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tensorflow/c/eager/tape.h
// If `persistent` is true, GradientTape will not eagerly delete backward // functions (and hence the tensors they keep alive). Instead, everything // is deleted in ~GradientTape. Persistent GradientTapes are useful when // users want to compute multiple gradients over the same tape. explicit GradientTape(bool persistent) : persistent_(persistent) {} ~GradientTape() { for (const auto& pair : op_tape_) {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/c_api_unified_experimental_internal.h
// Represents either a MlirTensor or a GraphTensor. // This base class does not expose any public methods other than to distinguish // which subclass it actually is. The user is responsible to use the right // type of AbstractTensor in their context (do not pass an MlirTensor to a // GraphContext and vice-versa). class TracingTensorHandle : public AbstractTensorHandle { protected:
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Nov 13 22:20:40 GMT 2020 - 5.2K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/filesystem_interface.h
/// /// Filesystem plugins can be loaded on demand by users via /// `Env::LoadLibrary` or during TensorFlow's startup if they are on certain /// paths (although this has a security risk if two plugins register for the /// same filesystem and the malicious one loads before the legimitate one - /// but we consider this to be something that users should care about and
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 17:36:54 GMT 2022 - 53.1K bytes - Viewed (0)