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tensorflow/c/eager/immediate_execution_distributed_manager.h
// Initializes context for the local worker and no contexts will be created // for remote workers. Currently this only works for resetting context. // TODO(b/289445025): Consider removing this when we find a proper fix. virtual Status InitializeLocalOnlyContext(const ServerDef& server_def, int keep_alive_secs) = 0; // Set up a multi-client distributed execution environment. Must be called
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
"somepath(//tensorflow/tools/pip_package:build_pip_package, " \ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cuda_driver + "\ "@local_config_cuda//cuda:cudnn + "\ "@local_config_cuda//cuda:curand + "\ "@local_config_cuda//cuda:cusolver + "\ "@local_config_tensorrt//:tensorrt)" --keep_going > $BATS_TEST_TMPDIR/out
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tensorflow/c/experimental/filesystem/BUILD
# Experimental filesystem C APIs for TensorFlow. # Will be moved in proper place once all filesystems are converted to the # modular framework. load("//tensorflow:tensorflow.bzl", "tf_cc_test") load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # This is only for plugins cc_library( name = "filesystem_interface",
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RELEASE.md
`tensorflow` pip package has a new, optional installation method for Linux that installs necessary Nvidia CUDA libraries through pip. As long as the Nvidia driver is already installed on the system, you may now run `pip install tensorflow[and-cuda]` to install TensorFlow's Nvidia CUDA library dependencies in the Python environment. Aside from the Nvidia driver, no other pre-existing Nvidia CUDA packages are necessary. * Enable JIT-compiled i64-indexed kernels on GPU for large tensors with more...
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// pointed to by the `void*` members is always owned by the plugin. The plugin /// will provide functions to call to allocate and deallocate this data (see /// next sections) and core TensorFlow ensures to call these at the proper time. /// /// Plugins will never receive a `TF_*` pointer that is `nullptr`. Core /// TensorFlow will never touch the `void*` wrapped by these structures, except /// to initialize it as `nullptr`.
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tensorflow/BUILD
visibility = ["//visibility:public"], ) # This condition takes precedence over :linux_x86_64 config_setting( name = "linux_x86_64_no_sse", values = { "cpu": "k8", "copt": "-mno-sse4.2", }, visibility = ["//visibility:public"], ) # This condition takes precedence over :linux_x86_64 # TODO(b/290533709): Remove this with PJRT build rule cleanup. config_setting(
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ci/devinfra/docker_windows/Dockerfile
sdkmanager 'cmake;3.6.4111459'; \ sdkmanager 'emulator'; \ sdkmanager 'system-images;android-27;google_apis;x86'; \ sdkmanager 'sources;android-27'; \ sdkmanager 'extras;google;Android_Emulator_Hypervisor_Driver'; \ sdkmanager 'extras;google;auto'; \ sdkmanager 'extras;google;google_play_services'; \ sdkmanager 'extras;google;instantapps'; \ sdkmanager 'extras;google;m2repository'; \
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ci/official/utilities/code_check_full.bats
--@local_config_cuda//:enable_cuda \ "somepath(//tensorflow/tools/pip_package:wheel, " \ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cuda_driver + "\ "@local_config_cuda//cuda:cudnn + "\ "@local_config_cuda//cuda:curand + "\ "@local_config_cuda//cuda:cusolver + "\ "@local_config_tensorrt//:tensorrt)" --keep_going > $BATS_TEST_TMPDIR/out
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.bazelrc
build:android --define=with_xla_support=false build:ios --define=with_xla_support=false # BEGIN TF REMOTE BUILD EXECUTION OPTIONS # Options when using remote execution # WARNING: THESE OPTIONS WONT WORK IF YOU DO NOT HAVE PROPER AUTHENTICATION AND PERMISSIONS # Allow creation of resultstore URLs for any bazel invocation build:resultstore --google_default_credentials build:resultstore --bes_backend=buildeventservice.googleapis.com
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tensorflow/c/c_api.h
// However since convenience is not a primary goal, we don't do this. // * Devices are not in this API. Instead, they are created/used internally // and the API just provides high level controls over the number of // devices of each type. #ifdef __cplusplus extern "C" { #endif // --------------------------------------------------------------------------
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