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I see that you mention that top-K sparsification must zero out 1-top_k_percent percent of the model update elements with the lowest absolute values. But in the code, I see that you forgot to use the a…
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Consider the following MLIR program:
a.mlir:
```
module {
func.func @tensor_i32(%arg0: tensor) -> i32 {
%idx0 = index.constant 0
%0 = tensor.extract %arg0[%idx0] : tensor
return %…
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We are contemplating exposing an argument that should sparsify the entire pair-score edgelist (#1026).
It would be very nice if we had some principled way to do this automatically for users. @fjsj …
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Starts with full graph and deletes random edges out of drivable graph if the new enclosed area does not exceed a limit.
Of the connected components of deleted blocks form LTNs
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Hi, it's a quite solid and promising work but I have some questions.
(1) In the paper, you perform an average pooling with kernel size 2 × 2 after the sixth block for the structural downsampling. But…
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If we want to allow solvers that sparsity, then we must also then be able to reduce the basis size accordingly. This is currently getting implemented in ACE.jl, but we may wish to backport it to ACE1.…
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Hello,
I am trying to fine-tune a model with sparsification. Actually, it corresponds to the alexnet architecture trained on imagenet data given here : https://github.com/cvjena/cnn-models . I am t…
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Hi Stefanie,
Quick questions about output netConstruct(). I used the example from the tutorial and got a data frame:
```
net_pears head(net_pears$edgelist1)
v1 v2 asso di…
wfgui updated
4 weeks ago
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Hi,
I encounter an error when I try to import ScheduledModifierManager:
versions:
sparsezoo-nightly: 1.5.0.20230531
sparseml-nightly: 1.5.4.20240501
code:
from sparseml.pytorch.optim imp…
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Hi,
I recently started using Networkit. I am working on an example in which I try to sparsify an undirected graph using the following code.
`G = nk.GraphFromCoo((edge_coo[0], edge_coo[1]), dire…