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Build and test Linux wheel

2025-10-19 nightly release (871e5a716d097516a2e11daf1d0a614c61299679) #2997

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2025-10-19 nightly release (871e5a716d097516a2e11daf1d0a614c61299679)

2025-10-19 nightly release (871e5a716d097516a2e11daf1d0a614c61299679) #2997

Triggered via push October 19, 2025 11:35
@pytorchbotpytorchbot
pushed 7f8e16b
nightly
Status Success
Total duration 26m 52s
Artifacts 7

linux_wheel.yaml

on: push
generate-matrix  /  generate
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generate-matrix / generate
Matrix: Build and Upload Linux wheel / build
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5 warnings
install-and-test (3.10, 4.4.2)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.
install-and-test (3.10, 6.1.1)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.
install-and-test (3.10, 5.1.2)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.
install-and-test (3.10, 7.0.1)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.
install-and-test (3.10, 8.0)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.

Artifacts

Produced during runtime
Name Size Digest
meta-pytorch_torchcodec__3.10_cpu_x86_64
1.83 MB
sha256:f1bfe58c4e5907c2d783353d9731e3d45162fa610697255aa44064f0cf3474b7
meta-pytorch_torchcodec__3.11_cpu_x86_64
1.83 MB
sha256:05876fae51fff85eee63ea724b84705ac66956350c2c5198c89f28607c67df6f
meta-pytorch_torchcodec__3.12_cpu_x86_64
1.85 MB
sha256:8d8f2aee73b4b4134c10eff0b123f2ff15b5eb43ab34bfec0724671a77a27406
meta-pytorch_torchcodec__3.13_cpu_x86_64
1.85 MB
sha256:184d0966a4856c4a93d41561cd3f791f531b63f47bff658505c036f0b41f0b82
meta-pytorch_torchcodec__3.13t_cpu_x86_64
1.85 MB
sha256:09eb92f380267061e6f8575e34f1990f89297231719790ec545741785b0acf8d
meta-pytorch_torchcodec__3.14_cpu_x86_64
1.85 MB
sha256:17a7a3c70668a6200c0fe180db5f0abbafad2624163e929ed2d9d49dd7f46b3e
meta-pytorch_torchcodec__3.14t_cpu_x86_64
1.85 MB
sha256:7822305c4525f2a9264e129e37e9d55a2ab60346b8fc2d80e76e3757b191e461