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Remove unused function
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@ -41,21 +41,6 @@ def topk(xp, arr, k, axis=None):
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return svals, oidxs
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def logsumexp(xp, arr, axis=None):
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"""Emulate torch.logsumexp by returning the log of summed exponentials
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along each row in the given dimension.
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Reduces a 2d array to 1d."""
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# from slide 5 here:
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# https://www.slideshare.net/ryokuta/cupy
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# Note: this was added to reproduce loss calculation in coref-hoi. If loss
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# can be calculated using another method this is not necessary.
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hi = arr.max(axis=axis)
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hi = xp.expand_dims(hi, 1)
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return hi.squeeze() + xp.log(xp.exp(arr - hi).sum(axis=axis))
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# from model.py, refactored to be non-member
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def get_predicted_antecedents(xp, antecedent_idx, antecedent_scores):
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"""Get the ID of the antecedent for each span. -1 if no antecedent."""
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