{s.name=t.string();break}case 21:{s.refAttrName=t.string();break}case 13:{s.docString=t.string();break}case 20:{s.type=t.int32();break}case 2:{s.f=t.float();break}case 3:{s.i=t.int64();break}case 4:{s.s=t.bytes();break}case 5:{s.t=p.onnx.TensorProto.decode(t,t.uint32());break}case 6:{s.g=p.onnx.GraphProto.decode(t,t.uint32());break}case 22:{s.sparseTensor=p.onnx.SparseTensorProto.decode(t,t.uint32());break}case 14:{s.tp=p.onnx.TypeProto.decode(t,t.uint32());break}case 7:{if(s.floats&&s.floats.length||(s.floats=[]),(a&7)===2)for(var u=t.uint32()+t.pos;t.pos>>0,t.i.high>>>0).toNumber())),t.s!=null&&(typeof t.s=="string"?h.base64.decode(t.s,r.s=h.newBuffer(h.base64.length(t.s)),0):t.s.length>=0&&(r.s=t.s)),t.t!=null){if(typeof t.t!="object")throw TypeError(".onnx.AttributeProto.t: object expected");r.t=p.onnx.TensorProto.fromObject(t.t)}if(t.g!=null){if(typeof t.g!="object")throw TypeError(".onnx.AttributeProto.g: object expected");r.g=p.onnx.GraphProto.fromObject(t.g)}if(t.sparseTensor!=null){if(typeof t.sparseTensor!="object")throw TypeError(".onnx.AttributeProto.sparseTensor: object expected");r.sparseTensor=p.onnx.SparseTensorProto.fromObject(t.sparseTensor)}if(t.tp!=null){if(typeof t.tp!="object")throw TypeError(".onnx.AttributeProto.tp: object expected");r.tp=p.onnx.TypeProto.fromObject(t.tp)}if(t.floats){if(!Array.isArray(t.floats))throw TypeError(".onnx.AttributeProto.floats: array expected");r.floats=[];for(var n=0;n >>0,t.ints[n].high>>>0).toNumber())}if(t.strings){if(!Array.isArray(t.strings))throw TypeError(".onnx.AttributeProto.strings: array expected");r.strings=[];for(var n=0;n =0&&(r.strings[n]=t.strings[n])}if(t.tensors){if(!Array.isArray(t.tensors))throw TypeError(".onnx.AttributeProto.tensors: array expected");r.tensors=[];for(var n=0;n >>0,t.i.high>>>0).toNumber():t.i),t.s!=null&&t.hasOwnProperty("s")&&(n.s=r.bytes===String?h.base64.encode(t.s,0,t.s.length):r.bytes===Array?Array.prototype.slice.call(t.s):t.s),t.t!=null&&t.hasOwnProperty("t")&&(n.t=p.onnx.TensorProto.toObject(t.t,r)),t.g!=null&&t.hasOwnProperty("g")&&(n.g=p.onnx.GraphProto.toObject(t.g,r)),t.floats&&t.floats.length){n.floats=[];for(var a=0;a >>0,t.ints[a].high>>>0).toNumber():t.ints[a]}if(t.strings&&t.strings.length){n.strings=[];for(var a=0;a >>3){case 1:{s.name=t.string();break}case 2:{s.type=p.onnx.TypeProto.decode(t,t.uint32());break}case 3:{s.docString=t.string();break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.name!=null&&t.hasOwnProperty("name")&&!h.isString(t.name))return"name: string expected";if(t.type!=null&&t.hasOwnProperty("type")){var r=p.onnx.TypeProto.verify(t.type);if(r)return"type."+r}return t.docString!=null&&t.hasOwnProperty("docString")&&!h.isString(t.docString)?"docString: string expected":null},e.fromObject=function(t){if(t instanceof p.onnx.ValueInfoProto)return t;var r=new p.onnx.ValueInfoProto;if(t.name!=null&&(r.name=String(t.name)),t.type!=null){if(typeof t.type!="object")throw TypeError(".onnx.ValueInfoProto.type: object expected");r.type=p.onnx.TypeProto.fromObject(t.type)}return t.docString!=null&&(r.docString=String(t.docString)),r},e.toObject=function(t,r){r||(r={});var n={};return r.defaults&&(n.name="",n.type=null,n.docString=""),t.name!=null&&t.hasOwnProperty("name")&&(n.name=t.name),t.type!=null&&t.hasOwnProperty("type")&&(n.type=p.onnx.TypeProto.toObject(t.type,r)),t.docString!=null&&t.hasOwnProperty("docString")&&(n.docString=t.docString),n},e.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},e.getTypeUrl=function(t){return t===void 0&&(t="type.googleapis.com"),t+"/onnx.ValueInfoProto"},e}(),i.NodeProto=function(){function e(o){if(this.input=[],this.output=[],this.attribute=[],o)for(var t=Object.keys(o),r=0;r >>3){case 1:{s.input&&s.input.length||(s.input=[]),s.input.push(t.string());break}case 2:{s.output&&s.output.length||(s.output=[]),s.output.push(t.string());break}case 3:{s.name=t.string();break}case 4:{s.opType=t.string();break}case 7:{s.domain=t.string();break}case 5:{s.attribute&&s.attribute.length||(s.attribute=[]),s.attribute.push(p.onnx.AttributeProto.decode(t,t.uint32()));break}case 6:{s.docString=t.string();break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.input!=null&&t.hasOwnProperty("input")){if(!Array.isArray(t.input))return"input: array expected";for(var r=0;r >>3){case 1:{s.initialization=p.onnx.GraphProto.decode(t,t.uint32());break}case 2:{s.algorithm=p.onnx.GraphProto.decode(t,t.uint32());break}case 3:{s.initializationBinding&&s.initializationBinding.length||(s.initializationBinding=[]),s.initializationBinding.push(p.onnx.StringStringEntryProto.decode(t,t.uint32()));break}case 4:{s.updateBinding&&s.updateBinding.length||(s.updateBinding=[]),s.updateBinding.push(p.onnx.StringStringEntryProto.decode(t,t.uint32()));break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.initialization!=null&&t.hasOwnProperty("initialization")){var r=p.onnx.GraphProto.verify(t.initialization);if(r)return"initialization."+r}if(t.algorithm!=null&&t.hasOwnProperty("algorithm")){var r=p.onnx.GraphProto.verify(t.algorithm);if(r)return"algorithm."+r}if(t.initializationBinding!=null&&t.hasOwnProperty("initializationBinding")){if(!Array.isArray(t.initializationBinding))return"initializationBinding: array expected";for(var n=0;n >>3){case 1:{s.irVersion=t.int64();break}case 8:{s.opsetImport&&s.opsetImport.length||(s.opsetImport=[]),s.opsetImport.push(p.onnx.OperatorSetIdProto.decode(t,t.uint32()));break}case 2:{s.producerName=t.string();break}case 3:{s.producerVersion=t.string();break}case 4:{s.domain=t.string();break}case 5:{s.modelVersion=t.int64();break}case 6:{s.docString=t.string();break}case 7:{s.graph=p.onnx.GraphProto.decode(t,t.uint32());break}case 14:{s.metadataProps&&s.metadataProps.length||(s.metadataProps=[]),s.metadataProps.push(p.onnx.StringStringEntryProto.decode(t,t.uint32()));break}case 20:{s.trainingInfo&&s.trainingInfo.length||(s.trainingInfo=[]),s.trainingInfo.push(p.onnx.TrainingInfoProto.decode(t,t.uint32()));break}case 25:{s.functions&&s.functions.length||(s.functions=[]),s.functions.push(p.onnx.FunctionProto.decode(t,t.uint32()));break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.irVersion!=null&&t.hasOwnProperty("irVersion")&&!h.isInteger(t.irVersion)&&!(t.irVersion&&h.isInteger(t.irVersion.low)&&h.isInteger(t.irVersion.high)))return"irVersion: integer|Long expected";if(t.opsetImport!=null&&t.hasOwnProperty("opsetImport")){if(!Array.isArray(t.opsetImport))return"opsetImport: array expected";for(var r=0;r >>0,t.irVersion.high>>>0).toNumber())),t.opsetImport){if(!Array.isArray(t.opsetImport))throw TypeError(".onnx.ModelProto.opsetImport: array expected");r.opsetImport=[];for(var n=0;n >>0,t.modelVersion.high>>>0).toNumber())),t.docString!=null&&(r.docString=String(t.docString)),t.graph!=null){if(typeof t.graph!="object")throw TypeError(".onnx.ModelProto.graph: object expected");r.graph=p.onnx.GraphProto.fromObject(t.graph)}if(t.metadataProps){if(!Array.isArray(t.metadataProps))throw TypeError(".onnx.ModelProto.metadataProps: array expected");r.metadataProps=[];for(var n=0;n >>0,t.irVersion.high>>>0).toNumber():t.irVersion),t.producerName!=null&&t.hasOwnProperty("producerName")&&(n.producerName=t.producerName),t.producerVersion!=null&&t.hasOwnProperty("producerVersion")&&(n.producerVersion=t.producerVersion),t.domain!=null&&t.hasOwnProperty("domain")&&(n.domain=t.domain),t.modelVersion!=null&&t.hasOwnProperty("modelVersion")&&(typeof t.modelVersion=="number"?n.modelVersion=r.longs===String?String(t.modelVersion):t.modelVersion:n.modelVersion=r.longs===String?h.Long.prototype.toString.call(t.modelVersion):r.longs===Number?new h.LongBits(t.modelVersion.low>>>0,t.modelVersion.high>>>0).toNumber():t.modelVersion),t.docString!=null&&t.hasOwnProperty("docString")&&(n.docString=t.docString),t.graph!=null&&t.hasOwnProperty("graph")&&(n.graph=p.onnx.GraphProto.toObject(t.graph,r)),t.opsetImport&&t.opsetImport.length){n.opsetImport=[];for(var a=0;a >>3){case 1:{s.key=t.string();break}case 2:{s.value=t.string();break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){return typeof t!="object"||t===null?"object expected":t.key!=null&&t.hasOwnProperty("key")&&!h.isString(t.key)?"key: string expected":t.value!=null&&t.hasOwnProperty("value")&&!h.isString(t.value)?"value: string expected":null},e.fromObject=function(t){if(t instanceof p.onnx.StringStringEntryProto)return t;var r=new p.onnx.StringStringEntryProto;return t.key!=null&&(r.key=String(t.key)),t.value!=null&&(r.value=String(t.value)),r},e.toObject=function(t,r){r||(r={});var n={};return r.defaults&&(n.key="",n.value=""),t.key!=null&&t.hasOwnProperty("key")&&(n.key=t.key),t.value!=null&&t.hasOwnProperty("value")&&(n.value=t.value),n},e.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},e.getTypeUrl=function(t){return t===void 0&&(t="type.googleapis.com"),t+"/onnx.StringStringEntryProto"},e}(),i.TensorAnnotation=function(){function e(o){if(this.quantParameterTensorNames=[],o)for(var t=Object.keys(o),r=0;r >>3){case 1:{s.tensorName=t.string();break}case 2:{s.quantParameterTensorNames&&s.quantParameterTensorNames.length||(s.quantParameterTensorNames=[]),s.quantParameterTensorNames.push(p.onnx.StringStringEntryProto.decode(t,t.uint32()));break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.tensorName!=null&&t.hasOwnProperty("tensorName")&&!h.isString(t.tensorName))return"tensorName: string expected";if(t.quantParameterTensorNames!=null&&t.hasOwnProperty("quantParameterTensorNames")){if(!Array.isArray(t.quantParameterTensorNames))return"quantParameterTensorNames: array expected";for(var r=0;r >>3){case 1:{s.node&&s.node.length||(s.node=[]),s.node.push(p.onnx.NodeProto.decode(t,t.uint32()));break}case 2:{s.name=t.string();break}case 5:{s.initializer&&s.initializer.length||(s.initializer=[]),s.initializer.push(p.onnx.TensorProto.decode(t,t.uint32()));break}case 15:{s.sparseInitializer&&s.sparseInitializer.length||(s.sparseInitializer=[]),s.sparseInitializer.push(p.onnx.SparseTensorProto.decode(t,t.uint32()));break}case 10:{s.docString=t.string();break}case 11:{s.input&&s.input.length||(s.input=[]),s.input.push(p.onnx.ValueInfoProto.decode(t,t.uint32()));break}case 12:{s.output&&s.output.length||(s.output=[]),s.output.push(p.onnx.ValueInfoProto.decode(t,t.uint32()));break}case 13:{s.valueInfo&&s.valueInfo.length||(s.valueInfo=[]),s.valueInfo.push(p.onnx.ValueInfoProto.decode(t,t.uint32()));break}case 14:{s.quantizationAnnotation&&s.quantizationAnnotation.length||(s.quantizationAnnotation=[]),s.quantizationAnnotation.push(p.onnx.TensorAnnotation.decode(t,t.uint32()));break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.node!=null&&t.hasOwnProperty("node")){if(!Array.isArray(t.node))return"node: array expected";for(var r=0;r >>3){case 1:{if(s.dims&&s.dims.length||(s.dims=[]),(a&7)===2)for(var u=t.uint32()+t.pos;t.pos>>0,t.dims[n].high>>>0).toNumber())}if(t.dataType!=null&&(r.dataType=t.dataType|0),t.segment!=null){if(typeof t.segment!="object")throw TypeError(".onnx.TensorProto.segment: object expected");r.segment=p.onnx.TensorProto.Segment.fromObject(t.segment)}if(t.floatData){if(!Array.isArray(t.floatData))throw TypeError(".onnx.TensorProto.floatData: array expected");r.floatData=[];for(var n=0;n =0&&(r.stringData[n]=t.stringData[n])}if(t.int64Data){if(!Array.isArray(t.int64Data))throw TypeError(".onnx.TensorProto.int64Data: array expected");r.int64Data=[];for(var n=0;n >>0,t.int64Data[n].high>>>0).toNumber())}if(t.name!=null&&(r.name=String(t.name)),t.docString!=null&&(r.docString=String(t.docString)),t.rawData!=null&&(typeof t.rawData=="string"?h.base64.decode(t.rawData,r.rawData=h.newBuffer(h.base64.length(t.rawData)),0):t.rawData.length>=0&&(r.rawData=t.rawData)),t.externalData){if(!Array.isArray(t.externalData))throw TypeError(".onnx.TensorProto.externalData: array expected");r.externalData=[];for(var n=0;n >>0,t.uint64Data[n].high>>>0).toNumber(!0))}return r},e.toObject=function(t,r){r||(r={});var 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s={};if(n.dimValue!=null&&n.hasOwnProperty("dimValue")&&(s.value=1,!h.isInteger(n.dimValue)&&!(n.dimValue&&h.isInteger(n.dimValue.low)&&h.isInteger(n.dimValue.high))))return"dimValue: integer|Long expected";if(n.dimParam!=null&&n.hasOwnProperty("dimParam")){if(s.value===1)return"value: multiple values";if(s.value=1,!h.isString(n.dimParam))return"dimParam: string expected"}return n.denotation!=null&&n.hasOwnProperty("denotation")&&!h.isString(n.denotation)?"denotation: string expected":null},o.fromObject=function(n){if(n instanceof p.onnx.TensorShapeProto.Dimension)return n;var s=new p.onnx.TensorShapeProto.Dimension;return n.dimValue!=null&&(h.Long?(s.dimValue=h.Long.fromValue(n.dimValue)).unsigned=!1:typeof n.dimValue=="string"?s.dimValue=parseInt(n.dimValue,10):typeof n.dimValue=="number"?s.dimValue=n.dimValue:typeof n.dimValue=="object"&&(s.dimValue=new 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0&&(n="type.googleapis.com"),n+"/onnx.TensorShapeProto.Dimension"},o}(),e}(),i.TypeProto=function(){function e(t){if(t)for(var r=Object.keys(t),n=0;n >>3){case 1:{a.tensorType=p.onnx.TypeProto.Tensor.decode(r,r.uint32());break}case 4:{a.sequenceType=p.onnx.TypeProto.Sequence.decode(r,r.uint32());break}case 5:{a.mapType=p.onnx.TypeProto.Map.decode(r,r.uint32());break}case 9:{a.optionalType=p.onnx.TypeProto.Optional.decode(r,r.uint32());break}case 8:{a.sparseTensorType=p.onnx.TypeProto.SparseTensor.decode(r,r.uint32());break}case 6:{a.denotation=r.string();break}default:r.skipType(u&7);break}}return a},e.decodeDelimited=function(r){return r instanceof S||(r=new S(r)),this.decode(r,r.uint32())},e.verify=function(r){if(typeof r!="object"||r===null)return"object expected";var n={};if(r.tensorType!=null&&r.hasOwnProperty("tensorType")){n.value=1;{var s=p.onnx.TypeProto.Tensor.verify(r.tensorType);if(s)return"tensorType."+s}}if(r.sequenceType!