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Replace all instances of ray.readthedocs.io with ray.io (#7994)

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Robert Nishihara
2020-04-13 16:17:05 -07:00
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python/ray/util/sgd/torch/examples/benchmarks/README.rst
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@@ -3,7 +3,7 @@ Running benchmarks
RaySGD provides comparable or better performance than other existing solutions for parallel or distributed training.
You can run ``ray/python/ray/util/sgd/torch/examples/benchmarks/benchmark.py`` for benchmarking the RaySGD TorchTrainer implementation. To benchmark training on a multi-node multi-gpu cluster, you can use the `Ray Autoscaler <https://ray.readthedocs.io/en/latest/autoscaling.html#aws>`_.
You can run ``ray/python/ray/util/sgd/torch/examples/benchmarks/benchmark.py`` for benchmarking the RaySGD TorchTrainer implementation. To benchmark training on a multi-node multi-gpu cluster, you can use the `Ray Autoscaler <https://docs.ray.io/en/latest/autoscaling.html#aws>`_.
DISCLAIMER: RaySGD does not provide any custom communication primitives. If you see any performance issues, you may need to file them on the PyTorch github repository.