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Currently, `root_decomposition` fails for LazyTensors with a single element with an obscure index error (except for DiagLazyTensor, where it is special-cased). More generally, the iterative low-rank a…
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```py
In [6]: b = Add(QUInt(4)).controlled()
In [7]: query_costs(b, [QECGatesCost()])
Out[7]:
{Controlled(subbloq=ArbitraryClifford(n=2), ctrl_spec=CtrlSpec(qdtypes=(QBit(),), cvs=(array(1),)))…
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Hi, thanks for the great implementation of tensor decomposition. However, when I apply your code to my resnet model, the decomposed model actually has more parameters than the original one. Do you hav…
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Current method of rank estimation only takes the upper bound of rank given by the Kolda paper. It would be more helpful to have a lower rank estimate for the tensor decomposition.
It might be also …
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Dear all,
thank you for the nice package. However, unfortunatley i have an issue with the tensor2 = c2c.analysis.run_tensor_cell2cell_pipeline(..) function I tried now many times to run it but it alw…
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## Data flow
See [Metatensor - Data flow](https://docs.metatensor.org/latest/atomistic/overview.html#data-flow-between-the-model-and-engine)
* ESPResSo needs to export a neighbor list in the for…
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#### Describe the bug
Attempting to run `tensorly.contrib.sparse.decomposition.robust_pca` on a sparse tensor results in:
```python
TypeError: _clip_dispatcher() missing 1 required positional arg…
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Any option to implement an easy way to "plug and play" different loss functions in the tensor decompositions?
It would be great having something like that instead of editing each of the different fun…
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Some significant models are blocked by `tfl.lstm` which can be decomposed into already support tflite operations.
Adding the decomposition should unblock these models.
```
/tmp/test.tflite:0:0: n…
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one for the moment tensor decomposition and such, one for plotting, and one for the command line interface as suggested from @emolch