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Author
Age
*
Add the plumbing for an autograph flag to defun. Disabled and experimental fo...
Dan Moldovan
2018-10-05
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Minor speed improvements to defun.
Akshay Modi
2018-10-01
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Clean-up of function.py.
Lasse Espeholt
2018-09-24
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Prototype for the functions-not-sessions implementation.
Alexandre Passos
2018-09-21
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Copy Tensor._handle_data from external_capture to placeholder for Variant ten...
Saurabh Saxena
2018-09-19
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Allow the tape tensor to have unknown shapes.
Akshay Modi
2018-09-19
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eager: Graceful failure on invalid inputs.
Asim Shankar
2018-09-12
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Allow gradients() calls from inside a tfe.defun wrt captured tensors.
Skye Wanderman-Milne
2018-09-05
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Switch cond_v2 to using tfe.defun instead of function.Defun.
Skye Wanderman-Milne
2018-08-23
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Remove graph_callable.py and all references to it.
Akshay Agrawal
2018-08-20
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Add an optional input signature for functions generated with defun.
Akshay Agrawal
2018-08-06
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Fix //tensorflow/python/eager:memory_test in python 3
Allen Lavoie
2018-07-24
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eager: Add a benchmark to contrast subclassed and functional keras models.
Asim Shankar
2018-07-24
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Add missing numpy header dependency to pywrap_tfe_lib
Gunhan Gulsoy
2018-06-18
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Add a test that checks memory usage by running a model 100k times.
Akshay Modi
2018-06-13
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Remove _get_backward_fn and depend on _gradient_function directly.
Akshay Modi
2018-05-24
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Internal cleanup to remove a difference from the code on github.
A. Unique TensorFlower
2018-05-23
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Delete old op gen code and replace with eager op gen.
Akshay Modi
2018-05-09
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Include tensorflow::DataType header file
Akshay Modi
2018-05-09
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Add FunctionTest.testLayerInDefun
Igor Ganichev
2018-04-12
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Remove all_opensource_files. It's not needed any more.
Martin Wicke
2018-03-28
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tf.GradientTape: Clearly say that tf.while_loop and tf.cond are not supported
Asim Shankar
2018-03-26
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gradients: Export tf.custom_gradients
Asim Shankar
2018-03-05
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Internal change.
Anna R
2018-01-30
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Reducing op overhead for eager.
Akshay Modi
2018-01-22
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Fix tf.identity(resource variable) with eager execution and a device
A. Unique TensorFlower
2017-12-04
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Removes eager memory trace. Has been broken and unrunnable for a while (since...
Alexandre Passos
2017-11-15
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Internal change.
Anna R
2017-11-14
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Moves imperative_grad to C
Alexandre Passos
2017-11-10
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Refactor eager benchmarks to subclass Benchmark.
Akshay Agrawal
2017-11-06
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tfe.enable_eager_execution fails only if graphs have been created.
Alexandre Passos
2017-10-19
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Fixes test breakage.
Alexandre Passos
2017-10-18
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Pass context handle, device name to EagerTensor constructor in
Akshay Agrawal
2017-10-17
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Implement set_shape for EagerTensors for compatibiity with ops that call it
Akshay Agrawal
2017-10-16
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imperative_grad takes the tape instead of popping it.
Alexandre Passos
2017-10-13
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Ports the eager gradient tape to C.
Alexandre Passos
2017-10-13
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eager: Fix issue with custom_gradients and implicit_gradients.
Asim Shankar
2017-10-13
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Watch trainable variables in graph_callable decorated functions
Akshay Agrawal
2017-10-13
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Start of work towards ordering access to resources in tfe.defun/graph_callable.
Alexandre Passos
2017-10-05
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Add srcs_version="PY2AND3"
Allen Lavoie
2017-10-05
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Splits backprop.py in two files, one of which can be converted to C
Alexandre Passos
2017-10-05
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TFE: Fix tf.layers.Flatten
Shanqing Cai
2017-10-02
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Move EagerTensor from python to C.
A. Unique TensorFlower
2017-09-30
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Remove RTLD_GLOBAL when loading pywrap_tensorflow
Allen Lavoie
2017-09-21
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Move Python sequence -> TensorFlow Tensor conversion from
A. Unique TensorFlower
2017-09-16
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Remove dependency on autograd from tf.
Alexandre Passos
2017-09-14
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eager: fixes build rule; adds requisite srcs_version field.
Ali Yahya
2017-09-13
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eager: exposes graph_callable.
Ali Yahya
2017-09-13
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Generate error (instead of segfault) when trying to copy string tensor
A. Unique TensorFlower
2017-09-12
*
Resurrects autograd-free eager gradients.
Alexandre Passos
2017-09-12
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