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Hi there,
Not sure what the root of the problem is, but here's a minimal example to reproduce:
```cpp
auto a = xt::xarray::from_shape({2, 3, 4});
auto b = xt::concatenate(xt::xtuple(a, a));
a…
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The project looks great. It would be nice if there could be some support for libraries providing C++ wrappers for SIMD intrinsics.
A prime example for this could be
1) https://github.com/xtensor-s…
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Description
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Using `xt::flatten` on an `xarray` causes compilation error due to incomplete type:
```
../include/xtensor/xmanipulation.hpp:295:16: error: invalid use of incomplete type 'usin…
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At the moment we are looking at investing our time into getting tensorflow 2.0.0 working with greta seamlessly.
However, in the future it might be something of interest to look at an alternative ap…
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Currently, we build pybind11 from CMake for xtensor-python (`pybind11_cmake.yaml`), but also from setuptools so that it is importable from python (`pybind11.yaml`).
We need instead to:
- [ ] use o…
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When benchmarking the following snippets, I have very surprising results:
```python
#from: http://stackoverflow.com/questions/2196693/improving-numpy-performance
#pythran export specialconvolve(u…
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My eye crossed https://stackoverflow.com/q/74100940/2646505 . The goal there is to mimic
```python
import numpy as np
keep = np.array([True, False, True])
A = np.array([[1, 2, 3], [4, 5, 6], [7,…
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When using adapt with strides, the assignment operator doesn't work correctly.
```cpp
#include
#include
#include
#include
#include
int main() {
xt::xtensor tensor_input = xt::aran…
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The following code runs much slower than it's numpy equivalent:
```c++
#include "xtensor/xnoalias.hpp"
#include "xtensor/xtensor.hpp"
#include "xtensor/xarray.hpp"
#include "xtensor/xrandom.hpp…
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The following code to create a view using a constant range argument fails to compile:
```
auto tensor = xt::xarray::from_shape({32, 32});
auto const span = xt::range(0, 10);
auto view = xt::view…