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.github/workflows/release-branch-cherrypick.yml
# Usage: Go to # https://github.com/tensorflow/tensorflow/actions/workflows/release-branch-cherrypick.yml # and click "Run Workflow." Leave "Use Workflow From" set to "master", then # input the branch name and paste the cherry-pick commit and click Run. A PR # will be created. name: Release Branch Cherrypick on: workflow_dispatch: inputs:
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Sep 12 14:49:29 GMT 2023 - 3.1K bytes - Viewed (0) -
ci/official/README.md
# are all settings for the scripts. TF's CI jobs are all made of a combination # of these env files. # # If you've clicked on a test result from our CI (via a dashboard or GitHub link), # click to "Invocation Details" and find BUILD_CONFIG, which will contain a TFCI # value in the "env_vars" list that you can choose to copy that environment. # Ex. 1: TFCI=py311,linux_x86_cuda,nightly_upload (nightly job)
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
[&env]() { return env->NowSeconds(); }); // Execute the first read to load the block. TF_EXPECT_OK(ReadCache(&cache1, "", 0, 1, &out)); EXPECT_EQ(calls, 1); // Now advance the clock one second at a time and redo the read. The call // count should advance every 3 seconds (i.e. every time the staleness is // greater than 2). for (int i = 1; i <= 10; i++) { env->SetNowSeconds(i + 1);
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