add cross_entropy to nn/layer and nn/functional, test=develop #26478
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Thanks for your contribution! |
yaoxuefeng6
reviewed
Aug 20, 2020
python/paddle/nn/functional/loss.py
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| \\log\\left(\\sum_{i=0}^{K}\\exp(\\text{input}_i)\\right)), j = 1,..., K | ||
| Parameters: | ||
| input (Variable): Input tensor, the data type is float32, float64. Shape is |
yaoxuefeng6
reviewed
Aug 20, 2020
python/paddle/nn/functional/loss.py
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| input (Variable): Input tensor, the data type is float32, float64. Shape is | ||
| (N, C), where C is number of classes, and if shape is more than 2D, this | ||
| is (N, C, D1, D2,..., Dk), k >= 1. | ||
| label (Variable): Label tensor, the data type is int64. Shape is (N), where each |
yaoxuefeng6
reviewed
Aug 20, 2020
python/paddle/nn/functional/loss.py
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| label (Variable): Label tensor, the data type is int64. Shape is (N), where each | ||
| value is 0 <= label[i] <= C-1, and if shape is more than 2D, this is | ||
| (N, D1, D2,..., Dk), k >= 1. | ||
| weight (Variable, optional): Weight tensor, a manual rescaling weight given |
yaoxuefeng6
reviewed
Aug 20, 2020
python/paddle/nn/functional/loss.py
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| Returns: | ||
| The tensor variable storing the cross_entropy_loss of input and label. | ||
| Return type: Variable. |
willthefrog
reviewed
Aug 20, 2020
python/paddle/nn/functional/loss.py
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| from ...fluid.layers import bpr_loss #DEFINE_ALIAS | ||
| from ...fluid.layers import center_loss #DEFINE_ALIAS | ||
| from ...fluid.layers import cross_entropy #DEFINE_ALIAS | ||
| #from ...fluid.layers import cross_entropy #DEFINE_ALIAS |
| """ | ||
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| def __init__(self, weight=None, reduction='mean', ignore_index=-100): | ||
| def __init__(self, weight=None, ignore_index=-100, reduction='mean'): |
Contributor
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use functional version in forward()?
Contributor
|
cross_entropy忘了加name参数吧？ |
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add cross_entropy to nn/layer and nn/functional