=null&&r.hasOwnProperty("sequenceType")){if(n.value===1)return"value: multiple values";n.value=1;{var s=p.onnx.TypeProto.Sequence.verify(r.sequenceType);if(s)return"sequenceType."+s}}if(r.mapType!=null&&r.hasOwnProperty("mapType")){if(n.value===1)return"value: multiple values";n.value=1;{var s=p.onnx.TypeProto.Map.verify(r.mapType);if(s)return"mapType."+s}}if(r.optionalType!=null&&r.hasOwnProperty("optionalType")){if(n.value===1)return"value: multiple values";n.value=1;{var s=p.onnx.TypeProto.Optional.verify(r.optionalType);if(s)return"optionalType."+s}}if(r.sparseTensorType!=null&&r.hasOwnProperty("sparseTensorType")){if(n.value===1)return"value: multiple values";n.value=1;{var s=p.onnx.TypeProto.SparseTensor.verify(r.sparseTensorType);if(s)return"sparseTensorType."+s}}return r.denotation!=null&&r.hasOwnProperty("denotation")&&!h.isString(r.denotation)?"denotation: string expected":null},e.fromObject=function(r){if(r instanceof p.onnx.TypeProto)return r;var n=new p.onnx.TypeProto;if(r.tensorType!=null){if(typeof r.tensorType!="object")throw TypeError(".onnx.TypeProto.tensorType: object expected");n.tensorType=p.onnx.TypeProto.Tensor.fromObject(r.tensorType)}if(r.sequenceType!=null){if(typeof r.sequenceType!="object")throw TypeError(".onnx.TypeProto.sequenceType: object expected");n.sequenceType=p.onnx.TypeProto.Sequence.fromObject(r.sequenceType)}if(r.mapType!=null){if(typeof r.mapType!="object")throw TypeError(".onnx.TypeProto.mapType: object expected");n.mapType=p.onnx.TypeProto.Map.fromObject(r.mapType)}if(r.optionalType!=null){if(typeof r.optionalType!="object")throw TypeError(".onnx.TypeProto.optionalType: object expected");n.optionalType=p.onnx.TypeProto.Optional.fromObject(r.optionalType)}if(r.sparseTensorType!=null){if(typeof r.sparseTensorType!="object")throw TypeError(".onnx.TypeProto.sparseTensorType: object 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n.defaults&&(s.denotation=""),r.tensorType!=null&&r.hasOwnProperty("tensorType")&&(s.tensorType=p.onnx.TypeProto.Tensor.toObject(r.tensorType,n),n.oneofs&&(s.value="tensorType")),r.sequenceType!=null&&r.hasOwnProperty("sequenceType")&&(s.sequenceType=p.onnx.TypeProto.Sequence.toObject(r.sequenceType,n),n.oneofs&&(s.value="sequenceType")),r.mapType!=null&&r.hasOwnProperty("mapType")&&(s.mapType=p.onnx.TypeProto.Map.toObject(r.mapType,n),n.oneofs&&(s.value="mapType")),r.denotation!=null&&r.hasOwnProperty("denotation")&&(s.denotation=r.denotation),r.sparseTensorType!=null&&r.hasOwnProperty("sparseTensorType")&&(s.sparseTensorType=p.onnx.TypeProto.SparseTensor.toObject(r.sparseTensorType,n),n.oneofs&&(s.value="sparseTensorType")),r.optionalType!=null&&r.hasOwnProperty("optionalType")&&(s.optionalType=p.onnx.TypeProto.Optional.toObject(r.optionalType,n),n.oneofs&&(s.value="optionalType")),s},e.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},e.getTypeUrl=function(r){return r===void 0&&(r="type.googleapis.com"),r+"/onnx.TypeProto"},e.Tensor=function(){function t(r){if(r)for(var n=Object.keys(r),s=0;s >>3){case 1:{u.elemType=n.int32();break}case 2:{u.shape=p.onnx.TensorShapeProto.decode(n,n.uint32());break}default:n.skipType(l&7);break}}return u},t.decodeDelimited=function(n){return n instanceof S||(n=new S(n)),this.decode(n,n.uint32())},t.verify=function(n){if(typeof n!="object"||n===null)return"object expected";if(n.elemType!=null&&n.hasOwnProperty("elemType")&&!h.isInteger(n.elemType))return"elemType: integer expected";if(n.shape!=null&&n.hasOwnProperty("shape")){var s=p.onnx.TensorShapeProto.verify(n.shape);if(s)return"shape."+s}return null},t.fromObject=function(n){if(n instanceof p.onnx.TypeProto.Tensor)return n;var s=new p.onnx.TypeProto.Tensor;if(n.elemType!=null&&(s.elemType=n.elemType|0),n.shape!=null){if(typeof n.shape!="object")throw TypeError(".onnx.TypeProto.Tensor.shape: object expected");s.shape=p.onnx.TensorShapeProto.fromObject(n.shape)}return s},t.toObject=function(n,s){s||(s={});var a={};return s.defaults&&(a.elemType=0,a.shape=null),n.elemType!=null&&n.hasOwnProperty("elemType")&&(a.elemType=n.elemType),n.shape!=null&&n.hasOwnProperty("shape")&&(a.shape=p.onnx.TensorShapeProto.toObject(n.shape,s)),a},t.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},t.getTypeUrl=function(n){return n===void 0&&(n="type.googleapis.com"),n+"/onnx.TypeProto.Tensor"},t}(),e.Sequence=function(){function t(r){if(r)for(var n=Object.keys(r),s=0;s >>3){case 1:{u.elemType=p.onnx.TypeProto.decode(n,n.uint32());break}default:n.skipType(l&7);break}}return u},t.decodeDelimited=function(n){return n instanceof S||(n=new S(n)),this.decode(n,n.uint32())},t.verify=function(n){if(typeof n!="object"||n===null)return"object expected";if(n.elemType!=null&&n.hasOwnProperty("elemType")){var s=p.onnx.TypeProto.verify(n.elemType);if(s)return"elemType."+s}return null},t.fromObject=function(n){if(n instanceof p.onnx.TypeProto.Sequence)return n;var s=new p.onnx.TypeProto.Sequence;if(n.elemType!=null){if(typeof n.elemType!="object")throw TypeError(".onnx.TypeProto.Sequence.elemType: object expected");s.elemType=p.onnx.TypeProto.fromObject(n.elemType)}return s},t.toObject=function(n,s){s||(s={});var a={};return s.defaults&&(a.elemType=null),n.elemType!=null&&n.hasOwnProperty("elemType")&&(a.elemType=p.onnx.TypeProto.toObject(n.elemType,s)),a},t.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},t.getTypeUrl=function(n){return n===void 0&&(n="type.googleapis.com"),n+"/onnx.TypeProto.Sequence"},t}(),e.Map=function(){function t(r){if(r)for(var n=Object.keys(r),s=0;s >>3){case 1:{u.keyType=n.int32();break}case 2:{u.valueType=p.onnx.TypeProto.decode(n,n.uint32());break}default:n.skipType(l&7);break}}return u},t.decodeDelimited=function(n){return n instanceof S||(n=new S(n)),this.decode(n,n.uint32())},t.verify=function(n){if(typeof n!="object"||n===null)return"object expected";if(n.keyType!=null&&n.hasOwnProperty("keyType")&&!h.isInteger(n.keyType))return"keyType: integer expected";if(n.valueType!=null&&n.hasOwnProperty("valueType")){var s=p.onnx.TypeProto.verify(n.valueType);if(s)return"valueType."+s}return null},t.fromObject=function(n){if(n instanceof p.onnx.TypeProto.Map)return n;var s=new p.onnx.TypeProto.Map;if(n.keyType!=null&&(s.keyType=n.keyType|0),n.valueType!=null){if(typeof n.valueType!="object")throw TypeError(".onnx.TypeProto.Map.valueType: object expected");s.valueType=p.onnx.TypeProto.fromObject(n.valueType)}return s},t.toObject=function(n,s){s||(s={});var a={};return s.defaults&&(a.keyType=0,a.valueType=null),n.keyType!=null&&n.hasOwnProperty("keyType")&&(a.keyType=n.keyType),n.valueType!=null&&n.hasOwnProperty("valueType")&&(a.valueType=p.onnx.TypeProto.toObject(n.valueType,s)),a},t.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},t.getTypeUrl=function(n){return n===void 0&&(n="type.googleapis.com"),n+"/onnx.TypeProto.Map"},t}(),e.Optional=function(){function t(r){if(r)for(var n=Object.keys(r),s=0;s >>3){case 1:{u.elemType=p.onnx.TypeProto.decode(n,n.uint32());break}default:n.skipType(l&7);break}}return u},t.decodeDelimited=function(n){return n instanceof S||(n=new S(n)),this.decode(n,n.uint32())},t.verify=function(n){if(typeof n!="object"||n===null)return"object expected";if(n.elemType!=null&&n.hasOwnProperty("elemType")){var s=p.onnx.TypeProto.verify(n.elemType);if(s)return"elemType."+s}return null},t.fromObject=function(n){if(n instanceof p.onnx.TypeProto.Optional)return n;var s=new p.onnx.TypeProto.Optional;if(n.elemType!=null){if(typeof n.elemType!="object")throw TypeError(".onnx.TypeProto.Optional.elemType: object expected");s.elemType=p.onnx.TypeProto.fromObject(n.elemType)}return s},t.toObject=function(n,s){s||(s={});var a={};return s.defaults&&(a.elemType=null),n.elemType!=null&&n.hasOwnProperty("elemType")&&(a.elemType=p.onnx.TypeProto.toObject(n.elemType,s)),a},t.prototype.toJSON=function(){return this.constructor.toObject(this,q.util.toJSONOptions)},t.getTypeUrl=function(n){return n===void 0&&(n="type.googleapis.com"),n+"/onnx.TypeProto.Optional"},t}(),e.SparseTensor=function(){function t(r){if(r)for(var n=Object.keys(r),s=0;s >>3){case 1:{u.elemType=n.int32();break}case 2:{u.shape=p.onnx.TensorShapeProto.decode(n,n.uint32());break}default:n.skipType(l&7);break}}return u},t.decodeDelimited=function(n){return n instanceof S||(n=new S(n)),this.decode(n,n.uint32())},t.verify=function(n){if(typeof n!="object"||n===null)return"object 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0&&(n="type.googleapis.com"),n+"/onnx.TypeProto.SparseTensor"},t}(),e}(),i.OperatorSetIdProto=function(){function e(o){if(o)for(var t=Object.keys(o),r=0;r >>3){case 1:{s.domain=t.string();break}case 2:{s.version=t.int64();break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){return typeof t!="object"||t===null?"object expected":t.domain!=null&&t.hasOwnProperty("domain")&&!h.isString(t.domain)?"domain: string expected":t.version!=null&&t.hasOwnProperty("version")&&!h.isInteger(t.version)&&!(t.version&&h.isInteger(t.version.low)&&h.isInteger(t.version.high))?"version: integer|Long expected":null},e.fromObject=function(t){if(t instanceof p.onnx.OperatorSetIdProto)return t;var r=new p.onnx.OperatorSetIdProto;return t.domain!=null&&(r.domain=String(t.domain)),t.version!=null&&(h.Long?(r.version=h.Long.fromValue(t.version)).unsigned=!1:typeof 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0&&(t="type.googleapis.com"),t+"/onnx.OperatorSetIdProto"},e}(),i.OperatorStatus=function(){var e={},o=Object.create(e);return o[e[0]="EXPERIMENTAL"]=0,o[e[1]="STABLE"]=1,o}(),i.FunctionProto=function(){function e(o){if(this.input=[],this.output=[],this.attribute=[],this.attributeProto=[],this.node=[],this.opsetImport=[],o)for(var t=Object.keys(o),r=0;r >>3){case 1:{s.name=t.string();break}case 4:{s.input&&s.input.length||(s.input=[]),s.input.push(t.string());break}case 5:{s.output&&s.output.length||(s.output=[]),s.output.push(t.string());break}case 6:{s.attribute&&s.attribute.length||(s.attribute=[]),s.attribute.push(t.string());break}case 11:{s.attributeProto&&s.attributeProto.length||(s.attributeProto=[]),s.attributeProto.push(p.onnx.AttributeProto.decode(t,t.uint32()));break}case 7:{s.node&&s.node.length||(s.node=[]),s.node.push(p.onnx.NodeProto.decode(t,t.uint32()));break}case 8:{s.docString=t.string();break}case 9:{s.opsetImport&&s.opsetImport.length||(s.opsetImport=[]),s.opsetImport.push(p.onnx.OperatorSetIdProto.decode(t,t.uint32()));break}case 10:{s.domain=t.string();break}default:t.skipType(a&7);break}}return s},e.decodeDelimited=function(t){return t instanceof S||(t=new S(t)),this.decode(t,t.uint32())},e.verify=function(t){if(typeof t!="object"||t===null)return"object expected";if(t.name!=null&&t.hasOwnProperty("name")&&!h.isString(t.name))return"name: string expected";if(t.input!=null&&t.hasOwnProperty("input")){if(!Array.isArray(t.input))return"input: array expected";for(var r=0;r {"use strict";$r();Hn();j=Ae(Le());ye();de=class{static arraysEqual(e,o){if(e.length!==o.length)return!1;for(let t=0;t 1&&f>1)return;a[s-u]=Math.max(l,f)}return a}static index(e,o){let t=new Array(o.length);return i.fillIndex(e,o,t),t}static fillIndex(e,o,t){let r=e.length-o.length;for(let n=0;n 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${o[s]} * ${n}`:`index -= ${o[s]} * ${n}`;return`${a}; ${u};`}).join("")} + return ivec3(b, r, c); + } + `}function rp(i){let e=A.computeStrides(i);return` + int getFlattenedIndex(ivec3 coords) { + // reverse y, z order + return coords.x * ${e[0]} + coords.z * ${e[1]} + coords.y; + } +`}var Qc,tp,ss,ls=x(()=>{"use strict";U();X();R();ge();Qc=i=>({name:"Reshape (packed)",inputTypes:[2],inputNames:["A"],cacheHint:`${i}`}),tp=(i,e,o,t)=>{let r=e.dims,n=t,s="";for(let l=0;l<4;l++){let f="";switch(l){case 0:f="outputCoords = rc;";break;case 1:f="outputCoords = ivec3(rc.x, rc.y+1, rc.z);";break;case 2:f="outputCoords = ivec3(rc.x, rc.y, rc.z+1);";break;case 3:f="outputCoords = ivec3(rc.x, rc.y+1, rc.z+1);";break;default:throw new Error}s+=` + ${f} + ${l>0?"if(outputCoords.y < rows && outputCoords.z < cols){":""} + int flattenedIndex = getFlattenedIndex(outputCoords); + + ivec3 inputRC = inputCoordsFromReshapedOutCoords(flattenedIndex); + vec2 innerDims = vec2(float(inputRC.y),float(inputRC.z)); + + result[${l}] = getChannel(getA(inputRC.x, inputRC.y, inputRC.z), innerDims); + + ${l>0?"}":""} + `}let a=D(i.session.backend.glContext.version),u=` + ${ep(r)} + ${rp(n)} + ${Ut()} + + void main() { + ivec3 rc = getOutputCoords(); + + vec4 result = vec4(0.0); + + ivec3 outputCoords; + int rows = ${n[2]}; + int cols = ${n[1]}; + + ${s} + ${a.output} = result; + } + `;return{...o,output:{dims:n,type:e.type,textureType:2},shaderSource:u,hasMain:!0}},ss=(i,e,o)=>{let t=Qc(o);return{...t,get:()=>tp(i,e,t,o)}}});var fo,fs=x(()=>{"use strict";X();R();fo=(i,e)=>{let o=e.shape,t=D(i.session.backend.glContext.version),r=` + const float FLOAT_MAX = 1.70141184e38; + const float FLOAT_MIN = 1.17549435e-38; + + bool isNaN(float val) { + return (val < 1.0 || 0.0 < val || val == 0.0) ? false : true; + } + + highp vec4 encodeAsUint8(highp float v) { + if (isNaN(v)) { + return vec4(255, 255, 255, 255); + } + + highp float av = abs(v); + + if(av < FLOAT_MIN) { + return vec4(0.0, 0.0, 0.0, 0.0); + } else if(v > FLOAT_MAX) { + return vec4(0.0, 0.0, 128.0, 127.0) / 255.0; + } else if(v < -FLOAT_MAX) { + return vec4(0.0, 0.0, 128.0, 255.0) / 255.0; + } + + highp vec4 c = vec4(0,0,0,0); + + highp float e = floor(log2(av)); + highp float m = exp2(fract(log2(av))) - 1.0; + + c[2] = floor(128.0 * m); + m -= c[2] / 128.0; + c[1] = floor(32768.0 * m); + m -= c[1] / 32768.0; + c[0] = floor(8388608.0 * m); + + highp float ebias = e + 127.0; + c[3] = floor(ebias / 2.0); + ebias -= c[3] * 2.0; + c[2] += floor(ebias) * 128.0; + + c[3] += 128.0 * step(0.0, -v); + + return c / 255.0; + } + + void main() { + float value = ${t.texture2D}(X,TexCoords).r; + ${t.output} = encodeAsUint8(value); + }`,n={name:"Uint8Encode",inputTypes:[0],inputNames:["X"],output:{dims:o,type:e.tensor.type,textureType:3},shaderSource:r,hasMain:!0};return i.executeProgram(n,[e.tensor])}});function op(i,e){if(i===1)return"rc";let o="";for(let t=0;t{"use 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+ float scale = getColorAsFloat(${t.texture2D}(Scale, position)); + float mean = getColorAsFloat(${t.texture2D}(Mean, position)); + float variance = getColorAsFloat(${t.texture2D}(Variance, position)); + float b = getColorAsFloat(${t.texture2D}(B, position)); + + return scale * ( (_A(indices) - mean) / sqrt(variance + float(${o.epsilon})) ) + b; + }`;return{...gs,output:{dims:e[0].dims,type:e[0].type,textureType:0},shaderSource:a}},up=i=>{if(!i||i.length!