Problems when running with gfx1201 (AMD Radeon RX 9070) card #304
Description
Hello,
I was able to install locally the Hunyuan3D-2 model, sadly when running on gfx1201 (AMD Radeon RX 9070) cards the result are as shown in photo when the render is able to running, but way often I see errors as follow:
/Hunyuan3D-2/hy3dgen/shapegen/models/autoencoders/volume_decoders.py:81: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:309.)
sliced = padded[slice_dims]
Traceback (most recent call last):
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/gradio/queueing.py", line 626, in process_events
response = await route_utils.call_process_api(
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/gradio/route_utils.py", line 350, in call_process_api
output = await app.get_blocks().process_api(
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/gradio/blocks.py", line 2235, in process_api
result = await self.call_function(
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/gradio/blocks.py", line 1746, in call_function
prediction = await anyio.to_thread.run_sync( # type: ignore
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2470, in run_sync_in_worker_thread
return await future
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 967, in run
result = context.run(func, *args)
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/gradio/utils.py", line 917, in wrapper
response = f(*args, **kwargs)
File "/Hunyuan3D-2/gradio_app.py", line 323, in shape_generation
mesh, image, save_folder, stats, seed = _gen_shape(
File "/Hunyuan3D-2/gradio_app.py", line 218, in _gen_shape
outputs = i23d_worker(
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
return func(*args, **kwargs)
File "/Hunyuan3D-2/hy3dgen/shapegen/pipelines.py", line 765, in __call__
return self._export(
File "/Hunyuan3D-2/hy3dgen/shapegen/pipelines.py", line 662, in _export
outputs = self.vae.latents2mesh(
File "/Hunyuan3D-2/hy3dgen/shapegen/models/autoencoders/model.py", line 173, in latents2mesh
grid_logits = self.volume_decoder(latents, self.geo_decoder, **kwargs)
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
return func(*args, **kwargs)
File "/Hunyuan3D-2/hy3dgen/shapegen/models/autoencoders/volume_decoders.py", line 399, in __call__
min_val = next_points.min(axis=0).values
IndexError: min(): Expected reduction dim 0 to have non-zero size.
or
/Hunyuan3D-2/hy3dgen/shapegen/models/autoencoders/volume_decoders.py:81: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:309.)
sliced = padded[slice_dims]
Traceback (most recent call last):
File "/Hunyuan3D-2/hy3dgen/shapegen/models/autoencoders/surface_extractors.py", line 54, in __call__
vertices, faces = self.run(grid_logits[i], **kwargs)
File "/Hunyuan3D-2/hy3dgen/shapegen/models/autoencoders/surface_extractors.py", line 69, in run
vertices, faces, normals, _ = measure.marching_cubes(
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/skimage/measure/_marching_cubes_lewiner.py", line 139, in marching_cubes
return _marching_cubes_lewiner(
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/skimage/measure/_marching_cubes_lewiner.py", line 206, in _marching_cubes_lewiner
raise RuntimeError('No surface found at the given iso value.')
RuntimeError: No surface found at the given iso value.
2025-07-17 18:10:03,430 - hy3dgen.shapgen - INFO - ---Shape generation takes 1.8881449699401855 seconds ---
Traceback (most recent call last):
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/gradio/queueing.py", line 626, in process_events
response = await route_utils.call_process_api(
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/gradio/route_utils.py", line 350, in call_process_api
output = await app.get_blocks().process_api(
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/gradio/blocks.py", line 2235, in process_api
result = await self.call_function(
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/gradio/blocks.py", line 1746, in call_function
prediction = await anyio.to_thread.run_sync( # type: ignore
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2470, in run_sync_in_worker_thread
return await future
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 967, in run
result = context.run(func, *args)
File "/Hunyuan3D-2/env310/lib/python3.10/site-packages/gradio/utils.py", line 917, in wrapper
response = f(*args, **kwargs)
File "/Hunyuan3D-2/gradio_app.py", line 258, in generation_all
mesh, image, save_folder, stats, seed = _gen_shape(
File "/Hunyuan3D-2/gradio_app.py", line 234, in _gen_shape
stats['number_of_faces'] = mesh.faces.shape[0]
AttributeError: 'NoneType' object has no attribute 'faces'
while the rendering are like
I'm kinda clueless on what is going on here, what I can do, beside doing some specific tests, is to report that I've used python 3.10 and 3.13 with the same results. The rocm installed is a 6.4