Lmod Warning:
-------------------------------------------------------------------------------
The following dependent module(s) are not currently loaded: curl/8.4.0
(required by: htslib/1.16)
-------------------------------------------------------------------------------




The following have been reloaded with a version change:
  1) curl/8.4.0 => curl/8.17.0     2) openssl/3.0.7 => openssl/3.6.0

2026-01-05 00:02:46.215234: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-01-05 00:05:07.727652: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-01-05 00:05:08.043640: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-01-05 00:05:08.240271: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:c0:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.14GiB deviceMemoryBandwidth: 1.85TiB/s
2026-01-05 00:05:08.240429: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-01-05 00:05:08.407840: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-01-05 00:05:08.407954: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-01-05 00:05:08.430957: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-01-05 00:05:08.882931: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-01-05 00:05:09.426659: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-01-05 00:05:09.756578: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-01-05 00:05:09.785024: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-01-05 00:05:09.790258: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-01-05 00:05:09.790956: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2026-01-05 00:05:09.793777: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-01-05 00:05:09.797562: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:c0:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.14GiB deviceMemoryBandwidth: 1.85TiB/s
2026-01-05 00:05:09.797611: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-01-05 00:05:09.797640: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-01-05 00:05:09.797661: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-01-05 00:05:09.797682: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-01-05 00:05:09.797702: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-01-05 00:05:09.797721: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-01-05 00:05:09.797740: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-01-05 00:05:09.797778: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-01-05 00:05:09.802668: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-01-05 00:05:09.802709: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-01-05 00:05:12.343186: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-01-05 00:05:12.343294: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-01-05 00:05:12.343308: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-01-05 00:05:12.348422: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75642 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c0:00.0, compute capability: 8.0)
2026-01-05 00:05:23.362615: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2026-01-05 00:05:23.363277: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2450000000 Hz
2026-01-05 00:05:24.669886: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-01-05 00:05:26.276986: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-01-05 00:05:26.282291: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-01-05 00:05:41.279878: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-01-05 00:05:41.426910: W tensorflow/stream_executor/gpu/redzone_allocator.cc:314] Internal: ptxas exited with non-zero error code 256, output: 
Relying on driver to perform ptx compilation. 
Modify $PATH to customize ptxas location.
This message will be only logged once.
2026-01-05 00:06:11.539032: I tensorflow/stream_executor/cuda/cuda_blas.cc:1838] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once.
/home/users/shouvikm/miniconda3/envs/bpnet/lib/python3.7/site-packages/tensorflow/python/keras/engine/functional.py:595: UserWarning: Input dict contained keys ['coordinates', 'jitters', 'index', 'status', 'rev_comp'] which did not match any model input. They will be ignored by the model.
  [n for n in tensors.keys() if n not in ref_input_names])
/home/users/shouvikm/miniconda3/envs/bpnet/lib/python3.7/site-packages/tensorflow/python/keras/engine/functional.py:595: UserWarning: Input dict contained keys ['coordinates'] which did not match any model input. They will be ignored by the model.
  [n for n in tensors.keys() if n not in ref_input_names])
2026-01-05 00:13:48.480140: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them.
2026-01-05 00:13:53.634700: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-01-05 00:14:07.696682: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-01-05 00:14:07.703160: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-01-05 00:14:07.873667: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:c0:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.14GiB deviceMemoryBandwidth: 1.85TiB/s
2026-01-05 00:14:07.873765: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-01-05 00:14:07.879087: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-01-05 00:14:07.879151: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-01-05 00:14:07.882405: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-01-05 00:14:07.884587: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-01-05 00:14:07.889302: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-01-05 00:14:07.891545: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-01-05 00:14:07.893448: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-01-05 00:14:07.899645: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-01-05 00:14:07.900091: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2026-01-05 00:14:07.902526: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-01-05 00:14:07.906597: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:c0:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.14GiB deviceMemoryBandwidth: 1.85TiB/s
2026-01-05 00:14:07.906647: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-01-05 00:14:07.906679: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-01-05 00:14:07.906706: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-01-05 00:14:07.906730: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-01-05 00:14:07.906754: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-01-05 00:14:07.906777: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-01-05 00:14:07.906799: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-01-05 00:14:07.906822: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-01-05 00:14:07.911607: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-01-05 00:14:07.911650: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-01-05 00:14:08.363110: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-01-05 00:14:08.363270: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-01-05 00:14:08.363284: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-01-05 00:14:08.367360: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75642 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c0:00.0, compute capability: 8.0)
/home/users/shouvikm/miniconda3/envs/bpnet/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: bpnet.model.arch is not loaded, but a Lambda layer uses it. It may cause errors.
