Parameters ---------- block (nn.Module): Bottleneck class. - For SENet154: SEBottleneck - For SE-ResN

r"""InceptionResNetV2 model architecture from the `"InceptionV4, Inception-ResNet..." <https://arxiv.org/abs/1602.07261>`_ paper.

Args: output (Tensor): NxK tensor that for each of the N examples indicates the probability of the example belong

Computes the precision@k for the specified values of k

Selectable global pooling function with dynamic input kernel size

3x3 convolution with padding

3x3 convolution with padding

3x3 convolution with padding

Sets the learning rate to the initial LR decayed by 10 every 30 epochs

r"""BNInception model architecture from <https://arxiv.org/pdf/1502.03167.pdf>`_ paper.

Resets the meter with empty member variables

Constructs a ResNet-152 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet