📑 Simple Example¶
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🏖️ Setup environment1 (see Shell Environment):
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🐍 Install
ezpz(see Python Library): -
🚀 Launch any
*.py2 from python (see Launch):-
Output:
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#[🐍 aurora_nre_models_frameworks-2025.0.0](👻 aurora_nre_models_frameworks-2025.0.0) #[05/01/25 @ 10:07:09][x4206c4s1b0n0][/f/d/f/p/s/ezpz][🌱 main][📦📝🤷✓] ; python3 -m ezpz.test [W501 10:07:15.372342214 OperatorEntry.cpp:155] Warning: Warning only once for all operators, other operators may also be overridden. Overriding a previously registered kernel for the same operator and the same dispatch key operator: aten::_cummax_helper(Tensor self, Tensor(a!) values, Tensor(b!) indices, int dim) -> () registered at /build/pytorch/build/aten/src/ATen/RegisterSchema.cpp:6 dispatch key: XPU previous kernel: registered at /build/pytorch/build/aten/src/ATen/RegisterCPU.cpp:30476 new kernel: registered at /build/intel-pytorch-extension/build/Release/csrc/gpu/csrc/aten/generated/ATen/RegisterXPU.cpp:2971 (function operator()) [2025-05-01 10:07:20,655] [INFO] [real_accelerator.py:239:get_accelerator] Setting ds_accelerator to xpu (auto detect) [2025-05-01 10:07:23][I][ezpz/launch:95] Job ID: 4575165 [2025-05-01 10:07:23][I][ezpz/launch:101] Node file: /var/spool/pbs/aux/4575165.aurora-pbs-0001.hostmgmt.cm.aurora.alcf.anl.gov [2025-05-01 10:07:23][I][ezpz/launch:116] Building command to execute by piecing together: (1) ['launch_cmd'] + (2) ['python'] + (3) ['cmd_to_launch'] 1. ['launch_cmd']: mpiexec --verbose --envall --np=24 --ppn=12 --hostfile=/var/spool/pbs/aux/4575165.aurora-pbs-0001.hostmgmt.cm.aurora.alcf.anl.gov --cpu-bind=depth --depth=8 2. ['python']: /lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/venvs/aurora_nre_models_frameworks-2025.0.0/bin/python3 3. ['cmd_to_launch']: -m ezpz.test_dist [2025-05-01 10:07:23][I][ezpz/launch:134] Took: 0.62 seconds to build command. [2025-05-01 10:07:23][I][ezpz/launch:137] Evaluating: mpiexec --verbose --envall --np=24 --ppn=12 --hostfile=/var/spool/pbs/aux/4575165.aurora-pbs-0001.hostmgmt.cm.aurora.alcf.anl.gov --cpu-bind=depth --depth=8 /lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/venvs/aurora_nre_models_frameworks-2025.0.0/bin/python3 -m ezpz.test_dist [2025-05-01 10:07:23][I][ezpz/launch:159] Filtering for Aurora-specific messages. To view list of filters, run with `EZPZ_LOG_LEVEL=DEBUG` Disabling local launch: multi-node application Connected to tcp://x4206c4s2b0n0.hostmgmt2206.cm.aurora.alcf.anl.gov:7919 Launching application 0010057d-0cb6-455d-94ae-505529c389cd [2025-05-01 10:07:36][I][ezpz/dist:554] Using get_torch_device_type()='xpu' with backend='ccl' [2025-05-01 10:07:36][I][ezpz/dist:987] ['x4206c4s2b0n0'][10/23] [2025-05-01 10:07:36][I][ezpz/dist:987] ['x4206c4s2b0n0'][11/23] [2025-05-01 10:07:36][I][ezpz/dist:987] ['x4206c4s2b0n0'][ 6/23] [2025-05-01 10:07:36][I][ezpz/dist:987] ['x4206c4s2b0n0'][ 7/23] [2025-05-01 10:07:36][I][ezpz/dist:987] ['x4206c4s2b0n0'][ 3/23] [2025-05-01 10:07:36][I][ezpz/dist:987] ['x4206c4s2b0n0'][ 8/23] [2025-05-01 10:07:36][I][ezpz/dist:987] ['x4206c4s2b0n0'][ 5/23] [2025-05-01 10:07:37][I][ezpz/dist:987] ['x4206c4s2b0n0'][ 9/23] [2025-05-01 10:07:37][I][ezpz/dist:987] ['x4206c4s2b0n0'][ 1/23] [2025-05-01 10:07:37][I][ezpz/dist:987] ['x4206c4s2b0n0'][ 2/23] [2025-05-01 10:07:37][I][ezpz/dist:987] ['x4206c4s2b0n0'][ 4/23] [2025-05-01 10:07:38][I][ezpz/dist:987] ['x4206c4s1b0n0'][12/23] [2025-05-01 10:07:38][I][ezpz/dist:987] ['x4206c4s1b0n0'][16/23] [2025-05-01 10:07:38][I][ezpz/dist:987] ['x4206c4s1b0n0'][15/23] [2025-05-01 10:07:38][I][ezpz/dist:987] ['x4206c4s1b0n0'][13/23] [2025-05-01 10:07:38][I][ezpz/dist:987] ['x4206c4s1b0n0'][14/23] [2025-05-01 10:07:38][I][ezpz/dist:987] ['x4206c4s1b0n0'][20/23] [2025-05-01 10:07:38][I][ezpz/dist:987] ['x4206c4s1b0n0'][21/23] [2025-05-01 10:07:38][I][ezpz/dist:987] ['x4206c4s1b0n0'][23/23] [2025-05-01 10:07:38][I][ezpz/dist:987] ['x4206c4s1b0n0'][22/23] [2025-05-01 10:07:38][I][ezpz/dist:987] ['x4206c4s1b0n0'][17/23] [2025-05-01 10:07:38][I][ezpz/dist:987] ['x4206c4s1b0n0'][18/23] [2025-05-01 10:07:38][I][ezpz/dist:987] ['x4206c4s1b0n0'][19/23] [2025-05-01 10:07:38][I][ezpz/dist:936] Using device='xpu' with backend='ddp' + 'ccl' for distributed training. [2025-05-01 10:07:38][I][ezpz/dist:987] ['x4206c4s2b0n0'][ 0/23] 2025:05:01-10:07:38:(49751) |CCL_WARN| value of CCL_LOG_LEVEL changed to be error (default:warn) [2025-05-01 10:07:39][I][ezpz/test_dist:398:__main__] model= Network( (layers): Sequential( (0): Linear(in_features=128, out_features=1024, bias=True) (1): Linear(in_features=1024, out_features=512, bias=True) (2): Linear(in_features=512, out_features=256, bias=True) (3): Linear(in_features=256, out_features=128, bias=True) (4): Linear(in_features=128, out_features=128, bias=True) ) ) [2025-05-01 10:07:50][I][ezpz/dist:1185] Setting up wandb from rank=0 [2025-05-01 10:07:50][I][ezpz/dist:1186] Using=WB PROJECT=ezpz.test_dist wandb: Currently logged in as: foremans (aurora_gpt) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin wandb: Tracking run with wandb version 0.19.10 wandb: Run data is saved locally in /lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/wandb/run-20250501_100750-53eys83m wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run quiet-frog-1566 wandb: ⭐️ View project at https://wandb.ai/aurora_gpt/ezpz.test_dist wandb: 🚀 View run at https://wandb.ai/aurora_gpt/ezpz.test_dist/runs/53eys83m [2025-05-01 10:07:51][I][ezpz/dist:1214] W&B RUN=[quiet-frog-1566](https://wandb.ai/aurora_gpt/ezpz.test_dist/runs/53eys83m) [2025-05-01 10:07:51][I][ezpz/dist:1254] Running on machine='Aurora' [2025-05-01 10:07:51][I][ezpz/test_dist:221:__main__] config: { "backend": "DDP", "batch_size": 64, "cp": 1, "dtype": "bfloat16", "input_size": 128, "layer_sizes": [ 1024, 512, 256, 128 ], "log_freq": 1, "output_size": 128, "pp": 1, "print_freq": 10, "pyinstrument_profiler": false, "tp": 1, "train_iters": 100, "warmup": 2 } [2025-05-01 10:07:51][I][ezpz/test_dist:194:__main__] Warmup complete at step 2 [2025-05-01 10:07:51][I][ezpz/test_dist:172:__main__] iter=10 loss=736.000000 dtf=0.000657 dtb=0.001384 [2025-05-01 