Sorry for not watching the latest update…   Is it available in version 0.3 ? I can’t visit the version selection website so can only see version 0.4…
Another question is about the functional caller, suppose I am customizing a operator which needs im2col operation, for a input variable v_input, after unfold, I get v_unfold, them v_unfold will do a product with another variable v_another, according to my understanding of autograd mechanism, to log the graph of and for the backprop for product operation, we need to save the operand v_unfold and v_another, however,  after im2col, the variable v_unfold will consume to much memory. I think we can compose these two operator, the im2col, and product, them when forward, we only need to save the tensor of v_input, and for forward and backward, do the unfold manually, therefore, it can save many memory. However, when feed the functional a tensor, it will return a Variable, is there a way to do pure tensor operation with nn.functional ? thanks.