forked from ccf-ai-infra/GPUCodeForces
24 lines
456 B
Python
24 lines
456 B
Python
import torch
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import torch.nn as nn
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class Model(nn.Module):
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def __init__(self):
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super(Model, self).__init__()
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def forward(self, values: torch.Tensor, returns: torch.Tensor) -> torch.Tensor:
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loss = ((values - returns) ** 2).mean()
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return loss
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batch_size = 32
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def get_inputs():
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values = torch.randn(batch_size)
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returns = torch.randn(batch_size)
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return [values, returns]
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def get_init_inputs():
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return [] |