release-note-op-layer
+ [Use thrust async sort and custom make_seqeuence for faster operation.](https://github.com/sony/nnabla-ext-cuda/pull/185)
* **Known issue**: it causes segfault due to an improper concurrency in CUDA 10.1, which should be fixed in the next release
+ [Update FlipCuda and RandomFlipCuda implementation](https://github.com/sony/nnabla-ext-cuda/pull/184)
+ [Min-max quantization](https://github.com/sony/nnabla-ext-cuda/pull/183)
Install the latest nnabla by:
pip install nnabla
pip install nnabla-ext-cuda101 For CUDA version 10.1 users
Users with python <= 3.4 may experience errors with `pip install nnabla` and `pip install nnabla-ext-cuda`.
■ Workaround
Please install matplotlib == 2.2.3 and re-install nnabla, nnabla-ext-cuda.
pip install matplotlib==2.2.3
pip install nnabla
pip install nnabla-ext-cuda101
Note that CUDA 10.1 and cuDNN 7.6 are set as default if versions are not specified. You can also install the cuda extension with specific versions from one of the following. [See also FAQ](https://nnabla.readthedocs.io/en/latest/python/install_on_linux.html#faq)