text: import torch
  import numpy as np
  from ..src.ReLU import ReLU as NumpyReLU
  
  
  class Tester:
  
      relu_numpy = NumpyReLU()
  
      def y_torch(self, x):
          return torch.relu(torch.tensor(x)).numpy()
  
      def y_numpy(self, x):
          return self.relu_numpy(x)
  
      def __call__(self):
          x = np.random.randn(128)
          assert np.array_equal(
              self.y_torch(x),
              self.y_numpy(x)
          )
  
  
  def test():
      tester = Tester()
      for _ in range(32):
          tester()
  