Anton Fedotov

Separate `Predictor` to `Predictor` and `DataProducerPredictor`. `Predictor` just init model and provide an interface to predict one item, `DataProducerPredictor` - provides an interface to predict all data from `DataProducer` object....

Now in np user do Trainer(..., device=torch.device('cuda)). It's good but bad when we try to pass unexpected data to device. Need to make possible use callback for this + create...

* Make possible to share calculation between metrics * Make plots grouping more intuitive * Add function to restore metrics from log * Make possible to disable/enable histogram

Frequently we need to extract part of dataset for test network for example. We need to implement this feature in DataProducer, cause it'll make possible to not change dataset class....

It's really useful to manage and customize console output by separated class. Also, this makes possible to include some info to console: * Real and model forward fps * Some...

Need to add continue from best checkpoint option to Predictor

Add a guide about execution performance

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This need after 0.2 performance increase release. Need to add to documentation guide about how to use Neural Pipeline more effective.