  , UserWarning)

batch:   0%|          | 0/128 [00:00<?, ?it/s]2026-01-05 00:14:10.157190: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2026-01-05 00:14:10.157680: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2450000000 Hz
2026-01-05 00:14:10.380261: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-01-05 00:14:10.828321: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-01-05 00:14:10.830257: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-01-05 00:14:12.258311: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-01-05 00:14:12.367768: W tensorflow/stream_executor/gpu/redzone_allocator.cc:314] Internal: ptxas exited with non-zero error code 256, output: 
Relying on driver to perform ptx compilation. 
Modify $PATH to customize ptxas location.
This message will be only logged once.
/home/users/shouvikm/miniconda3/envs/bpnet/lib/python3.7/site-packages/tensorflow/python/keras/engine/functional.py:595: UserWarning: Input dict contained keys ['coordinates', 'true_profiles', 'true_logcounts', 'rev_comp'] which did not match any model input. They will be ignored by the model.
  [n for n in tensors.keys() if n not in ref_input_names])

batch:   1%|          | 1/128 [00:31<1:07:01, 31.66s/it]
batch:   2%|▏         | 2/128 [00:31<27:43, 13.20s/it]  
batch:   2%|▏         | 3/128 [00:32<15:12,  7.30s/it]
batch:   3%|▎         | 4/128 [00:32<09:21,  4.53s/it]
batch:   4%|▍         | 5/128 [00:32<06:08,  2.99s/it]
batch:   5%|▍         | 6/128 [00:33<04:12,  2.07s/it]
batch:   5%|▌         | 7/128 [00:33<02:59,  1.48s/it]
batch:   6%|▋         | 8/128 [00:33<02:11,  1.10s/it]
batch:   7%|▋         | 9/128 [00:33<01:40,  1.19it/s]
batch:   8%|▊         | 10/128 [00:34<01:18,  1.50it/s]
batch:   9%|▊         | 11/128 [00:34<01:03,  1.83it/s]
batch:   9%|▉         | 12/128 [00:34<00:53,  2.16it/s]
batch:  10%|█         | 13/128 [00:34<00:46,  2.46it/s]
batch:  11%|█         | 14/128 [00:35<00:41,  2.73it/s]
batch:  12%|█▏        | 15/128 [00:35<00:38,  2.96it/s]
batch:  12%|█▎        | 16/128 [00:35<00:35,  3.15it/s]
batch:  13%|█▎        | 17/128 [00:36<00:33,  3.28it/s]
batch:  14%|█▍        | 18/128 [00:36<00:32,  3.38it/s]
batch:  15%|█▍        | 19/128 [00:36<00:31,  3.46it/s]
batch:  16%|█▌        | 20/128 [00:36<00:30,  3.51it/s]
batch:  16%|█▋        | 21/128 [00:37<00:30,  3.54it/s]
batch:  17%|█▋        | 22/128 [00:37<00:29,  3.57it/s]
batch:  18%|█▊        | 23/128 [00:37<00:29,  3.61it/s]
batch:  19%|█▉        | 24/128 [00:37<00:28,  3.64it/s]
batch:  20%|█▉        | 25/128 [00:38<00:28,  3.64it/s]
batch:  20%|██        | 26/128 [00:38<00:27,  3.64it/s]
batch:  21%|██        | 27/128 [00:38<00:27,  3.65it/s]
batch:  22%|██▏       | 28/128 [00:39<00:27,  3.66it/s]
batch:  23%|██▎       | 29/128 [00:39<00:27,  3.63it/s]
batch:  23%|██▎       | 30/128 [00:39<00:26,  3.65it/s]
batch:  24%|██▍       | 31/128 [00:39<00:26,  3.64it/s]
batch:  25%|██▌       | 32/128 [00:40<00:26,  3.60it/s]
