2025-07-01 nightly release (8325430166fa291aeb40fa4e2b4c9170e4d770b7) #13830
pytorchbotbuild_wheels_linux_x86.yml
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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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pytorch_FBGEMM__3.10_cpu_x86_64
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5.52 MB |
sha256:508422eab7d62e1fce77733f0018aa72aea032ef5696ea8e44c12ea7fb260d55
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pytorch_FBGEMM__3.10_cu126_x86_64
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383 MB |
sha256:99d5848a5042ec5da0e496bbc5045122e09232a25260d7789faa8e8ec11b4c91
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pytorch_FBGEMM__3.10_cu128_x86_64
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621 MB |
sha256:f41f5c2f5b58a06067997260b9e0be52784a869c3b342213546836a6735d84a3
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pytorch_FBGEMM__3.10_cu129_x86_64
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652 MB |
sha256:6bde6af1de94b4f0d9638d8437dc50a06ab476962bd71bf6dfaa0fc1545174b0
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pytorch_FBGEMM__3.10_rocm6.3_x86_64
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55.3 MB |
sha256:4a24622d6976862127c15ad6a1dd59c7c43f7e3dff809a8219a8d83f37d189a6
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pytorch_FBGEMM__3.10_rocm6.4_x86_64
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54.6 MB |
sha256:0bdd8b629534fb949f2bd5969fa06ba41f85747b383fd6f247eb773f69d159e1
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pytorch_FBGEMM__3.11_cpu_x86_64
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5.52 MB |
sha256:ebcdcc0e5249c8a99d3b0fdd3bcc60998978605d2390d3ed2e4d5ca0ef7c411a
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pytorch_FBGEMM__3.11_cu126_x86_64
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383 MB |
sha256:fcea9ff2ef18e3cb9b958c4fcce633ee7aaffc16dffd2eed25a6a91b17d2fb7e
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pytorch_FBGEMM__3.11_cu128_x86_64
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621 MB |
sha256:4ce433f30977cdc6ae0d9c0b372c3a419fc30ce3984519403274e3b73af52ae1
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pytorch_FBGEMM__3.11_cu129_x86_64
|
652 MB |
sha256:325243de79e1205a519701b7016822a172dc5d6621fe4ba43c823cc4b220d7a3
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pytorch_FBGEMM__3.11_rocm6.3_x86_64
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55.3 MB |
sha256:acb4793fca4db7453405cbd1fd25d376fbf5534cfbb0f96093930cc9ea488bc0
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pytorch_FBGEMM__3.11_rocm6.4_x86_64
|
54.6 MB |
sha256:f91eef34f712431d4e1f7819379544a8f450f67f850c733f3f9c36866fe1b109
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pytorch_FBGEMM__3.12_cpu_x86_64
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5.52 MB |
sha256:5cbb9b9d5077455b66b027fd52f9cec064916ac7c0c6ee4703ece20b69ec6b46
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pytorch_FBGEMM__3.12_cu126_x86_64
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383 MB |
sha256:bacd16169e6103aa0faad10f32c09476da655979ff468dc9d194f30ca8099076
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pytorch_FBGEMM__3.12_cu128_x86_64
|
621 MB |
sha256:337fd55a848f7c93e1ff0eb7538d971ee679c08cd9f10046017ab37c0a935543
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pytorch_FBGEMM__3.12_cu129_x86_64
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652 MB |
sha256:24aa616b2f31301be8ea43bcc8180bdd090e9fdf9fcf749d45f61c9da2d15496
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pytorch_FBGEMM__3.12_rocm6.3_x86_64
|
55.3 MB |
sha256:6d39e84171e0fb2dae76711c9e9b641f448bff29ab73308e731e710f49b91b17
|
|
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pytorch_FBGEMM__3.12_rocm6.4_x86_64
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54.6 MB |
sha256:1419fb1c995bfa7b29fa162356b4078d9285b7ad039f8784f6b707e9886e71e7
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pytorch_FBGEMM__3.13_cpu_x86_64
|
5.52 MB |
sha256:71004a019e0ab7be009d2b2417436d53699882ba2855d626ac71021ef1ae1271
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pytorch_FBGEMM__3.13_cu126_x86_64
|
383 MB |
sha256:4d754953fe2a2fa306d7f3e3e37ca7442b239a264db3acaf611d6fd7d9b51dea
|
|
|
pytorch_FBGEMM__3.13_cu128_x86_64
|
621 MB |
sha256:3bf3297ce64fa13fd090722a83a3e676341dabceb4ea04395dcdc0779ab085cc
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pytorch_FBGEMM__3.13_cu129_x86_64
|
652 MB |
sha256:6eb1b09480dc1c79b4bbb9ad35a1938383df4186e9a6d6b7e33d85bd5625620f
|
|
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pytorch_FBGEMM__3.13_rocm6.3_x86_64
|
55.3 MB |
sha256:0c323fb823ad71ba105ad2d31d87d081248c03307349e9017175adfa4df98194
|
|
|
pytorch_FBGEMM__3.13_rocm6.4_x86_64
|
54.6 MB |
sha256:1c2672443c6c055eb52aef234423983332cda851aef2616049f9718d3127094d
|
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pytorch_FBGEMM__3.13t_cpu_x86_64
|
5.52 MB |
sha256:9094eb936e7a8b8c5482b7292e944828be1a8660b919960346d0f2547ebff224
|
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pytorch_FBGEMM__3.13t_cu126_x86_64
|
383 MB |
sha256:5adf929a39e48de05aaca43eeb4fbcf7b0cd46fcf7b8a71fcc5d51b98174e7c5
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pytorch_FBGEMM__3.13t_cu128_x86_64
|
621 MB |
sha256:557b62b418c0b0b9a3677c61b9ac4961dda3d45307388773a6b5103180c74994
|
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pytorch_FBGEMM__3.13t_cu129_x86_64
|
652 MB |
sha256:6b4b626bcbab5ffb9343eabef55ef5b20c26d1424deec9ef568d73ea04ca3d4b
|
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|
pytorch_FBGEMM__3.9_cpu_x86_64
|
5.52 MB |
sha256:3e3d111274600cf0c1906cb542ebd7d518d2ed0d0849c2f37a109150d80cb588
|
|
|
pytorch_FBGEMM__3.9_cu126_x86_64
|
383 MB |
sha256:c43fb859be4ca5b5596b85c4d1fff8c9d84b9d81770eb3bd21d23cdd7aeeff96
|
|
|
pytorch_FBGEMM__3.9_cu128_x86_64
|
621 MB |
sha256:4fbe730a769607ad98fb3dd85063b9cc7a9adcaf098a004824f1e33c7ea54e8a
|
|
|
pytorch_FBGEMM__3.9_cu129_x86_64
|
652 MB |
sha256:59621e5d8d9c7dce0994a6463b8d9a0c36a7e28a487427fe8c1682315dfc3ce1
|
|
|
pytorch_FBGEMM__3.9_rocm6.3_x86_64
|
55.4 MB |
sha256:a60048580fe6a44b8f260df9986762e72079c9a38cfd7aa08f5071cc0f0864d2
|
|
|
pytorch_FBGEMM__3.9_rocm6.4_x86_64
|
54.6 MB |
sha256:9f07f5ccf709afd96ef946c26c59175be7065b1471c4e340aa568b19a39a8b2d
|
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