forked from mrq/tortoise-tts
expose VRAM easily
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3dd5cad324
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@ -47,19 +47,19 @@ def get_device(verbose=False):
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return torch.device(name)
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def get_device_batch_size():
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def get_device_vram( name=get_device_name() ):
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available = 1
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name = get_device_name()
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if name == "dml":
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# there's nothing publically accessible in the DML API that exposes this
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# there's a method to get currently used RAM statistics... as tiles
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available = 1
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elif name == "cuda":
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if name == "cuda":
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_, available = torch.cuda.mem_get_info()
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elif name == "cpu":
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available = psutil.virtual_memory()[4]
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return available
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def get_device_batch_size(name=None):
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available = get_device_vram(name)
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vram = available / (1024 ** 3)
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# I'll need to rework this better
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# simply adding more tiers clearly is not a good way to go about it
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