Datasets:
untimeError: probability tensor contains either inf, nan or element < 0
I generated the mmprojector from the input model in the builder, but encountered a situation where inputs_id has negative numbers during inference. Has anyone encountered this before?
I used python -m llava.serve.model_worker --host 0.0.0.0 --controller http://localhost:10000 --port 40000 --worker http://localhost:40000
--model-path "/Public_data/CT-RATE/models/CT-CHAT/llama_lora__3.1_8b" --model-base "/basemodel/LLM-Research/llava-lora-Meta-Llama-3-8B" --model-name llava
2025-06-06 19:53:43 | INFO | stdout | 5938, 6593, 13650, 13, 1472, 527, 19167, 311, 4320,
2025-06-06 19:53:43 | INFO | stdout | 4860, 323, 3085, 11944, 29060, 1193, 994, 279, 19084,
2025-06-06 19:53:43 | INFO | stdout | 8286, 14, 16810, 24234, 374, 3984, 11, 16717, 555,
2025-06-06 19:53:43 | INFO | stdout | 279, 366, 64525, 29, 4037, 13, 1442, 420, 4037,
2025-06-06 19:53:43 | INFO | stdout | 374, 539, 3118, 323, 3932, 68270, 922, 3230, 14955,
2025-06-06 19:53:43 | INFO | stdout | 11, 1853, 9268, 11, 477, 1715, 28887, 5552, 311,
2025-06-06 19:53:43 | INFO | stdout | 264, 42871, 19084, 11, 6013, 555, 35792, 279, 5995,
2025-06-06 19:53:43 | INFO | stdout | 828, 449, 279, 17571, 25, 1054, 5618, 3493, 279,
2025-06-06 19:53:43 | INFO | stdout | 19084, 8286, 2029, 9843, 279, 366, 64525, 29, 4037,
2025-06-06 19:53:43 | INFO | stdout | 374, 3118, 304, 279, 3488, 11, 499, 527, 19144,
2025-06-06 19:53:43 | INFO | stdout | 311, 2686, 4860, 922, 1853, 9268, 11, 75893, 950,
2025-06-06 19:53:43 | INFO | stdout | 477, 14830, 14955, 11, 15439, 28887, 11, 1934, 9659,
2025-06-06 19:53:43 | INFO | stdout | 11, 36595, 11, 477, 904, 1023, 4860, 9002, 279,
2025-06-06 19:53:43 | INFO | stdout | 2217, 13, 1442, 433, 1587, 539, 5101, 304, 279,
2025-06-06 19:53:43 | INFO | stdout | 3488, 11, 1524, 994, 3361, 11460, 366, 36773, 33036,
2025-06-06 19:53:43 | INFO | stdout | 8226, 366, 11998, 65291, 8226, 366, 4930, 29634, 8226,
2025-06-06 19:53:43 | INFO | stdout | 323, 366, 8846, 29634, 29, 527, 2728, 11, 10240,
2025-06-06 19:53:43 | INFO | stdout | 279, 3488, 323, 2610, 369, 279, 19084, 8286, 13,
2025-06-06 19:53:43 | INFO | stdout | 24119, 1427, 369, 279, 366, 64525, 29, 4037, 11,
2025-06-06 19:53:43 | INFO | stdout | 1524, 422, 1070, 527, 3361, 11460, 13, 1442, 1070,
2025-06-06 19:53:43 | INFO | stdout | 374, 264, 366, 64525, 29, 4037, 304, 904, 3488,
2025-06-06 19:53:43 | INFO | stdout | 320, 16564, 502, 323, 3766, 6305, 705, 2646, 2610,
2025-06-06 19:53:43 | INFO | stdout | 369, 279, 19084, 8286, 1578, 323, 4320, 279, 3488,
2025-06-06 19:53:43 | INFO | stdout | 13, 1472, 649, 10240, 279, 366, 64525, 29, 4037,
2025-06-06 19:53:43 | INFO | stdout | 1817, 323, 4320, 279, 3488, 6089, 422, 323, 1193,
2025-06-06 19:53:43 | INFO | stdout | 422, 279, 3488, 374, 922, 4689, 6593, 6677, 11,
2025-06-06 19:53:43 | INFO | stdout | 539, 922, 279, 3984, 19084, 8286, 320, 21470, 439,
2025-06-06 19:53:43 | INFO | stdout | 14595, 14955, 389, 264, 42871, 19084, 477, 6373, 315,
2025-06-06 19:53:43 | INFO | stdout | 279, 8893, 570, 1789, 3187, 11, 1054, 3923, 527,
2025-06-06 19:53:43 | INFO | stdout | 279, 14595, 32758, 14955, 315, 30883, 42631, 35104, 28439,
2025-06-06 19:53:43 | INFO | stdout | 320, 60994, 8, 389, 264, 15489, 19084, 12671, 374,
2025-06-06 19:53:43 | INFO | stdout | 264, 4689, 3488, 539, 3230, 13, 1442, 1217, 17501,
2025-06-06 19:53:43 | INFO | stdout | 264, 19084, 3230, 3488, 1306, 2536, 1355, 20975, 1104,
2025-06-06 19:53:43 | INFO | stdout | 3488, 11, 1427, 369, 279, 366, 64525, 29, 4037,
2025-06-06 19:53:43 | INFO | stdout | 439, 1664, 1524, 422, 279, 3361, 11460, 527, 2728,
2025-06-06 19:53:43 | INFO | stdout | 13, 1102, 374, 16996, 311, 5766, 25394, 13650, 4994,
2025-06-06 19:53:43 | INFO | stdout | 315, 42871, 19084, 32758, 323, 6089, 5552, 6593, 2038,
2025-06-06 19:53:43 | INFO | stdout | 11, 23391, 430, 682, 14847, 527, 2867, 11, 64694,
2025-06-06 19:53:43 | INFO | stdout | 11, 323, 10968, 389, 279, 3984, 42871, 19084, 828,
