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ci/official/utilities/get_versions.sh
# nightly job. update_version.py affects TF_VER_SUFFIX, TF_VER_PYTHON, and # TF_VER_FULL. # Note: in awk, the command '/search/ {commands}' applies the commands to any line that # matches the /search/ regular expression. "print $N" prints the Nth "field", # where fields are strings separated by whitespace.
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README.md
* [TensorFlow Code Search](https://cs.opensource.google/tensorflow/tensorflow) Learn more about the [TensorFlow community](https://www.tensorflow.org/community) and how to [contribute](https://www.tensorflow.org/community/contribute). ## Courses * [Coursera](https://www.coursera.org/search?query=TensorFlow) * [Udacity](https://www.udacity.com/courses/all?search=TensorFlow)
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ci/official/utilities/extract_resultstore_links.py
current_url = None for i in range(len(log_lines)): line = log_lines[i] result_store_line_match = re.search(RESULT_STORE_LINK_RE, line) if not result_store_line_match: continue url = result_store_line_match.group(1) url_lines = result_store_links.setdefault(url, {}) # Each bazel RBE invocation should produce two # 'Streaming build results to: ...' lines, one at the start, and one at the
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ci/official/containers/linux_arm64/devel.usertools/squash_testlogs.py
try: r = JUnitXml.fromfile(f) except Exception as e: # pylint: disable=broad-except print("Ignoring this XML parse failure in {}: ".format(f), str(e)) source_file = re.search( r"/(bazel_pip|tensorflow)/.*", f.decode("utf-8") ).group(0) for testsuite in r: testsuite._elem.set("source_file", source_file) # Remove empty testcases
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
setup_file() { cd /tf/tensorflow bazel version # Start the bazel server } # Do a bazel query specifically for the licenses checker. It searches for # targets matching the provided query, which start with // or @ but not # //tensorflow (so it looks for //third_party, //external, etc.), and then # gathers the list of all packages (i.e. directories) which contain those
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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
grep --quiet -zoP 'is consistent with the following platform tag:\n"manylinux_2_17_(aarch|x86_)64"\.' audit.txt } @test "Wheel conforms to upstream size limitations" { WHEEL_MEGABYTES=$(stat --format %s "$TF_WHEEL" | awk '{print int($1/(1024*1024))}') # Googlers: search for "test_tf_whl_size" case "$TF_WHEEL" in # CPU: *cpu*manylinux*) LARGEST_OK_SIZE=220 ;; # GPU:
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ci/official/README.md
3. **Google employees only**: Google employees can use an internal-only tool called "MLCI" that makes testing more convenient: it can execute any full CI job against a pending change. Search for "MLCI" internally to find it. You may invoke a CI script of your choice by following these instructions: ```bash cd tensorflow-git-dir # Here is a single-line example of running a script on Linux to build the
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ci/official/utilities/rename_and_verify_wheels.sh
if [[ "$TFCI_WHL_SIZE_LIMIT_ENABLE" == "1" ]] && [[ -n "$(find . -iname "*.whl" -size "+$TFCI_WHL_SIZE_LIMIT")" ]]; then echo "Error: Generated wheel is too big! Limit is $TFCI_WHL_SIZE_LIMIT" echo '(search for TFCI_WHL_SIZE_LIMIT to change it)' ls -sh *.whl exit 2 fi # Quick install checks venv=$(mktemp -d) "python${TFCI_PYTHON_VERSION}" -m venv "$venv" python="$venv/bin/python3"
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configure.py
Args: environ_cp: copy of the os.environ. """ if is_ppc64le(): # gcc on ppc64le does not support -march, use mcpu instead default_cc_opt_flags = '-mcpu=native' elif is_windows(): default_cc_opt_flags = '/arch:AVX' else: # On all other platforms, no longer use `-march=native` as this can result # in instructions that are too modern being generated. Users that want
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CITATION.cff
cff-version: 1.2.0 message: "If you use TensorFlow in your research, please cite it using these metadata. Software is available from tensorflow.org." title: TensorFlow, Large-scale machine learning on heterogeneous systems
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