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tensorflow/c/eager/gradients.h
// earlier call to `GradientTape::Watch` or being an output of an op with // watched inputs. void Watch(const AbstractTensorHandle*); // Records an operation with given inputs and outputs // on the tape and marks all its outputs as watched if at // least one input of the op is watched and has a trainable dtype. // op_name is optional and is used for debugging only. void RecordOperation(absl::Span<AbstractTensorHandle* const> inputs,
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RELEASE.md
Lianmin Zheng, liuyuanqiang, Louis Sugy, Mahmoud Abuzaina, Marius Brehler, mdfaijul, Meenakshi Venkataraman, Milos Puzovic, mohantym, Namrata-Ibm, Nathan John Sircombe, Nathan Luehr, Olaf Lipinski, Om Thakkar, Osman F Bayram, Patrice Vignola, Pavani Majety, Philipp Hack, Prianka Liz Kariat, Rahul Batra, RajeshT, Renato Golin, riestere, Roger Iyengar, Rohit Santhanam, Rsanthanam-Amd, Sadeed Pv, Samuel Marks, Shimokawa, Naoaki, Siddhesh Kothadi, Simengliu-Nv,
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tensorflow/c/eager/tape.h
// Looks up the ID of a Gradient. virtual int64_t TensorId(Gradient* tensor) const = 0; // Converts a Gradient to a TapeTensor. virtual TapeTensor TapeTensorFromGradient(Gradient* gradient) const = 0; // Marks the following gradient as a result so it's not consumed by backward // functions. virtual void MarkAsResult(Gradient* gradient) const = 0; // Deletes the input tensor.
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