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Hi @dusk0703, It looks like you're running out of memory on your GPU to run this model. This typically would happen during the training step since that requires more GPU memory than inference, so I presume you trained this on Colab or another machine? In any case, the problem is that the GPU you have (NVIDIA GeForce RTX 3050 Ti Laptop GPU) only has 1657 MB of memory, which is a bit too small for most deep neural network models unfortunately. Things you can try:
Give those a go and let us know if you have any questions! Cheers, Talmo |
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Hi, I'm trying to run an inference on suggested frames through the gui but keep getting errors. Fairly new to all of this so hoping you might be able to point me in the right direction? All help very much appreciated!
Command line call:
sleap-track C:/Users/Ben07/OneDrive - The University of Nottingham/General - Calving MRes/sleap/New folder/final_model_development.slp --only-suggested-frames -m C:/Users/Ben07/OneDrive - The University of Nottingham/General - Calving MRes/sleap/New folder\models\231213_100935.centroid.n=84\training_config.json -m C:/Users/Ben07/OneDrive - The University of Nottingham/General - Calving MRes/sleap/New folder\models\231213_111317.centered_instance.n=84\training_config.json --tracking.tracker none -o C:/Users/Ben07/OneDrive - The University of Nottingham/General - Calving MRes/sleap/New folder\predictions\final_model_development.slp.231215_115653.predictions.slp --verbosity json --no-empty-frames
Started inference at: 2023-12-15 11:56:57.816946
Args:
{
'data_path': 'C:/Users/Ben07/OneDrive - The University of Nottingham/General - Calving MRes/sleap/New folder/final_model_development.slp',
'models': [
'C:/Users/Ben07/OneDrive - The University of Nottingham/General - Calving MRes/sleap/New folder\models\231213_100935.centroid.n=84\training_config.json',
'C:/Users/Ben07/OneDrive - The University of Nottingham/General - Calving MRes/sleap/New folder\models\231213_111317.centered_instance.n=84\training_config.json'
],
'frames': '',
'only_labeled_frames': False,
'only_suggested_frames': True,
'output': 'C:/Users/Ben07/OneDrive - The University of Nottingham/General - Calving MRes/sleap/New folder\predictions\final_model_development.slp.231215_115653.predictions.slp',
'no_empty_frames': True,
'verbosity': 'json',
'video.dataset': None,
'video.input_format': 'channels_last',
'video.index': '',
'cpu': False,
'first_gpu': False,
'last_gpu': False,
'gpu': 'auto',
'max_edge_length_ratio': 0.25,
'dist_penalty_weight': 1.0,
'batch_size': 4,
'open_in_gui': False,
'peak_threshold': 0.2,
2023-12-15 11:56:59.212059: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
'max_instances': None,
'tracking.tracker': 'none',
'tracking.max_tracking': None,
'tracking.max_tracks': None,
'tracking.target_instance_count': None,
'tracking.pre_cull_to_target': None,
'tracking.pre_cull_iou_threshold': None,
'tracking.post_connect_single_breaks': None,
'tracking.clean_instance_count': None,
2023-12-15 11:56:59.669441: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1525] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 1657 MB memory: -> device: 0, name: NVIDIA GeForce RTX 3050 Ti Laptop GPU, pci bus id: 0000:01:00.0, compute capability: 8.6
'tracking.clean_iou_threshold': None,
'tracking.similarity': None,
'tracking.match': None,
'tracking.robust': None,
'tracking.track_window': None,
'tracking.min_new_track_points': None,
'tracking.min_match_points': None,
'tracking.img_scale': None,
'tracking.of_window_size': None,
'tracking.of_max_levels': None,
'tracking.save_shifted_instances': None,
'tracking.kf_node_indices': None,
'tracking.kf_init_frame_count': None
}
INFO:sleap.nn.inference:Auto-selected GPU 0 with 3475 MiB of free memory.
