{"push_id":555306295,"size":2,"distinct_size":2,"ref":"refs/heads/singleNode","head":"09330b391ae3f62fc9cab800ae2a0c3547784fb5","before":"498acfd2971064d912999df40589037613025902","commits":[{"sha":"4aa637fa21fd07e83d5f5ab320058951f4a8294c","author":{"email":"a6c51e2db3486dc4c92e55ef7bc4b87017f4b9e6@mac","name":"pijika"},"message":"Refactor mnist-reading related methods. Now single-node NN shuffle training examples as always. Data parallelism read from pre-defined starting point (i.e. mnist index) in a sequence. No more jump. Turn momentum off because it does not work in the setting of async data parallelism and decentralised.","distinct":true,"url":"https://api.github.com/repos/BerkRider/ScalOutANN/commits/4aa637fa21fd07e83d5f5ab320058951f4a8294c"},{"sha":"09330b391ae3f62fc9cab800ae2a0c3547784fb5","author":{"email":"a6c51e2db3486dc4c92e55ef7bc4b87017f4b9e6@mac","name":"pijika"},"message":"LR = 0.08 and turn off momentum to rn experiment with sync centralised data parallelism again.","distinct":true,"url":"https://api.github.com/repos/BerkRider/ScalOutANN/commits/09330b391ae3f62fc9cab800ae2a0c3547784fb5"}]}