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SECURITY.md
### 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 implementation bugs that might allow attackers to leave malicious code running
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CODE_OF_CONDUCT.md
Examples of unacceptable behavior by participants include: * The use of sexualized language or imagery and unwelcome sexual attention or advances. * Trolling, insulting/derogatory comments, and personal or political attacks. * Public or private harassment. * Publishing others' private information, such as a physical or electronic address, without explicit permission.
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
``` (You can paste links or attach files by dragging & dropping them below) - Provide links to your updated versions of the above two colab notebooks. - Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model. ``` #### Option B: Paste your code here or provide a link to a custom end-to-end colab ``` (You can paste links or attach files by dragging & dropping them below)
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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
**Standalone code to reproduce the issue** Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to or attach code demonstrating the problem. **Any other info / logs** Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files
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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:
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LICENSE
of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate
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tensorflow/c/env.h
typedef struct TF_ThreadOptions { // Thread stack size to use (in bytes), zero implies that the system default // will be used. size_t stack_size; // Guard area size to use near thread stacks to use (in bytes), zero implies // that the system default will be used. size_t guard_size; // The NUMA node to use, -1 implies that there should be no NUMA affinity for // this thread. int numa_node;
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