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.github/ISSUE_TEMPLATE/tflite-other.md
- type: dropdown id: source attributes: label: Source description: Tensorflow installed from options: - source - binary validations: required: true - type: input id: tfversion attributes: label: Tensorflow Version description: placeholder: ex,. tf 2.8 validations: required: true - type: dropdown id: Code attributes: label: Custom Code description: options: - "Yes" - "No" validations: required: true
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ci/official/wheel_test/README.md
to the `../wheel_test/` directory. ### How it Works in the Presubmit Job `_requirements_lock` files will be generated by the presubmit job. A detailed description will be provided once it's integrated into presubmit. ### test_import_api_packages This Python test verifies whether the API v2 packages can be imported from the
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tensorflow/c/c_api_internal.h
// session has been run (this is detected in RecordMutation function). If the // string is empty, no mutation has occurred. Otherwise the string is a // description of the mutation suitable for returning to the user. // // Sessions are added to this map in TF_NewSession, and removed in // TF_DeleteSession. // TF_Graph may only / must be deleted when
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tensorflow/c/eager/c_api_experimental_reader_test.cc
CHECK_EQ(actual, 1); } TFE_MonitoringCounter0* CreateCounter0(const char* counter_name) { TF_Status* status = TF_NewStatus(); auto* counter = TFE_MonitoringNewCounter0(counter_name, status, "description"); TF_DeleteStatus(status); return counter; } void IncrementCounter0(TFE_MonitoringCounter0* counter, int64_t delta) { auto* cell = TFE_MonitoringGetCellCounter0(counter);
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.github/workflows/release-branch-cherrypick.yml
# on that branch for a workflow.yml file, and we'd have to cherry-pick # this file into those branches. release_branch: description: 'Release branch name (e.g. r2.9)' required: true type: string git_commit: description: 'Git commit to cherry-pick' required: true type: string permissions: contents: read jobs: cherrypick:
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tensorflow/c/experimental/grappler/BUILD
# Description: # Graph C API. load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") load( "//tensorflow:tensorflow.bzl", "tf_cc_test", ) package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) cc_library( name = "grappler_hdrs", hdrs = ["grappler.h"], visibility = ["//tensorflow:internal"], deps = [
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.github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml
label: Bazel version description: If compiling from source - type: input id: Compiler attributes: label: GCC/compiler version description: If compiling from source - type: input id: Cuda attributes: label: CUDA/cuDNN version - type: input id: Gpu attributes: label: GPU model and memory description: If compiling from source - type: textarea
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ci/official/wheel_test/test_import_api_packages.py
""" import logging import unittest import pkg_resources logging.basicConfig(level=logging.INFO) class ImportApiPackagesTest(unittest.TestCase): """ImportApiPackagesTest class. See description at the top of the file.""" def setUp(self): def _get_api_packages_v2(): api_packages_path = pkg_resources.resource_filename( "tensorflow", "_api/v2/api_packages.txt" )
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SECURITY.md
security vulnerabilities. Please include the following information along with your report: - A descriptive title - Your name and affiliation (if any). - A description of the technical details of the vulnerabilities. - A minimal example of the vulnerability. It is very important to let us know how we can reproduce your findings. For memory corruption triggerable in
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tensorflow/c/eager/c_api_experimental_reader.h
// read current values from streamz counters defined in other modules. // // The code under test will have created streamz counters like this: // auto* streamz = tensorflow::monitoring::Counter<1>::New("name", // "description", "label"); // and then incremented that counter for various values of label: // streamz->GetCell("label-value")->IncrementBy(1); // // The test code can then read and test the value of that counter: //
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