log_loss¶
-
paddle.fluid.layers.
log_loss
(input, label, epsilon=0.0001, name=None)[source] Negative Log Loss Layer
This layer accepts input predictions and target label and returns the negative log loss.
\[Out = -label * \log{(input + \epsilon)} - (1 - label) * \log{(1 - input + \epsilon)}\]- Parameters
input (Variable|list) – A 2-D tensor with shape [N x 1], where N is the batch size. This input is a probability computed by the previous operator. Data type float32.
label (Variable|list) – The ground truth which is a 2-D tensor with shape [N x 1], where N is the batch size. Data type float32.
epsilon (float, optional) – A small number for numerical stability. Default 1e-4.
name (str|None) – For detailed information, please refer to Name . Usually name is no need to set and None by default.
- Returns
A 2-D tensor with shape [N x 1], the negative log loss.
- Return type
Variable
Examples
import paddle.fluid as fluid label = fluid.data(name='label', shape=[None, 1], dtype='float32') prob = fluid.data(name='prob', shape=[None, 1], dtype='float32') cost = fluid.layers.log_loss(input=prob, label=label)