{"push_id":1293234423,"size":289,"distinct_size":289,"ref":"refs/heads/r0.10_user_op_warp_ctc","head":"f147dab3448b0c907a6381b1ae1311896931e95a","before":"dfbdb8eb53db7c41f8acaa03fd8345029b72519c","commits":[{"sha":"053fc50b2cbb1979cbed1662c3d964c36fdafecd","author":{"name":"A. Unique TensorFlower","email":"e98e13e3575714383428ea9d5f0e5a10257e907a@tensorflow.org"},"message":"Refactor common linear algebra op helper classes to a single base class and make it more flexible by allowing matrix operations with any number of input and output arguments. Get rid of binary_linalg_ops_common.* which was mostly code duplicated from UnaryLinearAlgebraOp.\n\nBy providing commonly used code for shape validation and cost model a lot of duplicated code in the individual ops can be deleted.\n\nUpdate all linear algebra ops to use the new interface.\n\nThis is in preparation for adding linear algebra ops with multiple outputs, such as SVD.\nChange: 128502636","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/053fc50b2cbb1979cbed1662c3d964c36fdafecd"},{"sha":"a36e322c69111cc74af417a26df3fddd3d0b9a6c","author":{"name":"Vijay Vasudevan","email":"3060d341afef839ae011bb1dbe99cb83284f8314@google.com"},"message":"Annotate shape functions for all no_outputs currently specified\nin Python.\nChange: 128508247","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/a36e322c69111cc74af417a26df3fddd3d0b9a6c"},{"sha":"d32a5cd25c6d8e0bbb5c337dc3cdda56fb5d69de","author":{"name":"A. Unique TensorFlower","email":"e98e13e3575714383428ea9d5f0e5a10257e907a@tensorflow.org"},"message":"Update ops-related pbtxt files.\nChange: 128509645","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/d32a5cd25c6d8e0bbb5c337dc3cdda56fb5d69de"},{"sha":"25684f20e482bc979fd5fbdd7189fdbad375a4b3","author":{"name":"A. Unique TensorFlower","email":"e98e13e3575714383428ea9d5f0e5a10257e907a@tensorflow.org"},"message":"Adding (forgotten) fingerprint_test.cc to the TF test suite and ensuring it passes.\nChange: 128512257","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/25684f20e482bc979fd5fbdd7189fdbad375a4b3"},{"sha":"4d8254783c7500445c04cce4c4c1e1ae9b46c691","author":{"name":"Benoit Steiner","email":"db9cd1a82198e60e420d13a32df0e34ccccf5267@google.com"},"message":"Deleted dead code\nChange: 128512747","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/4d8254783c7500445c04cce4c4c1e1ae9b46c691"},{"sha":"9b077c069e2d350e610e2f339d4f6094caba5445","author":{"name":"Andrew Selle","email":"29562042cf07d63e600c467651dccf8eebcdecb7@google.com"},"message":"Fix two striding slicing grad bugs\n - shape was not properly pinned HostMemory\n - shape was not type checked before using templatized accessors\n - added tests that would have catched these errors\n - added strided_slice to documentation to export it to tf\nChange: 128514920","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/9b077c069e2d350e610e2f339d4f6094caba5445"},{"sha":"ec102d9f74690993c7c68569bfa8069f87caa788","author":{"name":"A. Unique TensorFlower","email":"e98e13e3575714383428ea9d5f0e5a10257e907a@tensorflow.org"},"message":"Update generated Python Op docs.\nChange: 128515739","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/ec102d9f74690993c7c68569bfa8069f87caa788"},{"sha":"d6ffea69b3b13de8b9620989d8b91f6d3c961190","author":{"name":"A. Unique TensorFlower","email":"e98e13e3575714383428ea9d5f0e5a10257e907a@tensorflow.org"},"message":"Change assignment_map in 'init_from_checkpoint' so it can support initializing partitioned variables by passing in list of tf.Variables. Also, move contrib/learn/python/learn/utils/checkpoints.py to contrib/framework/python/framework/checkpoint_utils.py\nChange: 128516396","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/d6ffea69b3b13de8b9620989d8b91f6d3c961190"},{"sha":"daa18e62995a388957a25a4ea3221d2d121af16e","author":{"name":"Vijay Vasudevan","email":"3060d341afef839ae011bb1dbe99cb83284f8314@google.com"},"message":"Add UnchangedShapeWithRank functions to all existing python uses.