import torch
import torch.nn as nn
import torch.nn.functional as F


class Conv(nn.Module):
    def __init__(self, in_dim, out_dim, k, s=1, p=0, d=1, g=1, act=True):
        super(Conv, self).__init__()
        self.convs = nn.Sequential(
            nn.Conv2d(in_dim, out_dim, k, stride=s, padding=p, dilation=d, groups=g),
            nn.BatchNorm2d(out_dim),
            nn.LeakyReLU(0.1, inplace=True) if act else nn.Identity()
        )

    def forward(self, x):
        return self.convs(x)