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

2025-11-17 16:26:57.333919: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2025-11-17 16:28:40.641844: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2025-11-17 16:28:40.664932: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2025-11-17 16:28:40.727632: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:89:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0
coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.73GiB deviceMemoryBandwidth: 1.03TiB/s
2025-11-17 16:28:40.727762: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2025-11-17 16:28:41.354824: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2025-11-17 16:28:41.354981: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2025-11-17 16:28:41.687642: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2025-11-17 16:28:42.265708: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2025-11-17 16:28:42.881390: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2025-11-17 16:28:43.020613: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2025-11-17 16:28:43.241820: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2025-11-17 16:28:43.243739: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2025-11-17 16:28:43.244475: 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.
2025-11-17 16:28:43.247468: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2025-11-17 16:28:43.247948: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:89:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0
coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.73GiB deviceMemoryBandwidth: 1.03TiB/s
2025-11-17 16:28:43.247991: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2025-11-17 16:28:43.248017: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2025-11-17 16:28:43.248040: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2025-11-17 16:28:43.248062: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2025-11-17 16:28:43.248083: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2025-11-17 16:28:43.248104: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2025-11-17 16:28:43.248124: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2025-11-17 16:28:43.248163: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2025-11-17 16:28:43.248884: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2025-11-17 16:28:43.248931: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2025-11-17 16:28:45.660481: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-11-17 16:28:45.660594: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2025-11-17 16:28:45.660609: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2025-11-17 16:28:45.662036: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30119 MB memory) -> physical GPU (device: 0, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:89:00.0, compute capability: 7.0)
2025-11-17 16:29:10.584167: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2025-11-17 16:29:10.584955: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499920000 Hz
2025-11-17 16:29:12.045001: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2025-11-17 16:29:13.698397: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2025-11-17 16:29:13.708077: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2025-11-17 16:29:27.146849: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2025-11-17 16:29:27.237508: 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', '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])
2025-11-17 16:33:00.330149: 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.
2025-11-17 16:33:09.757993: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2025-11-17 16:33:45.959822: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2025-11-17 16:33:45.960889: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2025-11-17 16:33:46.005034: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:89:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0
coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.73GiB deviceMemoryBandwidth: 1.03TiB/s
2025-11-17 16:33:46.005141: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2025-11-17 16:33:46.019455: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2025-11-17 16:33:46.019563: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2025-11-17 16:33:46.028114: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2025-11-17 16:33:46.035065: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2025-11-17 16:33:46.045851: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2025-11-17 16:33:46.052903: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2025-11-17 16:33:46.061123: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2025-11-17 16:33:46.062184: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2025-11-17 16:33:46.062706: 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.
2025-11-17 16:33:46.066281: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2025-11-17 16:33:46.067179: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:89:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0
coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.73GiB deviceMemoryBandwidth: 1.03TiB/s
2025-11-17 16:33:46.067288: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2025-11-17 16:33:46.067342: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2025-11-17 16:33:46.067379: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2025-11-17 16:33:46.067414: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2025-11-17 16:33:46.067449: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2025-11-17 16:33:46.067484: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2025-11-17 16:33:46.067518: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2025-11-17 16:33:46.067552: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2025-11-17 16:33:46.068375: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2025-11-17 16:33:46.068412: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2025-11-17 16:33:46.558080: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-11-17 16:33:46.558201: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2025-11-17 16:33:46.558215: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2025-11-17 16:33:46.559347: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30119 MB memory) -> physical GPU (device: 0, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:89:00.0, compute capability: 7.0)
/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%|          | 0/16 [00:00<?, ?it/s]2025-11-17 16:33:48.364230: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2025-11-17 16:33:48.364775: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499920000 Hz
2025-11-17 16:33:48.627121: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2025-11-17 16:33:48.895592: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2025-11-17 16:33:48.897746: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2025-11-17 16:33:50.047161: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2025-11-17 16:33:50.129829: 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:   6%|▋         | 1/16 [00:23<05:46, 23.09s/it]
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2025-11-17 16:34:31.246357: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2025-11-17 16:34:41.991837: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2025-11-17 16:34:41.992767: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2025-11-17 16:34:42.034462: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:89:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0
coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.73GiB deviceMemoryBandwidth: 1.03TiB/s
2025-11-17 16:34:42.034590: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2025-11-17 16:34:42.043776: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2025-11-17 16:34:42.043862: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2025-11-17 16:34:42.049090: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2025-11-17 16:34:42.052846: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2025-11-17 16:34:42.059685: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2025-11-17 16:34:42.064361: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2025-11-17 16:34:42.067204: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2025-11-17 16:34:42.068143: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2025-11-17 16:34:42.068670: 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.
2025-11-17 16:34:42.071993: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2025-11-17 16:34:42.072630: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:89:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0
coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.73GiB deviceMemoryBandwidth: 1.03TiB/s
2025-11-17 16:34:42.072691: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2025-11-17 16:34:42.072726: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2025-11-17 16:34:42.072758: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2025-11-17 16:34:42.072789: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2025-11-17 16:34:42.072820: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2025-11-17 16:34:42.072850: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2025-11-17 16:34:42.072880: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2025-11-17 16:34:42.072910: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2025-11-17 16:34:42.073650: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2025-11-17 16:34:42.073713: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2025-11-17 16:34:42.577471: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2025-11-17 16:34:42.577615: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2025-11-17 16:34:42.577643: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2025-11-17 16:34:42.582321: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30119 MB memory) -> physical GPU (device: 0, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:89:00.0, compute capability: 7.0)
2025-11-17 16:34:42.638263: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:196] None of the MLIR optimization passes are enabled (registered 0 passes)
2025-11-17 16:34:42.655312: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2499920000 Hz
2025-11-17 16:34:44.329873: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2025-11-17 16:34:44.594545: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2025-11-17 16:34:44.600408: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2025-11-17 16:34:45.733018: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2025-11-17 16:34:45.817633: 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.
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)