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nw13slx
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| def accumulate_state(self, state: Tuple[torch.Tensor, ...]) -> None: | ||
| """ """ | ||
| n, state = state | ||
| N_to_add = len(n) - self.n_bins | ||
| if N_to_add > 0: | ||
| self._expand_state(N_to_add) | ||
| elif N_to_add < 0: | ||
| # need to expand the parameter state | ||
| n = _pad_dim0(n, -N_to_add) | ||
| state = _pad_dim0(state, -N_to_add) | ||
| self._state += n * (state - self._state) / (self._n + n) | ||
| self._n += n | ||
| # Make div by zero 0 | ||
| self._state = torch.nan_to_num_(self._state, nan=0.0) | ||
|
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almost the same as accumulate_batch. So is it for the horovod interface?
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