Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/34318
Stop checking whether we have AMD GPU devices on the host, because we may be constructing a net on a machine without GPU, and run the net on another one with GPU
Reviewed By: ajauhri
Differential Revision: D20269562
fbshipit-source-id: 1f561086cacdcead3ce7c03c2d02c25336c8b11a
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18560
We have to import python protobuf here **before** we load cpp extension.
Otherwise it breaks under certain build conditions if cpp implementation of
protobuf is used. Presumably there's some registry in protobuf library and
python side has to initialize the dictionary first, before static
initialization in python extension does so. Otherwise, duplicated protobuf
descriptors will be created and it can lead to obscure errors like
Parameter to MergeFrom() must be instance of same class: expected caffe2.NetDef got caffe2.NetDef.
I think it also fixes https://github.com/facebookarchive/caffe2/issues/1573
Reviewed By: ezyang, iroot900
Differential Revision: D14622054
fbshipit-source-id: 2499eb88ecdee85ff8d845859048f7ae5da2a480
Summary:
The goal of this PR is to add an infrastructure; to convert(hipify) CUDA ops into [HIP](https://github.com/ROCm-Developer-Tools/HIP) ops , at **compile** time.
Note that HIP ops, which are portable c++ code, can run on AMD and NVIDIA platform.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/9322
Differential Revision: D8884707
Pulled By: bddppq
fbshipit-source-id: dabc6319546002c308c10528238e6684f7aef0f8
