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* Reworks the imperative_grad interface.Gravatar Alexandre Passos2017-10-17
* Better error message for eager-specific APIsGravatar A. Unique TensorFlower2017-10-16
* Implement set_shape for EagerTensors for compatibiity with ops that call itGravatar Akshay Agrawal2017-10-16
* make_vjp in eagerGravatar Alexandre Passos2017-10-16
* Proper use of convert_to_tensor in custom_gradientGravatar Alexandre Passos2017-10-16
* imperative_grad takes the tape instead of popping it.Gravatar Alexandre Passos2017-10-13
* Ports the eager gradient tape to C.Gravatar Alexandre Passos2017-10-13
* eager: Fix issue with custom_gradients and implicit_gradients.Gravatar Asim Shankar2017-10-13
* Watch trainable variables in graph_callable decorated functionsGravatar Akshay Agrawal2017-10-13
* eager: Fix an issue with tf.identity.Gravatar Asim Shankar2017-10-10
* Improve Eager mode random numbers.Gravatar A. Unique TensorFlower2017-10-10
* Cache last zero tensor in eager gradient computationGravatar Igor Ganichev2017-10-09
* TFE: Fix reference counts when copying to Numpy arrays.Gravatar Allen Lavoie2017-10-09
* New CUDA kernel for LSTMBlockCell's forward propagation.Gravatar A. Unique TensorFlower2017-10-09
* TFE: Fix reference counts when copying to Numpy arrays.Gravatar Allen Lavoie2017-10-09
* Removing side outputs from tape code.Gravatar Alexandre Passos2017-10-09
* Validate input shapes for the graph_callable decoratorGravatar Akshay Agrawal2017-10-09
* eager: Compute num_gpus() correctly.Gravatar Asim Shankar2017-10-06
* Convert shape to TensorShape when creating _VariableFromResourceGravatar Akshay Agrawal2017-10-06
* Fuse TFE_NewOp and TFE_OpGetAttrType to avoid leaking memory.Gravatar Allen Lavoie2017-10-06
* Start of work towards ordering access to resources in tfe.defun/graph_callable.Gravatar Alexandre Passos2017-10-05
* eager: Release Python GIL when executing kernels.Gravatar Asim Shankar2017-10-05
* Add srcs_version="PY2AND3"Gravatar Allen Lavoie2017-10-05
* Splits backprop.py in two files, one of which can be converted to CGravatar Alexandre Passos2017-10-05
* imperative_gradient doesn't fail if some variables are not connected to the o...Gravatar Alexandre Passos2017-10-05
* Removes use of _grad_fn_accepts_none_for_indices in magic_gradient_function.Gravatar Alexandre Passos2017-10-05
* Make graph_callable compatible with functions that do not return anythingGravatar Akshay Agrawal2017-10-04
* Internal cleanupGravatar A. Unique TensorFlower2017-10-04
* Added get variable utils to tf.estimator.Estimator.Gravatar Mustafa Ispir2017-10-04
* Internal cleanupGravatar A. Unique TensorFlower2017-10-04
* Make graph_callable, defun tf_decoratorsGravatar Akshay Agrawal2017-10-03
* Removes unnecessary eager-mode call to convert_to_tensor in record_gradient.Gravatar Alexandre Passos2017-10-03
* Preserve target function signature in custom_gradient decoratorGravatar Akshay Agrawal2017-10-03
* Internal cleanup.Gravatar A. Unique TensorFlower2017-10-03
* get_variable in graph_callable returns Variable objects and not Tensors.Gravatar Alexandre Passos2017-10-03
* Makes custom_gradient work in graph mode.Gravatar Alexandre Passos2017-10-03
* TFE: Fix tf.layers.FlattenGravatar Shanqing Cai2017-10-02
* Add arg name to "op does not support eager execution" error.Gravatar A. Unique TensorFlower2017-10-02
* Move EagerTensor from python to C.Gravatar A. Unique TensorFlower2017-09-30
* Merge changes from github.Gravatar A. Unique TensorFlower2017-09-28
* eager: Remove tfe.device, tf.device suffices.Gravatar Asim Shankar2017-09-28
* Optimize eager PTB memory to be similar to graph oneGravatar A. Unique TensorFlower2017-09-26
* Add libtensorflow_framework.so to a bunch of genrulesGravatar Allen Lavoie2017-09-22
* eager: Fix bug in tfe.gradients_function().Gravatar Asim Shankar2017-09-21
* Remove RTLD_GLOBAL when loading pywrap_tensorflowGravatar Allen Lavoie2017-09-21
* eager: Bugfix for tfe.gradients_function() involving the "Pow" operator.Gravatar Asim Shankar2017-09-21
* TFE: Simplify code example in backprop.pyGravatar Shanqing Cai2017-09-19
* Pass around the eager context object instead of getting itGravatar A. Unique TensorFlower2017-09-19
* TF Eager: Avoid creating some unnecessary zeros during backprop.Gravatar A. Unique TensorFlower2017-09-18
* TFE: Add default value back to params of value_and_gradients_functionGravatar Shanqing Cai2017-09-18