Merge pull request #282 from awthomp/readme_update

[skip-ci] [DOC] Update readme to reflect new version numbers

CHANGELOG.md

@@ -4,8 +4,9 @@
 - PR #241 - Add inverse_complex_cepstrum and minimum_phase to acoustics module
 
 ## Improvements
-- PR #267 Various optimization across all functions
-- PR #271 Increase robustness of testing
+- PR #267 - Various optimization across all functions
+- PR #271 - Increase robustness of testing
+- PR #282 - Update README to reflect current versions
 
 ## Bug Fixes
 - PR #272 Fix bug in gausspulse

README.md

@@ -112,31 +112,31 @@ This code executes on an NVIDIA V100 in 637 ms.
 ## Documentation
 The complete cuSignal API documentation including a complete list of functionality and examples can be found for both the Stable and Nightly (Experimental) releases.
 
-[cuSignal 0.15 API](https://docs.rapids.ai/api/cusignal/stable/) | [cuSignal 0.16 Nightly](https://docs.rapids.ai/api/cusignal/nightly/)
+[cuSignal 0.16 API](https://docs.rapids.ai/api/cusignal/stable/) | [cuSignal 0.17 Nightly](https://docs.rapids.ai/api/cusignal/nightly/)
 
 ### Installation
-cuSignal has been tested on and supports all modern GPUs - from Maxwell to Ampere. While Anaconda is the preferred installation mechanism for cuSignal, developers and Jetson users should follow the source build instructions below. As of cuSignal 0.15, there isn't a cuSignal conda package for aarch64.
+cuSignal has been tested on and supports all modern GPUs - from Maxwell to Ampere. While Anaconda is the preferred installation mechanism for cuSignal, developers and Jetson users should follow the source build instructions below. As of cuSignal 0.16, there isn't a cuSignal conda package for aarch64.
 
 ### Conda, Linux OS
 cuSignal can be installed with conda ([Miniconda](https://docs.conda.io/en/latest/miniconda.html), or the full [Anaconda distribution](https://www.anaconda.com/distribution/)) from the `rapidsai` channel. If you're using a Jetson GPU, please follow the build instructions [below](https://github.com/rapidsai/cusignal#conda---jetson-nano-tk1-tx2-xavier-linux-os)
 
-For `cusignal version == 0.15`:
+For `cusignal version == 0.16`:
 
 ```
 For CUDA 10.1.2
 conda install -c rapidsai -c nvidia -c numba -c conda-forge \
-    cusignal=0.15 python=3.7 cudatoolkit=10.1
+    cusignal=0.16 python=3.7 cudatoolkit=10.1
 
 # or, for CUDA 10.2
 conda install -c rapidsai -c nvidia -c numba -c conda-forge \
-    cusignal=0.15 python=3.7 cudatoolkit=10.2
+    cusignal=0.16 python=3.7 cudatoolkit=10.2
 
 # or, for CUDA 11.0
 conda install -c rapidsai -c nvidia -c numba -c conda-forge \
-    cusignal=0.15 python=3.7 cudatoolkit=11.0
+    cusignal=0.16 python=3.7 cudatoolkit=11.0
 ```
 
-For the nightly verison of `cusignal`, currently 0.16a:
+For the nightly verison of `cusignal`, currently 0.17a:
 
 ```
 # For CUDA 10.1.2
@@ -295,7 +295,7 @@ In the cuSignal top level directory:
 
 ### Docker - All RAPIDS Libraries, including cuSignal
 
-For `cusignal version == 0.15`:
+For `cusignal version == 0.16`:
 
 ```
 # For CUDA 11.0