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see Q&A posting
https://forum.generic-mapping-tools.org/t/psmeca-moment-tensor-behavior/3076/7
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Here are assorted experiments that I'm trying to rework into concrete test cases suitable for use here in torch-mlir (they use `FxProgramsBuilder` from [iree-turbine](https://github.com/iree-org/iree-…
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Hi, converting a model that uses `nn.RMSNorm` does not work:
```python
class RMSNormModel(nn.Module):
def __init__(self):
super().__init__()
self.norm = nn.RMSNorm(3, 0.1)…
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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
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What would be the best way to implement a per-pixel / per-element loss in CNTK at the moment?
As far as I could gather from the python documentation nearly all the loss function expect a vector-type…
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I want to take a list of scalar values and make a vector of it using backend operations. This seems to be tricky at the moment! My initial attempt was:
```python
scalars = [backend.convert_to_tensor…
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Try to remove (or change the way we do) the velocity derivative tensor such to not store the whole tensor.
For the moment there are 41 fields living on a GPU
Therefore, if the GPU has 12GB of m…
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## 🚀 Feature
Add the ability to translate the following Collective Communication ops to native
XLA instructions:
* `all_gather`
* `reduce_scatter`
* `collective_permute`
* `send`
* `recv`…
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The operator() for tensors could be overloaded to provide a similar functionality to `seq`, `fseq` and `iseq`, like so
~~~c++
operator()(std::initializer_list _s1, std::initializer_list _s2);
~~~
…
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I hope I am not bothering you too much by asking questions in the issue tracker, in case let me know.
This time I am trying to port operations from the tensor level to the variable level. For insta…