Assertion `failed on every thread

[Aiedails]

Thanks for your pytorch version! While after the training start, it says there NaN or Inf found in input tensor, and Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed. The output is listed below:

python main_insta.py data/wojtek_1 --workspace workspace/wojtek_1 -O --tcnn                                                                  (insta-pytorch)
Namespace(path='data/wojtek_1', O=True, test=False, workspace='workspace/wojtek_1', seed=49, iters=100000, val_freq=10, lr=0.0025, ckpt='latest', num_rays=4096, cuda_ray=True, max_steps=1024, num_steps=1024, upsample_steps=0, update_extra_interval=16, max_ray_batch=4096, patch_size=1, fp16=True, ff=False, tcnn=True, color_space='srgb', preload=True, bound=2, scale=1, offset=[0, 0, 0], dt_gamma=0.00390625, min_near=0.01, density_thresh=10, bg_radius=-1, gui=False, W=512, H=512, radius=5, fovy=50, max_spp=64, error_map=False, clip_text='', rand_pose=-1)
=========== NETWORK TCNN ===========
NeRFNetwork(
  (encoder): Encoding(n_input_dims=3, n_output_dims=128, seed=1337, dtype=torch.float16, hyperparams={'base_resolution': 16, 'hash': 'CoherentPrime', 'interpolation': 'Linear', 'log2_hashmap_size': 18, 'n_features_per_level': 8, 'n_levels': 16, 'otype': 'Grid', 'per_level_scale': 1.4472692012786865, 'type': 'Hash'})
  (sigma_net): Network(n_input_dims=144, n_output_dims=16, seed=1337, dtype=torch.float16, hyperparams={'encoding': {'offset': 0.0, 'otype': 'Identity', 'scale': 1.0}, 'network': {'activation': 'ReLU', 'n_hidden_layers': 2, 'n_neurons': 64, 'otype': 'FullyFusedMLP', 'output_activation': 'None'}, 'otype': 'NetworkWithInputEncoding'})
  (encoder_dir): Encoding(n_input_dims=3, n_output_dims=16, seed=1337, dtype=torch.float16, hyperparams={'degree': 4, 'otype': 'SphericalHarmonics'})
  (color_net): Network(n_input_dims=31, n_output_dims=3, seed=1337, dtype=torch.float16, hyperparams={'encoding': {'offset': 0.0, 'otype': 'Identity', 'scale': 1.0}, 'network': {'activation': 'ReLU', 'n_hidden_layers': 3, 'n_neurons': 64, 'otype': 'FullyFusedMLP', 'output_activation': 'None'}, 'otype': 'NetworkWithInputEncoding'})
)
data/wojtek_1
data/wojtek_1/canonical.obj
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1500/1500 [00:38<00:00, 39.42it/s]
Setting up [LPIPS] perceptual loss: trunk [alex], v[0.1], spatial [off]
/home/wangzy/miniconda3/envs/insta-pytorch/lib/python3.9/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
  warnings.warn(
/home/wangzy/miniconda3/envs/insta-pytorch/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=AlexNet_Weights.IMAGENET1K_V1`. You can also use `weights=AlexNet_Weights.DEFAULT` to get the most up-to-date weights.
  warnings.warn(msg)
Loading model from: /home/wangzy/miniconda3/envs/insta-pytorch/lib/python3.9/site-packages/lpips/weights/v0.1/alex.pth
[INFO] Trainer: ngp | 2023-04-07_15-40-45 | cuda | fp16 | workspace/wojtek_1
[INFO] #parameters: 26590464
[INFO] Loading latest checkpoint ...
[WARN] No checkpoint found, model randomly initialized.
data/wojtek_1
data/wojtek_1/canonical.obj
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:00<00:00, 43.93it/s]
[mark untrained grid] 4194084 from 4194304
==> Start Training Epoch 1, lr=0.002500 ...
  0% 0/1500 [00:00<?, ?it/s]NaN or Inf found in input tensor.
loss=nan (nan), lr=0.002500: :   0% 1/1500 [00:00<06:20,  3.94it/s]NaN or Inf found in input tensor.
loss=nan (nan), lr=0.002500: :   0% 1/1500 [00:00<06:20,  3.94it/s]NaN or Inf found in input tensor.
loss=nan (nan), lr=0.002500: :   0% 2/1500 [00:00<06:20,  3.94it/s]NaN or Inf found in input tensor.
loss=353813397595729098627955600845176832.0000 (nan), lr=0.002500: :   0% 5/1500 [00:00<01:33, 15.93it/s]NaN or Inf found in input tensor.
loss=25.2939 (nan), lr=0.002500: :   0% 6/1500 [00:00<01:33, 15.93it/s]NaN or Inf found in input tensor.
loss=0.1733 (nan), lr=0.002500: :   1% 10/1500 [00:00<01:07, 22.14it/s]                       NaN or Inf found in input tensor.
loss=459.3705 (nan), lr=0.002500: :   1% 13/1500 [00:00<00:58, 25.51it/s]NaN or Inf found in input tensor.
loss=nan (nan), lr=0.002500: :   1% 13/1500 [00:00<00:58, 25.51it/s]     NaN or Inf found in input tensor.
loss=1.0937 (nan), lr=0.002500: :   1% 15/1500 [00:00<00:58, 25.51it/s]../aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [52,0,0], thread: [96,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
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../aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [8,0,0], thread: [57,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
../aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [8,0,0], thread: [58,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
../aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [8,0,0], thread: [59,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
../aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [8,0,0], thread: [60,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
../aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [8,0,0], thread: [61,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
../aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [8,0,0], thread: [62,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
../aten/src/ATen/native/cuda/IndexKernel.cu:92: operator(): block: [8,0,0], thread: [63,0,0] Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.
terminate called after throwing an instance of 'thrust::system::system_error'
  what():  CUDA free failed: cudaErrorAssert: device-side assert triggered
fish: Job 1, 'python main_insta.py data/wojte…' terminated by signal SIGABRT (Abort)

If there's any other information I need to provide, please let me know!