.. _l-onnx-doccom.microsoft-NegativeLogLikelihoodLossInternal: ================================================= com.microsoft - NegativeLogLikelihoodLossInternal ================================================= .. contents:: :local: .. _l-onnx-opcom-microsoft-negativeloglikelihoodlossinternal-1: NegativeLogLikelihoodLossInternal - 1 (com.microsoft) ===================================================== **Version** * **name**: `NegativeLogLikelihoodLossInternal (GitHub) `_ * **domain**: **com.microsoft** * **since_version**: **1** * **function**: * **support_level**: * **shape inference**: This version of the operator has been available **since version 1 of domain com.microsoft**. **Summary** NegativeLogLikelihoodLossInternal **Attributes** * **reduction**: Type of reduction to apply to loss: none, sum, mean(default). 'none': the output is the loss for each sample in the batch.'sum': the output will be summed. 'mean': the sum of the output will be divided by the batch_size. Default value is ``?``. **Inputs** Between 2 and 4 inputs. * **input** (heterogeneous) - **T**: Input tensor of shape (N, C) or (N, C, d1, d2, ..., dk). * **target** (heterogeneous) - **Tind**: Target tensor of shape (N) or (N, d1, d2, ..., dk). Target element value shall be in range of [0, C). If ignore_index is specified, it may have a value outside [0, C) and the target values should either be in the range [0, C) or have the value ignore_index. * **weight** (optional, heterogeneous) - **T**: Optional rescaling weight tensor. If given, it has to be a tensor of size C. Otherwise, it is treated as if having all ones. * **ignore_index** (optional, heterogeneous) - **I**: Scalar tensor to specify a target value that is ignored and does not contribute to the input gradient. **Outputs** * **loss** (heterogeneous) - **T**: The negative log likelihood loss **Examples**