forked from ccf-ai-infra/GPUCodeForces
31 lines
705 B
Python
31 lines
705 B
Python
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import torch
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import torch.nn as nn
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class Model(nn.Module):
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"""
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Simple model that performs a ReLU activation.
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"""
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def __init__(self):
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super(Model, self).__init__()
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def forward(self, x: torch.Tensor) -> torch.Tensor:
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"""
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Applies ReLU activation to the input tensor.
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Args:
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x (torch.Tensor): Input tensor of any shape.
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Returns:
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torch.Tensor: Output tensor with ReLU applied, same shape as input.
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"""
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return torch.relu(x)
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batch_size = 16
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dim = 16384
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def get_inputs():
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x = torch.randn(batch_size, dim)
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return [x]
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def get_init_inputs():
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return [] # No special initialization inputs needed
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