2025-04-28 nightly release (0f00a8a9329548e0277c5595b084beab129ea25e) #781
build_wheels_genai_linux_aarch64.yml
on: push
generate-matrix
/
generate
5s
Matrix: build
Annotations
4 errors
pytorch/FBGEMM / build-wheel-py3_13t-cpu-aarch64
Process completed with exit code 1.
|
pytorch/FBGEMM / build-wheel-py3_13t-cuda-aarch6412_8-aarch64
Process completed with exit code 1.
|
pytorch/FBGEMM / upload / upload-wheel-py3_13t-cpu-aarch64
Unable to download artifact(s): Artifact not found for name: pytorch_FBGEMM__3.13t_cpu_aarch64
Please ensure that your artifact is not expired and the artifact was uploaded using a compatible version of toolkit/upload-artifact.
For more information, visit the GitHub Artifacts FAQ: https://github.com/actions/toolkit/blob/main/packages/artifact/docs/faq.md
|
pytorch/FBGEMM / upload / upload-wheel-py3_13t-cuda-aarch6412_8-aarch64
Unable to download artifact(s): Artifact not found for name: pytorch_FBGEMM__3.13t_cu128_aarch64
Please ensure that your artifact is not expired and the artifact was uploaded using a compatible version of toolkit/upload-artifact.
For more information, visit the GitHub Artifacts FAQ: https://github.com/actions/toolkit/blob/main/packages/artifact/docs/faq.md
|
Artifacts
Produced during runtime
Name | Size | Digest | |
---|---|---|---|
pytorch_FBGEMM__3.10_cpu_aarch64
|
3.83 MB |
sha256:6d4cd97849a12ec9fd4c74fa6da5f0bf8b8c84a64ee9f471793f088631ec79dd
|
|
pytorch_FBGEMM__3.10_cu128_aarch64
|
18.5 MB |
sha256:991914ab36d72f58cad68371d0a2d3a4720f495ff4f4495bc722bad04595092d
|
|
pytorch_FBGEMM__3.11_cpu_aarch64
|
3.83 MB |
sha256:76cabd96e614ced4818cb0fefb9923f0dcda6164515bfe95dc21b7be1c13e3ab
|
|
pytorch_FBGEMM__3.11_cu128_aarch64
|
18.5 MB |
sha256:25e6a3218651a28092afd634c5cdba3258c1438377d2c63c0b3a8bf8baad6d0d
|
|
pytorch_FBGEMM__3.12_cpu_aarch64
|
3.83 MB |
sha256:a1d86fc04ae06e9d0b5a0b4639e0c0fe3eede50c96d8642dbeacf838d0b1a93a
|
|
pytorch_FBGEMM__3.12_cu128_aarch64
|
18.5 MB |
sha256:ff95360ab739328dbbe2269e99159e265381e2b93cece84b1c39e93a21d2ab8a
|
|
pytorch_FBGEMM__3.13_cpu_aarch64
|
3.83 MB |
sha256:fe0179c6016e683ef66da53d3904868ef3df4a6ff41467459f1e2c8af8304f52
|
|
pytorch_FBGEMM__3.13_cu128_aarch64
|
18.5 MB |
sha256:8b6891954eec47f17a623dbf66babf17f4f28f58da5dccbed7b30afcc7f5ea3b
|
|
pytorch_FBGEMM__3.9_cpu_aarch64
|
3.83 MB |
sha256:0b0dce8ebea9a4d29ac5a848019511b89926de499b1f50b91bd560ba4161fb12
|
|
pytorch_FBGEMM__3.9_cu128_aarch64
|
18.5 MB |
sha256:6e2c5dbf70447ca6462c8314944a8e5eabc8e6dfe697e827d898b89df2b8411c
|
|