batch:  26%|██▌       | 33/128 [00:40<00:26,  3.61it/s]
batch:  27%|██▋       | 34/128 [00:40<00:25,  3.63it/s]
batch:  27%|██▋       | 35/128 [00:41<00:25,  3.63it/s]
batch:  28%|██▊       | 36/128 [00:41<00:25,  3.64it/s]
batch:  29%|██▉       | 37/128 [00:41<00:24,  3.65it/s]
batch:  30%|██▉       | 38/128 [00:41<00:24,  3.65it/s]
batch:  30%|███       | 39/128 [00:42<00:24,  3.65it/s]
batch:  31%|███▏      | 40/128 [00:42<00:24,  3.66it/s]
batch:  32%|███▏      | 41/128 [00:42<00:23,  3.66it/s]
batch:  33%|███▎      | 42/128 [00:42<00:23,  3.66it/s]
batch:  34%|███▎      | 43/128 [00:43<00:23,  3.65it/s]
batch:  34%|███▍      | 44/128 [00:43<00:23,  3.64it/s]
batch:  35%|███▌      | 45/128 [00:43<00:22,  3.64it/s]
batch:  36%|███▌      | 46/128 [00:44<00:22,  3.65it/s]
batch:  37%|███▋      | 47/128 [00:44<00:22,  3.66it/s]
batch:  38%|███▊      | 48/128 [00:44<00:21,  3.66it/s]
batch:  38%|███▊      | 49/128 [00:44<00:21,  3.67it/s]
batch:  39%|███▉      | 50/128 [00:45<00:21,  3.67it/s]
batch:  40%|███▉      | 51/128 [00:45<00:20,  3.67it/s]
batch:  41%|████      | 52/128 [00:45<00:20,  3.68it/s]
batch:  41%|████▏     | 53/128 [00:45<00:20,  3.69it/s]
batch:  42%|████▏     | 54/128 [00:46<00:20,  3.69it/s]
batch:  43%|████▎     | 55/128 [00:46<00:19,  3.69it/s]
batch:  44%|████▍     | 56/128 [00:46<00:19,  3.69it/s]
batch:  45%|████▍     | 57/128 [00:46<00:19,  3.70it/s]
batch:  45%|████▌     | 58/128 [00:47<00:18,  3.70it/s]
batch:  46%|████▌     | 59/128 [00:47<00:18,  3.70it/s]
batch:  47%|████▋     | 60/128 [00:47<00:18,  3.68it/s]
batch:  48%|████▊     | 61/128 [00:48<00:18,  3.70it/s]
batch:  48%|████▊     | 62/128 [00:48<00:17,  3.71it/s]
batch:  49%|████▉     | 63/128 [00:48<00:17,  3.70it/s]
batch:  50%|█████     | 64/128 [00:48<00:17,  3.69it/s]
batch:  51%|█████     | 65/128 [00:49<00:17,  3.69it/s]
batch:  52%|█████▏    | 66/128 [00:49<00:18,  3.29it/s]
batch:  52%|█████▏    | 67/128 [00:49<00:18,  3.39it/s]
batch:  53%|█████▎    | 68/128 [00:50<00:17,  3.42it/s]
batch:  54%|█████▍    | 69/128 [00:50<00:18,  3.20it/s]
batch:  55%|█████▍    | 70/128 [00:50<00:17,  3.33it/s]
batch:  55%|█████▌    | 71/128 [00:51<00:16,  3.43it/s]
batch:  56%|█████▋    | 72/128 [00:51<00:15,  3.51it/s]
batch:  57%|█████▋    | 73/128 [00:51<00:15,  3.56it/s]
batch:  58%|█████▊    | 74/128 [00:51<00:14,  3.60it/s]
batch:  59%|█████▊    | 75/128 [00:52<00:14,  3.63it/s]
batch:  59%|█████▉    | 76/128 [00:52<00:14,  3.65it/s]
batch:  60%|██████    | 77/128 [00:52<00:13,  3.67it/s]
batch:  61%|██████    | 78/128 [00:52<00:13,  3.68it/s]
batch:  62%|██████▏   | 79/128 [00:53<00:13,  3.67it/s]
batch:  62%|██████▎   | 80/128 [00:53<00:13,  3.68it/s]
batch:  63%|██████▎   | 81/128 [00:53<00:12,  3.67it/s]
batch:  64%|██████▍   | 82/128 [00:53<00:12,  3.68it/s]
batch:  65%|██████▍   | 83/128 [00:54<00:12,  3.64it/s]
batch:  66%|██████▌   | 84/128 [00:54<00:12,  3.66it/s]
