[CI] Test setup #5115
vmoensbuild-wheels-linux.yml
on: push
generate-matrix
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generate
4s
Matrix: pytorch/rl
Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
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pytorch_rl__3.10_cpu_x86_64
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1.83 MB |
sha256:a397ce5e2de3f299a9a1668b2d06e8999d27a6a7d8d1fb133db04df13e171ab9
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pytorch_rl__3.10_cu126_x86_64
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1.83 MB |
sha256:cc7fa9c9ff5fc1bcf9961cc3f5ad165414aaa263fe93716a12043a572a5795a8
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pytorch_rl__3.10_cu128_x86_64
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1.83 MB |
sha256:b8ee2b4e6ea1161077b505c9c8eafe7b7c76dff2665eeedc723135ca44b7539b
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pytorch_rl__3.10_cu129_x86_64
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1.83 MB |
sha256:54acb03170873dbeb24ad0877e75e1657100197fef9ad3aca2de9c2eaf9b4456
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pytorch_rl__3.10_cu130_x86_64
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1.83 MB |
sha256:7967318282cfb5857f6f2a45e6239d0f33598bbc943816732f9016b997a9ea77
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pytorch_rl__3.10_rocm7.0_x86_64
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1.82 MB |
sha256:3a7fc623ecb5e9327bbb518e539665c3a60fbc705d50384ec3da1da89977f208
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pytorch_rl__3.10_rocm7.1_x86_64
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1.82 MB |
sha256:841c23346bfe30cbaeea0aa35b1f96d145e2ffbc356ccbbb2be7ae0adc28721f
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pytorch_rl__3.11_cpu_x86_64
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1.83 MB |
sha256:44caf6669c392c3426543691010925d36694f6ef87a8dae8ececbf26bc1578d2
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pytorch_rl__3.11_cu126_x86_64
|
1.83 MB |
sha256:03dce55fa7d3cd389a054928406ce59494e5de761b09b8f2f275901de612e5a0
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pytorch_rl__3.11_cu128_x86_64
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1.83 MB |
sha256:bb3ddc7940f338d26f9ab26cbdaf0633924246c138264d8fadfe0ac774d6e160
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pytorch_rl__3.11_cu129_x86_64
|
1.83 MB |
sha256:f4dc62893eaa21dcbd96e8fa3dedb7ee970dd995d755296b0df980f804fab3e7
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pytorch_rl__3.11_cu130_x86_64
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1.83 MB |
sha256:1859d8fb2cbb29dd1c1f11a54415a768444587fd5d8172c1347f8691df360dc9
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pytorch_rl__3.11_rocm7.0_x86_64
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1.82 MB |
sha256:c2ff5ddfcab5ae18acf1ad757962bba8a9ca95246860a34540fd0c9abe3bb6cd
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pytorch_rl__3.11_rocm7.1_x86_64
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1.82 MB |
sha256:2f881d91aadc701f65aa40b7097c0c8a97e514acb4521f113b4181422ccbc42a
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pytorch_rl__3.12_cpu_x86_64
|
1.83 MB |
sha256:33e93562ab8f0674fa63753c2314d6a997aa4f350f59003a0949112a26f55d17
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pytorch_rl__3.12_cu126_x86_64
|
1.83 MB |
sha256:00d1a61499f36ffcf86944d2236677999986ec7f5957e8fec5fb6a3bee9819db
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pytorch_rl__3.12_cu128_x86_64
|
1.83 MB |
sha256:0382c3680aedbdaf87c8924ac16a7fc2b033e42f6115be692912f271cfbbe40e
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pytorch_rl__3.12_cu129_x86_64
|
1.83 MB |
sha256:6e10d1095e3d4da3e957db2d4ccaa83efaae6d0a1ec284930b3225df835020f6
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pytorch_rl__3.12_cu130_x86_64
|
1.83 MB |
sha256:43508dc0d450925aa7774eba6889530cac033c8895a6a4b449cbbf55dad80452
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pytorch_rl__3.12_rocm7.0_x86_64
|
1.82 MB |
sha256:112d3e34dfbeef88749e2f2ffd3e49bb31cee9ebd5728f958465d66cb4dc31d2
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pytorch_rl__3.12_rocm7.1_x86_64
|
1.82 MB |
sha256:73586f7917ed83f41a5c100c8c4b2657eae37198c6fd49d423e6ff9285f124b7
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pytorch_rl__3.13_cpu_x86_64
|
1.83 MB |
sha256:c02c7f811556dc5df2d7795ec1a54c59387159f398358df4e33b6a42594a3057
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pytorch_rl__3.13_cu126_x86_64
