Fix evaluation scripts

README.md

@@ -40,11 +40,12 @@ To build gsplat from source on Windows, please check [this instruction](docs/INS
 This repo comes with a standalone script that reproduces the official Gaussian Splatting with exactly the same performance on PSNR, SSIM, LPIPS, and converged number of Gaussians. Powered by gsplat’s efficient CUDA implementation, the training takes up to **4x less GPU memory** with up to **15% less time** to finish than the official implementation. Full report can be found [here](https://docs.gsplat.studio/main/tests/eval.html).
 
 ```bash
-pip install -r examples/requirements.txt
+cd examples
+pip install -r requirements.txt
 # download mipnerf_360 benchmark data
-python examples/datasets/download_dataset.py
+python datasets/download_dataset.py
 # run batch evaluation
-bash examples/benchmarks/basic.sh
+bash benchmarks/basic.sh
 ```
 
 ## Examples

gsplat/__init__.py

@@ -1,6 +1,7 @@
 import warnings
 
 from .compression import PngCompression
+from .optimizers import SelectiveAdam
 from .cuda._torch_impl import accumulate
 from .cuda._torch_impl_2dgs import accumulate_2dgs
 from .cuda._wrapper import (