batch:  66%|██████▋   | 85/128 [00:54<00:11,  3.67it/s]
batch:  67%|██████▋   | 86/128 [00:55<00:11,  3.68it/s]
batch:  68%|██████▊   | 87/128 [00:55<00:11,  3.68it/s]
batch:  69%|██████▉   | 88/128 [00:55<00:10,  3.67it/s]
batch:  70%|██████▉   | 89/128 [00:55<00:10,  3.68it/s]
batch:  70%|███████   | 90/128 [00:56<00:10,  3.68it/s]
batch:  71%|███████   | 91/128 [00:56<00:10,  3.67it/s]
batch:  72%|███████▏  | 92/128 [00:56<00:09,  3.67it/s]
batch:  73%|███████▎  | 93/128 [00:56<00:09,  3.66it/s]
batch:  73%|███████▎  | 94/128 [00:57<00:09,  3.67it/s]
batch:  74%|███████▍  | 95/128 [00:57<00:08,  3.68it/s]
batch:  75%|███████▌  | 96/128 [00:57<00:08,  3.69it/s]
batch:  76%|███████▌  | 97/128 [00:58<00:08,  3.67it/s]
batch:  77%|███████▋  | 98/128 [00:58<00:08,  3.65it/s]
batch:  77%|███████▋  | 99/128 [00:58<00:07,  3.64it/s]
batch:  78%|███████▊  | 100/128 [00:58<00:07,  3.65it/s]
batch:  79%|███████▉  | 101/128 [00:59<00:07,  3.65it/s]
batch:  80%|███████▉  | 102/128 [00:59<00:07,  3.66it/s]
batch:  80%|████████  | 103/128 [00:59<00:06,  3.66it/s]
batch:  81%|████████▏ | 104/128 [00:59<00:06,  3.67it/s]
batch:  82%|████████▏ | 105/128 [01:00<00:06,  3.65it/s]
batch:  83%|████████▎ | 106/128 [01:00<00:06,  3.65it/s]
batch:  84%|████████▎ | 107/128 [01:00<00:05,  3.64it/s]
batch:  84%|████████▍ | 108/128 [01:01<00:05,  3.65it/s]
batch:  85%|████████▌ | 109/128 [01:01<00:05,  3.67it/s]
batch:  86%|████████▌ | 110/128 [01:01<00:04,  3.67it/s]
batch:  87%|████████▋ | 111/128 [01:01<00:04,  3.68it/s]
batch:  88%|████████▊ | 112/128 [01:02<00:04,  3.68it/s]
batch:  88%|████████▊ | 113/128 [01:02<00:04,  3.69it/s]
batch:  89%|████████▉ | 114/128 [01:02<00:03,  3.70it/s]
batch:  90%|████████▉ | 115/128 [01:02<00:03,  3.67it/s]
batch:  91%|█████████ | 116/128 [01:03<00:03,  3.66it/s]
batch:  91%|█████████▏| 117/128 [01:03<00:03,  3.66it/s]
batch:  92%|█████████▏| 118/128 [01:03<00:02,  3.66it/s]
batch:  93%|█████████▎| 119/128 [01:04<00:02,  3.67it/s]
batch:  94%|█████████▍| 120/128 [01:04<00:02,  3.66it/s]
batch:  95%|█████████▍| 121/128 [01:04<00:01,  3.64it/s]
batch:  95%|█████████▌| 122/128 [01:04<00:01,  3.66it/s]
batch:  96%|█████████▌| 123/128 [01:05<00:01,  3.69it/s]
batch:  97%|█████████▋| 124/128 [01:05<00:01,  3.69it/s]
batch:  98%|█████████▊| 125/128 [01:05<00:00,  3.70it/s]
batch:  98%|█████████▊| 126/128 [01:05<00:00,  3.70it/s]
batch:  99%|█████████▉| 127/128 [01:06<00:00,  3.69it/s]
batch: 100%|██████████| 128/128 [01:06<00:00,  4.21it/s]
batch: 100%|██████████| 128/128 [01:06<00:00,  1.93it/s]

  0%|          | 0/8160 [00:00<?, ?it/s]
  1%|▏         | 113/8160 [00:00<00:07, 1113.38it/s]
  3%|▎         | 225/8160 [00:00<00:07, 1109.03it/s]
  4%|▍         | 338/8160 [00:00<00:07, 1116.24it/s]
  6%|▌         | 452/8160 [00:00<00:06, 1124.40it/s]
  7%|▋         | 565/8160 [00:00<00:06, 1116.25it/s]
  8%|▊         | 678/8160 [00:00<00:06, 1117.98it/s]
 10%|▉         | 790/8160 [00:00<00:06, 1102.84it/s]
