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  1. RELEASE.md

            [`tf.distribute.experimental.PreemptionCheckpointHandler`](https://www.tensorflow.org/api_docs/python/tf/distribute/experimental/PreemptionCheckpointHandler)
            to handle worker preemption/maintenance and cluster-wise consistent
            error reporting for `tf.distribute.MultiWorkerMirroredStrategy`.
            Specifically, for the type of interruption with advance notice, it
    Plain Text
    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Mon Apr 29 19:17:57 GMT 2024
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  2. tensorflow/c/eager/c_api_experimental.h

                                                         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
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Wed Feb 21 22:37:46 GMT 2024
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  3. tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc

        if (gcs_file->stat_cache->Lookup(path, &stat)) {
          if (offset + read < stat.base.length) {
            TF_SetStatus(status, TF_INTERNAL,
                         absl::StrCat("File contents are inconsistent for file: ",
                                      path, " @ ", offset)
                             .c_str());
          }
          TF_VLog(2, "Successful integrity check for: %s @ %u", path.c_str(),
                  offset);
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Wed Aug 23 06:55:53 GMT 2023
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  4. tensorflow/c/experimental/filesystem/filesystem_interface.h

    /// the 3 types of files. In all other cases, there is no need to modify the
    /// address of the opaque data pointer, hence the wrapper pointer is marked
    /// `const`.
    ///
    /// For consistency, the arguments on all these functions follow the same
    /// pattern: first we have the opaque pointer argument ("this" above), then the
    /// input arguments, then the in-out arguments (if any) and we finish the
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri May 27 17:36:54 GMT 2022
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  5. tensorflow/c/eager/parallel_device/parallel_device_lib.h

                                                           TFE_TensorHandle* tensor,
                                                           TF_Status* status) const;
    
      // Construct a parallel tensor consisting of the scalar values from `values`.
      template <typename DataType>
      std::unique_ptr<ParallelTensor> ScalarsFromSequence(
          absl::Span<const DataType> values, TFE_Context* context,
          TF_Status* status) const;
    
    C
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    - Last Modified: Tue Apr 25 15:21:13 GMT 2023
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  6. tensorflow/c/eager/parallel_device/parallel_device_lib.cc

                            const int in_flight_nodes_limit)
          : status_(TF_NewStatus()),
            // If the context's default exector is set to async, re-using that in
            // each thread would cause collectives to deadlock. For consistency we
            // create a new sync executor for every thread.
            //
            // TODO(allenl): We should have an async API that works with the
            // parallel device.
            device_(device),
            executor_(
    C++
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    - Last Modified: Fri Feb 09 07:47:20 GMT 2024
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  7. tensorflow/c/c_api.h

    //   In C++ bool is a keyword while in C99 bool is a macro defined
    //   in stdbool.h. It is possible for the two to be inconsistent.
    //   For example, neither the C99 nor the C++11 standard force a byte
    //   size on the bool type, so the macro defined in stdbool.h could
    //   be inconsistent with the bool keyword in C++. Thus, the use
    //   of stdbool.h is avoided and unsigned char is used instead.
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Oct 26 21:08:15 GMT 2023
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