\nChange: 128520519","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/daa18e62995a388957a25a4ea3221d2d121af16e"},{"sha":"d79dd70648e3978a194f37f425ffbcf610bdd840","author":{"name":"Vijay Vasudevan","email":"3060d341afef839ae011bb1dbe99cb83284f8314@google.com"},"message":"Add shape functions for some of the quantization ops.\nChange: 128520578","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/d79dd70648e3978a194f37f425ffbcf610bdd840"},{"sha":"91d404476acc79b680685105b9d0eae0704a87d0","author":{"name":"Brian Williammee","email":"ee213e8fed54131eaacce8c5bfd0d9317a463452@google.com"},"message":"scalar_mul: avoid conflicts between float32 and float32_ref\n\nFollowing code currently doesn't work, and should:\n\nvar = tf.Variable(10.0)\nmul = tf.scalar_mul(3, var)\nChange: 128527661","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/91d404476acc79b680685105b9d0eae0704a87d0"},{"sha":"d3c0b946631379881083e0ce9f71faaadd651d34","author":{"name":"A. Unique TensorFlower","email":"e98e13e3575714383428ea9d5f0e5a10257e907a@tensorflow.org"},"message":"Add ability to warm start embedding weights and crossed column weights from a provided checkpoint.\nChange: 128531220","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/d3c0b946631379881083e0ce9f71faaadd651d34"},{"sha":"ab1b65fb5e6e7a1436b9a5edaedfe08d91c3ca80","author":{"name":"A. Unique TensorFlower","email":"e98e13e3575714383428ea9d5f0e5a10257e907a@tensorflow.org"},"message":"Use realtime so that we measure against wall time.\nChange: 128537175","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/ab1b65fb5e6e7a1436b9a5edaedfe08d91c3ca80"},{"sha":"12105a295cab401f9677e2a117dbb4d644ee5b85","author":{"name":"A. Unique TensorFlower","email":"e98e13e3575714383428ea9d5f0e5a10257e907a@tensorflow.org"},"message":"Internal change\nChange: 128538233","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/12105a295cab401f9677e2a117dbb4d644ee5b85"},{"sha":"3a1bf1829da77d20adc574b01c168c599380351a","author":{"name":"Benoit Steiner","email":"db9cd1a82198e60e420d13a32df0e34ccccf5267@google.com"},"message":"Added a gradient for the check_numeric operation. This makes it possible to\nembed numerical checks in a model without blocking the backpropagation of\ngradients.\nChange: 128540139","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/3a1bf1829da77d20adc574b01c168c599380351a"},{"sha":"bcd81a4ceb171de978c8abc4379056a96ebee370","author":{"name":"Yutaka Leon","email":"48aee34e35b53a6301dd2b35d824f1cf67c6bc4d@google.com"},"message":"Log values of the config used by the Estimator.\nChange: 128557194","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/bcd81a4ceb171de978c8abc4379056a96ebee370"},{"sha":"6339f8348cb19b9393447b2a59352f44a2c1a518","author":{"name":"Ian Langmore","email":"207439441cf462e81f65bc6965cdf59aa257d5b1@google.com"},"message":"OperatorPDVDVTSqrtUpdate, MultivariateNormalDiagPlusVDVT.  Define a multivariate normal by the sqrt of covariance: S = M + V D V^T, M is diagonal.\nChange: 128587968","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/6339f8348cb19b9393447b2a59352f44a2c1a518"},{"sha":"1a1554fdaacbd25c708fa60614cfeb590d868c8b","author":{"name":"A. Unique TensorFlower","email":"e98e13e3575714383428ea9d5f0e5a10257e907a@tensorflow.org"},"message":"Code and data for tf.contrib.learn monitors tutorial.\nChange: 128588838","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/1a1554fdaacbd25c708fa60614cfeb590d868c8b"},{"sha":"7178e9e18fb358e3502d760b8a48ab882e79ed98","author":{"name":"A. Unique TensorFlower","email":"e98e13e3575714383428ea9d5f0e5a10257e907a@tensorflow.org"},"message":"Update generated Python Op docs.\nChange: 128588963","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/7178e9e18fb358e3502d760b8a48ab882e79ed98"},{"sha":"497dfa6b80abf304e0ef86fc09e1f3f2f8c69a7c","author":{"name":"A. Unique TensorFlower","email":"e98e13e3575714383428ea9d5f0e5a10257e907a@tensorflow.org"},"message":"New tutorial on tf.contrib.learn monitors.\nChange: 128589916","distinct":true,"url":"https://api.github.com/repos/MISingularity/tensorflow/commits/497dfa6b80abf304e0ef86fc09e1f3f2f8c69a7c"}]}
{"actor":{"display_login":"plutoshe"}}