 11%|█         | 904/8160 [00:00<00:06, 1110.32it/s]
 12%|█▏        | 1017/8160 [00:00<00:06, 1113.32it/s]
 14%|█▍        | 1129/8160 [00:01<00:06, 1113.00it/s]
 15%|█▌        | 1241/8160 [00:01<00:06, 1101.32it/s]
 17%|█▋        | 1352/8160 [00:01<00:06, 1101.52it/s]
 18%|█▊        | 1463/8160 [00:01<00:06, 1065.63it/s]
 19%|█▉        | 1570/8160 [00:01<00:06, 1037.56it/s]
 21%|██        | 1675/8160 [00:01<00:06, 1022.24it/s]
 22%|██▏       | 1786/8160 [00:01<00:06, 1046.80it/s]
 23%|██▎       | 1896/8160 [00:01<00:05, 1057.54it/s]
 25%|██▍       | 2009/8160 [00:01<00:05, 1072.84it/s]
 26%|██▌       | 2120/8160 [00:01<00:05, 1083.50it/s]
 27%|██▋       | 2231/8160 [00:02<00:05, 1085.62it/s]
 29%|██▊       | 2341/8160 [00:02<00:05, 1085.92it/s]
 30%|███       | 2451/8160 [00:02<00:05, 1084.47it/s]
 31%|███▏      | 2560/8160 [00:02<00:05, 1082.94it/s]
 33%|███▎      | 2670/8160 [00:02<00:05, 1084.82it/s]
 34%|███▍      | 2779/8160 [00:02<00:05, 1053.83it/s]
 35%|███▌      | 2885/8160 [00:02<00:05, 1018.69it/s]
 37%|███▋      | 2988/8160 [00:02<00:05, 995.69it/s] 
 38%|███▊      | 3096/8160 [00:02<00:04, 1015.02it/s]
 39%|███▉      | 3204/8160 [00:02<00:04, 1033.24it/s]
 41%|████      | 3313/8160 [00:03<00:04, 1044.37it/s]
 42%|████▏     | 3420/8160 [00:03<00:04, 1051.65it/s]
 43%|████▎     | 3529/8160 [00:03<00:04, 1062.39it/s]
 45%|████▍     | 3636/8160 [00:03<00:04, 1060.96it/s]
 46%|████▌     | 3744/8160 [00:03<00:04, 1065.83it/s]
 47%|████▋     | 3851/8160 [00:03<00:04, 1063.79it/s]
 49%|████▊     | 3959/8160 [00:03<00:03, 1062.93it/s]
 50%|████▉     | 4066/8160 [00:03<00:03, 1061.47it/s]
 51%|█████     | 4173/8160 [00:03<00:03, 1062.07it/s]
 52%|█████▏    | 4280/8160 [00:04<00:03, 1057.95it/s]
 54%|█████▍    | 4386/8160 [00:04<00:03, 1056.23it/s]
 55%|█████▌    | 4493/8160 [00:04<00:03, 1058.93it/s]
 56%|█████▋    | 4600/8160 [00:04<00:03, 1059.34it/s]
 58%|█████▊    | 4708/8160 [00:04<00:03, 1061.73it/s]
 59%|█████▉    | 4815/8160 [00:04<00:03, 1061.39it/s]
 60%|██████    | 4923/8160 [00:04<00:03, 1062.21it/s]
 62%|██████▏   | 5030/8160 [00:04<00:02, 1060.13it/s]
 63%|██████▎   | 5137/8160 [00:04<00:02, 1053.51it/s]
 64%|██████▍   | 5243/8160 [00:04<00:02, 1052.74it/s]
 66%|██████▌   | 5349/8160 [00:05<00:02, 1045.77it/s]
 67%|██████▋   | 5454/8160 [00:05<00:02, 1039.56it/s]
 68%|██████▊   | 5560/8160 [00:05<00:02, 1039.66it/s]
 69%|██████▉   | 5664/8160 [00:05<00:02, 1038.68it/s]
 71%|███████   | 5768/8160 [00:05<00:02, 1038.40it/s]
 72%|███████▏  | 5873/8160 [00:05<00:02, 1041.01it/s]
 73%|███████▎  | 5978/8160 [00:05<00:02, 1038.84it/s]
 75%|███████▍  | 6082/8160 [00:05<00:02, 1037.02it/s]
 76%|███████▌  | 6186/8160 [00:05<00:01, 1036.28it/s]
 77%|███████▋  | 6291/8160 [00:05<00:01, 1034.65it/s]
 78%|███████▊  | 6395/8160 [00:06<00:01, 1034.35it/s]
 80%|███████▉  | 6499/8160 [00:06<00:01, 1031.47it/s]
 81%|████████  | 6603/8160 [00:06<00:01, 1030.53it/s]
 82%|████████▏ | 6707/8160 [00:06<00:01, 1028.14it/s]