==5)throw new Error("BatchNormalization requires 5 inputs.");let e=i[0],o=i[1],t=i[2],r=i[3],n=i[4];if(e.dims.length<3||o.dims.length!==1||t.dims.length!==1||r.dims.length!==1||n.dims.length!==1)throw new Error("invalid input shape.");if(o.dims[0]!==e.dims[1]||t.dims[0]!==e.dims[1]||r.dims[0]!==e.dims[1]||n.dims[0]!==e.dims[1])throw new Error("invalid input shape.");if(e.type!=="float32"&&e.type!=="float64"||o.type!=="float32"&&o.type!=="float64"||t.type!=="float32"&&t.type!=="float64"||r.type!=="float32"&&r.type!=="float64"||n.type!=="float32"&&n.type!=="float64")throw new Error("invalid input tensor types.")}});var Ur,At,O,rr,zr,Xt=x(()=>{"use strict";Ur=class{constructor(e,o,t,r){this.glContext=e;this.programInfo=o;this.inputTextureLayouts=t;this.outputTextureLayout=r}},At=class{constructor(e){this.context=e}},O=class{constructor(e,o){this.routineBody=e;this.dependencies=o}},rr=class{constructor(e,o,t){this.name=e;t?this.dependencies=t:this.dependencies=[],o&&(this.routineBody=o)}addDependency(e){e&&this.dependencies.push(e)}},zr=class{static returnOrderedNodes(e){if(!e||e.length===0)return[];if(e.length===1)return e;let o=new Set,t=new Set,r=new Array;return this.createOrderedNodes(e,o,t,r),r}static createOrderedNodes(e,o,t,r){for(let n=0;n 0)for(let s=0;s b); + } + vec4 ${i}(vec4 v1, vec4 v2) { + return vec4( v1.r > v2.r , + v1.g > v2.g, + v1.b > v2.b, + v1.a > v2.a ); + } + `,name:i,type:0}}function bp(){let i="less_";return{body:` + float ${i}(float a, float b) { + return float(a < b); + } + vec4 ${i}(vec4 v1, vec4 v2) { + return vec4( v1.r < v2.r , + v1.g < v2.g, + v1.b < v2.b, + v1.a < v2.a ); + } + `,name:i,type:0}}function yp(){let i="and_";return{body:` + float ${i}(float a, float b) { + return float( bool(a) && bool(b) ); + } + vec4 ${i}(vec4 v1, vec4 v2) { + bvec4 b1 = bvec4(v1); + bvec4 b2 = bvec4(v2); + return vec4( b1.r && b2.r , + b1.g && b2.g, + b1.b && b2.b, + b1.a && b2.a ); + } + `,name:i,type:0}}function gp(){let i="or_";return{body:` + float ${i}(float a, float b) { + return float( bool(a) || bool(b) ); + } + vec4 ${i}(vec4 v1, vec4 v2) { + bvec4 b1 = bvec4(v1); + bvec4 b2 = bvec4(v2); + return vec4( b1.r || b2.r , + b1.g || b2.g, + b1.b || b2.b, + b1.a || b2.a ); + } + `,name:i,type:0}}function xp(){let i="xor_";return{body:` + float ${i}(float a, float b) { + return float( bool(a) ^^ bool(b) ); 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+ }`}let _=d.length,w=d[d.length-1];T+=` + return getChannel( + getX${_}(${Wr(c,m,w)}), + vec2(${Wr(y,m,w)}));`;let v=D(i.session.backend.glContext.version),L=` + ${l} + float getValue(${c.map(B=>"int "+B)}) { + ${T} + } + + void main() { + ${u} coords = getOutputCoords(); + int lastDim = coords.${c[s-1]}; + coords.${c[s-1]} = coords.${c[s-2]}; + coords.${c[s-2]} = lastDim; + + vec4 result = vec4(getValue(${a}), 0., 0., 0.); + + ${a[s-1]} = ${a[s-1]} + 1; + if (${a[s-1]} < ${n[s-1]}) { + result.g = getValue(${a}); + } + + ${a[s-2]} = ${a[s-2]} + 1; + if (${a[s-2]} < ${n[s-2]}) { + result.a = getValue(${a}); + } + + ${a[s-1]} = ${a[s-1]} - 1; + if (${a[s-2]} < ${n[s-2]} && + ${a[s-1]} < ${n[s-1]}) { + result.b = getValue(${a}); + } + ${v.output} = result; + } + `;return{...e,output:{dims:n,type:o[0].type,textureType:2},shaderSource:L,hasMain:!0}},Rs=(i,e,o)=>{let t=Op(e.length,o.cacheKey);return{...t,get:()=>Ap(i,t,e,o.axis)}},Wr=(i,e,o)=>{let t=i.indexOf(e);return i.map((n,s)=>s===t?`${n} - ${o}`:n).join()}});var Ms,Pp,Ep,Dp,Vs,Lp,$p,kp,Us,Bp,zs=x(()=>{"use strict";at();R();Gs();Ms=(i,e,o)=>(Bp(e),i.session.pack&&e[0].dims.length>1?[i.run(Rs(i,e,o),e)]:[i.run(Dp(i,e,o),e)]),Pp=(i,e)=>({name:"Concat",inputNames:Array.from({length:i},(o,t)=>`X${t}`),inputTypes:Array(i).fill(0),cacheHint:e}),Ep=(i,e,o,t)=>{let r=o[0].dims.slice();if(t>=r.length||t<-1*r.length)throw new Error("axis specified for concat doesn't match input dimensionality");t<0&&(t=r.length+t);let n=r.slice(0);for(let m=1;m {let t=Pp(e.length,o.cacheKey);return{...t,get:()=>Ep(i,t,e,o.axis)}},Vs=i=>`int getTextureWhereDataResides(int index) { + ${i.map((o,t)=>`if(index<${o}) {return ${t};} +`).join("")} + }`,Lp=i=>Vs(i),$p=(i,e)=>{let o=[`float fetchDataFromCorrectTexture(int textureIndex, int indices[${e}]) {`];for(let t=0;t{let e=["int getSizeInConcatAxisValueFromIndex(int index) {"];for(let o=0;o F({axis:i.attributes.getInt("axis")}),Bp=i=>{if(!i||i.length<1)throw new Error("too few inputs");let e=i[0].type,o=i[0].dims.length;if(e==="string")throw new Error("string tensor is not supported yet");for(let t of i){if(t.type!==e)throw new Error("input tensors should be one type");if(t.dims.length!==o)throw new Error("input tensors should have the same shape")}}});function Fp(){return Et("abs")}function Np(){return Et("acos")}function Cp(){return Et("asin")}function Rp(){return Et("atan")}function Gp(){return Et("ceil")}function Mp(){return Et("cos")}function Vp(i){let e="elu";return{body:` + const float alpha = float(${i}); + + float ${e}_(float a) { + return a >= 0.0 ? a: (exp(a) - 1.0) * alpha; + } + vec4 ${e}_(vec4 v) { + return vec4(${e}_(v.x), ${e}_(v.y), ${e}_(v.z), ${e}_(v.w)); + } + `,name:e,type:0}}function Up(){return Et("exp")}function zp(){return Et("floor")}function ho(i,e){let o="clip";return{body:` + const float min = float(${i}); + const float max = float(${e}); + + float ${o}_(float a) { + return clamp(a, min, max); + } + vec4 ${o}_(vec4 v) { + return clamp(v, min, max); + } + `,name:o,type:0}}function Wp(){let i="indentity";return{body:` + float ${i}_(float a) { + return a; + } + vec4 ${i}_(vec4 v) { + return v; + } + `,name:i,type:0}}function Hp(i){let e="leakyRelu";return{body:` + const float alpha = float(${i}); + + float ${e}_(float a) { + return a < 0.0 ? a * alpha : a; + } + vec4 ${e}_(vec4 v) { + return vec4(${e}_(v.x), ${e}_(v.y), ${e}_(v.z), ${e}_(v.w)); + } + `,name:e,type:0}}function qp(){return Et("log")}function jp(){let i="neg";return{body:` + float ${i}_(float a) { + return -a; + } + vec4 ${i}_(vec4 v) { + return -v; + } + `,name:i,type:0}}function Xp(){let i="not";return{body:` + float ${i}_(float a) { + return float( ! bool(a) ); + } + bool ${i}_(bool a) { + return !a; + } + vec4 ${i}_(vec4 v) { + return vec4(!bool(v.x), !bool(v.y), !bool(v.z), !bool(v.w)); + } + bvec4 ${i}_(bvec4 v) { + return bvec4(!v.x, !v.y, !v.z, !v.w); + } + `,name:i,type:0}}function Kp(){return Et("sin")}function mo(){let i="relu";return{body:` + float ${i}_(float a) { + return max( a, 0.0 ); + } + vec4 ${i}_(vec4 v) { + return max( v, 0.0 ); + } + `,name:i,type:0}}function bo(){let i="sigmoid";return{body:` + float ${i}_(float a) { + return 1.0 / (1.0 + exp(-a)); + } + vec4 ${i}_(vec4 v) { + return 1.0 / (1.0 + exp(-v)); + } + `,name:i,type:0}}function Jp(){return Et("sqrt")}function Zp(){return Et("tan")}function Yp(){let i="tanh";return{body:` + float ${i}_(float a) { + a = clamp(a, -10., 10.); + a = exp(2.*a); + return (a - 1.) / (a + 1.); + } + vec4 ${i}_(vec4 v) { + v = clamp(v, -10., 10.); + v = exp(2.*v); + return (v - 1.) / (v + 1.); + } + `,name:i,type:0}}function Et(i){return{body:` + float ${i}_(float a) { + return ${i}(a); + } + vec4 ${i}_(vec4 v) { + return ${i}(v); + } + `,name:i,type:0}}var Qp,Z,Ws,Hs,qs,js,yo,Xs,Ks,td,Js,Zs,Ys,Qs,tu,eu,go,ru,nu,ou,iu,au,su,uu,lu,fu,cu,pu,xo=x(()=>{"use strict";at();U();Xt();X();R();Qp=(i,e,o,t)=>{let r=i.session.pack?2:0,n=D(i.session.backend.glContext.version);return{...e,output:{dims:o.dims,type:o.type,textureType:r},shaderSource:` + ${t.body} + void main() { + vec4 v = ${n.texture2D}(A, TexCoords); + v = ${t.name}_(v); + ${n.output} = v; + } + `,hasMain:!0}},Z=(i,e,o,t)=>{let r=i.session.pack?2:0,n={name:o.name,inputTypes:[r],inputNames:["A"],cacheHint:t};return{...n,get:()=>Qp(i,n,e,o)}},Ws=(i,e)=>[i.run(Z(i,e[0],Fp()),e)],Hs=(i,e)=>[i.run(Z(i,e[0],Np()),e)],qs=(i,e)=>[i.run(Z(i,e[0],Cp()),e)],js=(i,e)=>[i.run(Z(i,e[0],Rp()),e)],yo=(i,e,o)=>[i.run(Z(i,e[0],ho(o.min,o.max),o.cacheKey),e)],Xs=i=>F({min:i.attributes.getFloat("min",me),max:i.attributes.getFloat("max",be)}),Ks=(i,e)=>{let o=td(i,e);return yo(i,[e[0]],o)},td=(i,e)=>{if(e.length>=3&&(!i.session.isInitializer(e[1].dataId)||!i.session.isInitializer(e[2].dataId)))throw new Error("dynamic clip attributes are not allowed");let o=e.length>=3?e[1].numberData[0]:me,t=e.length>=3?e[2].numberData[0]:be;return F({min:o,max:t})},Js=(i,e)=>[i.run(Z(i,e[0],Gp()),e)],Zs=(i,e)=>[i.run(Z(i,e[0],Mp()),e)],Ys=(i,e,o)=>[i.run(Z(i,e[0],Vp(o.alpha),o.cacheKey),e)],Qs=i=>F({alpha:i.attributes.getFloat("alpha",1)}),tu=(i,e)=>[i.run(Z(i,e[0],Up()),e)],eu=(i,e)=>[i.run(Z(i,e[0],zp()),e)],go=(i,e)=>[i.run(Z(i,e[0],Wp()),e)],ru=(i,e,o)=>[i.run(Z(i,e[0],Hp(o.alpha),o.cacheKey),e)],nu=i=>F({alpha:i.attributes.getFloat("alpha",.01)}),ou=(i,e)=>[i.run(Z(i,e[0],qp()),e)],iu=(i,e)=>[i.run(Z(i,e[0],jp()),e)],au=(i,e)=>[i.run(Z(i,e[0],Xp()),e)],su=(i,e)=>[i.run(Z(i,e[0],mo()),e)],uu=(i,e)=>[i.run(Z(i,e[0],bo()),e)],lu=(i,e)=>[i.run(Z(i,e[0],Kp()),e)],fu=(i,e)=>[i.run(Z(i,e[0],Jp()),e)],cu=(i,e)=>[i.run(Z(i,e[0],Zp()),e)],pu=(i,e)=>[i.run(Z(i,e[0],Yp()),e)]});function zt(i){let e;switch(i.activation){case"Relu":e=mo();break;case"Sigmoid":e=bo();break;case"Clip":e=ho(i.clipMin,i.clipMax);break;default:return{activationFunction:"",applyActivation:""}}let o=e.name,t=e.body,r=`value = ${o}_(value);`;return{activationFunction:t,applyActivation:r}}var Ne,xe=x(()=>{"use strict";U();xo();Ne=i=>{let e=i.getString("activation","");if(e==="Clip"){let[o,t]=i.getFloats("activation_params",[me,be]);return{activation:e,clipMax:t,clipMin:o,activationCacheKey:`${e}:${o},${t}`}}return{activation:e,activationCacheKey:e}}});var rd,nd,du,hu=x(()=>{"use strict";It();X();R();Hr();xe();rd=(i,e)=>({name:"GroupedConv",inputNames:i?["X","W","Bias"]:["X","W"],inputTypes:i?[0,0,0]:[0,0],cacheHint:e}),nd=(i,e,o,t)=>{let n=e.length>2?"value += getBias(output_channel);":"",s=e[0].dims.slice(),a=e[1].dims.slice(),u=a[0]/t.group;z.verbose("GroupedConv",`autpPad:${t.autoPad}, dilations:${t.dilations}, group:${t.group}, kernelShape:${t.kernelShape}, pads:${t.pads}, strides:${t.strides}`);let l=Ce(s,a,t.dilations,t.pads,t.strides),f=D(i.session.backend.glContext.version),{activationFunction:c,applyActivation:d}=zt(t),m=` + const ivec2 strides = ivec2(${t.strides[0]}, ${t.strides[1]}); + const ivec2 pads = ivec2(${t.pads[0]}, ${t.pads[1]}); + ${c} + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords.x; + int output_channel = coords.y; + ivec2 xRCCorner = coords.zw * strides - pads; + int group_id = output_channel / ${u}; + + float value = 0.0; + for (int wInChannel = 0; wInChannel < ${a[1]}; wInChannel++) { + int input_channel = group_id * ${a[1]} + wInChannel; + for (int wHeight = 0; wHeight < ${a[2]}; wHeight++) { + int xHeight = xRCCorner.x + wHeight * ${t.dilations[0]}; + + if (xHeight < 0 || xHeight >= ${s[2]}) { + continue; + } + + for (int wWidth = 0; wWidth < ${a[3]}; wWidth++) { + int xWidth = xRCCorner.y + wWidth * ${t.dilations[1]}; + if (xWidth < 0 || xWidth >= ${s[3]}) { + continue; + } + + float xVal = getX(batch, input_channel, xWidth, xHeight); + float wVal = getW(output_channel, wInChannel, wWidth, wHeight); + value += xVal*wVal; + } + } + } + ${n} + ${d} + ${f.output} = vec4(value, .0, .0, .0); + } +`;return{...o,output:{dims:l,type:e[0].type,textureType:0},shaderSource:m,hasMain:!0}},du=(i,e,o)=>{let t=rd(e.length>2,o.cacheKey);return{...t,get:()=>nd(i,e,t,o)}}});var od,id,mu,bu=x(()=>{"use strict";X();R();ge();od=i=>({name:"Im2Col (packed)",inputNames:["A"],inputTypes:[2],cacheHint:i}),id=(i,e,o,t,r,n)=>{let s=o.dims,a=t.dims,u=2,l=3,f=r.length,c=[a[1]*a[2]*a[3],r[2]*r[3]],d=a[2]*a[3],m=Ut(),y=D(i.session.backend.glContext.version),g="";for(let _=0;_<=1;_++)for(let w=0;w<=1;w++)g+=` + blockIndex = rc.x + ${w}; + pos = rc.y + ${_}; + + if(blockIndex < ${c[1]} && pos < ${c[0]}) { + offsetY = int(blockIndex / (${r[f-1]})) * ${n.strides[0]} - + ${n.pads[0]}; + d0 = offsetY + ${n.dilations[0]} * (imod(pos, ${d}) / ${a[2]}); + + if(d0 < ${s[u]} && d0 >= 0) { + offsetX = imod(blockIndex, ${r[f-1]}) * ${n.strides[1]} - + ${n.pads[1]}; + d1 = offsetX + ${n.dilations[1]} * imod(imod(pos, ${d}), ${a[2]}); + + if(d1 < ${s[l]} && d1 >= 0) { + + ch = int(float(pos)/ ${d}.); + innerDims = vec2(d0, d1); + result[${_*2+w}] = getChannel( + getA(0, ch, int(innerDims.x), + int(innerDims.y)), innerDims); + } + } + } + + `;let T=` + ${m} + + void main() { + ivec2 rc = getOutputCoords(); + vec4 result = vec4(0.0); + int blockIndex, pos, offsetY, d0, offsetX, d1, ch; + vec2 innerDims; + ${g} + ${y.output} = result; + } + `;return{...e,output:{dims:c,type:o.type,textureType:2},shaderSource:T,hasMain:!0}},mu=(i,e,o,t,r)=>{let n=od(r.cacheKey);return{...n,get:()=>id(i,n,e,o,t,r)}}});function sd(i,e,o){let t=e[0].dims,r=e[1].dims,n=dt.calcShape(t,r,!0);if(!n)throw new Error("Can't use matmul on the given tensors");let s=ht(n.length),a=Gt(),{activationFunction:u,applyActivation:l}=zt(o),f=e.length>2,c=f?"value += getBiasForMatmul();":"",d=f?