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import torch | |
import torch.nn as nn | |
import torch.nn.init as init | |
class MinibatchDiscrimination(nn.Module): | |
def __init__(self, in_features, out_features, kernel_dims, mean=False): | |
super().__init__() | |
self.in_features = in_features | |
self.out_features = out_features | |
self.kernel_dims = kernel_dims |
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#include <iostream> | |
using namespace std; | |
void countingSort(int arr[],int n,int RANGE){ | |
int count[RANGE]={0}; | |
int i; | |
int out[n]; | |
for(i=0;i<n;i++) |