INNER CODE UNIT · Python

x

digantamisra98/Mish · PyTorch Benchmarks/resnet.py:164

        x = x.view(x.size(0), -1)
        x = self.fc(x)
        return x


def ResidualNet(network_type, depth, num_classes):
    assert network_type in [
        "ImageNet",
        "CIFAR10",
        "CIFAR100",
    ], "network type should be ImageNet or CIFAR10 / CIFAR100"
    assert depth in [18, 34, 50, 101], "network depth should be 18, 34, 50 or 101"

    if depth == 18:
        model = ResNet(BasicBlock, [2, 2, 2, 2], network_type, num_classes)

    if depth == 50:
        model = ResNet(Bottleneck, [3, 4, 6, 3], network_type, num_classes)

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