Deleted unused files, tweaked workflow, added badge

.github/workflows/run_tests.yaml

@@ -39,11 +39,15 @@ jobs:
  - name: Run tests in Intel environment
  run: |
  . $CONDA/etc/profile.d/conda.sh
- conda activate intel_env
- python run_tests.py
+ conda activate intel_env || exit 1
+ # This is toy run for GH action,
+  # The arguments are really bad for real perf testing, use default arguments instead
+ python numpy/umath/umath_mem_bench.py -v --size 10 --goal-time 0.01 --repeats 1 || exit 1
 
  - name: Run tests in stock environment
  run: |
  . $CONDA/etc/profile.d/conda.sh
- conda activate stock_env
- python run_tests.py
+ conda activate stock_env || exit 1
+ # This is toy run for GH action,
+  # The arguments are really bad for real perf testing, use default arguments instead
+ python numpy/umath/umath_mem_bench.py -v --size 10 --goal-time 0.01 --repeats 1 || exit 1

README.md

@@ -1,22 +1,25 @@
+[![Run benchmark tests](https://github.com/IntelPython/optimizations_bench/actions/workflows/run_tests.yaml/badge.svg)](https://github.com/IntelPython/optimizations_bench/actions/workflows/run_tests.yaml)
+
 # Optimization Benchmarks
 Collection of performance benchmarks used to present optimizations implemented for Intel(R) Distribution for Python*
 
 ## Environment Setup
 To install Python environments from Intel channel along with pip-installed packages
 
-- `python3 create_python_envs.py`
-
+- `conda env create -f environments/intel.yaml`
+- `conda activate intel_env`
+
 ## Run tests
-- `python3 run_tests.py`
+- `python numpy/umath/umath_mem_bench.py -v --size 10 --goal-time 0.01 --repeats 1`
 
 ## Run benchmarks
 ### umath
 - To run python benchmarks: `python numpy/umath/umath_mem_bench.py`
-- To compile and run native benchmarks (requires icc): `make -C numpy/umath`
+- To compile and run native benchmarks (requires `icx`): `make -C numpy/umath`
 
 ### Random number generation
 - To run python benchmarks: `python numpy/random/rng.py`
-- To compile and run native benchmarks (requires icc): `make -C numpy/random`
+- To compile and run native benchmarks (requires `icx`): `make -C numpy/random`
 
 ## See also
 "[Accelerating Scientific Python with Intel Optimizations](http://conference.scipy.org/proceedings/scipy2017/pdfs/oleksandr_pavlyk.pdf)" by Oleksandr Pavlyk, Denis Nagorny, Andres Guzman-Ballen, Anton Malakhov, Hai Liu, Ehsan Totoni, Todd A. Anderson, Sergey Maidanov. Proceedings of the 16th Python in Science Conference (SciPy 2017), July 10 - July 16, Austin, Texas