When I feed data into my network, this error occurs.
Process finished with exit code 134 (interrupted by signal 6: SIGABRT)
I wanted to feed numpy.ndarray data, but
TypeError: conv2d(): argument 'input' (position 1) must be Tensor, not numpy.ndarray
error occurs. so I changed my input_image to
input_image = Variable(torch.from_numpy(input_image).cuda())
input_image.shape is (64, 3, 28, 28) and type is torch.Tensor.
Here is my network
class Network(nn.Module):
    def __init__(self):
        super(Network, self).__init__()
        self.net= nn.Sequential(
            nn.Conv2d(in_channels=3, out_channels=32, kernel_size=5),
            nn.ReLU(),
            nn.MaxPool2d(kernel_size=2),

            nn.Conv2d(in_channels=32, out_channels=48, kernel_size=5),
            nn.ReLU(),
            nn.MaxPool2d(kernel_size=2)
        )

    def forward(self, x):
        x = self.net(x)
        x = x.view(-1, 7 * 7 * 48)
        return x

Anyone can help me ?