2023-12-15 11:57:28.027186: I tensorflow/stream_executor/cuda/cuda_dnn.cc:366] Loaded cuDNN version 8201
2023-12-15 11:57:35.809774: W tensorflow/core/common_runtime/bfc_allocator.cc:275] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.61GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2023-12-15 11:57:35.810164: W tensorflow/core/common_runtime/bfc_allocator.cc:275] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.61GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2023-12-15 11:57:35.908552: W tensorflow/core/common_runtime/bfc_allocator.cc:275] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.63GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2023-12-15 11:57:35.908870: W tensorflow/core/common_runtime/bfc_allocator.cc:275] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.63GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2023-12-15 11:57:36.029954: W tensorflow/core/common_runtime/bfc_allocator.cc:275] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.72GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2023-12-15 11:57:36.030291: W tensorflow/core/common_runtime/bfc_allocator.cc:275] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.72GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2023-12-15 11:57:36.166764: W tensorflow/core/common_runtime/bfc_allocator.cc:343] Garbage collection: deallocate free memory regions (i.e., allocations) so that we can re-allocate a larger region to avoid OOM due to memory fragmentation. If you see this message frequently, you are running near the threshold of the available device memory and re-allocation may incur great performance overhead. You may try smaller batch sizes to observe the performance impact. Set TF_ENABLE_GPU_GARBAGE_COLLECTION=false if you'd like to disable this feature.
2023-12-15 11:57:36.201295: W tensorflow/core/common_runtime/bfc_allocator.cc:275] Allocator (GPU_0_bfc) ran out of memory trying to allocate 766.00MiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2023-12-15 11:57:36.201494: W tensorflow/core/kernels/gpu_utils.cc:49] Failed to allocate memory for convolution redzone checking; skipping this check. This is benign and only means that we won't check cudnn for out-of-bounds reads and writes. This message will only be printed once.
2023-12-15 11:57:36.260895: W tensorflow/core/common_runtime/bfc_allocator.cc:275] Allocator (GPU_0_bfc) ran out of memory trying to allocate 859.75MiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2023-12-15 11:57:36.261380: W tensorflow/core/common_runtime/bfc_allocator.cc:275] Allocator (GPU_0_bfc) ran out of memory trying to allocate 859.75MiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2023-12-15 11:57:36.363563: W tensorflow/core/common_runtime/bfc_allocator.cc:275] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.98GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2023-12-15 11:57:46.376269: W tensorflow/core/common_runtime/bfc_allocator.cc:462] Allocator (GPU_0_bfc) ran out of memory trying to allocate 750.00MiB (rounded to 786432000)requested by op top_down_inference_model/find_instance_peaks/model/stack0_enc0_act1_relu/Relu
If the cause is memory fragmentation maybe the environment variable 'TF_GPU_ALLOCATOR=cuda_malloc_async' will improve the situation.
Current allocation summary follows.
Current allocation summary follows.
2023-12-15 11:57:46.376508: I tensorflow/core/common_runtime/bfc_allocator.cc:1010] BFCAllocator dump for GPU_0_bfc
2023-12-15 11:57:46.376652: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (256): Total Chunks: 93, Chunks in use: 93. 23.2KiB allocated for chunks. 23.2KiB in use in bin. 3.3KiB client-requested in use in bin.
2023-12-15 11:57:46.378421: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (512): Total Chunks: 7, Chunks in use: 7. 4.0KiB allocated for chunks. 4.0KiB in use in bin. 3.5KiB client-requested in use in bin.
2023-12-15 11:57:46.378463: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (1024): Total Chunks: 11, Chunks in use: 9. 16.0KiB allocated for chunks. 12.8KiB in use in bin. 11.4KiB client-requested in use in bin.
2023-12-15 11:57:46.378520: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (2048): Total Chunks: 4, Chunks in use: 3. 11.8KiB allocated for chunks. 8.8KiB in use in bin. 8.5KiB client-requested in use in bin.
2023-12-15 11:57:46.378548: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (4096): Total Chunks: 1, Chunks in use: 0. 4.5KiB allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2023-12-15 11:57:46.378584: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (8192): Total Chunks: 2, Chunks in use: 1. 21.8KiB allocated for chunks. 13.0KiB in use in bin. 9.0KiB client-requested in use in bin.
2023-12-15 11:57:46.378612: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (16384): Total Chunks: 1, Chunks in use: 1. 18.0KiB allocated for chunks. 18.0KiB in use in bin. 18.0KiB client-requested in use in bin.
2023-12-15 11:57:46.378641: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (32768): Total Chunks: 10, Chunks in use: 5. 419.5KiB allocated for chunks. 194.2KiB in use in bin. 174.8KiB client-requested in use in bin.
2023-12-15 11:57:46.378669: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (65536): Total Chunks: 4, Chunks in use: 3. 397.5KiB allocated for chunks. 316.5KiB in use in bin. 261.0KiB client-requested in use in bin.
2023-12-15 11:57:46.378696: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (131072): Total Chunks: 5, Chunks in use: 3. 777.0KiB allocated for chunks. 453.0KiB in use in bin. 450.0KiB client-requested in use in bin.
