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Build and test Linux wheel

2025-10-20 nightly release (871e5a716d097516a2e11daf1d0a614c61299679) #2998

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2025-10-20 nightly release (871e5a716d097516a2e11daf1d0a614c61299679)

2025-10-20 nightly release (871e5a716d097516a2e11daf1d0a614c61299679) #2998

Triggered via push October 20, 2025 11:35
@pytorchbotpytorchbot
pushed 036ad7c
nightly
Status Success
Total duration 8h 23m 55s
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, 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, 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, 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
sha256:9e713ed57cfded90d04c443b57a8775654a0592cc4fd93179d2bf23a1ecb43b1
meta-pytorch_torchcodec__3.11_cpu_x86_64
1.83 MB
sha256:76c7cebc14908a3fbf05ccdeb1938f55c6d3681453b94c1ca46499b2ecf37bb8
meta-pytorch_torchcodec__3.12_cpu_x86_64
1.85 MB
sha256:1dfe6883c1e3066b2ff2442e00251e2c64394651eb47c40f56cbe3aaacd785d7
meta-pytorch_torchcodec__3.13_cpu_x86_64
1.85 MB
sha256:d649a9f1fc97547c83dc2094972f4c37987f1fb0978402250a3bd429c525f294
meta-pytorch_torchcodec__3.13t_cpu_x86_64
1.85 MB
sha256:b8a2f0b631d180b0f3ced9ee1b7e541b0b1a83c16fda31c57081fd837fa25b33
meta-pytorch_torchcodec__3.14_cpu_x86_64
1.85 MB
sha256:b7444f913aee6db0c628b1c6dde8de40159fca184927e5a9989468f69492060c
meta-pytorch_torchcodec__3.14t_cpu_x86_64
1.85 MB
sha256:fb5414d8a1f1575b4ef0e7100343ddde602ebeaf28fea321924049a3d094974f