`${wo(s,a,e[2].dims,n,!1)}`:"",m=n.length,y=t.length,g=r.length,T=t[t.length-1],_=` + ${u} + ${d} + float process(int indices[${m}]) { + int a[${y}]; + int b[${g}]; + bcastMatmulIndices_A(indices, a); + bcastMatmulIndices_B(indices, b); + + float value; + for (int k=0; k<${T}; ++k) { + a[${y-1}] = k; + b[${g-2}] = k; + value += _A(a) * _B(b); + } + ${c} + ${l} + return value; + }`;return{...i,output:{dims:n,type:e[0].type,textureType:0},shaderSource:_}}function To(i,e){let o=ad(i.length>2,e.activationCacheKey);return{...o,get:()=>sd(o,i,e)}}function wo(i,e,o,t,r){let n="",s=o.length,a=t.length,u=a-s;a<2&&s>0?n="coords":n=o.map((g,T)=>`coords.${e[T+u]}`).join(", ");let f=dt.getBroadcastDims(o,t).map(g=>`coords.${e[g+u]} = 0;`).join(` +`),d=A.size(o)===1,m="vec4(outputValue.xx, outputValue.yy)";return d&&(m="vec4(outputValue.x)"),r?` +vec4 getBiasForMatmul() { + ${i} coords = getOutputCoords(); + ${f} + vec4 outputValue = getBias(${n}); + return ${m}; +}`:` +float getBiasForMatmul() { + ${i} coords = getOutputCoords(); + ${f} + return getBias(coords.x); +}`}var yu,gu,ad,ud,qr=x(()=>{"use strict";U();R();Vt();xe();vo();yu=(i,e,o)=>(ud(e),i.session.pack?[i.run(jr(i,e,o),e)]:[i.run(To(e,o),e)]),gu=i=>Ne(i.attributes),ad=(i,e)=>({name:"MatMul",inputNames:i?["A","B","Bias"]:["A","B"],inputTypes:i?[0,0,0]:[0,0],cacheHint:e});ud=i=>{if(!i||i.length!==2)throw new Error("MatMul requires 2 inputs.");if(i[0].dims[i[0].dims.length-1]!==i[1].dims[i[1].dims.length-2])throw new Error("shared dimension does not match.");if(i[0].type!=="float32"&&i[0].type!=="float64"||i[1].type!=="float32"&&i[1].type!=="float64")throw new Error("inputs should be float type");if(i[0].type!==i[1].type)throw new Error("inputs types should match")}});function cd(i,e,o,t){let r=[],n=[],s=o[0].dims,a=o[1].dims,u=s.length,l=a.length,f=t.length,c=f-u,d=f-l;r=s.map((v,L)=>`coords.${e[L+c]}`),r[u-1]="i*2",r.join(", "),n=a.map((v,L)=>`coords.${e[L+d]}`),n[l-2]="i*2",n.join(", ");let m=dt.getBroadcastDims(s,t),y=dt.getBroadcastDims(a,t),g=m.map(v=>`coords.${e[v+c]} = 0;`).join(` +`),T=y.map(v=>`coords.${e[v+d]} = 0;`).join(` +`),_=`int lastDim = coords.${e[f-1]}; + coords.${e[f-1]} = coords.${e[f-2]}; + coords.${e[f-2]} = lastDim;`;return` +vec4 getAAtOutCoordsMatmul(int i) { + ${i} coords = getOutputCoords(); + ${_} + ${g} + vec4 outputValue = getA(${r}); + return outputValue; +} + +vec4 getBAtOutCoordsMatmul(int i) { + ${i} coords = getOutputCoords(); + ${_} + ${T} + vec4 outputValue = getB(${n}); + return outputValue; +}`}function pd(i,e){let o="";for(let t=0;t {"use strict";U();X();R();Vt();xe();qr();ld=(i,e)=>({name:"MatMul (packed)",inputNames:i?["A","B","Bias"]:["A","B"],inputTypes:i?[2,2,2]:[2,2],cacheHint:e}),fd=(i,e,o,t)=>{let r=o.length>2,n=r?"value += getBiasForMatmul();":"",s=o[0].dims,a=o[1].dims,u=dt.calcShape(s,a,!0),l=!A.areEqual(o[0].dims,o[1].dims);if(!u)throw new Error("Can't use matmul on the given tensors");let f=s[s.length-1],c=Math.ceil(f/2),d=s.length,m=a.length,y=D(i.session.backend.glContext.version),g=ht(u.length),T=u.length,_=Gt(),{activationFunction:w,applyActivation:v}=zt(t),L=r?`${wo(g,_,o[2].dims,u,!0)}`:"",B=l?`${cd(g,_,o,u)}`:"",Q=l?"getAAtOutCoordsMatmul(i)":`getA(${pd(_,d)})`,pt=l?"getBAtOutCoordsMatmul(i)":`getB(${dd(_,m)})`,Ht=l?"":`${g} rc = + getOutputCoords(); int lastDim = rc.${_[T-1]}; rc.${_[T-1]} = + rc.${_[T-2]}; rc.${_[T-2]} = lastDim; + `,wt=` + ${B} + ${L} + ${w} + void main() { + ${Ht} + + vec4 value = vec4(0); + for (int i = 0; i < ${c}; i++) { + vec4 a = ${Q}; + vec4 b = ${pt}; + + value += (a.rrbb * b.rgrg); + value += (a.ggaa * b.baba); + } + ${n} + ${v} + ${y.output} = value; + }`;return{...e,output:{dims:u,type:o[0].type,textureType:2},shaderSource:wt,hasMain:!0}},jr=(i,e,o)=>{let t=ld(e.length>2,o.activationCacheKey);return{...t,get:()=>fd(i,t,e,o)}}});var xu,Tu=x(()=>{"use strict";Hr();bu();vo();xu=(i,e,o)=>{let t=e[0].dims,r=e[1].dims,n=Ce(t,r,o.dilations,o.pads,o.strides),s=i.run(mu(i,e[0],e[1],n,o),[e[0]]),a=i.reshapePacked(e[1],[r[0],r[1]*r[2]*r[3]]),u=e.length===3?[a,s,e[2]]:[a,s],l=i.run(jr(i,u,o),u);return i.reshapePacked(l,n)}});var hd,md,wu,Io,_o=x(()=>{"use strict";R();hd=i=>({name:"Im2Col",inputNames:["X"],inputTypes:[0],cacheHint:i}),md=(i,e,o,t,r,n)=>{let s=o.dims,a=t.dims,u=r.length,l=Io(s,a,r,4),f=` + const int XC = ${s[1]}; + const int XH = ${s[2]}; + const int XW = ${s[3]}; + const int KH = ${n.kernelShape[0]}; + const int KW = ${n.kernelShape[1]}; + const int dilationH = ${n.dilations[0]}; + const int dilationW = ${n.dilations[1]}; + const int strideH = ${n.strides[0]}; + const int strideW = ${n.strides[1]}; + const int padH = ${n.pads[0]}; + const int padW = ${n.pads[1]}; + const int KHKW = KH*KW; + const int XCKHKW = XC * KHKW; + const int outputChannels = 4; + vec4 process(int indices[${u}]) { + int b = indices[0]; // batch size + int oh = indices[1] * strideH - padH; //output height + int ow = indices[2] * strideW - padW; //output width + int p = indices[3] * outputChannels; //patch + vec4 value = vec4(0.0); + for(int i=0; i < outputChannels; ++i) { + if(p < XCKHKW) { + int patchC = p / KHKW; + int patchH = (p - patchC*KHKW) / KW; + int patchW = (p - patchC*KHKW) - patchH * KW; + int xh2 = oh + patchH * dilationH; + int xw2 = ow + patchW * dilationW; + int x[${s.length}]; + x[0] = b; + x[1] = patchC; + x[2] = xh2; + x[3] = xw2; + if(xh2 >= 0 && + xh2 < XH && + xw2 >= 0 && + xw2 < XW) { + value[i] = _X(x); + } + } + ++p; + } + return value; + } + `;return{...e,output:{dims:l,type:o.type,textureType:4},shaderSource:f}},wu=(i,e,o,t,r)=>{let n=hd(r.cacheKey);return{...n,get:()=>md(i,n,e,o,t,r)}},Io=(i,e,o,t=4)=>[o[0],o[2],o[3],Math.ceil(i[1]*e[2]*e[3]/t)]});var bd,yd,vu,Iu=x(()=>{"use strict";U();X();R();xe();_o();bd=(i,e)=>({name:"ConvDotProduct",inputNames:i?["Im2Col","K","B"]:["Im2Col","K"],inputTypes:i?[0,4,0]:[0,4],cacheKey:e.activationCacheKey}),yd=(i,e,o,t,r)=>{let n=o[0].dims,s=o[1].dims,a=[s[0],Math.ceil(n[1]*s[2]*s[3]/4)],u=Io(n,s,t),[l,f]=i.calculateTextureWidthAndHeight(a,4),c=A.computeStrides(u),[d,m]=i.calculateTextureWidthAndHeight(u,4),y=t.length,g=o.length<3?"0.0":"_B(b)",T=Math.ceil(n[1]*s[2]*s[3]/4),{activationFunction:_,applyActivation:w}=zt(r),v=D(i.session.backend.glContext.version),L=` +${_} +float process(int indices[${y}]) { + int b[1]; + b[0] = indices[1]; + int im2col[4]; + im2col[0] = indices[0]; + im2col[1] = indices[2]; + im2col[2] = indices[3]; + int im2colOffset = im2col[0] * ${c[0]} + im2col[1] * ${c[1]} + im2col[2] * ${c[2]}; + int kernelOffset = indices[1] * ${a[1]}; + float value = ${g}; + for (int i = 0; i < ${T}; ++i) { + vec2 im2colCoords = offsetToCoords(im2colOffset, ${d}, ${m}); + vec2 kernelCoords = offsetToCoords(kernelOffset, ${l}, ${f}); + value += dot(${v.texture2D}(Im2Col, im2colCoords), ${v.texture2D}(K, kernelCoords)); + ++im2colOffset; + ++kernelOffset; + } + ${w} + return value; +}`;return{...e,output:{dims:t,type:o[0].type,textureType:0},shaderSource:L}},vu=(i,e,o,t)=>{let r=bd(e.length>2,t);return{...r,get:()=>yd(i,r,e,o,t)}}});var Ce,So,gd,xd,Td,wd,Oo,vd,Hr=x(()=>{"use strict";at();U();hu();Tu();Iu();xe();_o();qr();Ce=(i,e,o,t,r)=>{let n=i[0],s=i.slice(2),a=s.length,u=e[0],f=e.slice(2).map((y,g)=>y+(y-1)*(o[g]-1)),d=s.map((y,g)=>y+t[g]+t[g+a]).map((y,g)=>Math.floor((y-f[g]+r[g])/r[g]));return[n,u].concat(...d)},So=(i,e,o)=>(vd(e,o),gd(i,e,o)),gd=(i,e,o)=>{let t=wd(o,e),r=i.session.pack,n=t.kernelShape[0]===1&&t.kernelShape[1]===1;return t.group>1?[i.run(du(i,e,t),e)]:n&&r?[xd(i,e,t)]:r&&e[0].dims.length===4&&e[0].dims[0]===1&&!n?[xu(i,e,t)]:[Td(i,e,t)]},xd=(i,e,o)=>{let t=e[0].dims,r=e[1].dims,n=Ce(t,r,o.dilations,o.pads,o.strides),s=i.reshapeUnpacked(e[0],[t[1],t[2]*t[3]]),a=i.reshapeUnpacked(e[1],[r[0],r[1]]),u=e.length>2?[a,s,e[2]]:[a,s],l=i.run(To(u,o),u);return i.reshapeUnpacked(l,n)},Td=(i,e,o)=>{let t=e[0].dims,r=e[1].dims,n=Ce(t,r,o.dilations,o.pads,o.strides),s=i.run(wu(i,e[0],e[1],n,o),[e[0]]),a=e.length===3?[s,e[1],e[2]]:[s,e[1]];return i.run(vu(i,e,n,o),a)},wd=(i,e)=>{let o=i.kernelShape.slice();if(i.kernelShape.length===0)for(let n=2;n {let e=i.attributes,o=Ne(e),t=e.getString("auto_pad","NOTSET"),r=e.getInts("dilations",[1,1]),n=e.getInt("group",1),s=e.getInts("kernel_shape",[]),a=e.getInts("pads",[0,0,0,0]),u=e.getInts("strides",[1,1]);return F({autoPad:t,dilations:r,group:n,kernelShape:s,pads:a,strides:u,...o})},vd=(i,e)=>{if(!i||i.length!==2&&i.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(i[0].dims.length!==4||i[1].dims.length!==4)throw new Error("currently only support 2-dimensional conv");let o=i[0].dims[1],t=i[1].dims[1]*e.group;if(o!==t)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");if(i.length===3&&(i[2].dims.length!==1||i[1].dims[0]!==i[2].dims[0]))throw new Error("invalid bias");let r=i[0].dims.length-2;if(e.dilations.length!==r)throw new Error(`dilations should be ${r}D`);if(e.strides.length!==r)throw new Error(`strides should be ${r}D`);if(e.pads.length!==r*2)throw new Error(`pads should be ${r*2}D`);if(e.kernelShape.length!==0&&e.kernelShape.length!==i[1].dims.length-2)throw new Error("invalid kernel shape");if(i[0].type!=="float32"||i[1].type!=="float32")throw new Error("Conv input(X,W) should be float tensor");if(i.length===3&&i[2].type!=="float32")throw new Error("Conv input(bias) should be float tensor")}});var Id,_d,Sd,_u,Od,Ad,Pd,Ed,Dd,Ld,Su,$d,Ou=x(()=>{"use strict";at();X();R();xe();Id=(i,e,o,t,r,n)=>(i-1)*e+o+(t-1)*r+1-n,_d=(i,e,o,t,r)=>{let n=Math.floor(i/2);e==="SAME_UPPER"?(o[t]=n,o[r]=i-n):e==="SAME_LOWER"&&(o[t]=i-n,o[r]=n)},Sd=(i,e,o,t,r,n,s,a)=>{let u=i.length-2,l=a.length===0;for(let f=0;f($d(e,o),Od(i,e,o)),Od=(i,e,o)=>{let t=Ld(o,e);return[Dd(i,e,t)]},Ad=(i,e)=>({name:"ConvTranspose",inputNames:i?["X","W","B"]:["X","W"],inputTypes:i?[0,0,0]:[0,0],cacheHint:e}),Pd=(i,e,o,t)=>{let n=e.length>2?"getB(output_channel)":"0.0",s=e[0].dims,a=e[1].dims,u=a[1],l=a[0]/t.group,f=[e[0].dims[0],e[1].dims[1]*t.group,...t.outputShape],c=D(i.session.backend.glContext.version),{activationFunction:d,applyActivation:m}=zt(t),y=` + const ivec2 strides = ivec2(${t.strides[0]}, ${t.strides[1]}); + const ivec2 pads = ivec2(${t.pads[0]}, ${t.pads[1]}); + ${d} + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords.x; + int output_channel = coords.y; + + ivec2 loc = coords.zw + pads; + + int group_id = output_channel / ${u}; + int wOutChannel = output_channel - group_id * ${u}; + + float value = ${n}; + for (int inChannelOffset = 0; inChannelOffset < ${l}; inChannelOffset++) { + int input_channel = group_id * ${l} + inChannelOffset; + for (int wWOff = 0; wWOff < ${a[2]}; wWOff++) { + for (int wHOff = 0; wHOff < ${a[3]}; wHOff++) { + ivec2 wOff = ivec2(wWOff * ${t.dilations[0]}, wHOff * ${t.dilations[1]}); + ivec2 wLoc = loc - wOff; + ivec2 wLocIn = wLoc / strides; + if ( + wLocIn * strides == wLoc && + wLocIn.x >= 0 && wLocIn.x < ${s[2]} && + wLocIn.y >= 0 && wLocIn.y < ${s[3]} + ) { + float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x); + float wVal = getW(input_channel, wOutChannel, wHOff, wWOff); + value += xVal * wVal; + } + } + } + } + ${m} + ${c.output} = vec4(value, .0, .0, .0); + } +`;return{...o,output:{dims:f,type:e[0].type,textureType:0},shaderSource:y,hasMain:!0}},Ed=(i,e,o)=>{let t=Ad(e.length>2,o.cacheKey);return{...t,get:()=>Pd(i,e,t,o)}},Dd=(i,e,o)=>i.run(Ed(i,e,o),e),Ld=(i,e)=>{let o=i.kernelShape.slice();if(i.kernelShape.length===0)for(let a=2;a {let e=i.attributes,o=Ne(e),t=e.getString("auto_pad","NOTSET"),r=e.getInts("dilations",[1,1]),n=e.getInt("group",1),s=e.getInts("kernel_shape",[]),a=e.getInts("output_padding",[0,0]),u=e.getInts("output_shape",[]),l=e.getInts("pads",[0,0,0,0]),f=e.getInts("strides",[1,1]);return F({autoPad:t,dilations:r,group:n,kernelShape:s,outputPadding:a,outputShape:u,pads:l,strides:f,...o})},$d=(i,e)=>{if(!i||i.length!==2&&i.length!==3)throw new Error("Conv requires 2 or 3 inputs");if(i[0].dims.length!==4||i[1].dims.length!==4)throw new Error("currently only support 2-dimensional conv");let o=i[0].dims[1],t=i[1].dims[0];if(o!==t)throw new Error("FILTER_IN_CHANNEL should be equal to DATA_CHANNEL");let r=i[1].dims[1]*e.group;if(i.length===3&&(i[2].dims.length!==1||i[2].dims[0]!==r))throw new Error("invalid bias");let n=i[0].dims.length-2;if(e.dilations.length!==n)throw new Error(`dilations should be ${n}D`);if(e.strides.length!==n)throw new Error(`strides should be ${n}D`);if(e.pads.length!==n*2)throw new Error(`pads should be ${n*2}D`);if(e.outputPadding.length!==n)throw new Error(`output_padding should be ${n}D`);if(e.kernelShape.length!==0&&e.kernelShape.length!==i[1].dims.length-2)throw new Error("invalid kernel shape");if(e.outputShape.length!==0&&e.outputShape.length!==i[0].dims.length-2)throw new Error("invalid output shape");if(i[0].type!=="float32"||i[1].type!=="float32")throw new Error("ConvTranspose input(X,W) should be float tensor");if(i.length===3&&i[2].type!=="float32")throw new Error("ConvTranspose input(bias) should be float tensor")}});var Au,Te,Pu,kd,Eu,Bd,Fd,Nd,Xr=x(()=>{"use strict";at();U();R();Au={name:"Transpose",inputNames:["A"],inputTypes:[0]},Te=(i,e,o)=>(Nd(e),[i.run({...Au,cacheHint:o.cacheKey,get:()=>kd(i,e[0],o.perm)},e)]),Pu=i=>F({perm:i.attributes.getInts("perm",[])}),kd=(i,e,o)=>{let t=e.dims;o=Eu(t,o);let r=Bd(t,o),n=t.length,s=` + ${Fd("perm",o,n)} + float process(int indices[${n}]) { + int a[${n}]; + perm(a, indices); + return _A(a); + }`;return{...Au,output:{dims:r,type:e.type,textureType:0},shaderSource:s}},Eu=(i,e)=>(e&&e.length!==i.length&&(e=[...i.keys()].reverse()),e),Bd=(i,e)=>(e=Eu(i,e),A.sortBasedOnPerm(i,e)),Fd=(i,e,o)=>{let t=[];t.push(`void ${i}(out int a[${o}], int src[${o}]) {`);for(let r=0;r {if(!i||i.length!==1)throw new Error("Transpose requires 1 input.");if(i[0].type!=="float32"&&i[0].type!=="float64")throw new Error("input should be float tensor")}});var Du,Lu,Cd,$u=x(()=>{"use strict";Xr();Du=(i,e,o)=>{Cd(e);let t=o.blocksize,r=t*t,n=o.mode==="DCR"?[0,3,4,1,5,2]:[0,1,4,2,5,3],s=o.mode==="DCR"?