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konev-artem
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May 3, 2022
| def forward(self, batch, labels, **kwargs): | ||
| assert torch.all(labels[0::2] == labels[1::2]).item() | ||
| batch_norm = batch.sub(batch.mean(dim=0)).div(batch.std(dim=0)) | ||
| cc = batch_norm[0::2].T @ batch_norm[1::2] |
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не вижу деления на N, как в Algorithm 1 из https://arxiv.org/pdf/2103.03230.pdf:
c = mm(z_a_norm.T, z_b_norm) / N # DxD
я что-то упускаю?
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Да, точно. Спасибо, пофиксил, стало лучше. Но качество все равно не дотягивает в таком вид
е
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Странно оно себя ведет
