Closed huohuohuohuohuohuohuohuo closed 8 months ago
Hi @huohuohuohuohuohuohuohuo . Seems like you haven't installed TorchSparse++ correctly. Have you solved the problem?
I indeed installed TorchSprase++ successfully and no error is reported. I copied test_single_layer_conv.py and test_to_dense.py to another path and run them respectively and it worked.
Thank you for pointing that out. Generally, you can call these two *.py files directly by runing test.py in tests
. And I have fixed some outdated import operations in the codebase.
I didn't observe the same error as yours. I guess the error you met might be related to your python environment. The torchsparse.backend
may not be successfully linked at first.
Close this issue as completed. Feel free to reopen it if you have further questions.
Is there an existing issue for this?
Current Behavior
When I run the test.py in this project, I got 2 errors:
FAILED (errors=2)
Error Traceback (most recent call last): File "/home/hx/PycharmProjects/torchsparse/tests/test.py", line 20, in test_single_layer mean_adiff, max_rdiff = test_single_layer_convolution_forward( File "/home/hx/PycharmProjects/torchsparse/tests/python/test_single_layer_conv.py", line 202, in test_single_layer_convolution_forward out = model(feats_t, coords_t) File "/home/hx/anaconda3/envs/torchsparse/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1190, in _call_impl return forward_call(*input, kwargs) File "/home/hx/PycharmProjects/torchsparse/tests/python/test_single_layer_conv.py", line 61, in forward return self.net(ts_tensor) File "/home/hx/anaconda3/envs/torchsparse/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1190, in _call_impl return forward_call(*input, *kwargs) File "/home/hx/anaconda3/envs/torchsparse/lib/python3.9/site-packages/torch/nn/modules/container.py", line 204, in forward input = module(input) File "/home/hx/anaconda3/envs/torchsparse/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1190, in _call_impl return forward_call(input, kwargs) File "/home/hx/PycharmProjects/torchsparse/torchsparse/nn/modules/conv.py", line 98, in forward return F.conv3d( File "/home/hx/PycharmProjects/torchsparse/torchsparse/nn/functional/conv/conv.py", line 92, in conv3d kmap = F.build_kernel_map( File "/home/hx/PycharmProjects/torchsparse/torchsparse/nn/functional/conv/kmap/build_kmap.py", line 85, in build_kernel_map kmap = build_kmap_implicit_GEMM_hashmap_on_the_fly( File "/home/hx/PycharmProjects/torchsparse/torchsparse/nn/functional/conv/kmap/func/hashmap_on_the_fly.py", line 48, in build_kmap_implicit_GEMM_hashmap_on_the_fly func = torchsparse.backend.build_kernel_map_subm_hashmap AttributeError: module 'torchsparse.backend' has no attribute 'build_kernel_map_subm_hashmap'
Error Traceback (most recent call last): File "/home/hx/PycharmProjects/torchsparse/tests/test.py", line 46, in test_to_dense max_adiff = test_to_dense_forward() File "/home/hx/PycharmProjects/torchsparse/tests/python/test_to_dense.py", line 48, in test_to_dense_forward output = to_dense(feats_t, coords_t, spatial_range).cpu().numpy() File "/home/hx/PycharmProjects/torchsparse/torchsparse/utils/to_dense.py", line 64, in to_dense return ToDenseFunction.apply(feats, coords, spatial_range) File "/home/hx/PycharmProjects/torchsparse/torchsparse/utils/to_dense.py", line 30, in forward torchsparse.backend.to_dense_forward_cuda( AttributeError: module 'torchsparse.backend' has no attribute 'to_dense_forward_cuda'
Expected Behavior
No error
Environment
Anything else?
No response