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 02:51:35.667816: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 02:57:33.124428: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 02:57:33.141222: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-11 02:57:33.196714: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.912GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2026-05-11 02:57:33.196838: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 02:57:33.783626: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 02:57:33.783805: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 02:57:34.201086: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 02:57:34.847945: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 02:57:35.498596: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 02:57:35.810950: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 02:57:36.085619: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 02:57:36.088016: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 02:57:36.088541: 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 02:57:36.088687: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 02:57:36.089969: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.912GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2026-05-11 02:57:36.090054: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 02:57:36.090106: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 02:57:36.090143: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 02:57:36.090178: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 02:57:36.090212: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 02:57:36.090245: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 02:57:36.090278: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 02:57:36.090339: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 02:57:36.091021: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 02:57:36.091092: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 02:57:39.207284: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-11 02:57:39.207405: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-11 02:57:39.207431: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-11 02:57:39.208428: 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: 0000:02:00.0, compute capability: 7.0)
2026-05-11 02:57:47.301083: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2026-05-11 02:57:47.301844: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2400095000 Hz
2026-05-11 02:58:02.803602: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 02:58:06.364933: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 02:58:06.406765: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 02:58:39.618703: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-11 02:58:39.775453: 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 04:00:52.788678: 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 04:02:17.918120: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:07:16.760886: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:07:16.797153: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-11 04:07:16.936950: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.912GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2026-05-11 04:07:16.937106: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:07:17.002861: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:07:17.003023: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:07:17.030873: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:07:17.057311: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:07:17.087922: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:07:17.116130: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:07:17.143475: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:07:17.144673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:07:17.145271: 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 04:07:17.145528: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:07:17.146136: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.912GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2026-05-11 04:07:17.146236: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:07:17.146303: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:07:17.146359: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:07:17.146413: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:07:17.146466: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:07:17.146519: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:07:17.146578: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:07:17.146631: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:07:17.147496: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:07:17.147583: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:07:17.904698: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-11 04:07:17.904813: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-11 04:07:17.904837: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-11 04:07:17.906109: 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: 0000:02:00.0, 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%|          | 0/212 [00:00<?, ?it/s]2026-05-11 04:07:21.359801: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2026-05-11 04:07:21.366224: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2400095000 Hz
2026-05-11 04:07:22.583827: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:07:23.442029: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:07:23.457076: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:07:29.832914: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-11 04:07:30.060043: 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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RuntimeError: module compiled against API version 0xe but this version of numpy is 0xd
Matplotlib is building the font cache; this may take a moment.
2026-05-11 04:13:55.248680: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:15:52.210244: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:15:52.217503: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2026-05-11 04:15:52.303128: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.912GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2026-05-11 04:15:52.303267: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:15:52.371687: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:15:52.371874: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:15:52.406296: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:15:52.441652: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:15:52.479080: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:15:52.514698: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:15:52.549596: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:15:52.550420: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:15:52.550905: 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 04:15:52.551101: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2026-05-11 04:15:52.551443: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: 
pciBusID: 0000:02:00.0 name: NVIDIA TITAN V computeCapability: 7.0
coreClock: 1.912GHz coreCount: 80 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 607.97GiB/s
2026-05-11 04:15:52.551526: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:15:52.551567: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:15:52.551610: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:15:52.551646: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2026-05-11 04:15:52.551682: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2026-05-11 04:15:52.551718: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2026-05-11 04:15:52.551753: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2026-05-11 04:15:52.551813: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:15:52.552353: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2026-05-11 04:15:52.552414: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2026-05-11 04:15:53.305564: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2026-05-11 04:15:53.305665: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2026-05-11 04:15:53.305686: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2026-05-11 04:15:53.310751: 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: 0000:02:00.0, compute capability: 7.0)
2026-05-11 04:15:53.393232: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:196] None of the MLIR optimization passes are enabled (registered 0 passes)
2026-05-11 04:15:53.441686: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2400095000 Hz
2026-05-11 04:16:11.466293: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2026-05-11 04:16:11.885564: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2026-05-11 04:16:11.891368: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2026-05-11 04:16:13.905523: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256
2026-05-11 04:16:14.046035: 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/layers/core.py:1059: UserWarning: bpnet.model.arch is not loaded, but a Lambda layer uses it. It may cause errors.
  , UserWarning)