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import gradio as gr |
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import spaces |
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import torch |
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print('cuda avaliable: ' + str(torch.cuda.is_available())) |
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zero = torch.Tensor([0]).cuda() |
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print('zero device: ' + str(zero.device)) |
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one = torch.ones(2, 2, device='cuda') |
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print('one device: ' + str(one.device)) |
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two = torch.matmul(one, one).cuda() |
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print('two device: ' + str(two.device)) |
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xpu_res = torch.ones(2, 2, device='xpu') |
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print('xpu_res device: ' + str(xpu_res.device)) |
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@spaces.GPU |
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def greet(n): |
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print('zero device: ' + str(zero.device)) |
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print('one device: ' + str(one.device)) |
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print('two device: ' + str(two.device)) |
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print('xpu_res device: ' + str(xpu_res.device)) |
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return f"Hello {zero + n} Tensor" |
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gr.Interface(fn=greet, inputs=gr.Number(), outputs=gr.Text()).launch() |
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