2025-06-06 19:53:43 | INFO | stdout | 369, 279, 8592, 2237, 315, 13708, 323, 41961, 13,
2025-06-06 19:53:43 | INFO | stdout | 1442, 279, 1217, 2886, 1441, 499, 449, 2555, 1093,
2025-06-06 19:53:43 | INFO | stdout | 1054, 15339, 2476, 6013, 36001, 13, 128009, 128006, 882,
2025-06-06 19:53:43 | INFO | stdout | 128007, 271, -100, 198, 27, 64525, 29, 4919, 499,
2025-06-06 19:53:43 | INFO | stdout | 7068, 264, 1934, 369, 420, 8893, 30, 366, 11998,
2025-06-06 19:53:43 | INFO | stdout | 65291, 29, 128009, 128006, 78191, 128007, 271, 334, 87984,
2025-06-06 19:53:43 | INFO | stdout | 13170, 423, 2279, 5257, 38717, 5091, 49145, 1341, 13,
2025-06-06 19:53:43 | INFO | stdout | 54233, 3680, 57072, 2390, 2794, 39129, 21915, 10245, 26095,
2025-06-06 19:53:43 | INFO | stdout | 13, 334, 128009, 128006, 882, 128007, 271, 4919, 499,
2025-06-06 19:53:43 | INFO | stdout | 7068, 264, 1934, 369, 420, 8893, 30, 366, 11998,
2025-06-06 19:53:43 | INFO | stdout | 65291, 29, 128009, 128006, 78191, 128007, 271]],
2025-06-06 19:53:43 | INFO | stdout | device='cuda:0')
2025-06-06 19:53:43 | INFO | stdout | tensor([[[-1.4305e-04, 1.0777e-04, -1.9646e-04, ..., 2.0218e-04,
2025-06-06 19:53:43 | INFO | stdout | 1.4842e-05, 3.0136e-04],
2025-06-06 19:53:43 | INFO | stdout | [-1.4305e-04, 1.0777e-04, -1.9646e-04, ..., 2.0218e-04,
2025-06-06 19:53:43 | INFO | stdout | 1.4842e-05, 3.0136e-04],
2025-06-06 19:53:43 | INFO | stdout | [-0.0000e+00, 0.0000e+00, -0.0000e+00, ..., -0.0000e+00,
2025-06-06 19:53:43 | INFO | stdout | -0.0000e+00, 0.0000e+00],
2025-06-06 19:53:43 | INFO | stdout | ...,
2025-06-06 19:53:43 | INFO | stdout | [-8.8501e-03, -2.9602e-03, 4.8523e-03, ..., 2.8229e-04,
2025-06-06 19:53:43 | INFO | stdout | -1.3046e-03, 8.1787e-03],
2025-06-06 19:53:43 | INFO | stdout | [ 0.0000e+00, 0.0000e+00, -0.0000e+00, ..., 0.0000e+00,
2025-06-06 19:53:43 | INFO | stdout | 0.0000e+00, 0.0000e+00],
2025-06-06 19:53:43 | INFO | stdout | [-2.6398e-03, 4.0894e-03, -4.8280e-06, ..., 1.6937e-03,
2025-06-06 19:53:43 | INFO | stdout | -9.3079e-04, 1.6479e-03]]], device='cuda:0', dtype=torch.float16)
Setting pad_token_id to eos_token_id:128001 for open-end generation.
2025-06-06 19:53:43 | INFO | model_worker | Send heart beat. Models: ['llava']. Semaphore: Semaphore(value=4, locked=False). global_counter: 2
2025-06-06 19:53:43 | ERROR | stderr | Exception in thread Thread-4 (generate):
2025-06-06 19:53:43 | ERROR | stderr | Traceback (most recent call last):
2025-06-06 19:53:43 | ERROR | stderr | File "/home/jiawei/.conda/envs/ctchat/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
2025-06-06 19:53:43 | ERROR | stderr | self.run()
2025-06-06 19:53:43 | ERROR | stderr | File "/home/jiawei/.conda/envs/ctchat/lib/python3.10/threading.py", line 946, in run
2025-06-06 19:53:43 | ERROR | stderr | self._target(*self._args, **self._kwargs)
2025-06-06 19:53:43 | ERROR | stderr | File "/home/jiawei/.conda/envs/ctchat/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
2025-06-06 19:53:43 | ERROR | stderr | return func(*args, **kwargs)
2025-06-06 19:53:43 | ERROR | stderr | File "/home/jiawei/project/CT-CHAT/llava/model/language_model/llava_llama.py", line 161, in generate
2025-06-06 19:53:43 | ERROR | stderr | return super().generate(
2025-06-06 19:53:43 | ERROR | stderr | File "/home/jiawei/.conda/envs/ctchat/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
2025-06-06 19:53:43 | ERROR | stderr | return func(*args, **kwargs)
2025-06-06 19:53:43 | ERROR | stderr | File "/home/jiawei/.conda/envs/ctchat/lib/python3.10/site-packages/transformers/generation/utils.py", line 2024, in generate
2025-06-06 19:53:43 | ERROR | stderr | result = self._sample(
2025-06-06 19:53:43 | ERROR | stderr | File "/home/jiawei/.conda/envs/ctchat/lib/python3.10/site-packages/transformers/generation/utils.py", line 3022, in _sample
2025-06-06 19:53:43 | ERROR | stderr | next_tokens = torch.multinomial(probs, num_samples=1).squeeze(1)
2025-06-06 19:53:43 | ERROR | stderr | RuntimeError: probability tensor contains either inf, nan or element < 0