 83%|████████▎ | 6812/8160 [00:06<00:01, 1029.37it/s]
 85%|████████▍ | 6916/8160 [00:06<00:01, 1027.00it/s]
 86%|████████▌ | 7019/8160 [00:06<00:01, 1026.71it/s]
 87%|████████▋ | 7122/8160 [00:06<00:01, 1019.74it/s]
 89%|████████▊ | 7224/8160 [00:06<00:00, 1018.69it/s]
 90%|████████▉ | 7326/8160 [00:06<00:00, 1018.64it/s]
 91%|█████████ | 7428/8160 [00:07<00:00, 1013.58it/s]
 92%|█████████▏| 7530/8160 [00:07<00:00, 1014.47it/s]
 94%|█████████▎| 7632/8160 [00:07<00:00, 1015.87it/s]
 95%|█████████▍| 7734/8160 [00:07<00:00, 1015.91it/s]
 96%|█████████▌| 7836/8160 [00:07<00:00, 1015.29it/s]
 97%|█████████▋| 7938/8160 [00:07<00:00, 1009.77it/s]
 99%|█████████▊| 8041/8160 [00:07<00:00, 1012.63it/s]
100%|█████████▉| 8143/8160 [00:07<00:00, 1007.35it/s]
100%|██████████| 8160/8160 [00:07<00:00, 1051.10it/s]

  0%|          | 0/8160 [00:00<?, ?it/s]
  1%|▏         | 113/8160 [00:00<00:07, 1114.17it/s]
  3%|▎         | 225/8160 [00:00<00:07, 1114.47it/s]
  4%|▍         | 338/8160 [00:00<00:06, 1118.43it/s]
  6%|▌         | 451/8160 [00:00<00:06, 1121.28it/s]
  7%|▋         | 564/8160 [00:00<00:06, 1120.07it/s]
  8%|▊         | 677/8160 [00:00<00:06, 1118.95it/s]
 10%|▉         | 789/8160 [00:00<00:06, 1117.77it/s]
 11%|█         | 902/8160 [00:00<00:06, 1117.05it/s]
 12%|█▏        | 1014/8160 [00:00<00:06, 1114.57it/s]
 14%|█▍        | 1126/8160 [00:01<00:06, 1108.77it/s]
 15%|█▌        | 1237/8160 [00:01<00:06, 1108.00it/s]
 17%|█▋        | 1349/8160 [00:01<00:06, 1106.64it/s]
 18%|█▊        | 1461/8160 [00:01<00:06, 1110.09it/s]
 19%|█▉        | 1573/8160 [00:01<00:05, 1108.25it/s]
 21%|██        | 1685/8160 [00:01<00:05, 1109.23it/s]
 22%|██▏       | 1796/8160 [00:01<00:05, 1108.92it/s]
 23%|██▎       | 1907/8160 [00:01<00:05, 1103.37it/s]
 25%|██▍       | 2020/8160 [00:01<00:05, 1105.20it/s]
 26%|██▌       | 2131/8160 [00:01<00:05, 1106.29it/s]
 27%|██▋       | 2242/8160 [00:02<00:05, 1107.34it/s]
 29%|██▉       | 2353/8160 [00:02<00:05, 1100.83it/s]
 30%|███       | 2464/8160 [00:02<00:05, 1097.49it/s]
 32%|███▏      | 2574/8160 [00:02<00:05, 1089.09it/s]
 33%|███▎      | 2684/8160 [00:02<00:05, 1087.90it/s]
 34%|███▍      | 2794/8160 [00:02<00:04, 1085.57it/s]
 36%|███▌      | 2903/8160 [00:02<00:04, 1082.29it/s]
 37%|███▋      | 3013/8160 [00:02<00:04, 1083.11it/s]
 38%|███▊      | 3122/8160 [00:02<00:04, 1081.32it/s]
 40%|███▉      | 3231/8160 [00:02<00:04, 1072.40it/s]
 41%|████      | 3340/8160 [00:03<00:04, 1072.74it/s]
 42%|████▏     | 3448/8160 [00:03<00:04, 1074.58it/s]
 44%|████▎     | 3556/8160 [00:03<00:04, 1070.05it/s]
 45%|████▍     | 3664/8160 [00:03<00:04, 1066.47it/s]
 46%|████▌     | 3771/8160 [00:03<00:04, 1067.22it/s]
 48%|████▊     | 3878/8160 [00:03<00:04, 1062.15it/s]
 49%|████▉     | 3986/8160 [00:03<00:03, 1063.97it/s]
 50%|█████     | 4093/8160 [00:03<00:03, 1059.55it/s]
 51%|█████▏    | 4199/8160 [00:03<00:03, 1045.26it/s]
 53%|█████▎    | 4306/8160 [00:03<00:03, 1047.25it/s]
