mlinrust::model::nn::criterion

Struct CrossEntropyLoss

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pub struct CrossEntropyLoss {
    pub loss: Vec<f32>,
    pub avg_loss: f32,
}
Expand description

cross entropy loss, as a special nn module

  • loss: records of each sample in a forward call
  • avg_loss: avg loss of the batch

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§loss: Vec<f32>§avg_loss: f32

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impl CrossEntropyLoss

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pub fn new() -> Self

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pub fn forward(&mut self, logits: NdArray, label: &Vec<usize>) -> NdArray

calculate the loss

logits(WITHOUT softmax): the direct output of nn forward

return: the initial grad for back propagation

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