Lmod Warning: ------------------------------------------------------------------------------- The following dependent module(s) are not currently loaded: curl/8.4.0 (required by: htslib/1.16) ------------------------------------------------------------------------------- Lmod Warning: ------------------------------------------------------------------------------- The following dependent module(s) are not currently loaded: curl/8.17.0 (required by: ucsc-utils/v489), openssl/3.0.7 (required by: curl/8.4.0) ------------------------------------------------------------------------------- The following have been reloaded with a version change: 1) curl/8.17.0 => curl/8.4.0 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 2026-08-06 13:53:25.730446: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-08-06 13:54:05.293075: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set 2026-08-06 13:54:05.294583: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 2026-08-06 13:54:05.356922: 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 2026-08-06 13:54:05.357004: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-08-06 13:54:05.372139: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-08-06 13:54:05.372229: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-08-06 13:54:05.385825: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 2026-08-06 13:54:05.849244: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 2026-08-06 13:54:06.442474: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 2026-08-06 13:54:06.653221: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 2026-08-06 13:54:06.857345: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-08-06 13:54:06.858268: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2026-08-06 13:54:06.858704: 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. 2026-08-06 13:54:06.858841: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set 2026-08-06 13:54:06.859379: 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 2026-08-06 13:54:06.859442: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-08-06 13:54:06.859470: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-08-06 13:54:06.859482: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-08-06 13:54:06.859505: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 2026-08-06 13:54:06.859516: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 2026-08-06 13:54:06.859525: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 2026-08-06 13:54:06.859534: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 2026-08-06 13:54:06.859543: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-08-06 13:54:06.860080: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2026-08-06 13:54:06.860105: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-08-06 13:54:09.314355: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-08-06 13:54:09.314430: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 2026-08-06 13:54:09.314441: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N 2026-08-06 13:54:09.315101: 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) 2026-08-06 13:54:22.843670: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) 2026-08-06 13:54:22.844183: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500000000 Hz 2026-08-06 13:54:24.870987: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-08-06 13:54:25.371588: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-08-06 13:54:25.376767: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-08-06 13:54:27.630923: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256 2026-08-06 13:54:27.717196: 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. 2026-08-06 13:54:45.025222: 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]) 2026-08-06 13:57:17.179555: 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. 2026-08-06 13:57:36.470362: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-08-06 13:58:33.741881: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set 2026-08-06 13:58:33.747281: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 2026-08-06 13:58:33.785665: 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 2026-08-06 13:58:33.785760: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-08-06 13:58:33.951583: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-08-06 13:58:33.951682: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-08-06 13:58:33.986623: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 2026-08-06 13:58:33.996928: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 2026-08-06 13:58:34.010651: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 2026-08-06 13:58:34.020355: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 2026-08-06 13:58:34.022971: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-08-06 13:58:34.023435: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2026-08-06 13:58:34.023769: 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. 2026-08-06 13:58:34.023907: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set 2026-08-06 13:58:34.024198: 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 2026-08-06 13:58:34.024275: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-08-06 13:58:34.024301: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-08-06 13:58:34.024311: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-08-06 13:58:34.024322: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 2026-08-06 13:58:34.024332: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 2026-08-06 13:58:34.024341: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 2026-08-06 13:58:34.024351: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 2026-08-06 13:58:34.024361: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-08-06 13:58:34.024674: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2026-08-06 13:58:34.024702: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-08-06 13:58:34.462020: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-08-06 13:58:34.462111: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 2026-08-06 13:58:34.462138: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N 2026-08-06 13:58:34.462839: 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%| | 0/20 [00:00 physical GPU (device: 0, name: NVIDIA L40S, pci bus id: 0000:e1:00.0, compute capability: 8.9) 2026-08-06 14:00:15.368613: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:196] None of the MLIR optimization passes are enabled (registered 0 passes) 2026-08-06 14:00:15.384551: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500000000 Hz 2026-08-06 14:00:17.122397: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-08-06 14:00:17.620055: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-08-06 14:00:17.623816: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-08-06 14:00:19.213172: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256 2026-08-06 14:00:19.307954: 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. 2026-08-06 14:00:38.453019: 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)