{"push_id":895085767,"size":2,"distinct_size":2,"ref":"refs/heads/master","head":"4c717c6ac35519e6d5eef11b9b5384847e5fdd89","before":"095f1988a0adf1733e73c2cca7c436a76612cda1","commits":[{"sha":"ddd4aaf5286de24ba70402ee0ec8b836d3aed8c7","author":{"email":"bd6987f57ad8de8e4eeb793412cd14a6afe9dad2@google.com","name":"Vijay Vasudevan"},"message":"TensorFlow: upstream changes to git.\n\nChange 109695551\n\tUpdate FAQ\nChange 109694725\n\tAdd a gradient for resize_bilinear op.\nChange 109694505\n\tDon't mention variables module in docs\n\n\tvariables.Variable should be tf.Variable.\nChange 109658848\n\tAdding an option to create a new thread-pool for each session.\nChange 109640570\n\n\tTake the snapshot of stream-executor.\n\t+ Expose an interface for scratch space allocation in the interface.\n\nChange 109638559\n\tLet image_summary accept uint8 input\n\n\tThis allows users to do their own normalization / scaling if the default\n\t(very weird) behavior of image_summary is undesired.\n\n\tThis required a slight tweak to fake_input.cc to make polymorphically typed\n\tfake inputs infer if their type attr is not set but has a default.\n\n\tUnfortunately, adding a second valid type to image_summary *disables* automatic\n\timplicit conversion from np.float64 to tf.float32, so this change is slightly\n\tbackwards incompatible.\nChange 109636969\n\tAdd serialization operations for SparseTensor.\nChange 109636644\n\tUpdate generated Op docs.\nChange 109634899\n\tTensorFlow: add a markdown file for producing release notes for our\n\treleases.  Seed with 0.5.0 with a boring but accurate description.\nChange 109634502\n\tLet histogram_summary take any realnumbertype\n\n\tIt used to take only floats, not it understands ints.\nChange 109634434\n\tTensorFlow: update locations where we mention python 3 support, update\n\tthem to current truth.\nChange 109632108\n\tMove HSV <> RGB conversions, grayscale conversions, and adjust_* ops back to tensorflow\n\t- make GPU-capable version of RGBToHSV and HSVToRGB, allows only float input/output\n\t- change docs to reflect new size constraints\n\t- change HSV format to be [0,1] for all components\n\t- add automatic dtype conversion for all adjust_* and grayscale conversion ops\n\t- fix up docs\nChange 109631077\n\tImprove optimizer exceptions\n\n\t1. grads_and_vars is now a tuple, so must be wrapped when passed to format.\n\t2. Use '%r' instead of '%s' for dtype formatting\n\nBase CL: 109697989","distinct":true,"url":"https://api.github.com/repos/tensorflow/tensorflow/commits/ddd4aaf5286de24ba70402ee0ec8b836d3aed8c7"},{"sha":"4c717c6ac35519e6d5eef11b9b5384847e5fdd89","author":{"email":"bd6987f57ad8de8e4eeb793412cd14a6afe9dad2@google.com","name":"Vijay Vasudevan"},"message":"Merge commits from internal.","distinct":true,"url":"https://api.github.com/repos/tensorflow/tensorflow/commits/4c717c6ac35519e6d5eef11b9b5384847e5fdd89"}]}