Methodforward(ctx, x, geom_feats, ranks, B, D, H, W)
CUDA-V2XFusion/mmdet3d/ops/bev_pool/bev_pool.py:39
Methodforward(
self,
img,
points,
camera2ego,
lidar2ego,
lidar2camera,
CUDA-V2XFusion/mmdet3d/models/fusion_models/bevfusion.py:192
Methodforward(ctx, feat, depth, intervals, geom_feats, num_intervals, C, H, W)
CUDA-V2XFusion/mmdet3d/models/vtransforms/base.py:48
Methodforward(
self,
img,
points,
camera2ego,
lidar2ego,
lidar2camera,
CUDA-V2XFusion/mmdet3d/models/vtransforms/base.py:208
Methodforward(
self,
img,
points,
sensor2ego,
lidar2ego,
lidar2camera,
CUDA-V2XFusion/mmdet3d/models/vtransforms/base.py:252
Methodforward(
self,
img,
points,
camera2ego,
lidar2ego,
lidar2camera,
CUDA-V2XFusion/mmdet3d/models/vtransforms/base.py:501
Methodforward(self, images, feats, coords, N, intervals, geometry, num_intervals, camera_intrinsics, camera2lidar, denorms,
CUDA-V2XFusion/scripts/export_v2xfusion.py:155
Methodforward(ctx, input, normalized_shape, weight, bias, eps, x_shape)
CUDA-BEVFusion/qat/export-transfuser.py:244
Functioninference_and_save_tensor(model : nn.Module, voxels, coors, batch_size, inverse, save_tensor)
libraries/3DSparseConvolution/tool/bevfusion-export/exptool.py:270
Functioninference_and_save_tensor(model : nn.Module, voxels, coors, batch_size, inverse, save_tensor)
CUDA-BEVFusion/qat/lean/exptool.py:345
Methodlaunch(self, data0, data1, width, stride, height, format, stream, gpu_memory)
libraries/cuOSD/test/cuosd/__init__.py:60