There were a few issues. The key one was data type. I mixed float features and int indices. sample data and training before fix: ... <看更多>

Route layer is concatenation instead of summation. Am I missing something? original yours. ... <看更多>

In tensorflow you can do something like this third_tensor= tf.concat(0, [first_tensor ... How to implement tf.scatter_nd() function of tensorflow in pytorch. ... <看更多>

Extracting Intermediate Layer Outputs in PyTorch ... To store intermediate features and concatenate them over batches, we just need to ... ... <看更多>

Relu Layer; Concatenate Layer; Configuring Layers; Layer Weights ... TensorFlow and PyTorch are both extensive frameworks that can do almost ... ... <看更多>

For concatenation, the gradient values during back propagation split to their respective source layers. There is no direct interaction ... ... <看更多>

Note: As in Saliency Map, the softmax activation of the final layer is replaced with linear. models import Model, ... It is based on this script in pytorch. ... <看更多>