[e[0].dims[0],t,t,e[0].dims[1]/r,e[0].dims[2],e[0].dims[3]]:[e[0].dims[0],e[0].dims[1]/r,t,t,e[0].dims[2],e[0].dims[3]],a=i.reshapeUnpacked(e[0],s),u={perm:n,cacheKey:`${n}`},[l]=Te(i,[a],u),f=[e[0].dims[0],e[0].dims[1]/r,e[0].dims[2]*t,e[0].dims[3]*t];return[i.reshapeUnpacked(l,f)]},Lu=i=>{let e=i.attributes.getInt("blocksize");if(e<1)throw new Error(`blocksize must be >= 1, but got : ${e} for DepthToSpace`);let o=i.attributes.getString("mode","DCR");if(o!=="DCR"&&o!=="CRD")throw new Error(`unrecognized mode: ${o} for DepthToSpace`);return{mode:o,blocksize:e}},Cd=i=>{if(i.length!==1)throw new Error(`DepthToSpace expect 1 inputs, but got ${i.length}`);if(i[0].type==="string"||i[0].dims.length!==4)throw new TypeError("DepthToSpace input should be a 4-D numeric tensor")}});var ku,Bu,Rd,Fu=x(()=>{"use strict";U();ku=(i,e,o)=>{Rd(e,o);let t=A.flattenShape(e[0].dims,o);return[i.reshapeUnpacked(e[0],t)]},Bu=i=>i.attributes.getInt("axis",1),Rd=(i,e)=>{if(!i||i.length!==1)throw new Error("Flatten requires 1 input.");let o=i[0].dims.length;if(o===0)throw new Error("scalar tensor is not supported.");if(e<-o||e>o)throw new Error("Invalid axis");if(i[0].type==="string")throw new Error("string tensor is not supported.")}});var re,nr=x(()=>{"use strict";re=["float32","float64","int32","int16","int8","uint16","uint32","uint8"]});var Nu,Cu,Gd,Md,Vd,Ud,Ru=x(()=>{"use strict";at();nr();U();R();Nu=(i,e,o)=>(Ud(e,o.axis),[i.run(Vd(i,e,o),e)]),Cu=i=>F({axis:i.attributes.getInt("axis",0)}),Gd={name:"Gather",inputNames:["A","B"],inputTypes:[0,0]},Md=(i,e,o,t)=>{let r=o[0].dims.slice(),n=o[1].dims.slice(),s=new Array(r.length+n.length-1);t=A.normalizeAxis(t,r.length);let a=[];for(let d=0;d {let t={...Gd,cacheHint:o.cacheKey};return{...t,get:()=>Md(i,t,e,o.axis)}},Ud=(i,e)=>{if(!i||i.length!==2)throw new Error("Gather requires 2 inputs.");let o=i[0].dims.length;if(o<1)throw new Error("Invalid input shape.");if(e<-o||e>o-1)throw new Error("Invalid axis.");if(re.indexOf(i[0].type)===-1)throw new Error("Invaid input type.");if(i[1].type!=="int32"&&i[1].type!=="int16")throw new Error("Invaid input type.")}});var Ao,Gu,Mu,Vu,zd,Wd,Hd,Uu=x(()=>{"use strict";at();U();R();Ao=(i,e,o)=>(Hd(e,o),[i.run(zd(e,o),e)]),Gu=(i,e)=>{let o=i.attributes.getInt("transA",0)!==0,t=i.attributes.getInt("transB",0)!==0,r=i.attributes.getFloat("alpha",1),n=i.attributes.getFloat("beta",1);return F({transA:o,transB:t,alpha:r,beta:n,isOptionalC:e})},Mu=i=>Gu(i,!1),Vu=i=>Gu(i,!0),zd=(i,e)=>{let o={name:"Gemm",inputNames:i.length===3?["A","B","C"]:["A","B"],inputTypes:i.length===3?[0,0,0]:[0,0],key:e.cacheKey};return{...o,get:()=>Wd(o,i,e)}},Wd=(i,e,o)=>{let t=e[0].dims.slice(),r=e[1].dims.slice(),[n,s]=Cr.getShapeOfGemmResult(t,o.transA,r,o.transB,e.length===3?e[2].dims:void 0),a=[n,s];if(!a)throw new Error("Can't use gemm on the given tensors");let u=t[t.length-1],l="";o.transA&&(u=t[0]),o.transA&&o.transB?l="value += _A_T(a) * _B_T(b);":o.transA&&!o.transB?l="value += _A_T(a) * _B(b);":!o.transA&&o.transB?l="value += _A(a) * _B_T(b);":!o.transA&&!o.transB&&(l="value += _A(a) * _B(b);");let f=a.length,c=e.length===3?`int c[${e[2].dims.length}];`:"",d=e.length===3?"bcastIndices_C(indices, c);":"",m=e.length===3?"value += beta * _C(c);":"",y=` + float process(int indices[${f}]) { + int a[${f}]; + int b[${f}]; + ${c} + + copyVec(indices, a); + copyVec(indices, b); + ${d} + + float value = 0.0; + for (int k=0; k<${u}; ++k) { + a[${f-1}] = k; + b[${f-2}] = k; + ${l} + } + + value = value * alpha; + ${m} + return value; + }`;return{...i,output:{dims:a,type:e[0].type,textureType:0},variables:[{name:"alpha",type:"float",data:o.alpha},{name:"beta",type:"float",data:o.beta}],shaderSource:y}},Hd=(i,e)=>{if(!i)throw new Error("Input is missing");if(e.isOptionalC&&(i.length<2||i.length>3))throw new Error("Invaid input shape.");if(!e.isOptionalC&&i.length!==3)throw new Error("Gemm requires 3 inputs");if(i.length===3&&i[2].dims.length!==1&&i[2].dims.length!==2)throw new Error("Invalid input shape of C");if(i[0].type!=="float32"&&i[0].type!=="float64"||i[1].type!=="float32"&&i[1].type!=="float64"||i.length===3&&i[2].type!=="float32"&&i[2].type!=="float64")throw new Error("Invalid input type.");if(i[0].type!==i[1].type||i.length===3&&i[0].type!==i[2].type)throw new Error("Input types are mismatched")}});var zu,Wu,qd,jd,Xd,Kd,Jd,Hu=x(()=>{"use strict";at();R();zu=(i,e,o)=>(Jd(e),[i.run(Xd(i,e,o),e)]),Wu=i=>{let e=i.attributes.getFloat("scale"),o=i.attributes.getFloats("bias");return F({scale:e,bias:o})},qd={name:"ImageScaler",inputNames:["X"],inputTypes:[0]},jd=(i,e,o,t)=>{let r=o[0].dims.slice(),n=r.length,a=` + ${Kd(t.bias.length)} + float process(int indices[${n}]) { + return _X(indices) * scale + getBias(bias, indices[1]); + }`;return{...e,output:{dims:r,type:o[0].type,textureType:0},variables:[{name:"bias",type:"float",arrayLength:t.bias.length,data:t.bias},{name:"scale",type:"float",data:t.scale}],shaderSource:a}},Xd=(i,e,o)=>{let t={...qd,cacheHint:o.cacheKey};return{...t,get:()=>jd(i,t,e,o)}},Kd=i=>{let e=[`float getBias(float bias[${i}], int channel) {`];for(let o=0;o{if(!i||i.length!==1)throw new Error("ImageScaler requires 1 input.");if(i[0].dims.length!==4)throw new Error("Invalid input shape.");if(i[0].type!=="float32"&&i[0].type!=="float64")throw new Error("Invalid input type.")}});var ju,Xu,qu,Zd,Yd,Qd,th,eh,rh,Ku=x(()=>{"use strict";X();R();ju=(i,e,o)=>{rh(e);let t=i.run(Yd(e[0]),e);return[i.run(eh(i,e[0],o,t.dims),[e[0],t,e[1],e[2]])]},Xu=i=>i.attributes.getFloat("epsilon",1e-5),qu={name:"InstanceNormalization_MeanAndVariance",inputNames:["X"],inputTypes:[0]},Zd=(i,e)=>{let o=e.dims.slice(),t=o[1],r=o[2]*o[3],n=[o[0],t],s=` + vec4 process(int[2] indices) { + vec4 v = vec4(0.0); + int a[4]; + a[0] = indices[0]; + a[1] = indices[1]; + float temp = 0.0; + for(int a2=0; a2<${o[2]}; a2++) { + a[2] = a2; + for(int a3=0; a3<${o[3]}; a3++) { + a[3] = a3; + float x = _X(a); + temp += x; + } + } + float mean = temp / float(${r}); + temp = 0.0; + for(int a2=0; a2<${o[2]}; a2++) { + a[2] = a2; + for(int a3=0; a3<${o[3]}; a3++) { + a[3] = a3; + float x = _X(a); + temp += (x - mean) * (x - mean); + } + } + v.r = mean; + v.g = temp / float(${r}); + + return v; + }`;return{...i,output:{dims:n,type:e.type,textureType:4},shaderSource:s}},Yd=i=>({...qu,get:()=>Zd(qu,i)}),Qd={name:"InstanceNormalization_ComputeOutput",inputNames:["X","MeanAndVariance","Scale","B"],inputTypes:[0,4,0,0]},th=(i,e,o,t,r)=>{let n=D(i.session.backend.glContext.version),[s,a]=i.calculateTextureWidthAndHeight(r,4),[u,l]=[s/4,a],f=` + vec4 get_MeanAndVariance(int[2] mv) { + int offset = indicesToOffset_MeanAndVariance(mv); + vec2 coords = offsetToCoords(offset, ${u}, ${l}); + return ${n.texture2D}(MeanAndVariance, coords); + } + + float process(int[4] indices) { + int mv[2]; + mv[0] = indices[0]; + mv[1] = indices[1]; + vec4 mean_and_variance = get_MeanAndVariance(mv); + float mean = mean_and_variance.r; + float variance = mean_and_variance.g; + + int sb[1]; + sb[0] = indices[1]; + float scale = _Scale(sb); + float b = _B(sb); + + return scale * (_X(indices) - mean) / sqrt(variance + epsilon) + b; + }`;return{...e,output:{dims:o.dims,type:o.type,textureType:0},variables:[{name:"epsilon",type:"float",data:t}],shaderSource:f}},eh=(i,e,o,t)=>{let r={...Qd,cacheHint:`${o}`};return{...r,get:()=>th(i,r,e,o,t)}},rh=i=>{if(!i||i.length!==3)throw new Error("InstanceNormalization requires 3 inputs.");let e=i[0],o=i[1],t=i[2];if(e.dims.length<3||o.dims.length!==1||t.dims.length!==1)throw new Error("Invalid input shape.");if(o.dims[0]!==e.dims[1]||t.dims[0]!==e.dims[1])throw new Error("Input shapes are mismatched.");if(e.type!=="float32"&&e.type!=="float64"||o.type!=="float32"&&o.type!=="float64"||t.type!=="float32"&&t.type!=="float64")throw new Error("Invalid input type.");if(i[0].dims.length!==4)throw new Error("Only support 4-D input shape.")}});function nh(i,e){let o=i[0].dims[1],t=i[0].dims.length,r=-Math.floor((e.size-1)/2),n=Math.ceil((e.size-1)/2),s=`float(${e.alpha}) / float(${e.size})`,a=`float(${e.bias})`,u=`float(${e.beta})`,l=` + float process(int indices[${t}]) { + int c = indices[1]; + float x = _X(indices); + float square_sum = 0.0; + + for (int i = ${r}; i <= ${n}; i++) { + int idx = c + i; + if (c >= 0 && c < ${o}) { + indices[1] = idx; + float j = _X(indices); + square_sum += j * j; + } + } + return x / pow(${a} + ${s} * square_sum, ${u}); + }`;return{...Yu,cacheHint:e.cacheKey,output:{dims:i[0].dims,type:i[0].type,textureType:0},shaderSource:l}}function oh(i,e){return{...Yu,cacheHint:e.cacheKey,get:()=>nh(i,e)}}var Ju,Zu,Yu,ih,Qu=x(()=>{"use strict";at();R();Ju=(i,e,o)=>(ih(e),[i.run(oh(e,o),e)]),Zu=i=>{let e=i.attributes.getFloat("alpha",1e-4),o=i.attributes.getFloat("beta",.75),t=i.attributes.getFloat("bias",1),r=i.attributes.getInt("size");return F({alpha:e,beta:o,bias:t,size:r})},Yu={name:"LRN",inputNames:["X"],inputTypes:[0]};ih=i=>{if(!i||i.length!==1)throw new Error("LRN requires 1 input.");if(i[0].dims.length!==4)throw new Error('currently only support LRN for input with "NCHW" format');if(i[0].type!=="float32")throw new Error("input should be float type")}});var ah,Po,tl,el,rl,sh,uh,lh,fh,ch,ph,dh,hh,nl=x(()=>{"use strict";at();U();X();R();ah={name:"Pad",inputNames:["A"],inputTypes:[0]},Po=(i,e,o)=>(lh(e),[i.run({...ah,cacheHint:o.cacheKey,get:()=>uh(i,e[0],o)},e)]),tl=i=>{let e=i.attributes.getString("mode","constant"),o=i.attributes.getFloat("value",0),t=i.attributes.getInts("pads");return F({mode:e,value:o,pads:t})},el=(i,e,o)=>{fh(e);let t=sh(i,e,o);return Po(i,[e[0]],t)},rl=i=>i.attributes.getString("mode","constant"),sh=(i,e,o)=>{if(!i.session.isInitializer(e[1].dataId)||e.length>=3&&!i.session.isInitializer(e[2].dataId))throw new Error("dynamic pad attributes are not allowed");let t=Array.from(e[1].integerData),r=e.length>=3?e[2].floatData[0]:0;return F({mode:o,pads:t,value:r})},uh=(i,e,o)=>{let t=A.padShape(e.dims.slice(),o.pads),r=t.length,s=` + ${ch(i,e,o)} + float process(int[${r}] indices) { + return padA(indices); + }`;return{name:"Pad",inputNames:["A"],inputTypes:[0],output:{dims:t,type:e.type,textureType:0},shaderSource:s}},lh=i=>{if(!i||i.length!==1)throw new Error("Pad requires 1 input");if(i[0].type!=="float32"&&i[0].type!=="float64")throw new Error("Invalid input type.")},fh=i=>{if(!i||i.length!==2&&i.length!==3)throw new Error("Pad requires 2 or 3 inputs");if(i[1].type!=="int32")throw new Error("Invalid input type.");if(i.length>=3&&i[2].type==="string")throw new Error("Invalid input type.")},ch=(i,e,o)=>{let t=D(i.session.backend.glContext.version),[r,n]=i.calculateTextureWidthAndHeight(e.dims,0),s=A.computeStrides(e.dims);switch(o.mode){case"constant":return ph(t,e.dims,s,r,n,o.pads,o.value);case"reflect":return dh(t,e.dims,s,r,n,o.pads);case"edge":return hh(t,e.dims,s,r,n,o.pads);default:throw new Error("Invalid mode")}},ph=(i,e,o,t,r,n,s)=>{let a=e.length,u="";for(let l=a-1;l>=0;--l)u+=` + k = m[${l}] - ${n[l]}; + if (k < 0) return constant; + if (k >= ${e[l]}) return constant; + offset += k * ${o[l]}; + `;return` + float padA(int m[${a}]) { + const float constant = float(${s}); + int offset = 0; + int k = 0; + ${u} + vec2 coords = offsetToCoords(offset, ${t}, ${r}); + float value = getColorAsFloat(${i.texture2D}(A, coords)); + return value; + } + `},dh=(i,e,o,t,r,n)=>{let s=e.length,a="";for(let u=s-1;u>=0;--u)a+=` + k = m[${u}] - ${n[u]}; + if (k < 0) { k = -k; } + { + const int _2n_1 = ${2*(e[u]-1)}; + k = int( mod( float(k), float(_2n_1) ) ) ; + if(k >= ${e[u]}) { k = _2n_1 - k; } + } + offset += k * ${o[u]}; + `;return` + float padA(int m[${s}]) { + int offset = 0; + int k = 0; + ${a} + vec2 coords = offsetToCoords(offset, ${t}, ${r}); + float value = getColorAsFloat(${i.texture2D}(A, coords)); + return value; + } + `},hh=(i,e,o,t,r,n)=>{let s=e.length,a="";for(let u=s-1;u>=0;--u)a+=` + k = m[${u}] - ${n[u]}; + if (k < 0) k = 0; + if (k >= ${e[u]}) k = ${e[u]-1}; + offset += k * ${o[u]}; + `;return` + float padA(int m[${s}]) { + int offset = 0; + int k = 0; + ${a} + vec2 coords = offsetToCoords(offset, ${t}, ${r}); + float value = getColorAsFloat(${i.texture2D}(A, coords)); + return value; + } + `}});var il,al,sl,ul,ll,fl,cl,pl,dl,mh,ol,hl,Jr,ml,Kr,bh,bl=x(()=>{"use strict";at();U();R();il=(i,e,o)=>{Jr(e);let t={name:"AveragePool",inputNames:["X"],inputTypes:[0],cacheHint:o.cacheKey};return[i.run({...t,get:()=>sl(e,t,!1,o)},e)]},al=i=>{let e=i.attributes.getString("auto_pad","NOTSET"),o=i.attributes.getInt("ceil_mode",0),t=i.attributes.getInt("count_include_pad",0)!==0,r=i.attributes.getInts("kernel_shape"),n=i.attributes.getInts("strides",[]),s=i.attributes.getInts("pads",[]);if(o!==0)throw new Error("using ceil() in shape computation is not yet supported for AveragePool");return F({autoPad:e,ceilMode:o,countIncludePad:t,kernelShape:r,strides:n,pads:s})},sl=(i,e,o,t)=>{let[r,n]=dl(i,t,o),s=A.size(r.kernelShape),a="value += _X(x);",u="";r.countIncludePad?u+=`value /= float(${s});`:u+=`value /= float(${s} - pad);`;let f=` + ${ml(i[0].dims,r,a,u,"0.0")} + `;return{...e,output:{dims:n,type:i[0].type,textureType:0},shaderSource:f}},ul=(i,e,o)=>{Jr(e);let t={name:"GlobalAveragePool",inputNames:["X"],inputTypes:[0],cacheHint:`${o.countIncludePad}`};return[i.run({...t,get:()=>sl(e,t,!0,o)},e)]},ll=i=>{let e=i.attributes.getInt("count_include_pad",0)!==0;return F({autoPad:"",ceilMode:0,countIncludePad:e,kernelShape:[],strides:[],pads:[]})},fl=(i,e,o)=>{Jr(e);let t={name:"MaxPool",inputNames:["X"],inputTypes:[0],cacheHint:o.cacheKey};return[i.run({...t,get:()=>pl(e,t,!1,o)},e)]},cl=i=>{let e=i.attributes.getString("auto_pad","NOTSET"),o=i.attributes.getInt("ceil_mode",0),t=i.attributes.getInts("kernel_shape"),r=i.attributes.getInts("strides",[]),n=i.attributes.getInts("pads",[]),s=i.attributes.getInt("storage_order",0),a=i.attributes.getInts("dilations",[]);if(s!==0)throw new Error("column major storage order is not yet supported for MaxPool");if(o!