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ci/official/envs/py39
Austin Anderson <******@****.***> 1704849822 -0800
Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Wed Jan 10 19:39:41 GMT 2024 - 713 bytes - Click Count (0) -
ci/official/README.md
# 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) # Ex. 2: TFCI=py39,linux_x86,rbe (continuous job) # Non-Googlers should replace "nightly_upload" or "rbe" with # "public_cache,disk_cache". # Googlers should replace "nightly_upload" with "public_cache,disk_cache" or
Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Thu Feb 01 03:21:19 GMT 2024 - 8K bytes - Click Count (0) -
scripts/docs.py
langs.append(lang_path.name) print(json.dumps(langs)) @app.command() def generate_docs_src_versions_for_file(file_path: Path) -> None: target_versions = ["py39", "py310"] base_content = file_path.read_text(encoding="utf-8") previous_content = {base_content} for target_version in target_versions: version_result = subprocess.run( [
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sun Dec 21 17:40:17 GMT 2025 - 16.9K bytes - Click Count (0) -
ci/official/installer_wheel.sh
fi # This generates a pure python wheel of the format "*-py3-none-any.whl" bazel run --HERMETIC_PYTHON_VERSION=3.13 //tensorflow/tools/pip_package:setup_py_binary -- bdist_wheel --dist-dir "$TFCI_OUTPUT_DIR" # Get the name of the pure python wheel that was built. This should # resolve to either # 1. tensorflow-a.b.c-py3-none-any.whl or, for nightly builds, # 2. tf_nightly-a.b.c.devYYYYMMDD-py3-none-any.whl
Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Tue Mar 04 22:39:12 GMT 2025 - 3.5K bytes - Click Count (0) -
README.md
**Raspberry Pi 2 and 3** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/rpi23-py3.html) | [Py3](https://storage.googleapis...
Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Fri Jul 18 14:09:03 GMT 2025 - 11.6K bytes - Click Count (0) -
tensorflow/BUILD
root_file_name = "v2.py", root_init_template = "api_template.__init__.py", visibility = ["//visibility:public"], ) py_strict_library( name = "tensorflow_py", srcs_version = "PY3", visibility = ["//visibility:public"], deps = [ ":tensorflow_py_no_contrib", "//tensorflow/lite/python:analyzer", "//tensorflow/lite/python:lite",
Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Wed Nov 12 19:21:56 GMT 2025 - 53.1K bytes - Click Count (0) -
RELEASE.md
[TensorFlow's Docker images](https://hub.docker.com/r/tensorflow/tensorflow/) provide Python 3 exclusively. Because all images now use Python 3, Docker tags containing `-py3` will no longer be provided and existing `-py3` tags like `latest-py3` will not be updated. ## Major Features and Improvements * Replaced the scalar type for string tensors from `std::string` to `tensorflow::tstring` which is now ABI stable.Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Tue Oct 28 22:27:41 GMT 2025 - 740.4K bytes - Click Count (3)