|
1.83 MB |
sha256:6641c20e96bbd4e5dd269d8ff6cc3c0924de8e50d57f8cb6634b2e43a5babcd3
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pytorch_rl__3.13_cu128_x86_64
|
1.83 MB |
sha256:e40f1e6e478005e52e3eaaec8743c2c1b7f59a116842631d05b9f0aa8ff81e94
|
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pytorch_rl__3.13_cu129_x86_64
|
1.83 MB |
sha256:6fd062d1320dbc7e3f09a6337dc1d951280f79b6badf20b7763e308d529f459f
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pytorch_rl__3.13_cu130_x86_64
|
1.83 MB |
sha256:aefd8082ff030df09c4d2ecb5b042bf87e816be4099dd4c09ef4d37a7f588e10
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pytorch_rl__3.13_rocm7.0_x86_64
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1.82 MB |
sha256:3c3619e43c3eb5564619e64731106ef2d49f54876adccf0030d7147e80ae2017
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pytorch_rl__3.13_rocm7.1_x86_64
|
1.82 MB |
sha256:27613bd17c960f453f96aa68e32ec71b902e23a5990760d55dce9319505a94d2
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pytorch_rl__3.13t_cpu_x86_64
|
1.83 MB |
sha256:3522336a55e67417ed612fd8dcb94e160638840aa9bba8a621d2e0373c7b37f1
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pytorch_rl__3.13t_cu126_x86_64
|
1.83 MB |
sha256:7964e4cd3a3159a2fe0e714e78970f80227d276d1fd1e92d15fc8707a918bbf8
|
|
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pytorch_rl__3.13t_cu128_x86_64
|
1.83 MB |
sha256:cb957c3a1d2c702e3fc621508c65f370a3a9578dfcee05a512a0d34b7076b59e
|
|
|
pytorch_rl__3.13t_cu129_x86_64
|
1.83 MB |
sha256:7e39ca3825853e34830f8488b51642ecca6537339740cc2e8275bb5f9ee8dc0b
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|
pytorch_rl__3.13t_cu130_x86_64
|
1.83 MB |
sha256:9a82e2d1f49cd36b7caf5b5ce4160a6fb26178be9a2bd960899e12aabee9d420
|
|
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pytorch_rl__3.13t_rocm7.0_x86_64
|
1.82 MB |
sha256:d903fd0d05e4ec018dfa996a2547a0d5374a9b24c222621ebf5ca37444f45850
|
|
|
pytorch_rl__3.13t_rocm7.1_x86_64
|
1.82 MB |
sha256:c6636f5f5aacbba61e0f31c8bc5e7dab371d3b244468f1228333309cd4f372ed
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pytorch_rl__3.14_cpu_x86_64
|
1.83 MB |
sha256:212cb4a03ae28ced609c591930926d6cf93ae4a8ce59fba453525afec9f012b1
|
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pytorch_rl__3.14_cu126_x86_64
|
1.83 MB |
sha256:c871f314c0a9aa6ecffc085a248d64423176791172194a842863307770a2d4bd
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pytorch_rl__3.14_cu128_x86_64
|
1.83 MB |
sha256:8a7a7d4714584dac18f7fa4c45a7c1bb38b54a7d87e3eae9ab913ed96da59d63
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pytorch_rl__3.14_cu129_x86_64
|
1.83 MB |
sha256:9503db18848a3a705c00f1f7fa67e061248c9463d7c85d4981681d9dbb3157f4
|
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pytorch_rl__3.14_cu130_x86_64
|
1.83 MB |
sha256:1f92653bb0f7106c8c3a21fd418a4965bb2e8663704f508afee7508c3a36b842
|
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pytorch_rl__3.14_rocm7.0_x86_64
|
1.82 MB |
sha256:7cc83ef982d766a8e9da0be9fe8ed73b5e255470e38eb5d07ddab4e53b81fba6
|
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pytorch_rl__3.14_rocm7.1_x86_64
|
1.82 MB |
sha256:78d40b5a6453fe9393cfa43271d78e828634d6279b0cc1c67f9e64a4683ed2c4
|
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pytorch_rl__3.14t_cpu_x86_64
|
1.83 MB |
sha256:159f12b6a1cd89259527f5c3975a876642cd5f886d0952bf85717eb5b626b7d8
|
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pytorch_rl__3.14t_cu126_x86_64
|
1.83 MB |
sha256:b03744fab1123d18accad3850cac818067497774d7732e25dd2005d1bcbeb40c
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pytorch_rl__3.14t_cu128_x86_64
|
1.83 MB |
sha256:af9b72bab744f4871de6378ff90bd448d0d6c141c14565cedf4f27de497660c2
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pytorch_rl__3.14t_cu129_x86_64
|
1.83 MB |
sha256:ae91cf1940f31b3121d01a0af13621e6aceabf7f45c8f1f8ed8bec3b7e7c63b4
|
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pytorch_rl__3.14t_cu130_x86_64
|
1.83 MB |
sha256:35e7f5c294406b4aba1f47fa34bf2d9c63b1e6613faa2b988bb21aa575f6ee1e
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pytorch_rl__3.14t_rocm7.0_x86_64
|
1.82 MB |
sha256:ea1488a3a9356a1ff580376c5e96bbb206a57060f17d26782e97d5f6c36ca34e
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pytorch_rl__3.14t_rocm7.1_x86_64
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1.82 MB |
sha256:36f5dec7728cb8a355701eed29e6d2ca15e1859238cc784d95855a0dbf04f72e
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