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tensorflow/api_template.__init__.py
""" Top-level module of TensorFlow. By convention, we refer to this module as `tf` instead of `tensorflow`, following the common practice of importing TensorFlow via the command `import tensorflow as tf`. The primary function of this module is to import all of the public TensorFlow interfaces into a single place. The interfaces themselves are located in sub-modules, as described below.
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
CONTRIBUTING.md
#### Running sanity check If you have Docker installed on your system, you can perform a sanity check on your changes by running the command: ```bash tensorflow/tools/ci_build/ci_build.sh CPU tensorflow/tools/ci_build/ci_sanity.sh ``` This will catch most license, Python coding style and BUILD file issues that may exist in your changes.
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.bazelrc
build:android --dynamic_mode=off # Sets the default Apple platform to macOS. build:macos --apple_platform_type=macos # gRPC on MacOS requires this #define build:macos --copt=-DGRPC_BAZEL_BUILD # Avoid hitting command line argument limit build:macos --features=archive_param_file # Settings for MacOS on ARM CPUs. build:macos_arm64 --cpu=darwin_arm64 build:macos_arm64 --macos_minimum_os=11.0
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RELEASE.md
* Display summaries of numeric tensor values with the `-s` flag to command `print_tensor` or `pt`. * Display feed values with the `print_feed` or `pf` command and clickable links in the curses UI. * Runtime profiler at the op level and the Python source line level with the `run -p` command. * Initial release of the statistical distribution library `tf.distributions`.
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tensorflow/BUILD
# On Linux, tell the linker (-Wl,<option>) to use a version script that # excludes all but a subset of function names. # On MacOS, the linker does not support version_script, but has an # an "-exported_symbols_list" command. -z defs disallows undefined # symbols in object files. tf_cc_shared_object( name = "tensorflow", linkopts = select({ "//tensorflow:macos": [
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configure.py
system_specific_test_config(environ_cp) configure_ios(environ_cp) print('Preconfigured Bazel build configs. You can use any of the below by ' 'adding "--config=<>" to your build command. See .bazelrc for more ' 'details.') config_info_line('mkl', 'Build with MKL support.') config_info_line( 'mkl_aarch64',
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