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

2026-05-11 03:33:15.122045: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 03:34:01.934751: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 03:34:01.936067: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-11 03:34:03.343434: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:e1:00.0 name: NVIDIA L40S computeCapability: 8.9
coreClock: 2.52GHz coreCount: 142 deviceMemorySize: 44.52GiB deviceMemoryBandwidth: 804.75GiB/s
2026-05-11 03:34:03.343483: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 03:34:06.848752: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 03:34:06.848833: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 03:34:06.851996: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 03:34:06.853774: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 03:34:06.857335: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 03:34:06.859502: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 03:34:06.862080: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 03:34:06.862458: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 03:34:06.862783: 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 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2026-05-11 03:34:06.862912: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 03:34:06.863114: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:e1:00.0 name: NVIDIA L40S computeCapability: 8.9
coreClock: 2.52GHz coreCount: 142 deviceMemorySize: 44.52GiB deviceMemoryBandwidth: 804.75GiB/s
2026-05-11 03:34:06.863131: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 03:34:06.863143: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 03:34:06.863153: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 03:34:06.863162: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 03:34:06.863171: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 03:34:06.863180: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 03:34:06.863189: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 03:34:06.863209: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 03:34:06.863487: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 03:34:06.863506: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 03:34:07.285367: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-11 03:34:07.285452: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-11 03:34:07.285463: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-11 03:34:07.286111: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 42313 MB memory) -> physical GPU (device: 0, name: NVIDIA L40S, pci bus id: 0000:e1:00.0, compute capability: 8.9)
2026-05-11 03:34:08.962731: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2026-05-11 03:34:08.963214: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500000000 Hz
2026-05-11 03:34:13.552968: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 03:34:15.445763: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 03:34:15.482302: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 03:34:21.120626: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-11 03:34:21.480398: 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.
2026-05-11 03:34:54.200597: 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])
2026-05-11 03:52:17.260548: 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.
2026-05-11 03:54:17.471275: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:02:42.481320: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:02:42.512857: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-11 04:02:42.602632: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:e1:00.0 name: NVIDIA L40S computeCapability: 8.9
coreClock: 2.52GHz coreCount: 142 deviceMemorySize: 44.52GiB deviceMemoryBandwidth: 804.75GiB/s
2026-05-11 04:02:42.602679: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:02:42.650975: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:02:42.651052: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:02:42.675677: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:02:42.700136: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:02:42.726352: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:02:42.751262: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:02:42.776900: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:02:42.777275: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:02:42.777496: 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 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2026-05-11 04:02:42.777632: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:02:42.777836: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:e1:00.0 name: NVIDIA L40S computeCapability: 8.9
coreClock: 2.52GHz coreCount: 142 deviceMemorySize: 44.52GiB deviceMemoryBandwidth: 804.75GiB/s
2026-05-11 04:02:42.777856: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:02:42.777870: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:02:42.777880: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:02:42.777891: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:02:42.777900: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:02:42.777910: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:02:42.777920: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:02:42.777930: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:02:42.778209: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:02:42.778230: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:02:43.183900: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-11 04:02:43.184003: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-11 04:02:43.184013: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-11 04:02:43.184665: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 42313 MB memory) -> physical GPU (device: 0, name: NVIDIA L40S, pci bus id: 0000:e1:00.0, compute capability: 8.9)
/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%|          | 0/202 [00:00<?, ?it/s]2026-05-11 04:02:45.071105: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2026-05-11 04:02:45.071570: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500000000 Hz
2026-05-11 04:02:45.632903: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:02:46.185827: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:02:46.187510: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:02:48.127230: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-11 04:02:48.210490: 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])

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2026-05-11 04:12:14.137398: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:16:44.115634: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:16:44.127026: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-11 04:16:44.197492: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:e1:00.0 name: NVIDIA L40S computeCapability: 8.9
coreClock: 2.52GHz coreCount: 142 deviceMemorySize: 44.52GiB deviceMemoryBandwidth: 804.75GiB/s
2026-05-11 04:16:44.197557: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:16:44.225797: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:16:44.225882: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:16:44.239062: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:16:44.252238: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:16:44.267140: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:16:44.280327: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:16:44.293289: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:16:44.293691: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:16:44.294012: 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 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2026-05-11 04:16:44.294162: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:16:44.294387: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:e1:00.0 name: NVIDIA L40S computeCapability: 8.9
coreClock: 2.52GHz coreCount: 142 deviceMemorySize: 44.52GiB deviceMemoryBandwidth: 804.75GiB/s
2026-05-11 04:16:44.294414: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:16:44.294430: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:16:44.294442: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:16:44.294455: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:16:44.294467: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:16:44.294480: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:16:44.294506: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:16:44.294519: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:16:44.294822: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:16:44.294848: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:16:44.703610: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-11 04:16:44.703715: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-11 04:16:44.703725: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-11 04:16:44.704416: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 42313 MB memory) -> physical GPU (device: 0, name: NVIDIA L40S, pci bus id: 0000:e1:00.0, compute capability: 8.9)
2026-05-11 04:16:44.743923: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:196] None of the MLIR optimization passes are enabled (registered 0 passes)
2026-05-11 04:16:44.757368: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500000000 Hz
2026-05-11 04:16:53.755822: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:16:54.235446: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:16:54.239171: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:16:56.051406: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-11 04:16:56.141166: 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.
2026-05-11 04:18:31.491169: 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)