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CODE_OF_CONDUCT.md
## Attribution
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ci/official/envs/rbe
# Enables RBE as long as RBE is available for the selected platform. # The "selected" platform is considered to be # TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX. "Available" means there is # an entry in tensorflow/.bazelrc for build:rbe_TFCI_BAZEL_TARGET... # ^^^^ # This env is only valid when RBE is available on the selected platform, since
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tensorflow/api_template.__init__.py
importlib.import_module("keras.src.optimizers") except (ImportError, AttributeError): pass del importlib # Delete modules that should be hidden from dir(). # Don't fail if these modules are not available. # For e.g. this file will be originally placed under tensorflow/_api/v1 which # does not have "python", "core" directories. Then, it will be copied # to tensorflow/ which does have these two directories. try:
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) -
tensorflow/c/eager/c_api_unified_experimental.cc
default_factory = GetFactories().find(name)->second; return absl::OkStatus(); } string msg = absl::StrCat( "No tracing engine factory has been registered with the key '", name, "' (available: "); // Ensure deterministic (sorted) order in the error message std::set<string> factories_sorted; for (const auto& factory : GetFactories()) factories_sorted.insert(factory.first); const char* comma = "";
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which # drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. #
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
+ __attribute_copy__ (name); /* This comes between the return type and function name in a function definition to make that definition weak. */ @@ -125,14 +131,16 @@ If weak aliases are not available, this defines a strong alias. */ # define weak_alias(name, aliasname) _weak_alias (name, aliasname) # define _weak_alias(name, aliasname) \ - extern __typeof (name) aliasname __attribute__ ((weak, alias (#name)));
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tensorflow/c/eager/c_api.h
// Destroy an options object. TF_CAPI_EXPORT extern void TFE_DeleteContextOptions(TFE_ContextOptions*); // "Context" under which operations/functions are executed. It encapsulates // things like the available devices, resource manager etc. // TFE_Context must outlive all tensor handles created using it. In other // words, TFE_DeleteContext() must be called after all tensor handles have // been deleted (with TFE_DeleteTensorHandle).
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ci/official/utilities/get_versions.sh
# Variables containing version strings extracted from the canonical sources: # tensorflow/core/public/version.h and tools/pip_package/setup.py. # # These variables aren't available by default. Scripts must source this file # explicitly, *after* checking if update_version.py needs to be run for a # nightly job. update_version.py affects TF_VER_SUFFIX, TF_VER_PYTHON, and # TF_VER_FULL.
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ci/official/utilities/generate_index_html.sh
<h2>Job Details</h2> <ul> <li>Job name: $KOKORO_JOB_NAME</li> <li>Job pool: $KOKORO_JOB_POOL</li> <li>Job ID: $KOKORO_BUILD_ID</li> <li>Current HEAD Piper Changelist, if any: cl/${KOKORO_PIPER_CHANGELIST:-not available}</li> <li>Pull Request Number, if any: ${KOKORO_GITHUB_PULL_REQUEST_NUMBER_tensorflow:- none}</li>
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README.md
[Device plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices). A smaller CPU-only package is also available: ``` $ pip install tensorflow-cpu ``` To update TensorFlow to the latest version, add `--upgrade` flag to the above commands. *Nightly binaries are available for testing using the [tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
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