public Tensor SoftmaxGrad(Tensor grad_, Tensor adj_, Tensor val_, bool addGrad = true)
{
int ndim = adj_.DimensionCount;
long storageSize = TensorDimensionHelpers.GetStorageSize(adj_.Sizes, adj_.Strides);
long cols = adj_.Sizes[ndim - 1];
if (storageSize % cols != 0)
{
throw new Exception($"Invalid tensor storage size = '{storageSize}', and cols = '{cols}'");
}
long rows = storageSize / cols;
Tensor writeTarget = TensorResultBuilder.GetWriteTarget(grad_, adj_, true, adj_.Sizes);
TensorApplyCPU.SoftmaxGrad(writeTarget, adj_, val_, (int)rows, (int)cols, addGrad);
return(writeTarget);
}