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path: root/tensorflow/python/eager/backprop.py
Commit message (Expand)AuthorAge
* Throw error when evaluating have variable target in GradientTape.Gravatar Tamara Norman2018-10-09
* Move TPU variables to the TPU device in TPUStrategy.Gravatar Jonathan Hseu2018-09-28
* Wrap forward and backward pass in a defun for L2HMC.Gravatar Akshay Modi2018-09-24
* Allow the tape tensor to have unknown shapes.Gravatar Akshay Modi2018-09-19
* Only start_step/end_step on GradientTape if executing eagerly.Gravatar Alexandre Passos2018-09-18
* Remove some dead code after migration from python to C.Gravatar Akshay Modi2018-09-17
* Add missing `watch` call to GradientTape documentation.Gravatar Akshay Agrawal2018-09-17
* GradientTape: Documentation formatting tweak.Gravatar Asim Shankar2018-09-17
* Fix issue where re-entering a GradientTape context clears the tapeGravatar A. Unique TensorFlower2018-09-07
* Support not automatically watching (trainable) accessed variables in Gradient...Gravatar Tom Hennigan2018-09-07
* Set Vspace only one timeGravatar Akshay Modi2018-09-06
* Only watch tensors on the current tape rather than all of them.Gravatar Tom Hennigan2018-09-01
* Fix API rendering of Args, Returns, Raises in gradients functions.Gravatar Dustin Tran2018-08-20
* Add a benchmark for forward+backward for defuns.Gravatar Akshay Modi2018-08-17
* Remove usage of magic-api-link syntax from source files.Gravatar Mark Daoust2018-08-09
* Allows differentiating tfe.defun functions with loops in eager mode.Gravatar Alexandre Passos2018-08-08
* Allow setting server_def directly on TFE_Context.Gravatar Akshay Modi2018-08-03
* Do not panic on type annotations in python3 for layers / functions passed to TF.Gravatar Alexandre Passos2018-08-02
* Don't cache zero tensors in graph at allGravatar Akshay Modi2018-07-24
* Improvement resource variable documentation.Gravatar Alexandre Passos2018-07-24
* GradientTape.stop_recording should be temporaryGravatar Akshay Modi2018-07-10
* Include eager/graph mode in cache key so that one type of tensor doesn't spillGravatar Akshay Modi2018-06-28
* Update backprop.py (#19804)Gravatar An Jiaoyang2018-06-06
* Sort variables in C++ instead of Python.Gravatar Tom Hennigan2018-05-28
* Remove _get_backward_fn and depend on _gradient_function directly.Gravatar Akshay Modi2018-05-24
* s/tfe.GradientTape/tf.GradientTape/Gravatar Asim Shankar2018-05-21
* Rename private push/pop API and use from `stop_recording` method.Gravatar Tom Hennigan2018-05-17
* Methods to stop and reset tf.GradientTape()Gravatar Alexandre Passos2018-05-17
* Add performance notes for in-context gradient calls.Gravatar Tom Hennigan2018-05-15
* Do not differentiate integers in the eager backprop API.Gravatar Alexandre Passos2018-05-10
* Automated g4 rollback of changelist 195878952Gravatar Asim Shankar2018-05-10
* Do not differentiage integers in the eager API.Gravatar Alexandre Passos2018-05-08
* Fix typos in tf.GradientTape documentation.Gravatar Tom Hennigan2018-04-30
* Fixes to tape gradient for providing outputs and having multiple targets.Gravatar Alexandre Passos2018-04-30
* Apply "Raise exception in SWIG on bad TF_Status" to base.iGravatar Akshay Modi2018-04-03
* Support structured source in GradientTape.gradientGravatar Igor Ganichev2018-03-28
* Clarify eager gradient doc stringsGravatar Igor Ganichev2018-03-26
* Clarify doc strings on gradient methodsGravatar Igor Ganichev2018-03-26
* tf.GradientTape: Clearly say that tf.while_loop and tf.cond are not supportedGravatar Asim Shankar2018-03-26
* Export tf.GradientTapeGravatar Asim Shankar2018-03-19
* Documentation tweaks and tests for GradientTape with graph execution.Gravatar Asim Shankar2018-03-19
* Improvement to eager linear regression benchmarkGravatar Akshay Modi2018-03-06
* Optionally have persistent make_vjpGravatar A. Unique TensorFlower2018-02-22
* Move sorting of variables from the implicit_grad family of functionsGravatar A. Unique TensorFlower2018-02-21
* Record gradient in CGravatar Akshay Modi2018-02-21
* Add cache for _zeros in backpropGravatar Akshay Modi2018-02-13
* Changes behavior of optimizer.minimize(loss) when loss is a function.Gravatar Alexandre Passos2018-02-08
* Improvements to eager linear regression benchmark:Gravatar Alexandre Passos2018-01-26
* Immutable differentiable tf lists.Gravatar Alexandre Passos2018-01-12
* Fix for graph execution of gradients_functionGravatar Allen Lavoie2018-01-10
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