{"push_id":931044175,"size":11,"distinct_size":11,"ref":"refs/heads/birnn_fix","head":"04036d7e443da373cc151305ba81ffacafe85d13","before":"e094f8ce1781ee1aec0b7b77bffed7ce83ea581a","commits":[{"sha":"492e55ff2297dc13f5ed540056ad40603f2b1dd0","author":{"email":"365ec17a675f3273bc16c74761ad83f2cf07c59a@tensorflow.org","name":"A. Unique TensorFlower"},"message":"Add new parse_example functions that take namedtuple config objects, and prepend old API functions with \"legacy_\".\nChange: 111745511","distinct":true,"url":"https://api.github.com/repos/kentonl/tensorflow/commits/492e55ff2297dc13f5ed540056ad40603f2b1dd0"},{"sha":"60bccf654abc869b19b2ec58d021421ef9480445","author":{"email":"b175f6f9677daeb194e6cf3a485d8ddc15e849c8@tensorflow.org","name":"Josh Levenberg"},"message":"Drop macros.h from port.h now that everything that needs\nmacros.h #includes it directly.\nChange: 111775240","distinct":true,"url":"https://api.github.com/repos/kentonl/tensorflow/commits/60bccf654abc869b19b2ec58d021421ef9480445"},{"sha":"a6037e933fe8799c80f94decc9f5b178b833c1b8","author":{"email":"d38751ee48a144dccd4949c37af26aa95befa279@google.com","name":"Derek Murray"},"message":"Add better shape inference for `tf.zeros_like()` and `tf.ones_like()`.\n\nPreviously, partial shape information was discarded, because our\nconstant evaluation for (e.g.) `tf.shape(tf.placeholder([..., None,\n...]))` could not produce a Numpy array for the shape. Since the\n*_like wrappers have access to the input tensor, we can use\n`Tensor.set_shape()` to add back the partial information.\n\nFixes #744.\nChange: 111856452","distinct":true,"url":"https://api.github.com/repos/kentonl/tensorflow/commits/a6037e933fe8799c80f94decc9f5b178b833c1b8"},{"sha":"c1e0803e8419282f11136e46dadeb66bae0b9d13","author":{"email":"365ec17a675f3273bc16c74761ad83f2cf07c59a@tensorflow.org","name":"A. Unique TensorFlower"},"message":"Small change in wording.\nChange: 111861092","distinct":true,"url":"https://api.github.com/repos/kentonl/tensorflow/commits/c1e0803e8419282f11136e46dadeb66bae0b9d13"},{"sha":"681db2caf1fd48dfc85500817cd40cfde78dc67a","author":{"email":"b175f6f9677daeb194e6cf3a485d8ddc15e849c8@tensorflow.org","name":"Josh Levenberg"},"message":"Add note regarding when we can make parsing of AttrValue's holding an\nempty list more strict.  We had some convenient GraphDef version bumps\nat the relevant time.\nChange: 111863523","distinct":true,"url":"https://api.github.com/repos/kentonl/tensorflow/commits/681db2caf1fd48dfc85500817cd40cfde78dc67a"},{"sha":"96aa23e45e72bd765920cc957090ff453e25cf64","author":{"email":"bd6987f57ad8de8e4eeb793412cd14a6afe9dad2@google.com","name":"Vijay Vasudevan"},"message":"TensorFlow: remove simple executor state and has_control_flow flag everywhere.\nChange: 111871361","distinct":true,"url":"https://api.github.com/repos/kentonl/tensorflow/commits/96aa23e45e72bd765920cc957090ff453e25cf64"},{"sha":"38f54b55cdc66e12a2f6ce9d6724440e9738ac6f","author":{"email":"17ebeb0854afbca5c9e6f14dad26d1eeadc7e42e@gmail.com","name":"Benoit Steiner"},"message":"Upgraded to the latest version of Eigen, which fixes a compilation error as\nwell the crash reported in https://github.com/tensorflow/tensorflow/issues/713.\nChange: 111874622","distinct":true,"url":"https://api.github.com/repos/kentonl/tensorflow/commits/38f54b55cdc66e12a2f6ce9d6724440e9738ac6f"},{"sha":"cc30784d0ff5ae81e2cf75a4e081b0e2153456f8","author":{"email":"bd6987f57ad8de8e4eeb793412cd14a6afe9dad2@google.com","name":"Vijay Vasudevan"},"message":"Change: 111879963","distinct":true,"url":"https://api.github.com/repos/kentonl/tensorflow/commits/cc30784d0ff5ae81e2cf75a4e081b0e2153456f8"},{"sha":"b9db3b3d4a98acc9681b7d32f835fcf45686f04b","author":{"email":"bd6987f57ad8de8e4eeb793412cd14a6afe9dad2@google.com","name":"Vijay Vasudevan"},"message":"Change: 111880705","distinct":true,"url":"https://api.github.com/repos/kentonl/tensorflow/commits/b9db3b3d4a98acc9681b7d32f835fcf45686f04b"},{"sha":"d1b8333effdcb031e6e34a2835a2f1c877fdd79b","author":{"email":"bd6987f57ad8de8e4eeb793412cd14a6afe9dad2@google.com","name":"Vijay Vasudevan"},"message":"Merge commit for internal changes","distinct":true,"url":"https://api.github.com/repos/kentonl/tensorflow/commits/d1b8333effdcb031e6e34a2835a2f1c877fdd79b"},{"sha":"04036d7e443da373cc151305ba81ffacafe85d13","author":{"email":"611e2fea8bfcd2a92dcb39cdcea14eaf5645e60b@cs.washington.edu","name":"Kenton Lee"},"message":"Speeds up the bidirectional RNN by providing the sequence length to each RNN.\nFixes shape inference when using the sequence length.\nAdds tests for the bidirectional RNN when the sequence length or shape is not provided.","distinct":true,"url":"https://api.github.com/repos/kentonl/tensorflow/commits/04036d7e443da373cc151305ba81ffacafe85d13"}]}