Upload 3 files

.gitattributes

@@ -53,3 +53,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+snapshot_bw.dump filter=lfs diff=lfs merge=lfs -text
+snapshot_fw.dump filter=lfs diff=lfs merge=lfs -text

convert_dump.py

@@ -0,0 +1,78 @@
+import io
+from pathlib import Path
+
+import torch
+
+
+def save_tensor(tensor, name):
+    f = io.BytesIO()
+    torch.save(tensor, f, _use_new_zipfile_serialization=True)
+    with open(name, "wb") as out_f:
+        out_f.write(f.getbuffer())
+
+
+def process_forward_dump(dump_path: Path, output_path: Path):
+    output_path.mkdir(exist_ok=True, parents=True)
+    data = torch.load(dump_path)
+    arg_names = [
+        "bg",
+        "means3D",
+        "colors_precomp",
+        "opacities",
+        "scales",
+        "rotations",
+        "scale_modifier",
+        "cov3Ds_precomp",
+        "viewmatrix",
+        "projmatrix",
+        "tanfovx",
+        "tanfovy",
+        "image_height",
+        "image_width",
+        "sh",
+        "sh_degree",
+        "campos",
+        "prefiltered",
+        "debug",
+    ]
+    for tensor, name in zip(data, arg_names):
+        save_tensor(tensor, str(output_path / name) + ".pt")
+
+
+def process_backward_dump(dump_path: Path, output_path: Path):
+    output_path.mkdir(exist_ok=True, parents=True)
+    data = torch.load(dump_path)
+    arg_names = [
+        "bg",
+        "means3D",
+        "radii",
+        "colors_precomp",
+        "scales",
+        "rotations",
+        "scale_modifier",
+        "cov3Ds_precomp",
+        "viewmatrix",
+        "projmatrix",
+        "tanfovx",
+        "tanfovy",
+        "grad_out_color",
+        "grad_depth",
+        "grad_out_alpha",
+        "sh",
+        "sh_degree",
+        "campos",
+        "geomBuffer",
+        "num_rendered",
+        "binningBuffer",
+        "imgBuffer",
+        "alpha",
+        "debug"
+    ]
+    for tensor, name in zip(data, arg_names):
+        save_tensor(tensor, str(output_path / name) + ".pt")
+
+
+if __name__ == '__main__':
+    global_path = Path("/home/vy/projects/gaussian-rasterizer/test_data")
+    process_forward_dump(global_path / "snapshot_fw.dump", global_path / "forward_tensors")
+    process_backward_dump(global_path / "snapshot_bw.dump",  global_path / "backward_tensors")

snapshot_bw.dump

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a4681eb658702be08927df591f6e9e27f27acbfd4af3cf7c59218920a0147b56
+size 159351736

snapshot_fw.dump

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:18b4b8e9d3faed04a69f74588fd48a3d6af8a9726c25076eb3d720297605ab30
+size 33215025