 54%|█████▍    | 4413/8160 [00:04<00:03, 1050.44it/s]
 55%|█████▌    | 4521/8160 [00:04<00:03, 1056.41it/s]
 57%|█████▋    | 4628/8160 [00:04<00:03, 1056.82it/s]
 58%|█████▊    | 4735/8160 [00:04<00:03, 1058.53it/s]
 59%|█████▉    | 4842/8160 [00:04<00:03, 1057.06it/s]
 61%|██████    | 4950/8160 [00:04<00:03, 1059.43it/s]
 62%|██████▏   | 5057/8160 [00:04<00:02, 1057.19it/s]
 63%|██████▎   | 5163/8160 [00:04<00:02, 1054.21it/s]
 65%|██████▍   | 5269/8160 [00:04<00:02, 1043.85it/s]
 66%|██████▌   | 5374/8160 [00:04<00:02, 1043.17it/s]
 67%|██████▋   | 5479/8160 [00:05<00:02, 1037.24it/s]
 68%|██████▊   | 5584/8160 [00:05<00:02, 1037.00it/s]
 70%|██████▉   | 5688/8160 [00:05<00:02, 1037.28it/s]
 71%|███████   | 5792/8160 [00:05<00:02, 1036.82it/s]
 72%|███████▏  | 5896/8160 [00:05<00:02, 1037.70it/s]
 74%|███████▎  | 6001/8160 [00:05<00:02, 1037.55it/s]
 75%|███████▍  | 6106/8160 [00:05<00:01, 1038.37it/s]
 76%|███████▌  | 6211/8160 [00:05<00:01, 1039.11it/s]
 77%|███████▋  | 6315/8160 [00:05<00:01, 1035.77it/s]
 79%|███████▊  | 6420/8160 [00:05<00:01, 1037.25it/s]
 80%|███████▉  | 6524/8160 [00:06<00:01, 1033.08it/s]
 81%|████████  | 6628/8160 [00:06<00:01, 1031.51it/s]
 82%|████████▎ | 6732/8160 [00:06<00:01, 1028.96it/s]
 84%|████████▍ | 6837/8160 [00:06<00:01, 1030.59it/s]
 85%|████████▌ | 6941/8160 [00:06<00:01, 1028.54it/s]
 86%|████████▋ | 7044/8160 [00:06<00:01, 1025.36it/s]
 88%|████████▊ | 7147/8160 [00:06<00:00, 1016.52it/s]
 89%|████████▉ | 7249/8160 [00:06<00:00, 1017.06it/s]
 90%|█████████ | 7351/8160 [00:06<00:00, 1017.34it/s]
 91%|█████████▏| 7453/8160 [00:06<00:00, 1012.23it/s]
 93%|█████████▎| 7555/8160 [00:07<00:00, 1013.67it/s]
 94%|█████████▍| 7657/8160 [00:07<00:00, 1015.09it/s]
 95%|█████████▌| 7759/8160 [00:07<00:00, 1014.65it/s]
 96%|█████████▋| 7861/8160 [00:07<00:00, 1009.19it/s]
 98%|█████████▊| 7963/8160 [00:07<00:00, 1010.30it/s]
 99%|█████████▉| 8065/8160 [00:07<00:00, 1010.99it/s]
100%|██████████| 8160/8160 [00:07<00:00, 1061.07it/s]
2026-01-05 00:15:49.105243: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-01-05 00:15:56.346477: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-01-05 00:15:56.347895: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-01-05 00:15:56.511247: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:c0:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.14GiB deviceMemoryBandwidth: 1.85TiB/s
2026-01-05 00:15:56.511367: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-01-05 00:15:56.516123: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-01-05 00:15:56.516197: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-01-05 00:15:56.518809: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-01-05 00:15:56.520319: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-01-05 00:15:56.524441: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-01-05 00:15:56.526460: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-01-05 