Is there a need to convert sparse to dense for loss calculation and backward pass, or can we use the inverse map and calculate loss between two sparse tensors i.e find argmax without using logits.dense() and compare with pointwise labels. Will this work too?
Is there a need to convert sparse to dense for loss calculation and backward pass, or can we use the inverse map and calculate loss between two sparse tensors i.e find argmax without using logits.dense() and compare with pointwise labels. Will this work too?