Just 16 people were killed by lightning in 2017. On average about 51 Americans die from strikes annually, although the total has decreased in recent years. This is in part because CPR is so widely practiced here. Your odds of surviving a lightning strike in the U.S. “Lightning Alley” between Orlando and Tampa is a particularly good place if you have limited time and want to maximize your odds. Behaviorally, it has lots of dudes fishing, some of whom are drinking beer, which does not increase common sense. Meteorologically, it has a subtropical climate, with almost daily thunderstorms. Geographically, the place has water on three sides. counties with the most lightning strikes, 14 are in Florida. The best place to get struck by lightning in the U.S. These won’t protect you from lightning, but they’ll keep your feet dry during the storm. Rubber doesn’t protect you from lightning strikes. Lightning is attracted not to metal but generally to the tallest thing in a given area. Metal does, however, conduct electricity efficiently, which is why you shouldn’t climb a field-goal post during a lightning storm or lick a downed electrical wire, even if there is no lightning. Think field-goal posts, TV towers, and the top eyelet of a fishing rod while casting in a boat on a lake. Lightning is attracted to the tallest thing around, which often happens to be metal. On the water is no place to be during a lightning storm. If you were lightning, you’d hit a fisherman, too. Think about it: You’re out on the water with nowhere to take shelter, and you’re the tallest thing around. According to the National Oceanic and Atmospheric Administration, between 20, 33 people were hit by lightning while fishing, more than any other outdoor activity. It’s because men spend more time outdoors, especially fishing, which turns out to be a great way to get zapped. That’s bad news for guys, but in this case, it has nothing to do with feminism. Men are nearly four times more likely to be killed by lightning than women. In addition the Lightning framework is Patent Pending.2. Please observe the Apache 2.0 license that is listed in this repository. Join our Slack and/or read our CONTRIBUTING guidelines to get help becoming a contributor! Contribute!īolts is supported by the PyTorch Lightning team and the PyTorch Lightning community! We suggest looking at our VISSL Flash integration for SSL based tasks. Use Lightning Flash to train, predict and serve state-of-the-art models for applied research. We'd like to encourage users to contribute general components that will help a broad range of problems, however components that help specifics domains will also be welcomed!įor example a callback to help train SSL models would be a great contribution, however the next greatest SSL model from your latest paper would be a good contribution to Lightning Flash. fit ( model ) Are specific research implementations supported? model = VisionModel () trainer = Trainer ( gpus = 1, callbacks = SparseMLCallback ( recipe_path = "recipe.yaml" )) trainer. from pytorch_lightning import LightningModule, Trainer import torchvision.models as models from pl_bolts.callbacks import SparseMLCallback class VisionModel ( LightningModule ): def _init_ ( self ): super (). We can introduce sparsity during fine-tuning with SparseML, which ultimately allows us to leverage the DeepSparse engine to see performance improvements at inference time. fit ( model ) Example 2: Introduce Sparsity with the SparseMLCallback to Accelerate Inference model = VisionModel () trainer = Trainer ( gpus = 1, callbacks = ORTCallback ()) trainer. from pytorch_lightning import LightningModule, Trainer import torchvision.models as models from pl_bolts.callbacks import ORTCallback class VisionModel ( LightningModule ): def _init_ ( self ): super (). Torch ORT converts your model into an optimized ONNX graph, speeding up training & inference when using NVIDIA or AMD GPUs.
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