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 02:52:53.008888: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 02:54:15.649591: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 02:54:15.651147: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-11 02:54:15.684531: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:03:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.912GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2026-05-11 02:54:15.684656: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 02:54:15.690875: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 02:54:15.690972: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 02:54:15.693763: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 02:54:15.695454: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 02:54:15.699827: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 02:54:15.702027: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 02:54:15.704217: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 02:54:15.704875: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 02:54:15.705331: 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.
2026-05-11 02:54:15.705489: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 02:54:15.705808: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:03:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.912GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2026-05-11 02:54:15.705845: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 02:54:15.705872: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 02:54:15.705896: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 02:54:15.705918: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 02:54:15.705940: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 02:54:15.705962: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 02:54:15.705984: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 02:54:15.706042: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 02:54:15.706645: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 02:54:15.706717: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 02:54:16.357954: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-11 02:54:16.358080: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-11 02:54:16.358100: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-11 02:54:16.359092: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10901 MB memory) -> physical GPU (device: 0, name: NVIDIA TITAN V, pci bus id: 0000:03:00.0, compute capability: 7.0)
2026-05-11 02:54:19.190725: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2026-05-11 02:54:19.191350: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2400225000 Hz
2026-05-11 02:54:34.200787: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 02:54:36.768895: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 02:54:36.820705: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 02:54:46.417280: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-11 02:54:47.253413: 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])
2026-05-11 03:55:29.092966: 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 03:56:45.345266: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:01:10.017607: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:01:10.029564: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-11 04:01:10.084876: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:03:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.912GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2026-05-11 04:01:10.085012: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:01:10.103873: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:01:10.103976: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:01:10.113701: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:01:10.122429: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:01:10.134991: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:01:10.144145: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:01:10.152980: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:01:10.153779: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:01:10.154244: 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.
2026-05-11 04:01:10.154419: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:01:10.155143: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:03:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.912GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2026-05-11 04:01:10.155255: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:01:10.155322: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:01:10.155376: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:01:10.155426: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:01:10.155476: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:01:10.155527: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:01:10.155577: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:01:10.155627: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:01:10.156523: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:01:10.156621: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:01:10.821755: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-11 04:01:10.821865: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-11 04:01:10.821882: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-11 04:01:10.822990: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10901 MB memory) -> physical GPU (device: 0, name: NVIDIA TITAN V, pci bus id: 0000:03:00.0, 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%|          | 0/388 [00:00<?, ?it/s]2026-05-11 04:01:13.303661: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2026-05-11 04:01:13.304236: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2400225000 Hz
2026-05-11 04:01:14.019993: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:01:14.782318: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:01:14.790896: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:01:18.006360: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-11 04:01:18.250922: 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 04:09:20.561774: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:11:21.912920: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:11:21.924388: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-11 04:11:21.965492: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:03:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.912GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2026-05-11 04:11:21.965645: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:11:21.983254: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:11:21.983348: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:11:21.992296: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:11:22.000315: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:11:22.009242: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:11:22.015604: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:11:22.022385: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:11:22.023076: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:11:22.023472: 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.
2026-05-11 04:11:22.023617: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:11:22.024050: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:03:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.912GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2026-05-11 04:11:22.024103: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:11:22.024141: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:11:22.024188: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:11:22.024221: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:11:22.024279: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:11:22.024313: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:11:22.024347: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:11:22.024380: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:11:22.025436: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:11:22.025605: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:11:22.680039: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-11 04:11:22.680151: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-11 04:11:22.680171: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-11 04:11:22.681148: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10901 MB memory) -> physical GPU (device: 0, name: NVIDIA TITAN V, pci bus id: 0000:03:00.0, compute capability: 7.0)
2026-05-11 04:11:22.746436: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:196] None of the MLIR optimization passes are enabled (registered 0 passes)
2026-05-11 04:11:22.765861: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2400225000 Hz
2026-05-11 04:11:49.345316: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:11:49.750138: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:11:49.756587: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:11:51.367001: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-11 04:11:51.529728: 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)