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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// loaded, we can only check for availability after all arguments have been // parsed. // // Furthermore, as `INSTANTIATE_TEST_SUITE_P` needs to be at global level and we // don't want to have a `std::vector<std::string>` at global level, we use a // static pointer to such a vector: we construct it via `SchemeVector()` below // and when tests are instantiated we process it using `GetSchemes()`.
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ci/official/containers/linux_arm64/Dockerfile
RUN /setup.python.sh python3.12 devel.requirements.txt FROM devel as tf # Setup TF Python environment. COPY devel.requirements.txt /devel.requirements.txt COPY setup.python.sh /setup.python.sh RUN /setup.python.sh python3.9 devel.requirements.txt RUN /setup.python.sh python3.10 devel.requirements.txt RUN /setup.python.sh python3.11 devel.requirements.txt RUN /setup.python.sh python3.12 devel.requirements.txt
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CONTRIBUTING.md
and [GPU developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile) for the required packages. Alternatively, use the said [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build) (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no
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.github/workflows/osv-scanner-scheduled.yml
--lockfile=requirements.txt:./requirements_lock_3_12.txt --lockfile=requirements.txt:./ci/official/containers/linux_arm64/devel.requirements.txt --lockfile=requirements.txt:./ci/official/containers/linux_arm64/jax.requirements.txt
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# Find all one-step dependencies of those tests which are from //tensorflow # (since external deps will come from Python-level pip dependencies), # excluding dependencies and files that are known to be unneccessary. # This creates a list of targets under //tensorflow that are required for # TensorFlow python tests.
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tensorflow/api_template.__init__.py
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """ 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`.
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CODE_OF_CONDUCT.md
contributors and maintainers pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. ## Our Standards Examples of behavior that contributes to creating a positive environment include:
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
#define _XLOCALE_H 1 +#ifndef _BITS_TYPES___LOCALE_T_H +#define _BITS_TYPES___LOCALE_T_H 1 + /* Structure for reentrant locale using functions. This is an (almost) opaque type for the user level programs. The file and this data structure is not standardized. Don't rely on it. It can @@ -41,4 +44,6 @@ typedef struct __locale_struct /* POSIX 2008 makes locale_t official. */ typedef __locale_t locale_t;
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ci/official/README.md
### Brief System Overview The top-level scripts and utility scripts should be fairly well-documented. Here is a brief explanation of how they tie together: 1. `envs/*` are lists of variables made with bash syntax. A user must set a `TFCI` env param pointing to a list of `env` files. 2. `utilities/setup.sh`, initialized by all top-level scripts, reads and sets values from those `TFCI` paths.
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tensorflow/c/c_api.cc
#include "tensorflow/core/platform/thread_annotations.h" #include "tensorflow/core/platform/types.h" #include "tensorflow/core/public/session.h" #include "tensorflow/core/public/version.h" // The implementation below is at the top level instead of the // brain namespace because we are defining 'extern "C"' functions. using tensorflow::AttrValueMap; using tensorflow::DataType; using tensorflow::ExtendSessionGraphHelper; using tensorflow::FullTypeDef;
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