Refactor AutoTuner as Python module

docs/user/InstructionsForAutoTuner.md

@@ -27,10 +27,6 @@ We have provided two convenience scripts, `./installer.sh` and `./setup.sh`
 that works in Python3.8 for installation and configuration of AutoTuner,
 as shown below:
 
-```{note}
-Make sure you run the following commands in the ORFS root directory.
-```
-
 ```shell
 # Install prerequisites
 ./tools/AutoTuner/installer.sh
@@ -104,7 +100,7 @@ For Global Routing parameters that are set on `fastroute.tcl` you can use:
 
 ### General Information
 
-The `distributed.py` script located in `./tools/AutoTuner/src/autotuner` uses [Ray's](https://docs.ray.io/en/latest/index.html) job scheduling and management to
+The `autotuner.distributed` module uses [Ray's](https://docs.ray.io/en/latest/index.html) job scheduling and management to
 fully utilize available hardware resources from a single server 
 configuration, on-premise or over the cloud with multiple CPUs.
 
@@ -115,35 +111,37 @@ The two modes of operation:
 The `sweep` mode is useful when we want to isolate or test a single or very few
 parameters. On the other hand, `tune` is more suitable for finding
 the best combination of a complex and large number of flow 
-parameters. Both modes rely on user-specified search space that is 
-defined by a `.json` file, they use the same syntax and format, 
-though some features may not be available for sweeping.
+parameters.
 
 ```{note}
 The order of the parameters matter. Arguments `--design`, `--platform` and
 `--config` are always required and should precede *mode*.
 ```
 
+```{note}
+The following commands should be run from `./tools/AutoTuner`.
+```
+
 #### Tune only 
 
-* AutoTuner: `python3 distributed.py tune -h`
+* AutoTuner: `python3 -m autotuner.distributed tune -h`
 
 Example:
 
 ```shell
-python3 distributed.py --design gcd --platform sky130hd \
-                       --config ../../../../flow/designs/sky130hd/gcd/autotuner.json \
+python3 -m autotuner.distributed --design gcd --platform sky130hd \
+                       --config ../../flow/designs/sky130hd/gcd/autotuner.json \
                        tune --samples 5
 ```
 #### Sweep only 
 
-* Parameter sweeping: `python3 distributed.py sweep -h`
+* Parameter sweeping: `python3 -m autotuner.distributed sweep -h`
 
 Example:
 
 ```shell
-python3 distributed.py --design gcd --platform sky130hd \
-                       --config distributed-sweep-example.json \
+python3 -m autotuner.distributed --design gcd --platform sky130hd \
+                       --config src/autotuner/distributed-sweep-example.json \
                        sweep
 ```
 

tools/AutoTuner/installer.sh

@@ -7,5 +7,5 @@ script_dir="$(dirname "${BASH_SOURCE[0]}")"
 venv_name="autotuner_env"
 python3 -m venv "$script_dir/$venv_name"
 source "$script_dir/$venv_name/bin/activate"
-pip3 install -U -r $script_dir/requirements.txt
+pip3 install -e "$script_dir"
 deactivate

tools/AutoTuner/pyproject.toml

@@ -0,0 +1,28 @@
+[project]
+name = "autotuner"
+version = "0.0.1"
+description = "This project provides a set of tools for tuning OpenROAD-flow-scripts parameter without user interference."
+classifiers = [
+    "Programming Language :: Python :: 3",
+    "License :: OSI Approved :: BSD 3-Clause",
+]
+readme = "README.md"
+requires-python = ">= 3.8"
+dynamic = ["dependencies", "optional-dependencies"]
+
+[tool.setuptools.dynamic]
+dependencies = { file = ["requirements.txt"] }
+optional-dependencies.dev = { file = ["requirements-dev.txt"] }
+
+[build-system]
+requires = ["setuptools", "setuptools_scm"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools.packages.find]
+where = ["src/"]
+include = [
+    "autotuner*",
+]
+
+[tool.setuptools]
+include-package-data = true

tools/AutoTuner/requirements-dev.txt

@@ -0,0 +1 @@
+black

tools/AutoTuner/src/autotuner/__init__.py

@@ -0,0 +1,4 @@
+"""
+AutoTuner module integrating Ray Tune and Vizier framework
+for ORFS parameters optimization.
+"""