==0)throw new Error("using ceil() in shape computation is not yet supported for MaxPool");return F({autoPad:e,ceilMode:o,countIncludePad:!1,kernelShape:t,strides:r,pads:n,storageOrder:s,dilations:a})},pl=(i,e,o,t)=>{let[r,n]=dl(i,t,o),s=` + value = max(_X(x), value); + `,a="",l=` + ${ml(i[0].dims,r,s,a,"-1e5")} + `;return{...e,output:{dims:n,type:i[0].type,textureType:0},shaderSource:l}},dl=(i,e,o)=>{let t=i[0].dims.slice(),r=Object.hasOwnProperty.call(e,"dilations"),n=e.kernelShape.slice(),s=e.strides.slice(),a=r?e.dilations.slice():[],u=e.pads.slice();he.adjustPoolAttributes(o,t,n,s,a,u);let l=he.computePoolOutputShape(o,t,s,a,n,u,e.autoPad),f=Object.assign({},e);return r?Object.assign(f,{kernelShape:n,strides:s,pads:u,dilations:a,cacheKey:e.cacheKey}):Object.assign(f,{kernelShape:n,strides:s,pads:u,cacheKey:e.cacheKey}),[f,l]},mh={autoPad:"",ceilMode:0,countIncludePad:!1,kernelShape:[],strides:[],pads:[],storageOrder:0,dilations:[],cacheKey:""},ol={name:"GlobalMaxPool",inputNames:["X"],inputTypes:[0]},hl=(i,e)=>(Jr(e),[i.run({...ol,get:()=>pl(e,ol,!0,mh)},e)]),Jr=i=>{if(!i||i.length!==1)throw new Error("Pool ops requires 1 input.");if(i[0].type!=="float32"&&i[0].type!=="float64")throw new Error("Invalid input type.")},ml=(i,e,o,t,r)=>{let n=i.length;if(e.kernelShape.length<=2){let s=e.kernelShape[e.kernelShape.length-1],a=e.strides[e.strides.length-1],u=e.pads[e.pads.length/2-1],l=e.pads[e.pads.length-1],f=i[n-1],c="",d="",m="";if(u+l!==0?c=` + for (int i = 0; i < ${s}; i++) { + x[${n} - 1] = indices[${n} - 1] * ${a} - ${u} + i; + if (x[${n} - 1] < 0 || x[${n} - 1] >= ${f}) { + pad++; + continue; + } + ${o} + }`:c=` + for (int i = 0; i < ${s}; i++) { + x[${n} - 1] = indices[${n} - 1] * ${a} - ${u} + i; + ${o} + }`,e.kernelShape.length===2){let g=e.kernelShape[e.kernelShape.length-2],T=e.strides[e.strides.length-2],_=e.pads[e.pads.length/2-2],w=e.pads[e.pads.length-2],v=i[n-2];_+w!==0?d=` + for (int j = 0; j < ${g}; j++) { + x[${n} - 2] = indices[${n} - 2] * ${T} - ${_} + j; + if (x[${n} - 2] < 0 || x[${n} - 2] >= ${v}) { + pad+= ${s}; + continue; + } + `:d=` + for (int j = 0; j < ${g}; j++) { + x[${n} - 2] = indices[${n} - 2] * ${T} - ${_} + j; + `,m=` + } + `}return` + float process(int indices[${n}]) { + int x[${n}]; + copyVec(indices, x); + + float value = ${r}; + int pad = 0; + ${d} + ${c} + ${m} + ${t} + return value; + } + `}else{let s=A.size(e.kernelShape),a=A.computeStrides(e.kernelShape),u=a.length,l=e.pads.length,f=bh(u),c=Kr(i,"inputDims"),d=Kr(e.pads,"pads"),m=Kr(a,"kernelStrides"),y=Kr(e.strides,"strides"),g=e.pads.reduce((w,v)=>w+v),T="";return g?T=` + if (x[j] >= inputDims[j] || x[j] < 0) { + pad++; + isPad = true; + break; + } + } + if (!isPad) { + ${o} + }`:T=` + } + ${o} + `,` + ${f} + float process(int indices[${n}]) { + int x[${n}]; + copyVec(indices, x); + int offset[${u}]; + int pads[${l}]; + int inputDims[${n}]; + int kernelStrides[${u}]; + int strides[${u}]; + ${d} + ${c} + ${y} + ${m} + + float value = ${r}; + int pad = 0; + bool isPad = false; + for (int i = 0; i < ${s}; i++) { + offsetToIndices(i, kernelStrides, offset); + isPad = false; + for (int j = ${n} - ${u}; j < ${n}; j++) { + x[j] = indices[j] * strides[j - ${n} + ${u}] + + offset[j - ${n} + ${u}] - pads[j - 2]; + ${T} + } + ${t} + + return value; + } + `}},Kr=(i,e)=>{let o="";for(let t=0;t ` + void offsetToIndices(int offset, int[${i}] strides, out int[${i}] indices) { + if (${i} == 0) { + return; + } + for (int i = 0; i < ${i} - 1; ++i) { + indices[i] = offset / strides[i]; + offset -= indices[i] * strides[i]; + } + indices[${i} - 1] = offset; + }`});var we,ne,yh,gh,yl,gl,xl,Tl,wl,vl,Il,_l=x(()=>{"use strict";at();nr();U();R();we=(i,e,o,t,r)=>{gh(e);let n={name:t,inputNames:["A"],inputTypes:[0]};return[i.run({...n,cacheHint:o.cacheKey,get:()=>yh(i,e,o,t,r,n)},e)]},ne=i=>{let e=i.attributes.getInts("axes",[]),o=i.attributes.getInt("keepdims",1)===1;return F({axes:e,keepDims:o})},yh=(i,e,o,t,r,n)=>{let s=[],a=e[0].dims.length||1,u=[],l=A.normalizeAxes(o.axes,e[0].dims.length),f=r(e,l),c=f[1];for(let y=0;y =0||l.length===0?(o.keepDims&&s.push(1),c=` + for(int j${y} = 0; j${y} < ${e[0].dims[y]}; j${y}++) { + inputIdx[${y}] = j${y}; + ${c} + }`):(u.push(`inputIdx[${y}] = outputIdx[${s.length}];`),s.push(e[0].dims[y]));let m=` + float process(int outputIdx[${s.length||1}]) { + float value; // final result + int inputIdx[${a}]; // addressing input data + ${u.join(` +`)} + ${f[0]} // init ops for reduce max/min + ${c} + ${f[2]} // final computation for reduce mean + return value; + }`;return{...n,output:{dims:s,type:e[0].type,textureType:0},shaderSource:m}},gh=i=>{if(!i||i.length!==1)throw new Error("Reduce op requires 1 input.");if(re.indexOf(i[0].type)===-1)throw new Error("Invalid input type.")},yl=(i,e,o)=>we(i,e,o,"ReduceSum",()=>["value = 0.0;","value += _A(inputIdx);",""]),gl=(i,e,o)=>we(i,e,o,"ReduceMean",(r,n)=>{let s=1;for(let a=0;a =0||n.length===0)&&(s*=r[0].dims[a]);return["value = 0.0;","value += _A(inputIdx);",`value /= ${s}.;`]}),xl=(i,e,o)=>we(i,e,o,"ReduceMax",(r,n)=>{let s=[];for(let a=0;a =0||n.length===0)&&s.push(`inputIdx[${a}] = 0;`);return[`${s.join(` +`)} +value = _A(inputIdx);`,"value = max(value, _A(inputIdx));",""]}),Tl=(i,e,o)=>we(i,e,o,"ReduceMin",(r,n)=>{let s=[];for(let a=0;a =0||n.length===0)&&s.push(`inputIdx[${a}] = 0;`);return[`${s.join(` +`)} +value = _A(inputIdx);`,"value = min(value, _A(inputIdx));",""]}),wl=(i,e,o)=>we(i,e,o,"ReduceProd",()=>["value = 1.0;","value *= _A(inputIdx);",""]),vl=(i,e,o)=>we(i,e,o,"ReduceLogSum",()=>["value = 0.0;","value += _A(inputIdx);","value = log(value);"]),Il=(i,e,o)=>we(i,e,o,"ReduceLogSumSquare",()=>["float t; value = 0.0;","t = _A(inputIdx); value += t * t;",""])});var Sl,Ol=x(()=>{"use strict";U();Sl=(i,e)=>{let o=A.calculateReshapedDims(e[0].dims,e[1].integerData);return i.session.pack?[i.reshapePacked(e[0],o)]:[i.reshapeUnpacked(e[0],o)]}});var Al,Eo,Pl,El,or,xh,Do,Zr,Lo=x(()=>{"use strict";at();X();R();Al={name:"Upsample",inputNames:["X"],inputTypes:[0]},Eo=(i,e,o)=>(Do(e,o),[i.run({...Al,cacheHint:o.cacheKey,get:()=>xh(i,e,o)},e)]),Pl=i=>or(i,7),El=i=>or(i,9),or=(i,e)=>{let o=e>=10,t=i.attributes.getString("mode","nearest");if(t!=="nearest"&&t!=="linear"&&(e<11||t!=="cubic"))throw new Error(`unrecognized mode: ${t}`);let r=[];e<9&&(r=i.attributes.getFloats("scales"),Zr(r,t,o));let n=i.attributes.getFloat("extrapolation_value",0),s=e>10?i.attributes.getString("coordinate_transformation_mode","half_pixel"):"asymmetric";if(["asymmetric","pytorch_half_pixel","tf_half_pixel_for_nn","align_corners","tf_crop_and_resize","half_pixel"].indexOf(s)===-1)throw new Error(`coordinate_transform_mode '${s}' is not supported`);let a=s==="tf_crop_and_resize",u=a,l=t==="nearest"&&e>=11?i.attributes.getString("nearest_mode","round_prefer_floor"):"";if(["round_prefer_floor","round_prefer_ceil","floor","ceil",""].indexOf(l)===-1)throw new Error(`nearest_mode '${l}' is not supported`);let f=i.attributes.getFloat("cubic_coeff_a",-.75),c=i.attributes.getInt("exclude_outside",0)!==0;if(c&&t!=="cubic")throw new Error("exclude_outside can be set to 1 only when mode is CUBIC.");let d=e<11?!0:t==="nearest"&&s==="asymmetric"&&l==="floor",m=0,y=0,g=0;return e>10?i.inputs.length>2?(m=1,y=2,g=3):(y=1,g=2):e===9&&(y=1),F({opset:e,isResize:o,mode:t,scales:r,extrapolationValue:n,coordinateTransformMode:s,useExtrapolation:u,needRoiInput:a,nearestMode:l,cubicCoefficientA:f,excludeOutside:c,useNearest2xOptimization:d,roiInputIdx:m,scalesInputIdx:y,sizesInputIdx:g})},xh=(i,e,o)=>{let t=D(i.session.backend.glContext.version),[r,n]=i.calculateTextureWidthAndHeight(e[0].dims,0),s=e[0].dims.map((g,T)=>Math.floor(g*o.scales[T])),[a,u]=i.calculateTextureWidthAndHeight(s,0),l=s.length,f=new Array(l),c=new Array(l),d=` + int output_pitches[${l}]; + int input_pitches[${l}]; + `;for(let g=l-1;g>=0;g--)f[g]=g===l-1?1:f[g+1]*s[g+1],c[g]=g===l-1?1:c[g+1]*e[0].dims[g+1],d+=` + output_pitches[${g}] = ${f[g]}; + input_pitches[${g}] = ${c[g]}; + `;let m=` + float getInputFloat(int index) { + vec2 coords = offsetToCoords(index, ${r}, ${n}); + float value = getColorAsFloat(${t.texture2D}(X, coords)); + return value; + } + `,y=o.mode==="nearest"?` + ${m} + float process(int indices[${l}]) { + int input_index = 0; + int output_index = coordsToOffset(TexCoords, ${a}, ${u}); + + ${d} + + int d, m; + for (int dim = 0; dim < ${l}; ++dim) { + d = output_index / output_pitches[dim]; + m = output_index - d * output_pitches[dim]; + output_index = m; + + if (scales[dim] != 1 && d > 0) { + int d2 = d / scales[dim]; + m = d - d2 * scales[dim]; + d = d2; + } + input_index += input_pitches[dim] * d; + } + + return getInputFloat(input_index); + }`:l===4?` + ${m} + float process(int indices[4]) { + int input_index = 0; + int output_index = coordsToOffset(TexCoords, ${a}, ${u}); + + ${d} + + int m; + int index_of_dim0, index_of_dim1, index_of_dim2, index_of_dim3; + index_of_dim0 = output_index / output_pitches[0]; + m = output_index - index_of_dim0 * output_pitches[0]; + index_of_dim1 = m / output_pitches[1]; + m = m - index_of_dim1 * output_pitches[1]; + index_of_dim2 = m / output_pitches[2]; + m = m - index_of_dim2 * output_pitches[2]; + index_of_dim3 = m; + + int index_of_input_dim2, index_of_input_dim3, x_offset, y_offset; + index_of_input_dim2 = index_of_dim2 / scales[2]; + y_offset = index_of_dim2 - index_of_input_dim2 * scales[2]; + index_of_input_dim3 = index_of_dim3 / scales[3]; + x_offset = index_of_dim3 - index_of_input_dim3 * scales[3]; + + input_index = index_of_dim0 * input_pitches[0] + + index_of_dim1 * input_pitches[1] + + index_of_input_dim2 * input_pitches[2] + + index_of_input_dim3; + + float x00 = getInputFloat(input_index); + float x10, x01, x11; + + bool end_of_dim2 = false; + if (index_of_input_dim2 == (${e[0].dims[2]} - 1)) { + // It's the end in dimension 2 + x01 = x00; + end_of_dim2 = true; + } else { + x01 = getInputFloat(input_index + input_pitches[2]); + } + + if (index_of_input_dim3 == (input_pitches[2] - 1)) { + // It's the end in dimension 3 + x10 = x00; + x11 = x01; + } + else { + x10 = getInputFloat(input_index + 1); + x11 = end_of_dim2 ? x10 : getInputFloat(input_index + input_pitches[2] + 1); + } + + float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[2]); + float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[2]); + return y0 + float(x_offset) * (y1 - y0) / float(scales[3]); + }`:` + ${m} + float process(int indices[2]) { + int input_index = 0; + int output_index = coordsToOffset(TexCoords, ${a}, ${u}); + + ${d} + + int m; + int index_of_dim0, index_of_dim1; + index_of_dim0 = output_index / output_pitches[0]; + m = output_index - index_of_dim0 * output_pitches[0]; + index_of_dim1 = m; + + int index_of_input_dim0, index_of_input_dim1, x_offset, y_offset; + index_of_input_dim0 = index_of_dim0 / scales[0]; + y_offset = index_of_dim0 - index_of_input_dim0 * scales[0]; + index_of_input_dim1 = index_of_dim1 / scales[1]; + x_offset = index_of_dim1 - index_of_input_dim1 * scales[1]; + + input_index = index_of_input_dim0 * input_pitches[0] + index_of_input_dim1; + + float x00 = getInputFloat(input_index); + float x10, x01, x11; + + bool end_of_dim0 = false; + if (index_of_input_dim0 == (${e[0].dims[0]} - 1)) { + // It's the end in dimension 0 + x01 = x00; + end_of_dim0 = true; + } else { + x01 = getInputFloat(input_index + input_pitches[0]); + } + + if (index_of_input_dim1 == (input_pitches[0] - 1)) { + // It's the end in dimension 1 + x10 = x00; + x11 = x01; + } + else { + x10 = getInputFloat(input_index + 1); + x11 = end_of_dim0 ? x10 : getInputFloat(input_index + input_pitches[0] + 1); + } + + float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[0]); + float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[0]); + return y0 + float(x_offset) * (y1 - y0) / float(scales[1]); + }`;return{...Al,output:{dims:s,type:e[0].type,textureType:0},shaderSource:y,variables:[{name:"scales",type:"int",arrayLength:o.scales.length,data:o.scales.map(g=>Math.ceil(g))}]}},Do=(i,e)=>{if(!i||e.opset<9&&i.length!==1||e.opset>=9&&e.opset<11&&i.length!==2||e.opset>=11&&i.length<2)throw new Error("invalid inputs.");if(e.scales.length>0&&i[0].dims.length!==e.scales.length)throw new Error("Invalid input shape.");if(i[0].type==="string")throw new Error("Invalid input tensor types.")},Zr=(i,e,o)=>{if(o){for(let t of i)if(t<=0)throw new Error("Scale value should be greater than 0.")}else for(let t of i)if(t<1)throw new Error("Scale value should be greater than or equal to 1.");if((e==="linear"||e==="cubic")&&i.length!==2&&(i.length!==4||i[0]!==1||i[1]!==1))throw new Error(`'Linear' mode and 'Cubic' mode only support 2-D inputs ('Bilinear', 'Bicubic') or 4-D inputs with the corresponding outermost 2 scale values being 1 in the ${o?"Resize":"Upsample"} opeartor.`)}});var $o,ko,Dl,Ll,Th,wh,vh,Ih,$l=x(()=>{"use strict";X();R();Vt();ge();Lo();$o={name:"Resize",inputNames:["A"],inputTypes:[2]},ko=(i,e,o)=>(Do(e,o),[i.run({...$o,cacheHint:o.cacheKey,get:()=>Th(i,e,o)},e)]),Dl=i=>or(i,10),Ll=i=>or(i,11),Th=(i,e,o)=>{let t=D(i.session.backend.glContext.version),[r,n]=wh(e,o);if(r.every(v=>v===1)&&o.coordinateTransformMode!=="tf_crop_and_resize")return{...$o,output:{dims:n,type:e[0].type,textureType:2},hasMain:!0,shaderSource:`void main() { + vec4 v = ${t.texture2D}(X, TexCoords); + ${t.output} = v; + }`};let a=n.length;if(a<2)throw new Error(`output dimension should be at least 2, but got ${a}`);let u=n[a-2],l=n[a-1],f=e[0].dims;if(a!==f.length)throw new Error(`output dimension should match input ${f.length}, but got ${a}`);let c=f[a-2],d=f[a-1],m=r[a-2],y=r[a-1],g="";if(o.mode!