{"push_id":831361717,"size":1,"distinct_size":1,"ref":"refs/heads/dev/torch-diverge","head":"3cc524b4926b48cb7a5cc6e52e785523913928a6","before":"4b02f1eb7971ca9799a33f4943cf48bf51bc726c","commits":[{"sha":"3cc524b4926b48cb7a5cc6e52e785523913928a6","author":{"email":"7c55a39df3f2caf2e852dae4b7066c85e85c2a84@nvidia.com","name":"Greg Heinrich"},"message":"Fix parsing of infinite loss in Torch\n\nLua uses 'inf' to represent infinite numbers. Additionally Torch may use\n'nan' in its representation of infinite values in Tensors.\n\nWe must catch both cases in the parsing of training and validation\nlosses.\n\nAdd test to verify functionality.","distinct":true,"url":"https://api.github.com/repos/gheinrich/DIGITS/commits/3cc524b4926b48cb7a5cc6e52e785523913928a6"}]}