test
Browse files
app.py
CHANGED
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@@ -164,10 +164,10 @@ class DynamicsVisualizer:
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cfg.sim.uniform = True
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cfg.sim.use_pv = False
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-
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self.cfg = cfg
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-
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self.k_rel = 8 # knn for relations
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self.k_wgt = 16 # knn for weights
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self.with_bg = True
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@@ -180,7 +180,7 @@ class DynamicsVisualizer:
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seed = cfg.seed
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random.seed(seed)
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np.random.seed(seed)
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-
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# torch.autograd.set_detect_anomaly(True)
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# torch.backends.cudnn.benchmark = True
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@@ -926,11 +926,6 @@ class DynamicsVisualizer:
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@spaces.GPU
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def reset(self):
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import warp as wp
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-
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device = torch.device('cuda:0')
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self.device = device
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torch.manual_seed(self.cfg.seed)
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wp.init()
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gpus = [int(gpu) for gpu in self.cfg.gpus]
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wp_devices = [wp.get_device(f'cuda:{gpu}') for gpu in gpus]
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cfg.sim.uniform = True
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cfg.sim.use_pv = False
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+
device = torch.device('cuda')
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self.cfg = cfg
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self.device = device
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self.k_rel = 8 # knn for relations
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self.k_wgt = 16 # knn for weights
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self.with_bg = True
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seed = cfg.seed
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random.seed(seed)
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np.random.seed(seed)
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torch.manual_seed(seed)
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# torch.autograd.set_detect_anomaly(True)
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# torch.backends.cudnn.benchmark = True
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@spaces.GPU
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def reset(self):
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import warp as wp
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wp.init()
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gpus = [int(gpu) for gpu in self.cfg.gpus]
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wp_devices = [wp.get_device(f'cuda:{gpu}') for gpu in gpus]
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