=="linear")throw new Error(`resize (packed) does not support mode: '${o.mode}'`);switch(o.coordinateTransformMode){case"asymmetric":g=` + vec4 getSourceFracIndex(ivec4 coords) { + return vec4(coords) / scaleWHWH; + } + `;break;case"half_pixel":g=` + vec4 getSourceFracIndex(ivec4 coords) { + return (vec4(coords) + 0.5) / scaleWHWH - 0.5; + } + `;break;case"pytorch_half_pixel":g=` + vec4 getSourceFracIndex(ivec4 coords) { + vec4 fcoords = vec4(coords); + return vec4( + ${l}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0, + ${u}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0, + ${l}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0, + ${u}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0 + ); + } + `;break;case"align_corners":g=` + vec4 getSourceFracIndex(ivec4 coords) { + vec4 resized = vec4(${l}.0 - 1.0, ${u}.0 - 1.0, ${l}.0 - 1.0, + ${u}.0 - 1.0); + vec4 original = vec4(${d}.0 - 1.0, ${c}.0 - 1.0, ${d}.0 - 1.0, + ${c}.0 - 1.0); + vec4 new_scale = original / resized; + return vec4(coords) * new_scale; + } + `;break;default:throw new Error(`resize (packed) does not support coordinateTransformMode: '${o.coordinateTransformMode}'`)}let T=ht(a),_=Ut(),w=` + const vec2 inputWH = vec2(${c}.0, ${d}.0); + const vec4 scaleWHWH = vec4(float(${m}), float(${y}), float(${m}), float(${y})); + ${_} + ${g} + float getAValue(int x10, int r, int c, int d) { + return getChannel(getA(x10, r, c, d), vec2(c, d)); + } + void main() { + ${T} rc = getOutputCoords(); + + int batch = rc[0]; + int depth = rc[1]; + + // retrieve the 4 coordinates that is used in the 4 packed output values. + ivec4 coords = ivec4(rc.wz, rc.w + 1, rc.z + 1); + + // calculate the source index in fraction + vec4 sourceFrac = getSourceFracIndex(coords); + + // get the lower and upper bound of the 4 values that will be packed into one texel. + ivec4 x00 = ivec4(max(sourceFrac.xy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xy))); + ivec4 x01 = ivec4(max(sourceFrac.xw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xw))); + ivec4 x10 = ivec4(max(sourceFrac.zy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zy))); + ivec4 x11 = ivec4(max(sourceFrac.zw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zw))); + + bool hasNextRow = rc.w < ${u-1}; + bool hasNextCol = rc.z < ${l-1}; + + // pack x00, x01, x10, x11's top-left corner into one vec4 structure + vec4 topLeft = vec4( + getAValue(batch, depth, x00.x, x00.y), + hasNextCol ? getAValue(batch, depth, x01.x, x01.y) : 0.0, + hasNextRow ? getAValue(batch, depth, x10.x, x10.y) : 0.0, + (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.y) : 0.0); + + // pack x00, x01, x10, x11's top-right corner into one vec4 structure + vec4 topRight = vec4( + getAValue(batch, depth, x00.x, x00.w), + hasNextCol ? getAValue(batch, depth, x01.x, x01.w) : 0.0, + hasNextRow ? getAValue(batch, depth, x10.x, x10.w) : 0.0, + (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.w) : 0.0); + + // pack x00, x01, x10, x11's bottom-left corner into one vec4 structure + vec4 bottomLeft = vec4( + getAValue(batch, depth, x00.z, x00.y), + hasNextCol ? getAValue(batch, depth, x01.z, x01.y) : 0.0, + hasNextRow ? getAValue(batch, depth, x10.z, x10.y) : 0.0, + (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.y) : 0.0); + + // pack x00, x01, x10, x11's bottom-right corner into one vec4 structure + vec4 bottomRight = vec4( + getAValue(batch, depth, x00.z, x00.w), + hasNextCol ? getAValue(batch, depth, x01.z, x01.w) : 0.0, + hasNextRow ? getAValue(batch, depth, x10.z, x10.w) : 0.0, + (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.w) : 0.0); + + // calculate the interpolation fraction on u and v direction + vec4 frac = vec4(sourceFrac) - floor(sourceFrac); + vec4 clampFrac = clamp(frac, vec4(0.0), vec4(1.0)); + + vec4 top = mix(topLeft, topRight, clampFrac.ywyw); + vec4 bottom = mix(bottomLeft, bottomRight, clampFrac.ywyw); + vec4 newValue = mix(top, bottom, clampFrac.xxzz); + + ${t.output} = vec4(newValue); + } + `;return{...$o,output:{dims:n,type:e[0].type,textureType:2},hasMain:!0,shaderSource:w}},wh=(i,e)=>{let t=i[0].dims,r=e.scales,n;if(r.length===0){let a=i[e.scalesInputIdx];if(a&&a.size!==0){if(i[e.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");r=vh(a,e.mode,e.isResize)}else{let u=i[e.sizesInputIdx];if(!u||u.size===0)throw new Error("Either scales or sizes MUST be provided as input.");n=Array.from(u.integerData),r=Ih(n,t,e.mode,e.isResize)}}else if(i[e.sizesInputIdx])throw new Error("Only one of scales or sizes must be provided as input.");let s=n||t.map((a,u)=>Math.floor(a*r[u]));return[r,s]},vh=(i,e,o)=>{let t=Array.from(i.floatData);return Zr(t,e,o),t},Ih=(i,e,o,t)=>{let r=e.length,n=new Array(r);for(let s=0,a=r;s{"use strict";ye();kl=(i,e)=>(_h(e),[new rt([e[0].dims.length],"int32",void 0,void 0,new Int32Array(e[0].dims))]),_h=i=>{if(!i||i.length!==1)throw new Error("Shape requires 1 input.")}});var Bo,Fl,Nl,Cl,Sh,Rl,Oh,Ah,Gl=x(()=>{"use strict";at();nr();U();R();Bo={name:"Slice",inputNames:["A"],inputTypes:[0]},Fl=(i,e,o)=>(Sh(e),[i.run({...Bo,cacheHint:o.cacheKey,get:()=>Cl(i,e[0],o)},e)]),Nl=i=>{let e=i.attributes.getInts("starts"),o=i.attributes.getInts("ends"),t=i.attributes.getInts("axes",[]);return F({starts:e,ends:o,axes:t})},Cl=(i,e,o)=>{let t=o.axes.length===0?e.dims.slice(0).map((c,d)=>d):o.axes,r=A.normalizeAxes(t,e.dims.length),n=o.starts.map((c,d)=>c>e.dims[r[d]]-1?e.dims[r[d]]:A.normalizeAxis(c,e.dims[r[d]])),s=o.ends.map((c,d)=>c>e.dims[r[d]]-1?e.dims[r[d]]:A.normalizeAxis(c,e.dims[r[d]])),a=e.dims.slice(),u=[];for(let c=0;c 0&&u.push(`outputIdx[${r[c]}] += ${n[c]};`);let f=` + float process(int outputIdx[${a.length}]) { + ${u.join(` + `)} + return _A(outputIdx); + }`;return{...Bo,output:{dims:a,type:e.type,textureType:0},shaderSource:f}},Sh=i=>{if(!i||i.length!==1)throw new Error("Slice requires 1 input.");if(re.indexOf(i[0].type)===-1)throw new Error("Invalid input type.")},Rl=(i,e)=>{Ah(e);let o=Oh(i,e);return[i.run({...Bo,cacheHint:o.cacheKey,get:()=>Cl(i,e[0],o)},[e[0]])]},Oh=(i,e)=>{if(!i.session.isInitializer(e[1].dataId)||!i.session.isInitializer(e[2].dataId)||e.length>=4&&!i.session.isInitializer(e[3].dataId)||e.length>=5&&!i.session.isInitializer(e[4].dataId))throw new Error("dynamic slice attributes are 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n=Ph(i,e[0],t,r,[t]),s=i.run({...Ml,cacheHint:o.cacheKey,get:()=>n},e),a=Eh(i,e[0],t,r,n.output.dims,[t]),u=i.run({...Vl,cacheHint:o.cacheKey,get:()=>a},[e[0],s]),l=Dh(i,e[0],t,r,n.output.dims,a.output.dims);return[i.run({...Ul,cacheHint:o.cacheKey,get:()=>l},[e[0],s,u])]},Ph=(i,e,o,t,r)=>{let[n,s]=i.calculateTextureWidthAndHeight(e.dims,0),a=r.length;if(o<1||t<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(r.length!==1)throw new Error("Dimensionality of the output should be 1");if(r[0]!==o)throw new Error("Shape of the output should be equal to logical row count");let u=D(i.session.backend.glContext.version),l=` + float process(int[${a}] indices) { + int logical_row_start_offset = indices[0] * ${t}; + + float max = getColorAsFloat(${u.texture2D}(A, offsetToCoords(logical_row_start_offset, ${n}, + ${s} ))); + for(int i=1; i<${t}; ++i) + { + float current = getColorAsFloat(${u.texture2D}(A, offsetToCoords(logical_row_start_offset + i, + ${n}, ${s}))); + if(current > max) + max = current; + } + + return max; + }`;return{...Ml,output:{dims:r,type:e.type,textureType:0},shaderSource:l}},Eh=(i,e,o,t,r,n)=>{let[s,a]=i.calculateTextureWidthAndHeight(e.dims,0),u=n.length;if(o<1||t<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(n.length!==1)throw new Error("Dimensionality of the output should be 1");if(n[0]!==o)throw new Error("Shape of the output should be equal to logical row count");if(r.length!==1)throw new Error("Dimensionality of the intermediate results should be 1");if(r[0]!==o)throw new Error("Shape of the intermediate results should be equal to logical row count");let l=D(i.session.backend.glContext.version),f=` + float process(int[${u}] indices) { + int logical_row_start_offset = indices[0] * ${t}; + + float norm_factor = 0.0; + float max = _Max(indices); + for(int i=0; i<${t}; ++i) + { + norm_factor += exp(getColorAsFloat(${l.texture2D}(A, offsetToCoords(logical_row_start_offset + i, + ${s}, ${a}))) - max); + } + + return norm_factor; + }`;return{...Vl,output:{dims:n,type:e.type,textureType:0},shaderSource:f}},Dh=(i,e,o,t,r,n)=>{let[s,a]=i.calculateTextureWidthAndHeight(e.dims,0),u=e.dims.length;if(o<1||t<1)throw new Error("Logical row count N and feature count D must be greater than or equal to 1");if(r.length!==1||n.length!==1)throw new Error("Dimensionality of the intermediate results should be 1");if(r[0]!==o||n[0]!==o)throw new Error("Shape of the intermediate results should be equal to logical row count");let l=` + float process(int[${u}] indices) { + + // get offset of current logical tensor index from the 2-D texture coordinates (TexCoords) + int offset = coordsToOffset(TexCoords, ${s}, ${a}); + + //determine the logical row for this index + int logical_row_index[1]; + logical_row_index[0] = offset / ${t}; + + float norm_factor = _Norm(logical_row_index); + + // avoid possible division by 0 + // if norm_facor is 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setOutput(vec4 val) { + ${D(this.context.glContext.version).output} = val; + } + `,l="floatTextureSetRGBA";return n[l]=new O(u),n}getUnpackedOutputSamplingSnippet(o){let t=o.unpackedShape,r=[o.width,o.height],n={},s="getOutputCoords";switch(t.length){case 0:n[s]=this.getOutputScalarCoords();break;case 1:n[s]=this.getOutputUnpacked1DCoords(t,r);break;case 2:n[s]=this.getOutputUnpacked2DCoords(t,r);break;case 3:n[s]=this.getOutputUnpacked3DCoords(t,r);break;case 4:n[s]=this.getOutputUnpacked4DCoords(t,r);break;case 5:n[s]=this.getOutputUnpacked5DCoords(t,r);break;case 6:n[s]=this.getOutputUnpacked6DCoords(t,r);break;default:throw new Error(`Unsupported output dimensionality: ${t.length}`)}let u=` + void setOutput(float val) { + ${D(this.context.glContext.version).output} = vec4(val, 0, 0, 0); + } + `,l="floatTextureSetR";return n[l]=new O(u),n}getOutputScalarCoords(){return new O(` + int getOutputCoords() { + return 0; + } + `)}getOutputPacked1DCoords(o,t){let r=t,n="";return r[0]===1?(n=` + int getOutputCoords() { + return 2 * int(TexCoords.y * ${r[1]}.0); + } + `,new O(n)):r[1]===1?(n=` + int getOutputCoords() { + return 2 * int(TexCoords.x * ${r[0]}.0); + } + `,new O(n)):(n=` + int getOutputCoords() { + ivec2 resTexRC = ivec2(TexCoords.xy * + vec2(${r[0]}, ${r[1]})); + return 2 * (resTexRC.y * ${r[0]} + resTexRC.x); + } + `,new O(n))}getOutputPacked2DCoords(o,t){let r="";if(de.arraysEqual(o,t))return r=` + ivec2 getOutputCoords() { + return 2 * ivec2(TexCoords.xy * vec2(${t[0]}, ${t[1]})); + } + `,new O(r);let n=t,s=Math.ceil(o[1]/2);return r=` + ivec2 getOutputCoords() { + ivec2 resTexRC = ivec2(TexCoords.xy * + vec2(${n[0]}, ${n[1]})); + + int index = resTexRC.y * ${n[0]} + resTexRC.x; + + // reverse r and c order for packed texture + int r = imod(index, ${s}) * 2; + int c = 2 * (index / ${s}); + + return ivec2(r, c); + } + `,new O(r)}getOutputPacked3DCoords(o,t){let r=[t[0],t[1]],n=Math.ceil(o[2]/2),s=n*Math.ceil(o[1]/2),a=` + ivec3 getOutputCoords() { + ivec2 resTexRC = ivec2(TexCoords.xy * + vec2(${r[0]}, ${r[1]})); + int index = resTexRC.y * ${r[0]} + resTexRC.x; + + int b = index / ${s}; + index -= b * ${s}; + + // reverse r and c order for packed texture + int r = imod(index, ${n}) * 2; + int c = 2 * (index / ${n}); + + return ivec3(b, r, c); + } + `;return new O(a)}getOutputPackedNDCoords(o,t){let r=[t[0],t[1]],n=Math.ceil(o[o.length-1]/2),s=n*Math.ceil(o[o.length-2]/2),a=s,u="",l="b, r, c";for(let c=2;c =0;--l)s[l]=s[l+1]*o[l+1];let a=["r","c","d"],u=s.map((l,f)=>{let c=`int ${a[f]} = index / ${l}`,d=f===s.length-1?`int ${a[f+1]} = index - ${a[f]} * ${l}`:`index -= ${a[f]} * ${l}`;return`${c}; ${d};`}).join("");return r=` + ivec3 getOutputCoords() { + ivec2 resTexRC = ivec2(TexCoords.xy * + vec2(${t[0]}, ${t[1]})); + int index = resTexRC.y * ${t[0]} + resTexRC.x; + ${u} + return ivec3(r, c, d); + } + `,new O(r)}getOutputUnpacked4DCoords(o,t){let r="",n=o.length,s=null;n<2&&(s=[]),s=new Array(n-1),s[n-2]=o[n-1];for(let 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O(r)}getOutputUnpacked6DCoords(o,t){let r="",n=o.length,s=null;n<2&&(s=[]),s=new Array(n-1),s[n-2]=o[n-1];for(let l=n-3;l>=0;--l)s[l]=s[l+1]*o[l+1];let a=["r","c","d","d2","d3","d4"],u=s.map((l,f)=>{let c=`int ${a[f]} = index / ${l}`,d=f===s.length-1?`int ${a[f+1]} = index - ${a[f]} * ${l}`:`index -= ${a[f]} * ${l}`;return`${c}; ${d};`}).join("");return r=` + ivec6 getOutputCoords() { + ivec2 resTexRC = ivec2(TexCoords.xy * + vec2(${t[0]}, ${t[1]})); + int index = resTexRC.y * ${t[0]} + resTexRC.x; + ${u} + return ivec6(r, c, d, d2, d3, d4); + } + `,new O(r)}getCommonUtilFuncs(){let o={},t="uvFromFlat";o[t]=new O(` + vec2 uvFromFlat(int texNumR, int texNumC, int index) { + int texC = index / texNumR; + int texR = index - texC * texNumR; + // TODO: swap texR, texC order in following function so row is corresponding to u and column is corresponding to + // v. + return (vec2(texR, texC) + halfCR) / vec2(texNumR, texNumC); + } + `),t="packedUVfrom1D",o[t]=new O(` + vec2 packedUVfrom1D(int texNumR, int texNumC, int index) { + int texelIndex = index / 2; + int texR = texelIndex / texNumC; + int texC = texelIndex - texR * texNumC; + return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); + } + `),t="packedUVfrom2D",o[t]=new O(` + vec2 packedUVfrom2D(int texNumR, int texNumC, int texelsInLogicalRow, int row, int col) { + int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2); + int texR = texelIndex / texNumC; + int texC = texelIndex - texR * texNumC; + return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); + } + `),t="packedUVfrom3D",o[t]=new O(` + vec2 packedUVfrom3D(int texNumR, int texNumC, + int texelsInBatch, int texelsInLogicalRow, int b, + int row, int col) { + int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2); + int texR = index / texNumC; + int texC = index - texR * texNumC; + return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); + } + `),t="sampleTexture";let r=D(this.context.glContext.version);return o[t]=new O(` + float sampleTexture(sampler2D textureSampler, vec2 uv) { + return ${r.texture2D}(textureSampler, uv).r; + }`),o}getInputsSamplingSnippets(){let o={},t=this.context.outputTextureLayout;return this.context.programInfo.inputNames.forEach((r,n)=>{let s=this.context.inputTextureLayouts[n],a=Rr(r);s.isPacked?o[a]=this.getPackedSamplerFromInput(a,r,s):o[a]=this.getUnpackedSamplerFromInput(a,r,s);let u=ns(r);s.unpackedShape.length<=t.unpackedShape.length&&(s.isPacked?o[u]=this.getPackedSamplerAtOutputCoords(u,s,t,r):o[u]=this.getUnpackedSamplerAtOutputCoords(u,s,t,r))}),o}getPackedSamplerAtOutputCoords(o,t,r,n){let s=t.unpackedShape,a=r.unpackedShape,l=Rr(n),f=s.length,c=a.length,d=dt.getBroadcastDims(s,a),m=ht(c),y=c-f,g,T=Gt();f===0?g="":c<2&&d.length>=1?g="coords = 0;":g=d.map(wt=>`coords.