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 2026-07-10 14:57:20.922960: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 14:59:22.473219: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set 2026-07-10 14:59:22.501649: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 2026-07-10 14:59:22.678905: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: pciBusID: 0000:84:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.14GiB deviceMemoryBandwidth: 1.85TiB/s 2026-07-10 14:59:22.678981: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 14:59:23.411366: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-07-10 14:59:23.411432: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-07-10 14:59:23.730872: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 2026-07-10 14:59:24.308622: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 2026-07-10 14:59:24.882544: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 2026-07-10 14:59:25.064305: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 2026-07-10 14:59:25.312230: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-07-10 14:59:25.318641: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2026-07-10 14:59:25.319013: 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. 2026-07-10 14:59:25.319086: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set 2026-07-10 14:59:25.321503: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: pciBusID: 0000:84:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.14GiB deviceMemoryBandwidth: 1.85TiB/s 2026-07-10 14:59:25.321532: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 14:59:25.321548: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-07-10 14:59:25.321561: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-07-10 14:59:25.321582: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 2026-07-10 14:59:25.321596: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 2026-07-10 14:59:25.321608: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 2026-07-10 14:59:25.321620: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 2026-07-10 14:59:25.321631: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-07-10 14:59:25.326355: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2026-07-10 14:59:25.326391: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 14:59:27.909345: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-07-10 14:59:27.909473: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 2026-07-10 14:59:27.909490: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N 2026-07-10 14:59:27.914611: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75642 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:84:00.0, compute capability: 8.0) 2026-07-10 14:59:29.337784: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) 2026-07-10 14:59:29.338274: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2450010000 Hz 2026-07-10 14:59:31.035949: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-07-10 14:59:32.706890: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-07-10 14:59:32.711017: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-07-10 14:59:45.981450: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256 2026-07-10 14:59:46.072919: 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. 2026-07-10 15:00:05.538506: 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]) 2026-07-10 15:01:25.122648: 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. 2026-07-10 15:01:53.502339: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 15:03:08.967728: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set 2026-07-10 15:03:08.983384: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 2026-07-10 15:03:09.232417: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: pciBusID: 0000:84:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.14GiB deviceMemoryBandwidth: 1.85TiB/s 2026-07-10 15:03:09.232503: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 15:03:09.245777: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-07-10 15:03:09.245827: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-07-10 15:03:09.253162: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 2026-07-10 15:03:09.259470: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 2026-07-10 15:03:09.266710: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 2026-07-10 15:03:09.272827: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 2026-07-10 15:03:09.278439: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-07-10 15:03:09.283295: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2026-07-10 15:03:09.283570: 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. 2026-07-10 15:03:09.283634: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set 2026-07-10 15:03:09.286016: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: pciBusID: 0000:84:00.0 name: NVIDIA A100-SXM4-80GB computeCapability: 8.0 coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 79.14GiB deviceMemoryBandwidth: 1.85TiB/s 2026-07-10 15:03:09.286044: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 15:03:09.286060: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-07-10 15:03:09.286073: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-07-10 15:03:09.286086: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 2026-07-10 15:03:09.286098: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 2026-07-10 15:03:09.286111: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 2026-07-10 15:03:09.286124: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 2026-07-10 15:03:09.286136: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-07-10 15:03:09.290815: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2026-07-10 15:03:09.290849: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 15:03:09.726803: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-07-10 15:03:09.727012: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 2026-07-10 15:03:09.727049: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N 2026-07-10 15:03:09.730999: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 75642 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:84:00.0, compute capability: 8.0) /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%| | 0/2 [00:00 physical GPU (device: 0, name: NVIDIA A100-SXM4-80GB, pci bus id: 0000:84:00.0, compute capability: 8.0) 2026-07-10 15:04:47.467080: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:196] None of the MLIR optimization passes are enabled (registered 0 passes) 2026-07-10 15:04:47.484420: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2450010000 Hz 2026-07-10 15:04:48.537020: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-07-10 15:04:48.935242: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-07-10 15:04:48.941695: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-07-10 15:04:50.210859: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256 2026-07-10 15:04:50.305207: 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. 2026-07-10 15:05:18.430815: 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)