00:15:56.527864: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-01-05 00:15:56.534981: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-01-05 00:15:56.535590: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2026-01-05 00:15:56.538156: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-01-05 00:15:56.542043: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:c0:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.14GiB deviceMemoryBandwidth: 1.85TiB/s
2026-01-05 00:15:56.542083: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-01-05 00:15:56.542107: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-01-05 00:15:56.542127: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-01-05 00:15:56.542145: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-01-05 00:15:56.542172: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-01-05 00:15:56.542193: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-01-05 00:15:56.542211: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-01-05 00:15:56.542229: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-01-05 00:15:56.546964: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-01-05 00:15:56.547006: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-01-05 00:15:56.991281: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-01-05 00:15:56.991393: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-01-05 00:15:56.991423: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-01-05 00:15:56.996899: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75642 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:c0:00.0, compute capability: 8.0)
2026-01-05 00:15:57.040553: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:196] None of the MLIR optimization passes are enabled (registered 0 passes)
2026-01-05 00:15:57.051450: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2450000000 Hz
2026-01-05 00:16:03.736224: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-01-05 00:16:04.135087: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-01-05 00:16:04.141343: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-01-05 00:16:05.463505: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-01-05 00:16:05.579735: W tensorflow/stream_executor/gpu/redzone_allocator.cc:314] Internal: ptxas exited with non-zero error code 256, output: 
Relying on driver to perform ptx compilation. 
Modify $PATH to customize ptxas location.
This message will be only logged once.
2026-01-05 00:16:30.954565: I tensorflow/stream_executor/cuda/cuda_blas.cc:1838] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once.
RuntimeError: module compiled against API version 0xe but this version of numpy is 0xd
/home/users/shouvikm/miniconda3/envs/bpnet/lib/python3.7/site-packages/tensorflow/python/keras/layers/core.py:1059: UserWarning: bpnet.model.arch is not loaded, but a Lambda layer uses it. It may cause errors.
  , UserWarning)