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ci/official/requirements_updater/WORKSPACE
# buildifier: disable=load-on-top workspace(name = "requirements_updater") # buildifier: disable=load-on-top load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") http_archive( name = "bazel_skylib", sha256 = "74d544d96f4a5bb630d465ca8bbcfe231e3594e5aae57e1edbf17a6eb3ca2506", urls = [
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WORKSPACE
# # The cascade of load() statements and tf_workspace?() calls works around the # restriction that load() statements need to be at the top of .bzl files. # E.g. we can not retrieve a new repository with http_archive and then load() # a macro from that repository in the same file. load("@//tensorflow:workspace3.bzl", "tf_workspace3") tf_workspace3() load("@//tensorflow:workspace2.bzl", "tf_workspace2") tf_workspace2()
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ci/official/wheel_test/WORKSPACE
# buildifier: disable=load-on-top workspace(name = "wheel_test") # buildifier: disable=load-on-top load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") http_archive( name = "bazel_skylib", sha256 = "74d544d96f4a5bb630d465ca8bbcfe231e3594e5aae57e1edbf17a6eb3ca2506", urls = [ "https://storage.googleapis.com/mirror.tensorflow.org/github.com/bazelbuild/bazel-skylib/releases/download/1.3.0/bazel-skylib-1.3.0.tar.gz",
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models.BUILD
licenses(["notice"]) # Apache 2.0 filegroup( name = "model_files", srcs = glob( [ "**/*", ], exclude = [ "**/BUILD", "**/WORKSPACE", "**/LICENSE", "**/*.zip", ], ),
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configure.py
if is_windows(): set_windows_build_flags(environ_cp) if get_var(environ_cp, 'TF_SET_ANDROID_WORKSPACE', 'android workspace', False, ('Would you like to interactively configure ./WORKSPACE for ' 'Android builds?'), 'Searching for NDK and SDK installations.', 'Not configuring the WORKSPACE for Android builds.'): create_android_ndk_rule(environ_cp) create_android_sdk_rule(environ_cp)
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.bazelignore
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # The requirements updater has its own WORKSPACE file
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ci/official/requirements_updater/README.md
`tensorflow/tools/toolchains/python/python_repo.bzl`. \ While this isn't necessary for running the updater, it is required for actually using the new version with Tensorflow. 2) In the `WORKSPACE` file, add the new version to the `python_versions` parameter of the `python_register_multi_toolchains` function. 3) In the `BUILD.bazel` file, add a load statement for the new version, e.g. ```
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.bazelrc
build:elinux_armhf --copt -mfp16-format=ieee # Config-specific options should come above this line. # Load rc file written by ./configure. try-import %workspace%/.tf_configure.bazelrc try-import %workspace%/xla_configure.bazelrc # Load rc file with user-specific options. try-import %workspace%/.bazelrc.user # Here are bazelrc configs for release builds # Build TensorFlow v2. test:release_base --test_size_filters=small,medium
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.gitignore
/tensorflow/lite/tools/make/gen/** /api_init_files_list.txt /estimator_api_init_files_list.txt *.whl # Android .gradle .idea *.iml local.properties gradleBuild # iOS *.pbxproj *.xcworkspace /*.podspec /tensorflow/lite/**/coreml/**/BUILD /tensorflow/lite/**/ios/BUILD /tensorflow/lite/**/objc/BUILD /tensorflow/lite/**/swift/BUILD /tensorflow/lite/examples/ios/simple/data/*.tflite
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CONTRIBUTING.md
which case remember to change the directory from `/root` to `/tensorflow` once you get into the running container so `bazel` can find the `tensorflow` workspace). you can do this by using the following command. As an example- ```bash docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10 ```
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