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# Problem description
```
cupyx.scipy.sparse.csr_matrix((
np.ones([4], np.int32),
np.array([1, 2, 3, 4], np.int32),
np.array([0, 2, 3])
))
```
gives following error.
```
----…
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Seems horrovod currently not support sparse tensor. "L-BFGS is currently unsupported, as are sparse tensors, which are required by SparseAdam optimizer"
Will support sparse tensor ?
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Hello,
Thanks for the great library!
I am trying to perform the eigendecomposition of a torch LazyTensor. The following is a slight adaptation of the code in https://www.kernel-operations.io/keop…
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### 🐛 Describe the bug
When working with coalesced sparse COO tensors, calling `.div_` keeps the tensor coalesced, but `.mul_` does not. However, calling `.mul` returns a coalesced tensor.
```pyth…
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## 🐛 Bug
`is_non_overlapping_and_dense()` does not error out for sparse tensors (it should, similar to `is_contiguous()`), and sparse tensors end up calling it in some tensor factories (e.g. `to_im…
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**Hello,
I'm not 100% sure it's a bug.
I trained a model and saved it on Google Colab Entreprise
Tensorflow v2.17.0
Keras v 3.4.1
Once a try to load the model using tf.keras.models.load_mod…
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This tracking is meant to list the main improvements we'll be focusing on for sparse tensors, and then mapping them to the releases they should land in. _Please note: these are estimates and indicate …
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### 🚀 The feature, motivation and pitch
Up until recently PyG required torch-sparse which provided functionality for sparse tensor math for GNNs. PyG 2.3+ has the goal of dropping torch-sparse and ot…
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When executing (it is the wrapped model):
`model.fit(training_dataset, epochs=5)` where
training_dataset = tf.data.Dataset.from_tensor_slices((training_input, training_output.T))
I get:
`Run…
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### 🚀 The feature, motivation and pitch
Hi,
both `torch.softmax` and `torch.sparse.softmax` don't support the CSR format.
Namely, when I try to apply any softmax to `torch.sparse_csr tensor`, I rec…