[NeoML] DistributedTraining uses IsDnnInferenced #1110
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Signed-off-by: Kirill Golikov <[email protected]>
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Previously, if you did a
RunOnce(even on random data) before aRunAndBackward, it would no longer be afirstRunand you could send batches as you wish. So you could never learn some extra dnn. Now you can not.All dnns must have
paramBlobsinitialized to runsolver->Train()for all of them (at leastRunOncemust be completed for each dnn for this to happen).The
solver->Train()must run for all dnns because all dnns must have the sameparamBlobsin each epoch.