↓ 1 callersFunctiontraining(dataset, opt, pipe, testing_iterations, saving_iterations, checkpoint, debug_from,
gaussian_dim,
train.py:37
↓ 1 callersFunctiontraining_report(tb_writer, iteration, Ll1, loss, l1_loss, elapsed, testing_iterations, scene : Scene, renderFunc, renderArgs,
train.py:277
Method__init__(self, sh_degree : int, gaussian_dim : int = 3, time_duration: list = [-0.5, 0.5], rot_4d: bool = False, force
scene/gaussian_model.py:63
Method__init__(self, colmap_id, R, T, FoVx, FoVy, image, gt_alpha_mask,
image_name, uid,
t
scene/cameras.py:20
Method__init__(self, width, height, fovy, fovx, znear, zfar, world_view_transform, full_proj_transform)
scene/cameras.py:92
Methodbackward input: grad_out: (n, nsample, c) output: grad_input1: (n, c), grad_input2: (n, c)
pointops2/functions/pointops_ablation.py:119
Methodbackward input: grad_out: (n, c) output: grad_input: (n, c), grad_position: (n, nsample, c), grad_weight : (n, nsample, c')
pointops2/functions/pointops_ablation.py:149
Methodbackward input: xyz: (m, 3), new_xyz: (n, 3), input: (m, c), offset: (b), new_offset: (b) output: (n, c)
pointops2/functions/pointops_ablation.py:203
Methodbackward input: grad_out: (n, nsample, c) output: grad_input1: (n, c), grad_input2: (n, c)
pointops2/functions/pointops2.py:118
Methodbackward input: grad_out: (n, c) output: grad_input: (n, c), grad_position: (n, nsample, c), grad_weight : (n, nsample, c')
pointops2/functions/pointops2.py:148
Methodbackward input: xyz: (m, 3), new_xyz: (n, 3), input: (m, c), offset: (b), new_offset: (b) output: (n, c)
pointops2/functions/pointops2.py:202
Methodbackward input: grad_output: (N, h, C//h) output: (M, h), (N, h, C//h), None, None
pointops2/functions/pointops.py:105
Methodbackward input: grad_output: (N, h, C//h) output: (M, h), (N, h, C//h), None, None
pointops2/functions/pointops.py:167
Methodbackward input: grad_output: (N, h, C//h) output: (M, h), (N, h, C//h), None, None
pointops2/functions/pointops.py:231
Methodbackward input: grad_output: (L, h, C//h) output: (M, h), (N, h, C//h), None, None
pointops2/functions/pointops.py:293
Methodbackward input: grad_output: [M, h] output: (N, h, hdim), None, (L, h, hdim, 3), None
pointops2/functions/pointops.py:338
Methodbackward input: grad_output: [M, h] output: (N, h, hdim), None, (L, h, hdim, 3), None
pointops2/functions/pointops.py:409
Methodbackward input: grad_output: [M, h] output: (N, h, hdim), None, (L, h, hdim, 3), None
pointops2/functions/pointops.py:485
Methodbackward input: grad_output: (N, h, C//h) output: (M, h), (N, h, C//h), None, None, (L, h, hdim, 3), None
pointops2/functions/pointops.py:543
Methodbackward input: grad_output: (N, h, C//h) output: (M, h), (N, h, C//h), None, None, (L, h, hdim, 3), None
pointops2/functions/pointops.py:607
Methodbackward input: grad_out: (n, nsample, c) output: grad_input1: (n, c), grad_input2: (n, c)
pointops2/functions/pointops.py:710
Methodbackward input: grad_out: (n, c) output: grad_input: (n, c), grad_position: (n, nsample, c), grad_weight : (n, nsample, c')
pointops2/functions/pointops.py:740
Methodbackward input: xyz: (m, 3), new_xyz: (n, 3), input: (m, c), offset: (b), new_offset: (b) output: (n, c)
pointops2/functions/pointops.py:821
Methodbackward(ctx, grad_out_color, grad_radii, grad_depth, grad_alpha, grad_flow, grad_covs_com)
gaussian_renderer/diff_gaussian_rasterization.py:138