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Nightly and release tests on main/release branch #888

Nightly and release tests on main/release branch

Nightly and release tests on main/release branch #888

Triggered via schedule February 25, 2025 00:25
Status Failure
Total duration 1h 40m 41s
Artifacts 48

nightly_tests.yml

on: schedule
Setup Torch Pipelines CUDA Slow Tests Matrix
2m 31s
Setup Torch Pipelines CUDA Slow Tests Matrix
Torch tests on big GPU
6m 45s
Torch tests on big GPU
Torch Minimum Version CUDA Tests
11m 52s
Torch Minimum Version CUDA Tests
Nightly Flax TPU Tests
21m 56s
Nightly Flax TPU Tests
Nightly ONNXRuntime CUDA tests on Ubuntu
6m 36s
Nightly ONNXRuntime CUDA tests on Ubuntu
Matrix: Torch quantization nightly tests
Matrix: Nightly Torch CUDA Tests
Matrix: Nightly Torch Pipelines CUDA Tests
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32 errors and 31 warnings
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.
Torch tests on big GPU
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (hunyuandit)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (hunyuan_video)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (i2vgen_xl)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (dit)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (cogvideo)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (kolors)
Process completed with exit code 1.
Torch quantization nightly tests (gguf, gguf)
Process completed with exit code 1.
Nightly Torch CUDA Tests (models)
Process completed with exit code 1.
Torch Minimum Version CUDA Tests
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (latent_diffusion)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (kandinsky)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (kandinsky3)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (kandinsky2_2)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (marigold)
Process completed with exit code 1.
Torch quantization nightly tests (bitsandbytes, bnb)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (shap_e)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (stable_cascade)
Process completed with exit code 1.
Torch quantization nightly tests (torchao, torchao)
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 (controlnet)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (text_to_video_synthesis)
Process completed with exit code 1.
Nightly Torch CUDA Tests (lora)
Process completed with exit code 1.
Nightly Torch Pipelines CUDA Tests (stable_diffusion_2)
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 (stable_diffusion)
Process completed with exit code 1.
Nightly Torch CUDA Tests (single_file)
The self-hosted runner: aws-g4dn-2xlarge-use1-public-80-dmnvc-runner-9v7jp 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.
Nightly ONNXRuntime CUDA tests on Ubuntu
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (audioldm)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (audioldm2)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Torch tests on big GPU
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (hunyuandit)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (hunyuan_video)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (i2vgen_xl)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (dit)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (cogvideo)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (kolors)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Torch quantization nightly tests (gguf, gguf)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch CUDA Tests (models)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Torch Minimum Version CUDA Tests
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (latent_diffusion)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (kandinsky)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (kandinsky3)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (kandinsky2_2)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (marigold)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Torch quantization nightly tests (bitsandbytes, bnb)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (shap_e)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (stable_cascade)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Torch quantization nightly tests (torchao, torchao)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (ip_adapters)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (sana)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Flax TPU Tests
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (controlnet)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (text_to_video_synthesis)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch CUDA Tests (lora)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (stable_diffusion_2)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (stable_diffusion_xl)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0
Nightly Torch Pipelines CUDA Tests (stable_diffusion)
This job failure may be caused by using an out of date self-hosted runner. You are currently using runner version 2.321.0. Please update to the latest version 2.322.0

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