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Add support for mps DEVICE type #15

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Add support for mps DEVICE type #15

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2 changes: 1 addition & 1 deletion src/score_models/plot_utils.py
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Expand Up @@ -11,7 +11,7 @@
from scipy.special import logsumexp
from matplotlib.colors import Normalize

DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu")

# plt.style.use('dark_background')
plt.style.use('science')
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2 changes: 1 addition & 1 deletion src/score_models/toy_distributions.py
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Expand Up @@ -3,7 +3,7 @@
from torch.distributions import constraints
from torch import distributions as tfd

DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
DEVICE = torch.device("cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu")

def swiss_roll(modes=128, size=0.1, width=0.1, spread=0.7, device=DEVICE) -> tfd.Distribution:
"""
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3 changes: 1 addition & 2 deletions src/score_models/utils.py
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Expand Up @@ -3,8 +3,7 @@
import torch.nn as nn

DTYPE = torch.float32
DEVICE = torch.device('cuda:0' if torch.cuda.is_available() else "cpu")

DEVICE = torch.device('cuda:0' if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu")

def get_norm_layer(norm_type='instance'):
"""Return a normalization layer
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