2023-12-15 11:57:46.378761: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (262144): Total Chunks: 4, Chunks in use: 3. 1.46MiB allocated for chunks. 1.17MiB in use in bin. 1.02MiB client-requested in use in bin.
2023-12-15 11:57:46.378789: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (524288): Total Chunks: 5, Chunks in use: 3. 3.38MiB allocated for chunks. 1.76MiB in use in bin. 1.76MiB client-requested in use in bin.
2023-12-15 11:57:46.378816: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (1048576): Total Chunks: 2, Chunks in use: 1. 2.62MiB allocated for chunks. 1.12MiB in use in bin. 1.12MiB client-requested in use in bin.
2023-12-15 11:57:46.378842: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (2097152): Total Chunks: 5, Chunks in use: 4. 11.66MiB allocated for chunks. 8.82MiB in use in bin. 7.73MiB client-requested in use in bin.
2023-12-15 11:57:46.378871: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (4194304): Total Chunks: 5, Chunks in use: 2. 26.95MiB allocated for chunks. 10.12MiB in use in bin. 10.12MiB client-requested in use in bin.
2023-12-15 11:57:46.378919: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (8388608): Total Chunks: 3, Chunks in use: 3. 37.00MiB allocated for chunks. 37.00MiB in use in bin. 37.00MiB client-requested in use in bin.
2023-12-15 11:57:46.378947: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (16777216): Total Chunks: 3, Chunks in use: 1. 66.53MiB allocated for chunks. 20.25MiB in use in bin. 20.25MiB client-requested in use in bin.
2023-12-15 11:57:46.378973: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (33554432): Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2023-12-15 11:57:46.379000: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (67108864): Total Chunks: 1, Chunks in use: 0. 70.75MiB allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2023-12-15 11:57:46.379027: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (134217728): Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2023-12-15 11:57:46.379054: I tensorflow/core/common_runtime/bfc_allocator.cc:1017] Bin (268435456): Total Chunks: 3, Chunks in use: 1. 1.40GiB allocated for chunks. 750.00MiB in use in bin. 750.00MiB client-requested in use in bin.
2023-12-15 11:57:46.379082: I tensorflow/core/common_runtime/bfc_allocator.cc:1033] Bin for 750.00MiB was 256.00MiB, Chunk State:
2023-12-15 11:57:46.379109: I tensorflow/core/common_runtime/bfc_allocator.cc:1039] Size: 256.00MiB | Requested Size: 93.75MiB | in_use: 0 | bin_num: 20
2023-12-15 11:57:46.379135: I tensorflow/core/common_runtime/bfc_allocator.cc:1039] Size: 429.88MiB | Requested Size: 455.17MiB | in_use: 0 | bin_num: 20, prev: Size: 750.00MiB | Requested Size: 750.00MiB | in_use: 1 | bin_num: -1
2023-12-15 11:57:46.379161: I tensorflow/core/common_runtime/bfc_allocator.cc:1046] Next region of size 2097152
2023-12-15 11:57:46.379567: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c800000 of size 1280 next 1
2023-12-15 11:57:46.379737: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c800500 of size 256 next 2
2023-12-15 11:57:46.379769: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c800600 of size 256 next 3
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2023-12-15 11:57:46.380139: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b0c801600 of size 1792 next 7
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2023-12-15 11:57:46.381525: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c805100 of size 256 next 108
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2023-12-15 11:57:46.381661: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c805500 of size 13312 next 11
2023-12-15 11:57:46.381689: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b0c808900 of size 147456 next 21
2023-12-15 11:57:46.381717: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82c900 of size 512 next 93
2023-12-15 11:57:46.381743: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82cb00 of size 256 next 94
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2023-12-15 11:57:46.381903: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82d100 of size 256 next 104
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2023-12-15 11:57:46.381957: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82d900 of size 256 next 41
2023-12-15 11:57:46.381983: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82da00 of size 512 next 15
2023-12-15 11:57:46.382011: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82dc00 of size 1024 next 86
2023-12-15 11:57:46.382037: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82e000 of size 256 next 113
2023-12-15 11:57:46.382064: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82e100 of size 256 next 115
2023-12-15 11:57:46.382110: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82e200 of size 256 next 116
2023-12-15 11:57:46.382143: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82e300 of size 256 next 131
