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RELEASE.md
Ashutosh Hathidara, autoih, Ayushman Kumar, ayushmankumar7, Bairen Yi, Bas Aarts, Bastian Eichenberger, Ben Barsdell, bhack, Bharat Raghunathan, Biagio Montaruli, Bigcat-Himax, blueyi, Bryan Cutler, Byambaa, Carlos Hernandez-Vaquero, Chen Lei, Chris Knorowski, Christian Clauss, chuanqiw, CuiYifeng, Daniel Situnayake, Daria Zhuravleva, Dayananda-V, Deven Desai, Devi
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// acquires each thread in order (and so only one Execute will schedule // blocking collective operations at a time), and avoids some dynamic // allocation/scheduling. // // TODO(allenl): Keep a map from outer thread to list of inner threads rather // than a single list of threads so aliased nested parallel devices don't // re-use a thread. std::vector<std::unique_ptr<DeviceThread>> device_threads_;
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// If backward_tape is not null, then this call to Accumulate is the result // of a still-active call to Accumulate which is running operations. We // forward these operations to backward_tape so the outer Accumulate call // can do its work. // // Rather than re-entering and delegating Accumulate like this, we could // instead allow ForwardAccumulator some control over the current tape set
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