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From https://github.com/pytorch/pytorch/pull/133065#issuecomment-2288701447 . Basically, there was a noticeable performance drop on the inference side after bumping up the HF pin, [dashboard](https://…
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Hello every one,
```
sage: h = SymmetricFunctions(QQ).h()
sage: tensor([h]) # I assume that return h?
Symmetric Functions over Rational Field in the homogeneous basis
sage: h == tensor([h])
False
`…
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### 🚀 The feature, motivation and pitch
I am using torch as part of some code that solves quantum systems in a differentiable way. An important part of this process is constructing large sparse mat…
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I have implemented the rules for restriction and tensor products found in Thm 4.5 and Cor 4.7 (pages 15 and 18):
http://arxiv.org/abs/0812.2268
The backbone is a recursive algorithm to compute ten…
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### 🐛 Describe the bug
I've found that the output of the wav2vec2 pipeline model is bugged, and changes depending on the zero-padding used in batch preprocessing, a simple example Is as follows:
…
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`MappingQGeneric` already supports the fast tensorized evaluation of quantities on cells via the code
https://github.com/dealii/dealii/blob/f40be01994c320236edb775d09a9c89c0f118386/source/fe/mapping_…
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### Expected behavior
The expectation value obtained for the tensor product of an observable containing terms using `qml.Hermitian` is correct.
### Actual behavior
Incorrect result.
### Additional…
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### Expected behavior
Consider:
```python
obs = qml.PauliZ(0) @ qml.PauliZ(1)
obs2 = obs @ qml.PauliZ(2)
```
I expect:
```pycon
>>> print(obs)
PauliZ(wires=[0]) @ PauliZ(wires=[1])
>>> print…
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M = ∑ i=1 n Ti ⊗ fi
Modular Formula which denotes the "M", It has Tensor properties that represent multi-dimensional data and transformations flexibly and comprehensively. Multilinear maps allow inter…
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### 🐛 Describe the bug
I'm trying to do attention on a batch-of-zero, because my program uses a static graph and I rely on zero-batching (index_select zero-batch of inputs, index_add zero-batch of ou…