mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-14 20:57:59 +00:00
9b6ef8abaf
CUDA 12.4 is the default now. This frees up some resources. This also fixes newly added Python 3.13 job by #140733. That PR missed adding the new Docker image `pytorch-linux-focal-cuda12.4-cudnn9-py3.13-gcc9-inductor-benchmarks` into docker build workflow. Pull Request resolved: https://github.com/pytorch/pytorch/pull/142177 Approved by: https://github.com/atalman
34 lines
718 B
YAML
34 lines
718 B
YAML
tracking_issue: 24422
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ciflow_tracking_issue: 64124
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ciflow_push_tags:
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- ciflow/binaries
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- ciflow/binaries_libtorch
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- ciflow/binaries_wheel
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- ciflow/inductor
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- ciflow/inductor-periodic
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- ciflow/inductor-rocm
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- ciflow/inductor-perf-compare
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- ciflow/inductor-micro-benchmark
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- ciflow/inductor-micro-benchmark-cpu-x86
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- ciflow/inductor-cu126
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- ciflow/linux-aarch64
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- ciflow/mps
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- ciflow/nightly
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- ciflow/periodic
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- ciflow/rocm
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- ciflow/s390
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- ciflow/slow
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- ciflow/trunk
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- ciflow/unstable
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- ciflow/xpu
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- ciflow/torchbench
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- ciflow/autoformat
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retryable_workflows:
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- pull
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- trunk
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- linux-binary
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- windows-binary
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- inductor-A100-perf-nightly
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labeler_config: labeler.yml
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label_to_label_config: label_to_label.yml
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mergebot: True
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