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tensorflow/c/eager/parallel_device/parallel_device.cc
// // TODO(allenl): There may be smarter ways to do this copy in some // cases, i.e. with a collective broadcast. We'll need to be careful // about things that are taken as inputs on the host or on their // existing device (for multi-device functions). std::unique_ptr<ParallelTensor> parallel_tensor( parallel_device.CopyToParallelDevice(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/c_api.h
// // Design decisions made: // * Backing store for tensor memory has an associated deallocation // function. This deallocation function will point to client code // for tensors populated by the client. So the client can do things // like shadowing a numpy array. // * We do not provide TF_OK since it is not strictly necessary and we // are not optimizing for convenience. // * We make assumption that one session has one graph. This should be
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3)