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[Quantization] Add TRT-ModelOpt as a Backend #33180

[Quantization] Add TRT-ModelOpt as a Backend

[Quantization] Add TRT-ModelOpt as a Backend #33180

Re-run triggered September 1, 2025 15:38
Status Success
Total duration 16m 25s
Artifacts 5

pr_tests.yml

on: pull_request
check_code_quality
32s
check_code_quality
check_repository_consistency
30s
check_repository_consistency
LoRA tests with PEFT main
6m 58s
LoRA tests with PEFT main
Matrix: run_fast_tests
Matrix: run_staging_tests
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Name Size Digest
pr_main_test_reports
17.8 KB
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pr_pytorch_examples_torch_example_cpu_test_reports
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sha256:557a482801fcfa0ff9ee149c3cc0b5a03d10bed1847763314947c7c29e2db87f
pr_pytorch_models_torch_cpu_models_schedulers_test_reports
28.5 KB
sha256:dade387c1313561d33037b3417a9191fd7f0a93fc40afc65978400d62d330cfd
pr_pytorch_pipelines_torch_cpu_pipelines_test_reports
84.7 KB
sha256:44802854fe4228676e5dd0f34627338a812a1892b07723d829104b8fc9503ca2
pr_torch_hub_test_reports
3.94 KB
sha256:1bc7c35b6b9328102ccebc33500b8e9743d147898a6bd0bac4f18522f21987d9