Another work around is to get rid off the sparse placeholder completely.
Instead use three standard Tensors for each element in the sparse tensor (i.e.
data, indices and index pointers). Then feed those (plus the X matrix) to
`topi.nn.sparse_dense` and things seem to work.
There's a working i
Useful resource, thanks. I ended up fixing the approach in my 2nd example
(using three `ndarray`s. Basically one can only pass sparse tensors that have
the same sparsity pattern, not just the same level of sparsity as the
placeholders you pass.
Thus, when constructing the placeholder tenso
Hi, I've just came across a model that requires support for ONNX CumSum op
https://github.com/onnx/onnx/blob/master/docs/Operators.md#CumSum. The model
comes from DETR object detection model
https://github.com/facebookresearch/detr. Since this model doesn't need ad hoc
object detection ops th
