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ci/devinfra/docker_windows/Dockerfile
msys 'pacman --noconfirm -Syy coreutils curl dash file filesystem findutils'; \ msys 'pacman --noconfirm -Syy flex gawk gcc-libs grep gzip inetutils info'; \ msys 'pacman --noconfirm -Syy less lndir mintty ncurses pactoys-git patch'; \ msys 'pacman --noconfirm -Syy pax-git pkgfile rebase sed tar tftp-hpa time tzcode util-linux which'; \ $old_path = [Environment]::GetEnvironmentVariable(\"PATH\", \"Machine\"); \
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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
# `VERSION` parameter. # Note: 'Templatizing' this and the other conditional branches would require # defining several variables (version, os, path) making it difficult to maintain # and extend for future modifications. mkdir -p glibc-src mkdir -p glibc-build cd glibc-src
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tensorflow/c/experimental/grappler/grappler.h
TF_CAPI_EXPORT extern void TF_GetOutputPropertiesList( TF_GraphProperties* graph_properties, const char* name, TF_Buffer** properties, int num_values, TF_Status* status); // Helper to maintain a map between function names in a given // FunctionDefLibrary and function definitions. // Typical use case, is to look up an OpDef by type name. typedef struct TF_FunctionLibraryDefinition TF_FunctionLibraryDefinition;
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tensorflow/c/eager/c_api_experimental.h
TF_CAPI_EXPORT extern void TFE_ContextOptionsSetTfrt(TFE_ContextOptions*, bool use_tfrt); // Returns the context_id from the EagerContext which is used by the // EagerService to maintain consistency between client and worker. The // context_id is initialized with a dummy value and is later set when the worker // is initialized (either locally or remotely). The context_id can change during
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tensorflow/c/eager/gradients.h
}; // TODO(srbs): Figure out if we can avoid declaring this in the public header. // Wrapper for a tensor output of an operation executing under a tape. // // `GetID` returns a unique id for the wrapped tensor which is used to maintain // a map (`tensorflow::eager::TensorTape`) from the wrapped tensor to the id of // the op that produced it (or -1 if this tensor was watched using // `GradientTape::Watch`.) The op_id is simply a unique index assigned to each
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tensorflow/c/eager/immediate_execution_context.h
// List attributes of available devices virtual void ListDevices(std::vector<DeviceAttributes>* devices) = 0; // Add `devices` into context's device manager. Context's device manager // will take ownership and maintain devices' lifetime. virtual Status AddDevices(std::vector<std::unique_ptr<Device>> devices) = 0; // Block until all pending nodes are finished. virtual Status AsyncWait() = 0;
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// /// All pointers defined in this structure point to memory allocated by the DSO /// using an allocator provided by core TensorFlow when calling `TF_InitPlugin`. /// /// IMPORTANT: To maintain binary compatibility, the layout of this structure /// must not change! In the unlikely case that a new type of file needs to be /// supported, add the new ops and metadata at the end of the structure.
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RELEASE.md
distributed values. * Fixes various issues with saving a distributed model. ### `tf.keras`: * Improvements from the Functional API refactoring: * Functional model construction does not need to maintain a global workspace graph, removing memory leaks especially when building many models or very large models. * Functional model construction should be ~8-10% faster on average.
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