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.github/workflows/trusted-partners.yml
name: Trusted Partner PR on: pull_request_target: permissions: contents: read jobs: assign-partner-tags: runs-on: ubuntu-latest permissions: # Needed to attach tags into the PR issues: write contents: write pull-requests: write if: | github.event.pull_request.draft == false && github.event.sender.type == 'User' steps:
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Sep 12 14:49:29 GMT 2023 - 2.4K bytes - Viewed (0) -
SECURITY.md
mitigate the risk in this scenario is to sandbox the model execution. ### Hardware attacks Physical GPUs or TPUs can also be the target of attacks. [Published research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it might be possible to use side channel attacks on the GPU to leak data from other running models or processes in the same system. GPUs can also have
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tensorflow/c/eager/c_api_unified_experimental.cc
void TF_SetTracingImplementation(const char* name, TF_Status* s) { tsl::Set_TF_Status_from_Status(s, SetDefaultTracingEngine(name)); } // Creates a new TensorFlow function, it is an execution context attached to a // given tracing context. TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* s) { return wrap(CreateTracingExecutionContext(fn_name, s)); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
RELEASE.md
Daniel Yudelevich, Darya Parygina, David Korczynski, David Svantesson, dingyuqing05, Dragan Mladjenovic, dskkato, Eli Kobrin, Erick Ochoa, Erik Schultheis, Frédéric Bastien, gaikwadrahul8, Gauri1 Deshpande, guozhong.zhuang, H. Vetinari, Isaac Cilia Attard, Jake Hall, Jason Furmanek, Jerry Ge, Jinzhe Zeng, JJ, johnnkp, Jonathan Albrecht, jongkweh, justkw, Kanvi Khanna, kikoxia, Koan-Sin Tan, Kun-Lu, ltsai1, Lu Teng, luliyucoordinate, Mahmoud Abuzaina, mdfaijul, Milos Puzovic, Nathan Luehr, Om Thakkar,...
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