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ci/official/utilities/setup.sh
# limitations under the License. # ============================================================================== # # Common setup for all TF scripts. # # Make as FEW changes to this file as possible. It should not contain utility # functions (except for tfrun); use dedicated scripts instead and reference them # specifically. Use your best judgment to keep the scripts in this directory
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README.md
* Clone the TensorFlow repo and switch to the corresponding branch for your desired TensorFlow version, for example, branch `r2.8` for version 2.8. * Apply (that is, cherry-pick) the desired changes and resolve any code conflicts. * Run TensorFlow tests and ensure they pass. * [Build](https://www.tensorflow.org/install/source) the TensorFlow pip package from source. ## Continuous build status
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ci/README.md
The CI folder contains the configuration files and scripts used to build, test, and deploy TensorFlow. This folder is typically used by continuous integration (CI) tools to build and test TensorFlow whenever there is a change to the code. This folder is broken into subfolders that represent the level of support
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ci/official/containers/linux_arm64/build.sh
cd "$(dirname "$0")" if is_continuous_or_release || [[ -z "$KOKORO_BUILD_ID" ]]; then # A continuous job is the only one to publish to latest TAG="latest-multi-python" else # If it is a change, grab a good tag for iterative builds if [[ -z "${KOKORO_GITHUB_PULL_REQUEST_NUMBER}" ]]; then TAG=$(head -n 1 "$KOKORO_PIPER_DIR/presubmit_request.txt" | cut -d" " -f2) else
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ci/official/containers/linux_arm64/devel.usertools/squash_testlogs.py
# Remove empty testcases for p in testsuite._elem.xpath(".//testcase"): if not len(p): # pylint: disable=g-explicit-length-test testsuite._elem.remove(p) # Change "testsuite > testcase,system-out" to "testsuite > testcase > error" for p in testsuite._elem.xpath(".//system-out"): for c in p.getparent().xpath(".//error | .//failure"): c.text = p.text
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tensorflow/c/c_api.h
// Adds a copy of function `func` and optionally its gradient function `grad` // to `g`. Once `func`/`grad` is added to `g`, it can be called by creating // an operation using the function's name. // Any changes to `func`/`grad` (including deleting it) done after this method // returns, won't affect the copy of `func`/`grad` in `g`. // If `func` or `grad` are already in `g`, TF_GraphCopyFunction has no
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