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Nightly and release tests on main/release branch

Nightly and release tests on main/release branch #966

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Nightly and release tests on main/release branch

Nightly and release tests on main/release branch #966

Triggered via schedule May 14, 2025 00:27
@anton-lanton-l
⁠ 7e33531
main
Status Failure
Total duration 1h 42m 54s
Artifacts 55

nightly_tests.yml

on: schedule
Setup Torch Pipelines CUDA Slow Tests Matrix
2m 29s
Setup Torch Pipelines CUDA Slow Tests Matrix
PyTorch Compile CUDA tests
18m 43s
PyTorch Compile CUDA tests
Torch tests on big GPU
13m 39s
Torch tests on big GPU
Torch Minimum Version CUDA Tests
11m 36s
Torch Minimum Version CUDA Tests
Nightly Flax TPU Tests
22m 10s
Nightly Flax TPU Tests
Nightly ONNXRuntime CUDA tests on Ubuntu
6m 51s
Nightly ONNXRuntime CUDA tests on Ubuntu
Torch quantization nightly tests
2m 41s
Torch quantization nightly tests
Matrix: Torch quantization nightly tests
Matrix: Nightly Torch CUDA Tests
Matrix: Nightly Torch Pipelines CUDA Tests
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36 errors
Torch quantization nightly tests
Process completed with exit code 1.
Nightly ONNXRuntime CUDA tests on Ubuntu
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (audioldm)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (audioldm2)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (hidream_image)
Process completed with exit code 5.
Nightly Torch Pipelines CUDA Tests (hunyuandit)
Process completed with exit code 1.
Torch quantization nightly tests (bitsandbytes, bnb, peft)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (hunyuan_video)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (cogvideo)
Process completed with exit code 1.
Torch Minimum Version CUDA Tests
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (kolors)
Process completed with exit code 1.
Torch tests on big GPU
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (ltx)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (kandinsky3)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (kandinsky)
Process completed with exit code 1.
Torch quantization nightly tests (gguf, gguf, peft)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (kandinsky2_2)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (omnigen)
Process completed with exit code 1.
Torch quantization nightly tests (torchao, torchao)
Process completed with exit code 1.
Torch quantization nightly tests (optimum_quanto, quanto)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (marigold)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (stable_cascade)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (shap_e)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (ip_adapters)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (sana)
Process completed with exit code 1.
Nightly Flax TPU Tests
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (versatile_diffusion)
Process completed with exit code 5.
Nightly Torch Pipelines CUDA Tests (controlnet)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (wan)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (stable_diffusion_xl)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (text_to_video_synthesis)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (stable_diffusion_2)
Process completed with exit code 1.
Nightly Torch CUDA Tests (lora)
Process completed with exit code 1.
Nightly Torch CUDA Tests (models)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (stable_diffusion)
Process completed with exit code 1.
Nightly Torch CUDA Tests (single_file)
The self-hosted runner: aws-g4dn-2xlarge-use1-public-80-rk7p2-runner-fvtdr lost communication with the server. Verify the machine is running and has a healthy network connection. Anything in your workflow that terminates the runner process, starves it for CPU/Memory, or blocks its network access can cause this error.

Artifacts

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