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### Use Case
Most solid material models require tensor operations to compute stress $\mathbf{S}$ and tangent matrix $\mathrm{C}$. The tensors are usually 2nd- and 4th-order fixed-size, `nsd x nsd` an…
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### Required prerequisites
- [X] Search the [issue tracker](https://github.com/NVIDIA/cuda-quantum/issues) to check if your feature has already been mentioned or rejected in other issues.
### Descri…
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Find a possibility to define a `scalar` head, which could be used to encapsulate some complicated scalar expressions within arbitrary functions, and which commutes with `PartialDerivative`. Define a f…
joha2 updated
4 years ago
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pytorch is installed with command
```sh
pip install pytorch==1.3.1
```
When using c++ api
```python
torch::Tensor cc = torch::randn({64, 432*496}, torch::requires_grad(false).dtype(at::kFloat)…
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The following problem results in an empty assemble function:
```bash
tensora 'A(i,j) = B(i,j) + C(i,k) * D(k,j)' -f A:ds -f B:ds -f C:ds -f D:ds -t assemble
```
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hello,I plan to reproduce the model, but you only provide some code. Can you provide further information ? Thank you
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Is it possible to manipulate the `ccc` expression using normal functions as I'm trying to do below?
For simple things it seems it can work because you can inline them, something like the `foldCat` …
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All data sucks. Bayesian MCA naively assumes that the matrix of metabolite, flux and enzyme observations has the same size as the stoichiometric matrix rows or columns.
There is a tensor trick to…
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Hi,
I have multiple datasets for training. When I build the dataloader, it seems that the multiprocessing doesn't work.
Here is the code:
```python
import torch.multiprocessing as mp
mp.set_start…
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When export dynamic-shape llama2, in the attached [piece of the partitioned model](https://github.com/user-attachments/files/16568296/partitioned-model_piece-2.txt), there are symbol manipulations suc…