test/test_sparse.py
def randn(self, *args, **kwargs):
        """
        Variant of torch.randn that also works in the TEST_CUDA case.
        """
        # TODO: Put this in torch.cuda.randn
        return self.ValueTensor(*args, **kwargs).normal_()

        Variant of torch.randn that also works in the TEST_CUDA case.
        
Variant of torch.randn that also works in the TEST_CUDA case.
Variant of torch . randn that also works in the TEST_CUDA case .
def randn(self, *args, **kwargs):
        return self.ValueTensor(*args, **kwargs).normal_()
def randn ( self , * args , ** kwargs ) : return self . ValueTensor ( * args , ** kwargs ) . normal_ ( )
Variant of torch.randn that also works in the TEST_CUDA case.
Variant of torch . randn that also works in the TEST_CUDA case .
"""
        Variant of torch.randn that also works in the TEST_CUDA case.
        """ # TODO: Put this in torch.cuda.randn
self