focal_loss_layer.cpp:43] Check failed: bottom[0]->count() == bottom[1]->count() (8 vs. 4) SIGMOID_CROSS_ENTROPY_LOSS layer inputs must have the same count.

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hi, @liuyuisanai when i train the model for 2 classification, I have this error. So, I try to change the output num of fc layer from 2 to 1. It can work. But the acc is very low...just about 60%...I use the same focal loss layer as the README. Please help me. The following is the fc layer and focal loss layer: layer { name: "fc1" type: "InnerProduct" bottom: "view_blob1" top: "fc_blob1" inner_product_param { num_output: 2 weight_filler { type: "xavier" } bias_filler { type: "constant" } } } layer { name: "loss_focal" type: "FocalLoss" bottom: "fc_blob1" bottom: "label" top: "loss_focal" loss_weight: 10 loss_param{ normalize: true normalization: FULL } } thank you very much.