${T[wt+y]} = 0;`).join(` +`);let _="";c<2&&f>0?_="coords":_=s.map((wt,mt)=>`coords.${T[mt+y]}`).join(", ");let w="return outputValue;",L=A.size(s)===1,Q=A.size(a)===1;if(f===1&&!L&&!Q)w=` + return vec4(outputValue.xy, outputValue.xy); + `;else if(L&&!Q)c===1?w=` + return vec4(outputValue.x, outputValue.x, 0., 0.); + `:w=` + return vec4(outputValue.x); + `;else if(d.length){let wt=f-2,mt=f-1;d.indexOf(wt)>-1&&d.indexOf(mt)>-1?w="return vec4(outputValue.x);":d.indexOf(wt)>-1?w="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":d.indexOf(mt)>-1&&(w="return vec4(outputValue.xx, outputValue.zz);")}let pt=` + int lastDim = coords.${T[c-1]}; + coords.${T[c-1]} = coords.${T[c-2]}; + coords.${T[c-2]} = lastDim; + `,Ht=` + vec4 ${o}() { + ${m} coords = getOutputCoords(); + ${pt} + ${g} + vec4 outputValue = ${l}(${_}); + ${w} + } + `;return new O(Ht,["coordinates.getOutputCoords"])}getUnpackedSamplerAtOutputCoords(o,t,r,n){let s=[r.width,r.height],a=[t.width,t.height],u=t.unpackedShape.length,l=r.unpackedShape.length,f=t.unpackedShape,c=r.unpackedShape,d=Rr(n);if(u===l&&de.arraysEqual(a,s)){let L=` + float ${o}() { + return sampleTexture(${n}, TexCoords); + } + `;return new O(L,["coordinates.sampleTexture"])}let m=ht(l),y=dt.getBroadcastDims(f,c),g=l-u,T,_=Gt();u===0?T="":l<2&&y.length>=1?T="coords = 0;":T=y.map(L=>`coords.${_[L+g]} = 0;`).join(` +`);let w="";l<2&&u>0?w="coords":w=t.unpackedShape.map((L,B)=>`coords.${_[B+g]}`).join(", ");let v=` + float ${o}() { + ${m} coords = getOutputCoords(); + ${T} + return ${d}(${w}); + } + `;return new O(v,["coordinates.getOutputCoords"])}getPackedSamplerFromInput(o,t,r){switch(r.unpackedShape.length){case 0:return this.getPackedSamplerScalar(o,t);case 1:return this.getPackedSampler1D(o,t,r);case 2:return this.getPackedSampler2D(o,t,r);case 3:return this.getPackedSampler3D(o,t,r);default:return this.getPackedSamplerND(o,t,r)}}getUnpackedSamplerFromInput(o,t,r){let n=r.unpackedShape;switch(n.length){case 0:return this.getUnpackedSamplerScalar(o,t,r);case 1:return this.getUnpackedSampler1D(o,t,r);case 2:return this.getUnpackedSampler2D(o,t,r);case 3:return this.getUnpackedSampler3D(o,t,r);case 4:return this.getUnpackedSampler4D(o,t,r);case 5:return this.getUnpackedSampler5D(o,t,r);case 6:return this.getUnpackedSampler6D(o,t,r);default:throw new Error(`Unsupported dimension ${n.length}-D`)}}getPackedSamplerScalar(o,t){let r=D(this.context.glContext.version),n=` + vec4 ${o}() { + return ${r.texture2D}(${t}, halfCR); + } + `;return new O(n)}getPackedSampler1D(o,t,r){let n=[r.width,r.height],s=[n[1],n[0]],a=D(this.context.glContext.version),l=`vec4 ${o}(int index) { + vec2 uv = packedUVfrom1D( + ${s[0]}, ${s[1]}, index); + return ${a.texture2D}(${t}, uv); + }`;return new O(l,["coordinates.packedUVfrom1D"])}getPackedSampler2D(o,t,r){let n=r.unpackedShape,s=[r.width,r.height],a=D(this.context.glContext.version),u=s[0],l=s[1];if(s!=null&&de.arraysEqual(n,s)){let y=`vec4 ${o}(int row, int col) { + vec2 uv = (vec2(col, row) + halfCR) / vec2(${l}.0, ${u}.0); + return ${a.texture2D}(${t}, uv); + }`;return new O(y)}let f=s,c=Math.ceil(n[1]/2),m=`vec4 ${o}(int row, int col) { + vec2 uv = packedUVfrom2D(${f[1]}, ${f[0]}, ${c}, row, col); + return ${a.texture2D}(${t}, uv); + }`;return new O(m,["coordinates.packedUVfrom2D"])}getPackedSampler3D(o,t,r){let n=r.unpackedShape,s=[r.width,r.height],a=[s[0],s[1]],u=D(this.context.glContext.version);if(n[0]===1){let g=n.slice(1),T=[1,2],_=ke(n,g),w=["b","row","col"],v=JSON.parse(JSON.stringify(r));v.unpackedShape=_;let L=this.getPackedSamplerFromInput(o,t,v),Q=`${L.routineBody} + vec4 ${o}(int b, int row, int col) { + return ${o}(${Be(w,T)}); + } `;return new O(Q,L.dependencies)}let l=a[0],f=a[1],c=Math.ceil(n[2]/2),d=c*Math.ceil(n[1]/2),y=`vec4 ${o}(int b, int row, int col) { + vec2 uv = packedUVfrom3D( + ${f}, ${l}, ${d}, ${c}, b, row, col); + return ${u.texture2D}(${t}, uv);}`;return new O(y,["coordinates.packedUVfrom3D"])}getPackedSamplerND(o,t,r){let n=r.unpackedShape,s=n.length,a=[r.width,r.height],u=D(this.context.glContext.version),l=[a[0],a[1]],f=l[1],c=l[0],d=Math.ceil(n[s-1]/2),m=d*Math.ceil(n[s-2]/2),y="int b, int row, int col",g=`b * ${m} + (row / 2) * ${d} + (col / 2)`;for(let w=2;w {let n=this.context.inputTextureLayouts[r],a=(n.unpackedShape.length>0?n.unpackedShape:n.shape).length,u=`_${t}`;o[u]=new O(this.getValueFromSingle(t,a,n.width,n.height,!1),[`shapeUtils.indicesToOffset${u}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"]),u=u+"_T",o[u]=new O(this.getValueFromSingle(t,a,n.width,n.height,!0),[`shapeUtils.indicesToOffset${u}`,"coordinates.offsetToCoords","fragcolor.getColorAsFloat"])}),o}getValueFromSingle(o,t,r,n,s){let a=`_${o}`;s&&(a=a+"_T");let u=D(this.context.glContext.version);return` + float ${a}(int m[${t}]) { + int offset = indicesToOffset${a}(m); + vec2 coords = offsetToCoords(offset, ${r}, ${n}); + float value = getColorAsFloat(${u.texture2D}(${o}, coords)); + return value; + } + `}getPackedValueFrom(o,t,r,n,s){let a=`_${o}_Pack`;s&&(a=a+"_T");let u=D(this.context.glContext.version);return` + vec4 ${a}(int m[${t}]) { + int offset = indicesToOffset_${o}(m); + vec2 coords = offsetToCoords(offset, ${r}, ${n}); + return ${u.texture2D}(${o}, coords); + } + `}}});var tn,gf=x(()=>{"use strict";Xt();tn=class i extends At{constructor(e){super(e)}getFunctions(){return{...this.encodeFloat32(),...this.decodeFloat32()}}getCustomTypes(){return{}}encodeFloat32(){return{encode:new O(`highp vec4 encode(highp float f) { + return vec4(f, 0.0, 0.0, 0.0); + } + `)}}decodeFloat32(){return{decode:new O(`highp float decode(highp vec4 rgba) { + return rgba.r; + } + `)}}encodeUint8(){let e=i.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{encode:new O(` + highp vec4 encode(highp float f) { + highp float F = abs(f); + highp float Sign = step(0.0,-f); + highp float Exponent = floor(log2(F)); + highp float Mantissa = (exp2(- Exponent) * F); + Exponent = floor(log2(F) + 127.0) + floor(log2(Mantissa)); + highp vec4 rgba; + rgba[0] = 128.0 * Sign + floor(Exponent*exp2(-1.0)); + rgba[1] = 128.0 * mod(Exponent,2.0) + mod(floor(Mantissa*128.0),128.0); + rgba[2] = floor(mod(floor(Mantissa*exp2(23.0 -8.0)),exp2(8.0))); + rgba[3] = floor(exp2(23.0)*mod(Mantissa,exp2(-15.0))); + ${e} + rgba = rgba / 255.0; // values need to be normalized to [0,1] + return rgba; + } + `)}}decodeUint8(){let e=i.isLittleEndian()?"rgba.rgba=rgba.abgr;":"";return{decode:new O(` + highp float decode(highp vec4 rgba) { + rgba = rgba * 255.0; // values need to be de-normalized from [0,1] to [0,255] + ${e} + highp float Sign = 1.0 - step(128.0,rgba[0])*2.0; + highp float Exponent = 2.0 * mod(rgba[0],128.0) + step(128.0,rgba[1]) - 127.0; + highp float Mantissa = mod(rgba[1],128.0)*65536.0 + rgba[2]*256.0 +rgba[3] + float(0x800000); + highp float Result = Sign * exp2(Exponent) * (Mantissa * exp2(-23.0 )); + return Result; + } + `)}}static isLittleEndian(){let e=new ArrayBuffer(4),o=new Uint32Array(e),t=new Uint8Array(e);if(o[0]=3735928559,t[0]===239)return!0;if(t[0]===222)return!1;throw new Error("unknown endianness")}}});var en,xf=x(()=>{"use strict";Xt();X();en=class extends At{constructor(e){super(e)}getFunctions(){return{...this.setFragColor(),...this.getColorAsFloat()}}getCustomTypes(){return{}}setFragColor(){let e=D(this.context.glContext.version);return{setFragColor:new O(` + void setFragColor(float value) { + ${e.output} = encode(value); + } + `,["encoding.encode"])}}getColorAsFloat(){return{getColorAsFloat:new O(` + float getColorAsFloat(vec4 color) { + return decode(color); + } + `,["encoding.decode"])}}}});var rn,Tf=x(()=>{"use strict";Xt();rn=class i extends At{constructor(e){super(e)}getFunctions(){return{...this.bcastIndex(),...this.bcastMatmulIndex(),...this.offsetToIndices(),...this.indicesToOffset(),...this.incrementIndices()}}getCustomTypes(){return{}}bcastIndex(){let e=this.context.outputTextureLayout.shape.length,o={};return this.context.programInfo.inputNames.forEach((t,r)=>{let n=this.context.inputTextureLayouts[r].unpackedShape;if(n.length<=e){let s=n.length,a=e-s,u=`bcastIndices_${t}`,l="";for(let c=0;c {let 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r=[];for(let n=0;n {let r=this.context.inputTextureLayouts[t].shape,n=r.length,s=`incrementIndices_${o}`,a="";for(let l=0;l = 0; --i) { + if(i > axis) continue; + indices[i] += 1; + if(indices[i] < shape[i]) { + break; + } + indices[i] = 0; + } + } + `;e[s]=new O(u)}),e}}});var nn,wf=x(()=>{"use strict";Xt();nn=class extends At{constructor(e){super(e)}getCustomTypes(){return{}}getFunctions(){return{...this.binaryVecFunctions(),...this.copyVec(),...this.setVecItem(),...this.getVecItem()}}binaryVecFunctions(){let o=this.context.outputTextureLayout.shape.length,t={add:"+=",sub:"-=",mul:"*=",div:"/="},r={};for(let n in t){let s=`${n}Vec`,a="";for(let l=0;l {"use strict";yf();gf();xf();Tf();wf();Ro={encoding:tn,fragcolor:en,vec:nn,shapeUtils:rn,coordinates:Qr}});var on,If=x(()=>{"use strict";Xt();mf();vf();X();on=class{constructor(e,o,t,r){this.libs={};this.glslLibRoutineDependencyGraph={};this.context=new Ur(e,o,t,r),Object.keys(Ro).forEach(s=>{let a=new 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HTMLCanvasElement<"u"&&l instanceof HTMLCanvasElement||l instanceof OffscreenCanvas?l.getContext("2d"):null;if(n){let l=u();l.width=e.width,l.height=e.height;let c=d(l);if(c!=null){let p=e.height,h=e.width;if(t!==void 0&&t.resizedHeight!==void 0&&t.resizedWidth!==void 0&&(p=t.resizedHeight,h=t.resizedWidth),t!==void 0){if(a=t,t.tensorFormat!==void 0)throw new Error("Image input config format must be RGBA for HTMLImageElement");a.tensorFormat="RGBA",a.height=p,a.width=h}else a.tensorFormat="RGBA",a.height=p,a.width=h;c.drawImage(e,0,0),s=c.getImageData(0,0,h,p).data}else throw new Error("Can not access image data")}else if(r){let l,c;if(t!==void 0&&t.resizedWidth!==void 0&&t.resizedHeight!==void 0?(l=t.resizedHeight,c=t.resizedWidth):(l=e.height,c=e.width),t!==void 0&&(a=t),a.format="RGBA",a.height=l,a.width=c,t!==void 0){let p=u();p.width=c,p.height=l;let h=d(p);if(h!=null)h.putImageData(e,0,0),s=h.getImageData(0,0,c,l).data;else throw new Error("Can not access image data")}else 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BigInt64Array<"u"&&BigInt64Array.from,t=typeof BigUint64Array<"u"&&BigUint64Array.from,n=typeof Float16Array<"u"&&Float16Array.from;e&&(He.set("int64",BigInt64Array),rt.set(BigInt64Array,"int64")),t&&(He.set("uint64",BigUint64Array),rt.set(BigUint64Array,"uint64")),n?(He.set("float16",Float16Array),rt.set(Float16Array,"float16")):He.set("float16",Uint16Array)}}});var Tr,Cr,Ar=k(()=>{"use strict";St();Tr=e=>{let t=1;for(let n=0;n {switch(e.location){case"cpu":return new me(e.type,e.data,t);case"cpu-pinned":return new me({location:"cpu-pinned",data:e.data,type:e.type,dims:t});case"texture":return new me({location:"texture",texture:e.texture,type:e.type,dims:t});case"gpu-buffer":return new me({location:"gpu-buffer",gpuBuffer:e.gpuBuffer,type:e.type,dims:t});case"ml-tensor":return new me({location:"ml-tensor",mlTensor:e.mlTensor,type:e.type,dims:t});default:throw new Error(`tensorReshape: tensor location ${e.location} is not supported`)}}});var me,St=k(()=>{"use strict";gr();vr();Ir();Ar();me=class{constructor(t,n,r){Sr();let o,i;if(typeof t=="object"&&"location"in t)switch(this.dataLocation=t.location,o=t.type,i=t.dims,t.location){case"cpu-pinned":{let a=He.get(o);if(!a)throw new TypeError(`unsupported type "${o}" to create tensor from pinned buffer`);if(!(t.data instanceof a))throw new TypeError(`buffer should be of type ${a.name}`);this.cpuData=t.data;break}case"texture":{if(o!=="float32")throw new TypeError(`unsupported type "${o}" to create tensor from texture`);this.gpuTextureData=t.texture,this.downloader=t.download,this.disposer=t.dispose;break}case"gpu-buffer":{if(o!=="float32"&&o!=="float16"&&o!=="int32"&&o!=="int64"&&o!=="uint32"&&o!=="uint8"&&o!=="bool"&&o!=="uint4"&&o!=="int4")throw new TypeError(`unsupported type "${o}" to create tensor from gpu buffer`);this.gpuBufferData=t.gpuBuffer,this.downloader=t.download,this.disposer=t.dispose;break}case"ml-tensor":{if(o!=="float32"&&o!=="float16"&&o!=="int32"&&o!=="int64"&&o!=="uint32"&&o!=="uint64"&&o!=="int8"&&o!=="uint8"&&o!=="bool")throw new TypeError(`unsupported type "${o}" to create tensor from MLTensor`);this.mlTensorData=t.mlTensor,this.downloader=t.download,this.disposer=t.dispose;break}default:throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`)}else{let a,u;if(typeof t=="string")if(o=t,u=r,t==="string"){if(!Array.isArray(n))throw new TypeError("A string tensor's data must be a string array.");a=n}else{let d=He.get(t);if(d===void 0)throw new TypeError(`Unsupported tensor type: ${t}.`);if(Array.isArray(n)){if(t==="float16"&&d===Uint16Array||t==="uint4"||t==="int4")throw new TypeError(`Creating a ${t} tensor from number array is not supported. 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