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SECURITY.md
- An explanation of who can exploit this vulnerability, and what they gain when doing so. Write an attack scenario that demonstrates how your issue violates the use cases and security assumptions defined in the threat model. This will help us evaluate your report quickly, especially if the issue is complex. - Whether this vulnerability is public or known to third parties. If it is, please provide details.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Sun Oct 01 06:06:35 GMT 2023 - 9.6K bytes - Viewed (0) -
.github/workflows/issue-on-pr-rollback.yml
# limitations under the License. # ============================================================================== name: Creates a GitHub Issue when a PR Rolled back via Commit to Master on: push: branches: - master permissions: {} jobs: create-issue-on-pr-rollback: runs-on: ubuntu-latest permissions: contents: read issues: write pull-requests: read if: |
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Sep 12 16:40:29 GMT 2023 - 1.5K bytes - Viewed (0) -
LICENSE
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise,
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ISSUES.md
If you open a GitHub Issue, here is our policy: 1. It must be a bug/performance issue or a feature request or a build issue or a documentation issue (for small doc fixes please send a PR instead). 1. Make sure the Issue Template is filled out. 1. The issue should be related to the repo it is created in. **Here's why we have this policy:** We want to focus on the work that benefits the whole community, e.g., fixing bugs and adding features. Individual support
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.github/ISSUE_TEMPLATE/tflite-other.md
name: TensorFlow Lite Other Issue description: Use this template to report any issue in TensorFlow Lite that is not about Converters, Play Services or Ops body: - type: dropdown id: issue-type attributes: label: Issue Type description: What type of issue would you like to report? multiple: false options: - Bug - Build/Install - Performance - Support - Feature Request - Documentation Feature Request - Documentation Bug - Others validations: required: true - type:
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
EXPECT_EQ(n, block_size); EXPECT_EQ(offset, 0); num_requests++; memset(buffer, 'x', n); notification.Notify(); // Wait for other thread to issue read. Env::Default()->SleepForMicroseconds(100000); // 0.1 secs TF_SetStatus(status, TF_OK, ""); return n; }; tf_gcs_filesystem::RamFileBlockCache cache(block_size, block_size, 0,
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:57 GMT 2021 - 23.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
} void ExecuteAdd(bool async, bool forward_input, bool tfrt) { #ifdef PLATFORM_WINDOWS // On windows, we flakily get a failure due to pointer instability. // Disable the 4 tests using this helper until we fix the issue. return; #else TF_Status* status = TF_NewStatus(); TFE_ContextOptions* opts = TFE_NewContextOptions(); TFE_ContextOptionsSetTfrt(opts, tfrt);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
configure.py
Returns: boolean value of the variable. Raises: UserInputError: if an environment variable is set, but it cannot be interpreted as a boolean indicator, assume that the user has made a scripting error, and will continue to provide invalid input. Raise the error to avoid infinitely looping. """ if not question:
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
.github/ISSUE_TEMPLATE/tflite-converter-issue.md
--- name: TensorFlow Lite Converter Issue about: Use this template for reporting issues during model conversion to TFLite labels: 'TFLiteConverter' --- ### 1. System information - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): - TensorFlow installation (pip package or built from source): - TensorFlow library (version, if pip package or github SHA, if built from source): ### 2. Code
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tensorflow/c/eager/parallel_device/parallel_device.cc
const char* tensor_handle_device = TFE_TensorHandleDeviceName(input, status); if (TF_GetCode(status) != TF_OK) return; if (named_device->name() == tensor_handle_device) { // We assume that any tensors already placed on this device are // ParallelTensors. typed_inputs.emplace_back(reinterpret_cast<ParallelTensor*>( TFE_TensorHandleDevicePointer(input, status)));
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