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I have installed all the packages and fix all the runtime Error and Keyerror, but the training is terminated quickly. (I use one A100 GPU to drive the code.)
Experiment name: semseg-pt-v3m1-0-base
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Hello, thanks for the great paper.
With the ResNet version of SparK using sparse convolution and sparse batch normalization together, the flow and mixing of global semantic information is heavily …
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I have a training set consists of 704 graphs with a total number of nodes is ~ 770k and a test set consists of 352 graphs with a total number of nodes is ~300k. I combined the graphs in the training s…
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Currently all resampling proceeds in ignorance of image acquisition parameters. For designs involving sparse acquisition, post-convolution downsampling to the TR needs to integrate over the acquisitio…
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I'm trying to replicate some experiments from the paper: "Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals " (mainly figure 3) but I'm not sure how is GreedyCDL supported for…
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Hi! Thanks for this awesome resource. I was wondering if the code supports (or could support with simple extensions) computing the NTK and/or linearization for sparsely connected (non-convolutional)…
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Is the sparse convolution you designed not open-source, and is it necessary to install sparseconv in readme.md?
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### 🐛 Describe the bug
Hello, I replaced the ordinary convolution operation with a graph convolution operation for the skeleton joint point data. The graph convolution operation takes up to 20 second…
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With CNTK 2.3, I am trying to perform a 1D convolution in BrainScript with:
MyInput = Input {1000, sparse=true}
W = ParameterTensor{(10:4)}
C = Convolution (W, MyInput, _AsArray(10), …
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Hi there,
I'm trying to get Sparseloop working on a Gemmini-like architecture. Specifically, I'm just trying to get a toy example matmul (described as a convolution) running.
I seem to run into…