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the ConvNets are currently using strides, which is not supported by by sparse tensors.
We can either extract the values manually (as done in [spconv](https://github.com/traveller59/spconv/blob/master…
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The following code
```python
import pytaco as pt
a = pt.tensor([3,3], pt.dense)
b = pt.tensor([3,3], pt.dense)
c = a + b
```
produces c whose format is Format(({compressed},{compressed}; 0,1)) …
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Hello,
Thank you for a great repository.
I was wondering is it possible to add simple support for sparse tensors?
An example code is shown below:
```python
import torch
import functorch
d…
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Not sure if this is a feature or a bug, but as far as I can tell the reduction functor is not used to reduce the tiles to scalars if one of the tiles is zero. For reductions without the zero-product p…
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We'd like to be able to round-trip NumPy ndarrays through Java, and create tensors in Java that can be eventually mapped to ndarrays in Python. Having even a basic Tensor implementation, with extensio…
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## ❓ Questions and Help
I‘d like to know if there is a dropout layer that i can use it on sparse tensor.
I will be appreciate it if you can show me the name? Just like the sparse_dropout in tensorfl…
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## 🚀 Feature
RuntimeError: hardshrink is not implemented for type torch.sparse.FloatTensor
## Motivation
We are experimenting with sparse neural networks. We want to model the connection be…
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### 🐛 Describe the bug
I'm seeing that IValue::deepcopy returns incorrect result for GenericDict of Tensor views.
When calling deepcopy on a GenericDict with 5 entries, the result is a dictionary …
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https://github.com/bioAI-Oslo/Spikeometric/blob/31fe94ea9192170c7855ce5afa7267caab3566cf/spikeometric/models/base_model.py#L223
Any reason for why we should not work on sparse tensors?
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### 🐛 Describe the bug
```python
from torch._functorch.aot_autograd import aot_export_module
class M(torch.nn.Module):
def __init__(self):
super().__init__()
def forward(self…