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 02:54:06.513421: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 03:03:07.688565: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 03:03:07.690631: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-11 03:03:08.358538: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:61:00.0 name: NVIDIA L40S computeCapability: 8.9
coreClock: 2.52GHz coreCount: 142 deviceMemorySize: 44.52GiB deviceMemoryBandwidth: 804.75GiB/s
2026-05-11 03:03:08.358604: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 03:03:09.113697: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 03:03:09.113782: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 03:03:09.195928: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 03:03:09.267719: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 03:03:09.309802: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 03:03:09.345700: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 03:03:09.372720: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 03:03:09.373113: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 03:03:09.373429: 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 03:03:09.373589: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 03:03:09.373798: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:61:00.0 name: NVIDIA L40S computeCapability: 8.9
coreClock: 2.52GHz coreCount: 142 deviceMemorySize: 44.52GiB deviceMemoryBandwidth: 804.75GiB/s
2026-05-11 03:03:09.373817: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 03:03:09.373830: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 03:03:09.373839: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 03:03:09.373848: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 03:03:09.373857: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 03:03:09.373865: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 03:03:09.373874: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 03:03:09.373897: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 03:03:09.374171: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 03:03:09.374196: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 03:03:09.790453: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-11 03:03:09.790525: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-11 03:03:09.790536: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-11 03:03:09.791167: 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: 0000:61:00.0, compute capability: 8.9)
2026-05-11 03:03:15.057308: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2026-05-11 03:03:15.057805: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500000000 Hz
2026-05-11 03:03:18.302832: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 03:03:20.385491: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 03:03:20.398887: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 03:04:06.579887: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-11 03:04:06.720260: 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 03:06:16.851682: 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 03:41:53.840970: 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 03:43:38.290387: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 03:49:09.229208: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 03:49:09.238096: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-11 03:49:09.295160: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:61:00.0 name: NVIDIA L40S computeCapability: 8.9
coreClock: 2.52GHz coreCount: 142 deviceMemorySize: 44.52GiB deviceMemoryBandwidth: 804.75GiB/s
2026-05-11 03:49:09.295215: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 03:49:09.322719: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 03:49:09.322802: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 03:49:09.336212: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 03:49:09.349171: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 03:49:09.364376: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 03:49:09.378248: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 03:49:09.392995: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 03:49:09.393372: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 03:49:09.393601: 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 03:49:09.393732: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 03:49:09.393928: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:61:00.0 name: NVIDIA L40S computeCapability: 8.9
coreClock: 2.52GHz coreCount: 142 deviceMemorySize: 44.52GiB deviceMemoryBandwidth: 804.75GiB/s
2026-05-11 03:49:09.393951: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 03:49:09.393964: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 03:49:09.393975: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 03:49:09.393984: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 03:49:09.393994: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 03:49:09.394004: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 03:49:09.394014: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 03:49:09.394024: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 03:49:09.394304: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 03:49:09.394325: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 03:49:09.801184: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-11 03:49:09.801286: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-11 03:49:09.801295: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-11 03:49:09.801940: 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: 0000:61:00.0, 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%|          | 0/388 [00:00<?, ?it/s]2026-05-11 03:49:11.499107: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2026-05-11 03:49:11.499570: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500000000 Hz
2026-05-11 03:49:11.844064: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 03:49:12.342127: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 03:49:12.343926: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 03:49:14.122415: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-11 03:49:14.225450: 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 04:01:16.440158: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:08:43.213451: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:08:43.214797: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-11 04:08:43.268866: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:61:00.0 name: NVIDIA L40S computeCapability: 8.9
coreClock: 2.52GHz coreCount: 142 deviceMemorySize: 44.52GiB deviceMemoryBandwidth: 804.75GiB/s
2026-05-11 04:08:43.268924: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:08:43.345329: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:08:43.345419: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:08:43.384571: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:08:43.423548: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:08:43.465039: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:08:43.505810: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:08:43.549269: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:08:43.549661: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:08:43.549992: 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 04:08:43.550127: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:08:43.550348: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:61:00.0 name: NVIDIA L40S computeCapability: 8.9
coreClock: 2.52GHz coreCount: 142 deviceMemorySize: 44.52GiB deviceMemoryBandwidth: 804.75GiB/s
2026-05-11 04:08:43.550389: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:08:43.550404: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:08:43.550417: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:08:43.550429: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:08:43.550442: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:08:43.550454: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:08:43.550466: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:08:43.550479: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:08:43.550764: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:08:43.550788: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:08:43.958270: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-11 04:08:43.958343: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-11 04:08:43.958353: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-11 04:08:43.959031: 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: 0000:61:00.0, compute capability: 8.9)
2026-05-11 04:08:43.999263: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:196] None of the MLIR optimization passes are enabled (registered 0 passes)
2026-05-11 04:08:44.012672: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500000000 Hz
2026-05-11 04:11:54.011415: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:11:54.496603: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:11:54.499999: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:11:57.614916: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-11 04:11:57.730400: 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 04:13:50.172253: 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)