forked from huawei/mindspore2022
fix comments for LossBase.get_loss
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@ -76,8 +76,8 @@ class LossBase(Cell):
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Args:
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weights (Union[float, Tensor]): Optional `Tensor` whose rank is either 0, or the same rank as inputs,
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and must be broadcastable to inputs (i.e., all dimensions must be either `1`,
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or the same as the corresponding inputs dimension).
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and must be broadcastable to inputs (i.e., all dimensions must be either `1`,
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or the same as the corresponding inputs dimension).
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"""
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input_dtype = x.dtype
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x = self.cast(x, mstype.float32)
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@ -1282,10 +1282,10 @@ class FocalLoss(LossBase):
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convert_weight = self.squeeze(convert_weight)
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log_probability = log_probability * convert_weight
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weight = F.pows(-probability + 1.0, self.gamma)
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weight = F.pows(-1 * probability + 1.0, self.gamma)
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if target.shape[1] == 1:
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loss = (-weight * log_probability).mean(axis=1)
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loss = (-1 * weight * log_probability).mean(axis=1)
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else:
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loss = (-weight * targets * log_probability).mean(axis=-1)
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loss = (-1 * weight * targets * log_probability).mean(axis=-1)
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return self.get_loss(loss)
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