10:07:51][I][ezpz/test_dist:172:__main__] iter=20 loss=676.000000 dtf=0.000563 dtb=0.001285 [2025-05-01 10:07:51][I][ezpz/test_dist:172:__main__] iter=30 loss=604.000000 dtf=0.000551 dtb=0.001301 [2025-05-01 10:07:51][I][ezpz/test_dist:172:__main__] iter=40 loss=564.000000 dtf=0.000564 dtb=0.001276 [2025-05-01 10:07:51][I][ezpz/test_dist:172:__main__] iter=50 loss=520.000000 dtf=0.000564 dtb=0.001240 [2025-05-01 10:07:51][I][ezpz/test_dist:172:__main__] iter=60 loss=496.000000 dtf=0.000557 dtb=0.001272 [2025-05-01 10:07:52][I][ezpz/test_dist:172:__main__] iter=70 loss=466.000000 dtf=0.000548 dtb=0.001269 [2025-05-01 10:07:52][I][ezpz/test_dist:172:__main__] iter=80 loss=432.000000 dtf=0.000550 dtb=0.001254 [2025-05-01 10:07:52][I][ezpz/test_dist:172:__main__] iter=90 loss=410.000000 dtf=0.000523 dtb=0.001193 [2025-05-01 10:07:53][I][ezpz/history:721] Saving iter plot to: /lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/outputs/ezpz.test_dist/ezpz.test_dist/plots/mplot [2025-05-01 10:07:53][I][ezpz/history:721] Saving loss plot to: /lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/outputs/ezpz.test_dist/ezpz.test_dist/plots/mplot [2025-05-01 10:07:54][I][ezpz/history:721] Saving dtf plot to: /lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/outputs/ezpz.test_dist/ezpz.test_dist/plots/mplot [2025-05-01 10:07:54][I][ezpz/history:721] Saving dtb plot to: /lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/outputs/ezpz.test_dist/ezpz.test_dist/plots/mplot [2025-05-01 10:07:54][I][ezpz/history:618] Saving tplots to /lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/outputs/ezpz.test_dist/ezpz.test_dist/plots/tplot loss [2025-05-01-100754] ┌──────────────────────────────────────────────────────┐ 1528┤▌ │ │▌ │ 1337┤▌ │ │▚ │ │▐ │ 1146┤▐ │ │ ▌ │ 955┤ ▌ │ │ ▐ │ 764┤ ▚▖ │ │ ▝▀▄▄▖▗▖ │ │ ▝▘▝▚▚▄▄▄▄ │ 573┤ ▀▀▀▀▀▀▄▀▄▄ ▄ │ │ ▀ ▀▀▀▀▀▀▚▄▄▄▄▄▄▖▗ │ 382┤ ▝▘▀▀▀▀▀▀▄▄▄▚▄│ └┬──┬──┬──┬──┬────┬──┬──┬──┬───┬───┬───┬──┬────┬──┬──┬─┘ 1 7 12 17 22 31 38 42 48 55 62 69 76 85 89 96 loss iter text saved in /lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/outputs/ezpz.test_dist/ezpz.test_dist/plots/tplot/loss.txt dtf [2025-05-01-100754] ┌──────────────────────────────────────────────────┐ 0.000754┤ ▗▌ │ │ ▐▌ │ 0.000716┤ ▐▌ │ │▌ ▐▌ │ │▌ ▐▌ ▟ │ 0.000677┤▐ ▐▚ █ │ │▐▟ ▞▐ ▗ █ ▖ │ 0.000639┤ ▘█ ▐▞▌ ▞▌ ▗▚█ █ ▗▜ ▖ ▐▌ ▖ ▗▌ ▗▌ │ │ █ ▐▌▌ ▌▐ ▐▐█ ▛▞▜ ▐ █▙▀█▌▐▌ ▐▙▚ ▖▐▝▀▖ ▗ │ 0.000600┤ █ ▘▌ ▌▝▄▐▐█ ▌ ▐ ▐ ▝▜ █▌▐▌ ▐█▐▐▌▐ ▌ █ │ │ █ ▚ ▌ ▐▐▐█ ▌ ▝▖ ▌ █▌▐▌ ▐█ ▀▌▐ ▌ █ │ │ ▜ ▐ ▗▌ ▐▐▐▛▄▖ ▌ ▌ ▌ █▌▟▌▄▐█ ▌▐ ▌ █ │ 0.000562┤ ▀▘▘ ▝▌▝▌ ▐▞▀▘ ▚▞▘ ▜▝█▝▝▟▜ ▚▐ ▌ ▌▚▖▗▖│ │ ▝▌ ▝▌ ▝ ▝ ▀ ▚▖▗▌ ▐▌▌│ 0.000523┤ ▝▀▌ ▘▝│ └┬──┬────┬──┬───┬──┬──┬──┬───┬──┬───┬──┬────┬────┬─┘ 1 7 17 22 31 36 42 48 55 62 69 76 85 96 dtf iter text saved in /lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/outputs/ezpz.test_dist/ezpz.test_dist/plots/tplot/dtf.txt dtf [2025-05-01-100754] ┌──────────────────────────────────────────────────────┐ 27.0┤ ██████ │ │ ██████ │ 22.5┤ ██████ │ │ ██████ │ │ ██████ █████ │ 18.0┤ ██████ █████ │ │ ██████ ██████████ │ 13.5┤ ██████ ██████████ │ │████████████████ ██████████ │ 9.0┤████████████████ ██████████ │ │████████████████████████████████ │ │████████████████████████████████ │ 4.5┤████████████████████████████████ │ │██████████████████████████████████████████████████████│ 0.0┤██████████████████████████████████████████████████████│ └┬────────────┬─────────────┬────────────┬────────────┬┘ 0.000513 0.000576 0.000639 0.000702 0.000765 freq dtf text saved in /lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/outputs/ezpz.test_dist/ezpz.test_dist/plots/tplot/dtf-hist.txt dtb [2025-05-01-100754] ┌───────────────────────────────────────────────────┐ 0.00193┤ ▗▌ │ │ ▐▌ │ 0.00181┤ ▐▌ │ │ ▐▌ │ │ ▐▌ │ 0.00168┤ ▐▌ │ │ ▐▌ ▖ │ 0.00156┤ ▐▌ ▐▌ │ │ ▐▝▖ ▟ ▖ ▖ ▐▌ ▗ │ 0.00143┤▟ ▐ ▝▄ ▗▗ █ ▖ ▐▌▐▌ ▐▌ ▛▖▗▌ │ │ ▜▗▟ ▐ ▌▘▌▛▄ ▐▚ ▐▝▞▌ ▗▚▟▝▜ ▌▚▐▌▗▌ │ │ ▐▌ ▐ ▌ ▚▌▐ ▐▐ ▗▐ ▌ ▐ ▐ ▗▚ ▐ █▌▌▐ │ 0.00131┤ ▘ ▝▄▗▌ ▐▌ ▚▟ ▌█▐ ▌ ▞ ▐▗ ▟▐ ▞ ▜▌▌▐ │ │ ▘ ▘ ▝▌▘ ▝▀▜ ▀▞ ▀▀ ▝ ▝▖ ▞▄▄▞▚│ 0.00119┤ ▚▄▄▌ ▝▌ │ └┬──┬────┬──┬────┬────┬──┬───┬───┬──┬──┬──┬──┬────┬─┘ 1 7 17 22 31 42 48 55 62 69 74 80 85 96 dtb iter text saved in /lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/outputs/ezpz.test_dist/ezpz.test_dist/plots/tplot/dtb.txt dtb [2025-05-01-100754] ┌──────────────────────────────────────────────────────┐ 31.0┤ ██████ │ │ ██████ │ 25.8┤ ██████ │ │ ██████ │ │ ██████ │ 20.7┤████████████████ │ │██████████████████████ │ 15.5┤██████████████████████ │ │██████████████████████ │ 10.3┤██████████████████████ │ │██████████████████████ │ │██████████████████████ │ 5.2┤███████████████████████████ │ │███████████████████████████ │ 0.0┤████████████████████████████████ █████│ └┬────────────┬─────────────┬────────────┬────────────┬┘ 0.00115 0.00135 0.00156 0.00176 0.00196 freq dtb text saved in /lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/outputs/ezpz.test_dist/ezpz.test_dist/plots/tplot/dtb-hist.txt [2025-05-01 10:07:54][I][ezpz/test_dist:188:__main__] dataset=<xarray.Dataset> Size: 3kB Dimensions: (draw: 97) Coordinates: * draw (draw) int64 776B 0 1 2 3 4 5 6 7 8 ... 88 89 90 91 92 93 94 95 96 Data variables: iter (draw) int64 776B 3 4 5 6 7 8 9 10 11 ... 92 93 94 95 96 97 98 99 loss (draw) float32 388B 1.528e+03 1.248e+03 1.072e+03 ... 382.0 392.0 dtf (draw) float64 776B 0.0007091 0.0006719 ... 0.0005526 0.0005336 dtb (draw) float64 776B 0.001446 0.00146 0.001422 ... 0.001251 0.001238 [2025-05-01 10:07:54][I][ezpz/test_dist:467:__main__] Took: 18.05 seconds wandb: wandb: 🚀 View run quiet-frog-1566 at: https://wandb.ai/aurora_gpt/ezpz.test_dist/runs/53eys83m wandb: Find logs at: ../../../../../../lus/flare/projects/datascience/foremans/projects/saforem2/ezpz/wandb/run-20250501_100750-53eys83m/logs Application 0010057d resources: utime=874s stime=172s maxrss=3840744KB inblock=378318 oublock=1080 minflt=10297842 majflt=32240 nvcsw=292681 nivcsw=1232922 [2025-05-01 10:07:57][I][ezpz/launch:170] Command took 34.03 seconds to run. took: 0h:00m:48s
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😎 2 ez.
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This will 🪄 automagically source
ezpz/bin/utils.sh, and (&&) callezpz_setup_envto setup your python environment. ↩ -
Technically, we're launching (
-m ezpz.launch) theezpz/test_dist.pya module (-m), in this example. ↩