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tensorflow/c/eager/gradients.h
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, absl::Span<AbstractTensorHandle* const> outputs,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K bytes - Viewed (0) -
RELEASE.md
* Add `tf.keras.layers.Identity`, a placeholder pass-through layer. * Add `show_trainable` option to `tf.keras.utils.model_to_dot` to display layer trainable status in model plots.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
tensorflow/c/eager/tape.h
for (const auto& pair : op_tape_) { pair.second.backward_function_deleter(pair.second.backward_function); } } // Returns whether any tensor in a list of tensors is being watched and has // a trainable dtype. bool ShouldRecord(absl::Span<const int64_t> tensor_ids, absl::Span<const tensorflow::DataType> dtypes) const; // Adds this tensor to the list of watched tensors. //
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