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Hi, I was trying voxel_gen.py included in the example of this repository
import numpy as np import spconv.pytorch as spconv from spconv.utils import Point2VoxelCPU3d from spconv.pytorch.utils import PointToVoxel import torch pc = np.random.uniform(-2, 8, size=[100, 3]).astype(np.float32) device = torch.device("cuda") gen = PointToVoxel(vsize_xyz=[0.25, 0.25, 0.25], coors_range_xyz=[0, 0, 0, 10, 10, 10], num_point_features=3, max_num_voxels=500, max_num_points_per_voxel=5, device=device) pc_th = torch.from_numpy(pc).to(device) voxels_th, indices_th, num_p_in_vx_th = gen(pc_th) batch_idx = torch.zeros((indices_th.shape[0], 1), dtype=torch.int32).to(device) indices_th = torch.cat((batch_idx, indices_th), dim=1) voxels_th = torch.mean(voxels_th, dim=1) voxel_feature = spconv.SparseConvTensor(features=voxels_th, indices=indices_th, spatial_shape=[10, 10, 10], batch_size=1) simple_net = spconv.SubMConv3d(in_channels=3, out_channels=6, kernel_size=3, padding=1, stride=2) output = simple_net(voxel_feature)
I got error:
mask_width, tune_res_cpp = ConvGemmOps.implicit_gemm( RuntimeError: /io/build/temp.linux-x86_64-cpython-310/spconv/build/core_cc/src/cumm/conv/main/ConvMainUnitTest/ConvMainUnitTest_matmul_split_Simt_f32f32f32_0.cu:1047 cuda execution failed with error 700 an illegal memory access was encountered Simt_f32f32f32f32f32tnt_m32n128k16m32n32k8A1_200_C301LLL_SK error with params [48, 3] [6, 27, 3] [48, 6] [27, 48] [48, 1] [48] [] -1
Please help me. Thanks.
The text was updated successfully, but these errors were encountered:
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Hi, I was trying voxel_gen.py included in the example of this repository
I got error:
Please help me. Thanks.
The text was updated successfully, but these errors were encountered: