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tensorflow/c/eager/parallel_device/BUILD
licenses = ["notice"], ) # Currently pybind extension shared objects must use only C API headers since # the C API has static initializers duplicated in the Python bindings. So we # need a second rule that omits .cc files, in # tensorflow/python:_pywrap_parallel_device. filegroup( name = "lib_headers", srcs = ["parallel_device_lib.h"], ) filegroup( name = "lib_sources", srcs = ["parallel_device_lib.cc"], )
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CONTRIBUTING.md
issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If you want to debug a kernel, you can compile specific files with `-g` using the `--per_file_copt` bazel option. For example, if you want to debug the Identity op, which are in files starting with `identity_op`, you can run ```bash
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WORKSPACE
install_deps() # Initialize the TensorFlow repository and all dependencies. # # 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()
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ci/official/requirements_updater/updater.sh
# limitations under the License. # ============================================================================== # script to run pip-compile for each requirement. # if there is a change in requirements.in then all lock files will be updated # accordingly # All commands run relative to this directory cd "$(dirname "${BASH_SOURCE[0]}")" mv BUILD.bazel BUILD SUPPORTED_VERSIONS=("3_9" "3_10" "3_11" "3_12")
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tensorflow/c/BUILD
"//tensorflow/core/platform:blocking_counter", "@com_google_absl//absl/strings", "@local_xla//xla/tsl/c:tsl_status_internal", ], alwayslink = 1, ) exports_files( [ "version_script.lds", "exported_symbols.lds", ], visibility = ["//visibility:public"], ) filegroup( name = "checkpoint_reader_hdrs", srcs = [
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tensorflow/BUILD
get_compat_files(TENSORFLOW_API_INIT_FILES_V1, 1) + get_nested_compat_files([ 1, 2, ]) ) TENSORFLOW_API_INIT_FILES_V1 = ( TENSORFLOW_API_INIT_FILES_V1 + get_compat_files(TENSORFLOW_API_INIT_FILES, 2) + get_compat_files(TENSORFLOW_API_INIT_FILES_V1, 1) + get_nested_compat_files([ 1, 2, ]) ) # copybara:comment_end
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ci/official/utilities/rename_and_verify_wheels.sh
set -euxo pipefail cd "$TFCI_OUTPUT_DIR" # Move extra wheel files somewhere out of the way. This script # expects just one wheel file to exist. if [[ "$(ls *.whl | wc -l | tr -d ' ')" != "1" ]]; then echo "More than one wheel file is present: moving the oldest to" echo "$TFCI_OUTPUT_DIR/extra_wheels." # List all .whl files by their modification time (ls -t) and move anything
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ci/official/requirements_updater/release_updater.sh
# ============================================================================== # script to run pip-compile for keras, tensorboard, estimator deps. # if there is a change in requirements.in then all lock files will be updated # accordingly. mv BUILD.bazel BUILD SUPPORTED_VERSIONS=("3_9" "3_10" "3_11" "3_12") for VERSION in "${SUPPORTED_VERSIONS[@]}" do
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ci/official/wheel.sh
tfrun ./ci/official/utilities/rename_and_verify_wheels.sh if [[ "$TFCI_ARTIFACT_STAGING_GCS_ENABLE" == 1 ]]; then # Note: -n disables overwriting previously created files. gsutil cp -n "$TFCI_OUTPUT_DIR"/*.whl "$TFCI_ARTIFACT_STAGING_GCS_URI" fi if [[ "$TFCI_WHL_BAZEL_TEST_ENABLE" == 1 ]]; then
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RELEASE.md
available. You can start using it via `model.save(f"{fname}.keras", save_format="keras_v3")`. In the future it will become the default for all files with the `.keras` extension. This file format targets the Python runtime only and makes it possible to reload Python objects identical to the saved originals. The format supports non-numerical state such as vocabulary files and lookup tables, and it is easy to customize in the case of custom layers with exotic elements of state (e.g. a FIFOQueue). The format...
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