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[CI] Fix for failing IP Adapter test in Fast GPU PR tests #26

[CI] Fix for failing IP Adapter test in Fast GPU PR tests

[CI] Fix for failing IP Adapter test in Fast GPU PR tests #26

Triggered via pull request February 27, 2025 03:47
Status Failure
Total duration 33m 44s
Artifacts 15

pr_tests_gpu.yml

on: pull_request
Setup Torch Pipelines CUDA Slow Tests Matrix
1m 42s
Setup Torch Pipelines CUDA Slow Tests Matrix
Examples PyTorch CUDA tests on Ubuntu pip uninstall transformers -y && python -m uv pip install -...
33m 36s
Examples PyTorch CUDA tests on Ubuntu pip uninstall transformers -y && python -m uv pip install -...
Matrix: Torch CUDA Tests
Matrix: Torch Pipelines CUDA Tests
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5 errors and 5 warnings
Torch Pipelines CUDA Tests (ip_adapters)
Process completed with exit code 5.
Torch CUDA Tests (models)
Process completed with exit code 1.
Torch Pipelines CUDA Tests (controlnet)
Process completed with exit code 1.
Torch CUDA Tests (lora)
Process completed with exit code 1.
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This job failure may be caused by using an out of date self-hosted runner.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
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This job failure may be caused by using an out of date self-hosted runner.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 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This job failure may be caused by using an out of date self-hosted runner.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
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This job failure may be caused by using an out of date self-hosted runner.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
Examples PyTorch CUDA tests on Ubuntu pip uninstall transformers -y && python -m uv pip install -...
This job failure may be caused by using an out of date self-hosted runner.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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