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2023-12-15 11:57:46.382393: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82ec00 of size 768 next 127
2023-12-15 11:57:46.382420: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82ef00 of size 256 next 128
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2023-12-15 11:57:46.382473: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82f100 of size 256 next 133
2023-12-15 11:57:46.382500: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82f200 of size 256 next 134
2023-12-15 11:57:46.382526: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82f300 of size 256 next 139
2023-12-15 11:57:46.382553: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82f400 of size 256 next 140
2023-12-15 11:57:46.382588: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c82f500 of size 256 next 106
2023-12-15 11:57:46.382630: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b0c82f600 of size 8960 next 143
2023-12-15 11:57:46.382658: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c831900 of size 256 next 144
2023-12-15 11:57:46.382685: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b0c831a00 of size 3072 next 142
2023-12-15 11:57:46.382711: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c832600 of size 1536 next 174
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2023-12-15 11:57:46.382845: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b0c833500 of size 64512 next 58
2023-12-15 11:57:46.382873: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c843100 of size 18432 next 72
2023-12-15 11:57:46.382900: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c847900 of size 129024 next 75
2023-12-15 11:57:46.382927: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b0c867100 of size 36864 next 102
2023-12-15 11:57:46.382961: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0c870100 of size 36864 next 78
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2023-12-15 11:57:46.383017: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b0c882100 of size 1564416 next 18446744073709551615
2023-12-15 11:57:46.383055: I tensorflow/core/common_runtime/bfc_allocator.cc:1046] Next region of size 4194304
2023-12-15 11:57:46.383074: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b0ca00000 of size 294912 next 26
2023-12-15 11:57:46.383104: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0ca48000 of size 589824 next 25
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2023-12-15 11:57:46.383231: I tensorflow/core/common_runtime/bfc_allocator.cc:1046] Next region of size 8388608
2023-12-15 11:57:46.383249: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b0ce00000 of size 1032192 next 53
2023-12-15 11:57:46.383276: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0cefc000 of size 110592 next 100
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2023-12-15 11:57:46.383493: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0cf75100 of size 256 next 150
2023-12-15 11:57:46.383520: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0cf75200 of size 512 next 164
2023-12-15 11:57:46.383547: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0cf75400 of size 768 next 169
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2023-12-15 11:57:46.383654: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0cf76900 of size 43008 next 184
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2023-12-15 11:57:46.383714: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0cf8c000 of size 147456 next 82
2023-12-15 11:57:46.383742: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0cfb0000 of size 442368 next 56
2023-12-15 11:57:46.383769: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b0d01c000 of size 6176768 next 18446744073709551615
2023-12-15 11:57:46.383797: I tensorflow/core/common_runtime/bfc_allocator.cc:1046] Next region of size 16777216
2023-12-15 11:57:46.383818: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0d600000 of size 589824 next 91
2023-12-15 11:57:46.383847: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b0d690000 of size 82944 next 114
2023-12-15 11:57:46.383873: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0d6a4400 of size 1280 next 168
2023-12-15 11:57:46.383899: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b0d6a4900 of size 256 next 180
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2023-12-15 11:57:46.384342: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b0e020000 of size 6160384 next 18446744073709551615
2023-12-15 11:57:46.384369: I tensorflow/core/common_runtime/bfc_allocator.cc:1046] Next region of size 67108864
2023-12-15 11:57:46.384388: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b10600000 of size 5308416 next 145
2023-12-15 11:57:46.384420: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b10b10000 of size 2654208 next 173
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2023-12-15 11:57:46.384527: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b12970000 of size 29949952 next 18446744073709551615
