Support python 3.7 (#77)

* Support python 3.7

* Add dependency

examples/train_mlp_dnerf.py

@@ -185,7 +185,7 @@ if __name__ == "__main__":
                 elapsed_time = time.time() - tic
                 loss = F.mse_loss(rgb[alive_ray_mask], pixels[alive_ray_mask])
                 print(
-                    f"elapsed_time={elapsed_time:.2f}s | {step=} | "
+                    f"elapsed_time={elapsed_time:.2f}s | step={step} | "
                     f"loss={loss:.5f} | "
                     f"alive_ray_mask={alive_ray_mask.long().sum():d} | "
                     f"n_rendering_samples={n_rendering_samples:d} | num_rays={len(pixels):d} |"
@@ -235,7 +235,7 @@ if __name__ == "__main__":
                         # )
                         # break
                 psnr_avg = sum(psnrs) / len(psnrs)
-                print(f"evaluation: {psnr_avg=}")
+                print(f"evaluation: psnr_avg={psnr_avg}")
                 train_dataset.training = True
 
             if step == max_steps:

examples/train_mlp_nerf.py

@@ -211,7 +211,7 @@ if __name__ == "__main__":
                 elapsed_time = time.time() - tic
                 loss = F.mse_loss(rgb[alive_ray_mask], pixels[alive_ray_mask])
                 print(
-                    f"elapsed_time={elapsed_time:.2f}s | {step=} | "
+                    f"elapsed_time={elapsed_time:.2f}s | step={step} | "
                     f"loss={loss:.5f} | "
                     f"alive_ray_mask={alive_ray_mask.long().sum():d} | "
                     f"n_rendering_samples={n_rendering_samples:d} | num_rays={len(pixels):d} |"
@@ -257,7 +257,7 @@ if __name__ == "__main__":
                         # )
                         # break
                 psnr_avg = sum(psnrs) / len(psnrs)
-                print(f"evaluation: {psnr_avg=}")
+                print(f"evaluation: psnr_avg={psnr_avg}")
                 train_dataset.training = True
 
             if step == max_steps:

examples/train_ngp_nerf.py

@@ -254,7 +254,7 @@ if __name__ == "__main__":
                 elapsed_time = time.time() - tic
                 loss = F.mse_loss(rgb[alive_ray_mask], pixels[alive_ray_mask])
                 print(
-                    f"elapsed_time={elapsed_time:.2f}s | {step=} | "
+                    f"elapsed_time={elapsed_time:.2f}s | step={step} | "
                     f"loss={loss:.5f} | "
                     f"alive_ray_mask={alive_ray_mask.long().sum():d} | "
                     f"n_rendering_samples={n_rendering_samples:d} | num_rays={len(pixels):d} |"
@@ -301,7 +301,7 @@ if __name__ == "__main__":
                         # )
                         # break
                 psnr_avg = sum(psnrs) / len(psnrs)
-                print(f"evaluation: {psnr_avg=}")
+                print(f"evaluation: psnr_avg={psnr_avg}")
                 train_dataset.training = True
 
             if step == max_steps:

nerfacc/version.py

 """
 Copyright (c) 2022 Ruilong Li, UC Berkeley.
 """
-from importlib.metadata import version
+try:
+    from importlib.metadata import version
+except ImportError:
+    # Running on pre-3.8 Python; use importlib-metadata package
+    from importlib_metadata import version
 
 __version__ = version("nerfacc")

pyproject.toml

@@ -9,8 +9,9 @@ description = "A General NeRF Acceleration Toolbox."
 readme = "README.md"
 authors = [{name = "Ruilong", email = "ruilongli94@gmail.com"}]
 license = { text="MIT" }
-requires-python = ">=3.8"
+requires-python = ">=3.7"
 dependencies = [
+    "importlib_metadata>=5.0.0; python_version<'3.8'",
     "ninja>=1.10.2.3",
     "pybind11>=2.10.0",
     "torch>=1.12.0",