update requirements in docs
@@ -25,7 +25,7 @@ You need to have the following components to use CuPy.
* `NVIDIA CUDA GPU <https://developer.nvidia.com/cuda-gpus>`_
* Compute Capability of the GPU must be at least 3.0.
* `CUDA Toolkit <https://developer.nvidia.com/cuda-zone>`_
- * Supported Versions: 7.0, 7.5, 8.0, 9.0 and 9.1.
+ * Supported Versions: 7.0, 7.5, 8.0, 9.0, 9.1 and 9.2.
* If you have multiple versions of CUDA Toolkit installed, CuPy will choose one of the CUDA installations automatically.
See :ref:`install_cuda` for details.
* `Python <https://python.org/>`_
@@ -44,9 +44,9 @@ Optional Libraries
Some features in CuPy will only be enabled if the corresponding libraries are installed.
* `cuDNN <https://developer.nvidia.com/cudnn>`_ (library to accelerate deep neural network computations)
- * Supported Versions: v4, v5, v5.1, v6, v7
+ * Supported Versions: v4, v5, v5.1, v6, v7 and v7.1.
* `NCCL <https://developer.nvidia.com/nccl>`_ (library to perform collective multi-GPU / multi-node computations)
- * Supported Versions: v1.3.4, v2
+ * Supported Versions: v1.3.4, v2, v2.1 and v2.2.
Install CuPy
@@ -66,6 +66,9 @@ Package names are different depending on the CUDA version you have installed on
(For CUDA 9.1)
$ pip install cupy-cuda91
+ (For CUDA 9.2)
+ $ pip install cupy-cuda92
+
.. note::
The latest version of cuDNN and NCCL libraries are included in these wheels.
