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### Before
```python
import pytensor.tensor as pt
# Need to
a = pt.vector("a", shape=(2, ))
b = pt.vector("b", shape=(3, ))
# a + b fails due to broadcasting
# Transpose required
result…
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### Run Information
Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | TigerUbuntu
Baseline | [4a1a07666b55ed425a5c43896e7869227fca500c](https://github.com/dotnet/runtime/commit/4a1…
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**What is your question?**
Is there a way to use TMA / CuTe to perform that following load pattern:
Starting with this 1-D tensor,
`[1, 2, 3, 4]`
I'd like to load the following 2-D tensor …
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I am trying to use tensor data from UDP packet as input of tensor filter. Both the sender and receiver are using on NNstreamer.
When I send tensor data less than 65536 bytes(max UDP packet size), t…
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### 1. System information
WSL Linux l 5.14.0-427.18.1.el9_4.x86_64 GNU/Linux
tensorflow==2.10.1
tensorflow-cpu==2.10.1
installed using pip
### 2. Code
Ignore the fact that the dequantization…
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I'm wondering how much support Neural Speed has for NUMA systems. The Advanced Usage page suggests that all tensors should be allocated on the first NUMA node `numactl -m 0 -C 0-`. Is there any benefi…
shg8 updated
3 months ago
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Hi, I am trying to integrate this with the e3nn package.
For the SO3Embedding class, how can I convert that to an irrep which is compatible with the convention e3nn?
My implementation (not sure th…
liyy2 updated
5 months ago
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I noticed FA3 requires the input tensor to be contiguous, however, in actual use, this requirement is almost impossible to meet, and if you do `.contiguous()` convert, there would be additional overhe…
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Hey @fchollet,
do you have any roadmap to implement sparse tensors for the different backends?
- tf seems to have only one implementation of sparse tensors [COO](https://www.tensorflow.org/guide/s…
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### Feature description
A tensor representation that only stores data for positions where the value non-zero. Operations on sparse tensors could then be optimized based on the fact that most of the t…