2026-01-24 nightly release (b9bbf9206e442b7ed23bffbba7b8578df07d5f9d) #440
pytorchbotbuild_wheels_linux_x86.yml
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Matrix: meta-pytorch/MSLK / build
Matrix: meta-pytorch/MSLK / upload / upload
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filter-matrix
The `python-version` input is not set. The version of Python currently in `PATH` will be used.
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Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
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meta-pytorch_MSLK__3.10_cu126_x86_64
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14.2 MB |
sha256:4bb75fbad06de59ce4976b47afcf3524943da1b3e552c5b06eca31e837129ecb
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meta-pytorch_MSLK__3.10_cu128_x86_64
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47.1 MB |
sha256:e64bdf49c14bd2f2eb5903979f294a43e820c6844f9f502694aec571b4c64395
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meta-pytorch_MSLK__3.10_cu129_x86_64
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48.6 MB |
sha256:867f214e538bb63b369a1fa04785f3b49c1b0d2e2671f821d6e098785000af89
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meta-pytorch_MSLK__3.10_cu130_x86_64
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43.8 MB |
sha256:edf30aec8e745252aee4a1dd474e07fed8bc595324c2d25d5bc8a7b4e401c223
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meta-pytorch_MSLK__3.10_rocm7.0_x86_64
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10.1 MB |
sha256:a4914fa9d6dcaa005e738e834aea74bc8c923eb22657d9142cc4a47c96e54afc
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meta-pytorch_MSLK__3.10_rocm7.1_x86_64
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10.2 MB |
sha256:0b99325af75ee3c7c41eecf3aeef8a28b47800dde36f494fff6f46aa63238f9f
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meta-pytorch_MSLK__3.11_cu126_x86_64
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14.1 MB |
sha256:226f2d31f1e5ed1830629fb7dfbc8703a81c218db3200edff9d4aca8d199ba59
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meta-pytorch_MSLK__3.11_cu128_x86_64
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47.1 MB |
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meta-pytorch_MSLK__3.11_cu129_x86_64
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48.6 MB |
sha256:2fa3047397b68f5a926a40fdf804efa553ee7cd4c556f0181d17a4ed81ff069e
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meta-pytorch_MSLK__3.11_cu130_x86_64
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43.7 MB |
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meta-pytorch_MSLK__3.11_rocm7.0_x86_64
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10.1 MB |
sha256:4cd1c3e96a9b0e23d3cdf2bb888e1f07312ebcfce7acbcdad9b515620b8b488e
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meta-pytorch_MSLK__3.11_rocm7.1_x86_64
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10.2 MB |
sha256:e49723b649a3c95bed81840bd9ca1d15883d14958d97b09efd45ee2dca17a7a1
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meta-pytorch_MSLK__3.12_cu126_x86_64
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14.1 MB |
sha256:2e471416a2b169339c3c822f30289787e1289905e15bd71e87e38d01988c2746
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meta-pytorch_MSLK__3.12_cu128_x86_64
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47.1 MB |
sha256:4120eb840eef4ef7064019a7373debf1a54876a3eae012d2ec09f93b1d9c745c
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meta-pytorch_MSLK__3.12_cu129_x86_64
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48.6 MB |
sha256:03a8343b20d491eb7ed8738a98be1899bdf880a62b1ca65b2c292373f18ccc63
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meta-pytorch_MSLK__3.12_cu130_x86_64
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43.7 MB |
sha256:e9fbbb70fc32d6cbd1c526419639a58f88df00e67c25e0349075f6e2ce5cc387
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meta-pytorch_MSLK__3.12_rocm7.0_x86_64
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10.1 MB |
sha256:46e795ed4b31d3a5b7f3a9dcd7b5094bea9634538d9cd243408a3e8bec03c12c
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meta-pytorch_MSLK__3.12_rocm7.1_x86_64
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10.2 MB |
sha256:7dc18d6c31ec00bc1b199321d500b51beda2dcfd988a8aa2c46b3c9922dd080d
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meta-pytorch_MSLK__3.13_cu126_x86_64
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14.2 MB |
sha256:fcf2a4eef8c17ef601ab9329eef590c9cc60c911847b38fa3ee202ceb0352130
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meta-pytorch_MSLK__3.13_cu128_x86_64
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47.1 MB |
sha256:a961e4d412961a1468918398362827cd73b217b9ead8378854ffea8abb8e3ef3
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meta-pytorch_MSLK__3.13_cu129_x86_64
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48.6 MB |
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meta-pytorch_MSLK__3.13_cu130_x86_64
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43.7 MB |
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meta-pytorch_MSLK__3.13_rocm7.0_x86_64
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10.1 MB |
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meta-pytorch_MSLK__3.13_rocm7.1_x86_64
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10.2 MB |
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meta-pytorch_MSLK__3.13t_cu126_x86_64
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14.2 MB |
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meta-pytorch_MSLK__3.13t_cu128_x86_64
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47.2 MB |
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meta-pytorch_MSLK__3.13t_cu129_x86_64
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48.6 MB |
sha256:de0dd333a01f3ef232c845df0f3f92d4bdc74f6d3a0835f2bae00816621b7134
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meta-pytorch_MSLK__3.13t_cu130_x86_64
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43.8 MB |
sha256:d48a29d42f8463dc7dbe94eebdbcb01c73852a9f3bb170f3044b213b330b40ae
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meta-pytorch_MSLK__3.14_cu126_x86_64
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14.1 MB |
sha256:8d14a5fd84da1d6503624eca91014505ba9ec77df3f92416d7eab2b8ca02fa5d
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meta-pytorch_MSLK__3.14_cu128_x86_64
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47.2 MB |
sha256:14cc411e7d97feaedace3fa5fc5dab593825bb7567b4bcbe496e05c7a55bdaa0
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meta-pytorch_MSLK__3.14_cu129_x86_64
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48.6 MB |
sha256:15f3d96965f283243370f45615cac70ba38294e756bef980dfd1e874869dd714
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meta-pytorch_MSLK__3.14_cu130_x86_64
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43.8 MB |
sha256:9bdcf699bdc35239151795afd5808a4e5fceb82f8259c2cc36bc0e91777c7af9
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meta-pytorch_MSLK__3.14_rocm7.0_x86_64
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10.1 MB |
sha256:d9a70920eb594754a9a3676c4365fbcd5a4d4bb81517d8b2fd3b120ab4f9e8b1
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meta-pytorch_MSLK__3.14_rocm7.1_x86_64
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10.2 MB |
sha256:ae8f955b5c2a31343168c7367e19cfbd40f3199741f80770618a544d42b07f0b
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meta-pytorch_MSLK__3.14t_cu126_x86_64
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14.1 MB |
sha256:5d1fd5207bdf87159e1d3a491d399e1571008027a57406e6eb63421937106dd3
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meta-pytorch_MSLK__3.14t_cu128_x86_64
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47.2 MB |
sha256:6393ffcf632a5d41be144d16ac5fb71f50fb67051d6c47507ef6fdcb3c888997
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meta-pytorch_MSLK__3.14t_cu129_x86_64
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48.6 MB |
sha256:d90ec953afb5fb6065a153e218d7070a3ffbacc7e8d71eedcc2c016e1a13b747
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meta-pytorch_MSLK__3.14t_cu130_x86_64
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43.8 MB |
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meta-pytorch_MSLK__3.14t_rocm7.0_x86_64
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10.1 MB |
sha256:cfdc75e8853c83951a727fe980d927cfa1b85d10b1d428182e412186194d3763
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meta-pytorch_MSLK__3.14t_rocm7.1_x86_64
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10.2 MB |
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