Use pyproject.toml + Hatch instead of setup.py

Sibling of Stability-AI/stablediffusion#269

pyproject.toml

@@ -0,0 +1,34 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "sgm"
+dynamic = ["version"]
+description = "Stability Generative Models"
+readme = "README.md"
+license-files = { paths = ["LICENSE"] }
+requires-python = ">=3.8"
+
+[project.urls]
+Homepage = "https://github.com/Stability-AI/generative-models"
+
+[tool.hatch.version]
+path = "sgm/__init__.py"
+
+[tool.hatch.build]
+# This needs to be explicitly set so the configuration files
+# grafted into the `sgm` directory get included in the wheel's
+# RECORD file.
+include = [
+    "sgm",
+]
+# The force-include configurations below make Hatch copy
+# the configs/ directory (containing the various YAML files required
+# to generatively model) into the source distribution and the wheel.
+
+[tool.hatch.build.targets.sdist.force-include]
+"./configs" = "sgm/configs"
+
+[tool.hatch.build.targets.wheel.force-include]
+"./configs" = "sgm/configs"

sgm/__init__.py

@@ -1,3 +1,5 @@
 from .data import StableDataModuleFromConfig
 from .models import AutoencodingEngine, DiffusionEngine
-from .util import instantiate_from_config
+from .util import instantiate_from_config, get_configs_path
+
+__version__ = "0.0.1"

sgm/util.py

@@ -229,3 +229,21 @@ def load_model_from_config(config, ckpt, verbose=True, freeze=True):
 
     model.eval()
     return model
+
+
+def get_configs_path() -> str:
+    """
+    Get the `configs` directory.
+    For a working copy, this is the one in the root of the repository,
+    but for an installed copy, it's in the `sgm` package (see pyproject.toml).
+    """
+    this_dir = os.path.dirname(__file__)
+    candidates = (
+        os.path.join(this_dir, "configs"),
+        os.path.join(this_dir, "..", "configs"),
+    )
+    for candidate in candidates:
+        candidate = os.path.abspath(candidate)
+        if os.path.isdir(candidate):
+            return candidate
+    raise FileNotFoundError(f"Could not find SGM configs in {candidates}")