Skip to content

Refactor gen resources (#984) #3004

Refactor gen resources (#984)

Refactor gen resources (#984) #3004

Triggered via push October 20, 2025 21:47
Status Success
Total duration 2h 1m 11s
Artifacts 7

linux_wheel.yaml

on: push
generate-matrix  /  generate
5s
generate-matrix / generate
Matrix: Build and Upload Linux wheel / build
Waiting for pending jobs
Matrix: Build and Upload Linux wheel / upload / upload
Waiting for pending jobs
Matrix: install-and-test
Fit to window
Zoom out
Zoom in

Annotations

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, 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, 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, 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
sha256:6f9f63f0bf669cffd95e8ba01b23a0db1031e75f979a389c5f30836a7b069b31
meta-pytorch_torchcodec__3.11_cpu_x86_64
1.83 MB
sha256:bad41711f722a56efd3e10e14652d1c967b0e88acb011b8801ba8a8650359ee0
meta-pytorch_torchcodec__3.12_cpu_x86_64
1.85 MB
sha256:71a74da6cf5d51ef285166dd2f23f553fcd95bd889c7a753c1fc3a4471144b7f
meta-pytorch_torchcodec__3.13_cpu_x86_64
1.85 MB
sha256:b7e6152b9620c727cfc84e2e4226f534351c9d3fa94215f04b1be9f42ad81f9e
meta-pytorch_torchcodec__3.13t_cpu_x86_64
1.85 MB
sha256:86fcecd8dea78f962ae48c7fb29626e617af93d8209e9db9c6168d3f8bf51349
meta-pytorch_torchcodec__3.14_cpu_x86_64
1.85 MB
sha256:e80808c3fb0c14d21a1442d03f700fcad0652a6f7b9d151c75ccf8fcd4ab578e
meta-pytorch_torchcodec__3.14t_cpu_x86_64
1.85 MB
sha256:28bf7cf285ec9241a4643e56a704bc388c93243d9d31af0d13217ce0c4699d40