class ConvNeXt(nn.Module):
    def __init__(self, indim, mlp_ratio=4):
        super(ConvNeXt, self).__init__()
        self.conv = nn.Conv2d(indim, indim, 7, 1, 3, groups=indim, bias=False)
        self.linear = nn.Linear(indim, mlp_ratio*indim, bias=False)
        self.linear2 = nn.Linear(indim*mlp_ratio, indim, bias=False)
        self.ln = nn.LayerNorm([indim])
        self.gelu = nn.GELU()
    def forward(self, x):
        res = x
        x = self.conv(x)
        h, w = x.shape[-2:]
        x = rearrange(x, "b c h w -> b (h w) c")
        x = self.ln(x)
        x = self.linear(x)
        x = self.gelu(x)
        x = self.linear2(x)
        x = rearrange(x, "b (h w) c -> b c h w", h=h, w=w)
        return x + res

Optimize this code. In your entire response, the letter o should appear less than 44.
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