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backprop_test.py
Commit message (
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Author
Age
*
Make defun work under distributed strategies.
Igor Ganichev
2018-10-09
*
Throw error when evaluating have variable target in GradientTape.
Tamara Norman
2018-10-09
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Allow the tape tensor to have unknown shapes.
Akshay Modi
2018-09-19
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Fix issue where re-entering a GradientTape context clears the tape
A. Unique TensorFlower
2018-09-07
*
Support not automatically watching (trainable) accessed variables in Gradient...
Tom Hennigan
2018-09-07
*
Allow creating a py EagerTensor that shares the underlying TensorHandle.
Akshay Modi
2018-09-05
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Test cleanups
Asim Shankar
2018-09-04
*
Only watch tensors on the current tape rather than all of them.
Tom Hennigan
2018-09-01
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Remove explicit tape watching in backprop tests.
Tom Hennigan
2018-08-30
*
Don't cache zero tensors in graph at all
Akshay Modi
2018-07-24
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When in graph mode read will force a tape recording.
Alexandre Passos
2018-07-20
*
GradientTape.stop_recording should be temporary
Akshay Modi
2018-07-10
*
Include eager/graph mode in cache key so that one type of tensor doesn't spill
Akshay Modi
2018-06-28
*
Replace unnecessary `()` in `run_in_graph_and_eager_modes()`.
Tom Hennigan
2018-06-22
*
Fixes issue with gradient tape when asking for the gradient of an intermediat...
Alexandre Passos
2018-05-21
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Methods to stop and reset tf.GradientTape()
Alexandre Passos
2018-05-17
*
Add performance notes for in-context gradient calls.
Tom Hennigan
2018-05-15
*
Do not differentiate integers in the eager backprop API.
Alexandre Passos
2018-05-10
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Automated g4 rollback of changelist 195878952
Asim Shankar
2018-05-10
*
Do not differentiage integers in the eager API.
Alexandre Passos
2018-05-08
*
Fixes to tape gradient for providing outputs and having multiple targets.
Alexandre Passos
2018-04-30
*
Support structured source in GradientTape.gradient
Igor Ganichev
2018-03-28
*
tf.GradientTape: Clearly say that tf.while_loop and tf.cond are not supported
Asim Shankar
2018-03-26
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Documentation tweaks and tests for GradientTape with graph execution.
Asim Shankar
2018-03-19
*
Clarifying when is it possible to use a tape while it is still active.
Alexandre Passos
2018-03-15
*
gradients: Export tf.custom_gradients
Asim Shankar
2018-03-05
*
Fix bug calling gradients_function inside custom_gradient
Alexandre Passos
2018-02-26
*
Optionally have persistent make_vjp
A. Unique TensorFlower
2018-02-22
*
Fix for graph execution of gradients_function
Allen Lavoie
2018-01-10
*
implicit_gradients always sorts its return values by variable creation order
Alexandre Passos
2017-12-20
*
Fix reference counts when watching variables (eager tape)
Allen Lavoie
2017-12-15
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Plug an eager memory leak, add tests for reference counts.
Allen Lavoie
2017-12-15
*
None gradients should trigger stopping traversal of the backward graph in tap...
Alexandre Passos
2017-12-01
*
Add persistent GradientTape support
Igor Ganichev
2017-11-22
*
Do not swallow exceptions in gradient functions in eager.
Alexandre Passos
2017-11-20
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Raise RuntimeError when GradientTape.gradient is called more than once
Igor Ganichev
2017-11-10
*
Moves imperative_grad to C
Alexandre Passos
2017-11-10
*
Report a nicer error message when differentiating a function
Akshay Agrawal
2017-10-30
*
Fix issue with gradients of functions which return multiple values.
Alexandre Passos
2017-10-27
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custom_gradient functions should be able to return their inputs
Alexandre Passos
2017-10-27
*
Support general callables in backprop.
Alexandre Passos
2017-10-25
*
Makes gradients_function exception-safe.
Alexandre Passos
2017-10-23
*
Avoid silent variable sharing with ResourceVariable class.
A. Unique TensorFlower
2017-10-20
*
One less error message in gradients_function
Alexandre Passos
2017-10-19
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Context-manager-based gradient API
Alexandre Passos
2017-10-19
*
Replace as_gpu_tensor and as_cpu_tensor to gpu and cpu
A. Unique TensorFlower
2017-10-18
*
EagerTensor.__array__
Alexandre Passos
2017-10-17
*
Reworks the imperative_grad interface.
Alexandre Passos
2017-10-17
*
make_vjp in eager
Alexandre Passos
2017-10-16
*
Proper use of convert_to_tensor in custom_gradient
Alexandre Passos
2017-10-16
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