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Lint
pull / linux-jammy-py3.8-gcc11 / build
pull / linux-jammy-py3.8-gcc11 / test
pull / linux-focal-cuda12.1 / build
pull / linux-focal-cuda12.1 / test
pull / linux-focal-cuda12.4 / build
pull / linux-focal-cuda12.4 / test
pull / linux-focal-rocm6.2 / build
pull / win-vs2019-cpu / build
pull / win-vs2019-cpu / test
pull / macos-py3-arm64 / build
inductor / A100 / test
pull / manylinux / build
pull / linux-jammy-py3.12 / build
trunk / linux-focal-py3.11 / test
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linux: 8/8 passed
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win: 1/2 complete
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mac: 0/1 complete
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inductor: running
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pull / linux-focal-cuda12.1 / test FAIL test_sparse (SparseTestCUDA) Duration: 45m 12s
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Improve conv2d backward pass performance #183512

Dr. CI
Commit:

Commit CI Status

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Lint — success (1m 12s)
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pull / linux-jammy-py3.8-gcc11 / build — success (8m 32s)
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pull / linux-jammy-py3.8-gcc11 / test — success (22m 14s)
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pull / linux-focal-cuda12.1 / build — success (12m 3s)
X
pull / linux-focal-cuda12.1 / test — failure FAIL test_sparse (SparseTestCUDA) Duration: 45m 12s
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Out-of-Tree Backends (3/5 passed, 1 running)
Backend Job Status Duration Links
<company-a>/<hardware-a>-ops test-float32 success 18m 32s Run Artifacts
<company-a>/<hardware-a>-ops test-float16 failure 12m 5s Run Artifacts
<company-b>/pytorch-<hardware-b> test-default success 22m 14s Run
<company-c>/torch-<hardware-c> test-full running Run
<company-d>/pytorch-<hardware-d>-backend test-core success 9m 48s Run Artifacts

Out-of-Tree CI Summary

Cross-repo CI health overview. Repos sorted by pass rate (worst first). Click a row to see the per-backend dashboard.

Backend Repository Level Pass Rate Success Failures Total Avg Duration Last Run
<company-b>/pytorch-<hardware-b> L2 65.0% 261440 31m 5s5/12/2026, 1:10 PM
<company-a>/<hardware-a>-ops L2 78.3% 471360 24m 18s5/12/2026, 2:32 PM
<company-d>/pytorch-<hardware-d>-backend L2 95.5% 85489 12m 9s5/12/2026, 2:55 PM
<company-c>/torch-<hardware-c> L3 97.1% 66268 18m 42s5/12/2026, 3:01 PM
<company-e>/torch-<hardware-e> L4 100.0% 12012 8m 33s5/11/2026, 10:40 PM

<company-a>/<hardware-a>-ops

← Back to OOT Summary

Rows = PyTorch PRs, columns = downstream CI jobs. Click a cell to open the workflow run.

Pass rate: 78.3% 47/60 jobs passed
PR SHA
build
test-float32
test-float16
test-bfloat16
test-complex
test-sparse
test-quantized
test-distributed
test-autograd
test-nn
lint
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build — success Duration: 2m 14s Queue: 8.2s
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test-float32 — success Duration: 18m 32s Tests: 1240/1240 passed Queue: 12.3s
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test-float16 — failure Duration: 12m 5s Tests: 1180/1210 passed Queue: 11.8s
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test-quantized — running Queue: 14.1s
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