2023-12-15 11:57:46.384554: I tensorflow/core/common_runtime/bfc_allocator.cc:1046] Next region of size 134217728
2023-12-15 11:57:46.384573: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b14600000 of size 10616832 next 172
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2023-12-15 11:57:46.384681: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b17390000 of size 12257280 next 170
2023-12-15 11:57:46.384707: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b17f40800 of size 74184704 next 18446744073709551615
2023-12-15 11:57:46.384734: I tensorflow/core/common_runtime/bfc_allocator.cc:1046] Next region of size 268435456
2023-12-15 11:57:46.384752: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at b1c600000 of size 268435456 next 18446744073709551615
2023-12-15 11:57:46.384780: I tensorflow/core/common_runtime/bfc_allocator.cc:1046] Next region of size 1237188608
2023-12-15 11:57:46.384798: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] InUse at b89800000 of size 786432000 next 57
2023-12-15 11:57:46.384824: I tensorflow/core/common_runtime/bfc_allocator.cc:1066] Free at bb8600000 of size 450756608 next 18446744073709551615
2023-12-15 11:57:46.384850: I tensorflow/core/common_runtime/bfc_allocator.cc:1071] Summary of in-use Chunks by size:
2023-12-15 11:57:46.384880: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 93 Chunks of size 256 totalling 23.2KiB
2023-12-15 11:57:46.384908: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 5 Chunks of size 512 totalling 2.5KiB
2023-12-15 11:57:46.384935: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 2 Chunks of size 768 totalling 1.5KiB
2023-12-15 11:57:46.384962: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 1024 totalling 1.0KiB
2023-12-15 11:57:46.384989: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 2 Chunks of size 1280 totalling 2.5KiB
2023-12-15 11:57:46.385017: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 5 Chunks of size 1536 totalling 7.5KiB
2023-12-15 11:57:46.385043: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 1792 totalling 1.8KiB
2023-12-15 11:57:46.385070: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 2816 totalling 2.8KiB
2023-12-15 11:57:46.385097: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 2 Chunks of size 3072 totalling 6.0KiB
2023-12-15 11:57:46.385151: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 13312 totalling 13.0KiB
2023-12-15 11:57:46.385188: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 18432 totalling 18.0KiB
2023-12-15 11:57:46.385220: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 2 Chunks of size 36864 totalling 72.0KiB
2023-12-15 11:57:46.385247: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 40704 totalling 39.8KiB
2023-12-15 11:57:46.385274: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 41472 totalling 40.5KiB
2023-12-15 11:57:46.385301: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 43008 totalling 42.0KiB
2023-12-15 11:57:46.385328: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 84480 totalling 82.5KiB
2023-12-15 11:57:46.385355: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 110592 totalling 108.0KiB
2023-12-15 11:57:46.385382: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 129024 totalling 126.0KiB
2023-12-15 11:57:46.385410: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 2 Chunks of size 147456 totalling 288.0KiB
2023-12-15 11:57:46.385437: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 168960 totalling 165.0KiB
2023-12-15 11:57:46.385464: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 294912 totalling 288.0KiB
2023-12-15 11:57:46.385490: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 442368 totalling 432.0KiB
2023-12-15 11:57:46.385518: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 494592 totalling 483.0KiB
2023-12-15 11:57:46.385545: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 2 Chunks of size 589824 totalling 1.12MiB
2023-12-15 11:57:46.385571: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 663552 totalling 648.0KiB
2023-12-15 11:57:46.385598: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 1179648 totalling 1.12MiB
2023-12-15 11:57:46.385640: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 2101248 totalling 2.00MiB
2023-12-15 11:57:46.385669: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 2129920 totalling 2.03MiB
2023-12-15 11:57:46.385713: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 2359296 totalling 2.25MiB
2023-12-15 11:57:46.385739: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 2654208 totalling 2.53MiB
2023-12-15 11:57:46.385767: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 2 Chunks of size 5308416 totalling 10.12MiB
2023-12-15 11:57:46.385794: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 10616832 totalling 10.12MiB
2023-12-15 11:57:46.385821: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 12257280 totalling 11.69MiB
2023-12-15 11:57:46.385855: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 15925248 totalling 15.19MiB
