OneFlow v0.5.0RC came out!

OneFlow is a performance-centered and open-source deep learning framework.

Welcome to use OneFlow v0.5.0RC, we would love to hear feedback!

Highlights

• First class support for eager execution. The deprecated APIs are moved to oneflow.compatible.single_client
• Drop-in replacement of import torch for existing Pytorch projects. You could test it by inter-changing import oneflow as torch and import torch as flow.
• nn.Module for eager execution
• nn.Graph for lazy execution
• DDP for data parallel

A sneak peek of the new API

Here is a minimum example showcasing how to incorporate a nn.Module in a nn.Graph and have it run in lazy mode.

class NeuralGraph(flow.nn.Graph):
    def __init__(self, ...):
        super().__init__()
        self.model = model # model is a nn.Module instance
    def build(self, x):
        y_pred = self.model(x)
        return y_pred
graph = NeuralGraph() # to create a nn.Graph instance
y_pred = graph(x) # to run the created nn.Graph

Full changelog link:https://github.com/Oneflow-Inc/oneflow/releases/tag/v0.5rc1

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