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

2026-05-28 11:52:16.463817: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-28 11:52:53.248827: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-28 11:52:53.250129: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-28 11:52:53.275925: 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
2026-05-28 11:52:53.276023: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-28 11:52:53.282842: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-28 11:52:53.282942: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-28 11:52:53.285408: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-28 11:52:53.287155: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-28 11:52:53.292097: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-28 11:52:53.294436: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-28 11:52:53.296566: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-28 11:52:53.297006: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-28 11:52:53.297331: 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.
2026-05-28 11:52:53.297507: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-28 11:52:53.297867: 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
2026-05-28 11:52:53.297895: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-28 11:52:53.297911: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-28 11:52:53.297921: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-28 11:52:53.297931: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-28 11:52:53.297940: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-28 11:52:53.297949: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-28 11:52:53.297957: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-28 11:52:53.297988: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-28 11:52:53.298265: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-28 11:52:53.298289: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-28 11:52:53.710846: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-28 11:52:53.710949: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-28 11:52:53.710959: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-28 11:52:53.711608: 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)
2026-05-28 11:52:55.224413: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2026-05-28 11:52:55.224930: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500000000 Hz
2026-05-28 11:53:00.279053: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-28 11:53:01.532084: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-28 11:53:01.536793: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-28 11:53:02.966951: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-28 11:53:03.061566: 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.
2026-05-28 11:53:20.964372: 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])
2026-05-28 12:03:32.049516: 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.
2026-05-28 12:03:35.573072: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-28 12:03:47.336906: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-28 12:03:47.337881: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-28 12:03:47.372275: 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
2026-05-28 12:03:47.372365: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-28 12:03:47.384894: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-28 12:03:47.384983: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-28 12:03:47.390934: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-28 12:03:47.396005: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-28 12:03:47.403707: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-28 12:03:47.409174: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-28 12:03:47.414179: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-28 12:03:47.414615: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-28 12:03:47.414919: 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.
2026-05-28 12:03:47.415091: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-28 12:03:47.415400: 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
2026-05-28 12:03:47.415426: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-28 12:03:47.415442: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-28 12:03:47.415453: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-28 12:03:47.415463: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-28 12:03:47.415473: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-28 12:03:47.415483: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-28 12:03:47.415493: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-28 12:03:47.415503: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-28 12:03:47.415793: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-28 12:03:47.415822: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-28 12:03:47.824107: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-28 12:03:47.824212: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-28 12:03:47.824222: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-28 12:03:47.824881: 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%|          | 0/92 [00:00<?, ?it/s]2026-05-28 12:03:49.397767: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2026-05-28 12:03:49.398282: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500000000 Hz
2026-05-28 12:03:49.624445: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-28 12:03:50.180105: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-28 12:03:50.182176: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-28 12:03:51.851646: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-28 12:03:51.948133: 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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2026-05-28 12:05:02.612749: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-28 12:05:10.970066: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-28 12:05:10.971439: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-28 12:05:10.999743: 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
2026-05-28 12:05:10.999845: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-28 12:05:11.005081: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-28 12:05:11.005179: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-28 12:05:11.007372: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-28 12:05:11.009463: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-28 12:05:11.012892: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-28 12:05:11.014984: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-28 12:05:11.017268: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-28 12:05:11.017711: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-28 12:05:11.018152: 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.
2026-05-28 12:05:11.018312: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-28 12:05:11.018704: 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
2026-05-28 12:05:11.018753: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-28 12:05:11.018770: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-28 12:05:11.018783: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-28 12:05:11.018796: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-28 12:05:11.018809: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-28 12:05:11.018822: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-28 12:05:11.018834: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-28 12:05:11.018847: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-28 12:05:11.019138: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-28 12:05:11.019166: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-28 12:05:11.435721: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-28 12:05:11.435832: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-28 12:05:11.435842: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-28 12:05:11.436540: 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)
2026-05-28 12:05:11.475517: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:196] None of the MLIR optimization passes are enabled (registered 0 passes)
2026-05-28 12:05:11.489466: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500000000 Hz
2026-05-28 12:05:16.010168: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-28 12:05:16.495190: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-28 12:05:16.499096: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-28 12:05:17.953736: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-28 12:05:18.046299: 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.
2026-05-28 12:05:33.926306: 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)