2023-12-15 11:57:46.385882: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 21233664 totalling 20.25MiB
2023-12-15 11:57:46.385910: I tensorflow/core/common_runtime/bfc_allocator.cc:1074] 1 Chunks of size 786432000 totalling 750.00MiB
2023-12-15 11:57:46.385936: I tensorflow/core/common_runtime/bfc_allocator.cc:1078] Sum Total of in-use chunks: 831.27MiB
2023-12-15 11:57:46.385964: I tensorflow/core/common_runtime/bfc_allocator.cc:1080] total_region_allocated_bytes_: 1738407936 memory_limit_: 1738407936 available bytes: 0 curr_region_allocation_bytes_: 4294967296
2023-12-15 11:57:46.385997: I tensorflow/core/common_runtime/bfc_allocator.cc:1086] Stats:
Limit: 1738407936
InUse: 871649792
MaxInUse: 1090313728
NumAllocs: 963
MaxAllocSize: 786432000
Reserved: 0
PeakReserved: 0
LargestFreeBlock: 0
2023-12-15 11:57:46.386095: W tensorflow/core/common_runtime/bfc_allocator.cc:474] ********************************************************________
2023-12-15 11:57:46.386281: W tensorflow/core/framework/op_kernel.cc:1745] OP_REQUIRES failed at conv_ops_fused_impl.h:663 : RESOURCE_EXHAUSTED: OOM when allocating tensor with shape[20,24,640,640] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
Versions:
Traceback (most recent call last):
File "C:\Users\Ben07\mambaforge\New_folder\envs\sleap\Scripts\sleap-track-script.py", line 33, in
sys.exit(load_entry_point('sleap==1.3.3', 'console_scripts', 'sleap-track')())
File "C:\Users\Ben07\mambaforge\New_folder\envs\sleap\lib\site-packages\sleap\nn\inference.py", line 5424, in main
labels_pr = predictor.predict(provider)
File "C:\Users\Ben07\mambaforge\New_folder\envs\sleap\lib\site-packages\sleap\nn\inference.py", line 526, in predict
self._make_labeled_frames_from_generator(generator, data)
File "C:\Users\Ben07\mambaforge\New_folder\envs\sleap\lib\site-packages\sleap\nn\inference.py", line 2633, in _make_labeled_frames_from_generator
for ex in generator:
File "C:\Users\Ben07\mambaforge\New_folder\envs\sleap\lib\site-packages\sleap\nn\inference.py", line 457, in _predict_generator
ex = process_batch(ex)
File "C:\Users\Ben07\mambaforge\New_folder\envs\sleap\lib\site-packages\sleap\nn\inference.py", line 399, in process_batch
preds = self.inference_model.predict_on_batch(ex, numpy=True)
File "C:\Users\Ben07\mambaforge\New_folder\envs\sleap\lib\site-packages\sleap\nn\inference.py", line 1069, in predict_on_batch
outs = super().predict_on_batch(data, **kwargs)
File "C:\Users\Ben07\mambaforge\New_folder\envs\sleap\lib\site-packages\keras\engine\training.py", line 1986, in predict_on_batch
outputs = self.predict_function(iterator)
File "C:\Users\Ben07\mambaforge\New_folder\envs\sleap\lib\site-packages\tensorflow\python\util\traceback_utils.py", line 153, in error_handler
raise e.with_traceback(filtered_tb) from None
File "C:\Users\Ben07\mambaforge\New_folder\envs\sleap\lib\site-packages\tensorflow\python\eager\execute.py", line 59, in quick_execute
inputs, attrs, num_outputs)
tensorflow.python.framework.errors_impl.ResourceExhaustedError: 2 root error(s) found.
(0) RESOURCE_EXHAUSTED: OOM when allocating tensor with shape[20,24,640,640] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node top_down_inference_model/find_instance_peaks/model/stack0_enc0_act1_relu/Relu
(defined at C:\Users\Ben07\mambaforge\New_folder\envs\sleap\lib\site-packages\keras\backend.py:4867)
]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.
(1) RESOURCE_EXHAUSTED: OOM when allocating tensor with shape[20,24,640,640] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node top_down_inference_model/find_instance_peaks/model/stack0_enc0_act1_relu/Relu
(defined at C:\Users\Ben07\mambaforge\New_folder\envs\sleap\lib\site-packages\keras\backend.py:4867)
]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.
0 successful operations.
0 derived errors ignored. [Op:__inference_predict_function_4598]
Errors may have originated from an input operation.
Input Source operations connected to node top_down_inference_model/find_instance_peaks/model/stack0_enc0_act1_relu/Relu:
In[0] top_down_inference_model/find_instance_peaks/model/stack0_enc0_conv1/BiasAdd (defined at C:\Users\Ben07\mambaforge\New_folder\envs\sleap\lib\site-packages\keras\layers\convolutional.py:265)
Operation defined at: (most recent call last)
Input Source operations connected to node top_down_inference_model/find_instance_peaks/model/stack0_enc0_act1_relu/Relu:
In[0] top_down_inference_model/find_instance_peaks/model/stack0_enc0_conv1/BiasAdd (defined at C:\Users\Ben07\mambaforge\New_folder\envs\sleap\lib\site-packages\keras\layers\convolutional.py:265)
Operation defined at: (most recent call last)
Function call stack:
predict_function -> predict_function
SLEAP: 1.3.3
TensorFlow: 2.7.0
Numpy: 1.21.6
Python: 3.7.12
OS: Windows-10-10.0.22621-SP0
System:
GPUs: 1/1 available
Device: /physical_device:GPU:0
Available: True
Initalized: False
Memory growth: True
Process return code: 1
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