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 15:13:46.161563: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 15:15:57.853690: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set 2026-07-10 15:15:57.866286: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 2026-07-10 15:15:58.047014: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: pciBusID: 0000:46:00.0 name: NVIDIA A40 computeCapability: 8.6 coreClock: 1.74GHz coreCount: 84 deviceMemorySize: 44.34GiB deviceMemoryBandwidth: 648.29GiB/s 2026-07-10 15:15:58.047067: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 15:15:58.687162: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-07-10 15:15:58.687301: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-07-10 15:15:59.099576: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 2026-07-10 15:15:59.692576: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 2026-07-10 15:16:00.326117: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 2026-07-10 15:16:00.539925: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 2026-07-10 15:16:00.745578: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-07-10 15:16:00.752786: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2026-07-10 15:16:00.753223: 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 15:16:00.753299: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set 2026-07-10 15:16:00.757079: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: pciBusID: 0000:46:00.0 name: NVIDIA A40 computeCapability: 8.6 coreClock: 1.74GHz coreCount: 84 deviceMemorySize: 44.34GiB deviceMemoryBandwidth: 648.29GiB/s 2026-07-10 15:16:00.757104: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 15:16:00.757119: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-07-10 15:16:00.757131: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-07-10 15:16:00.757152: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 2026-07-10 15:16:00.757165: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 2026-07-10 15:16:00.757177: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 2026-07-10 15:16:00.757188: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 2026-07-10 15:16:00.757199: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-07-10 15:16:00.763710: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2026-07-10 15:16:00.763744: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 15:16:03.278586: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-07-10 15:16:03.278690: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 2026-07-10 15:16:03.278705: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N 2026-07-10 15:16:03.284338: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 42291 MB memory) -> physical GPU (device: 0, name: NVIDIA A40, pci bus id: 0000:46:00.0, compute capability: 8.6) 2026-07-10 15:16:07.495728: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2) 2026-07-10 15:16:07.496277: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2800185000 Hz 2026-07-10 15:16:08.997394: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-07-10 15:16:10.763017: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-07-10 15:16:10.767473: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-07-10 15:16:25.240167: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256 2026-07-10 15:16:25.378630: 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 15:17:06.547781: 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 15:19:45.974035: 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 15:19:53.806660: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 15:21:24.083364: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set 2026-07-10 15:21:24.091431: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1 2026-07-10 15:21:24.257566: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: pciBusID: 0000:46:00.0 name: NVIDIA A40 computeCapability: 8.6 coreClock: 1.74GHz coreCount: 84 deviceMemorySize: 44.34GiB deviceMemoryBandwidth: 648.29GiB/s 2026-07-10 15:21:24.257619: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 15:21:24.273177: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-07-10 15:21:24.273306: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-07-10 15:21:24.281399: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 2026-07-10 15:21:24.288129: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 2026-07-10 15:21:24.298472: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 2026-07-10 15:21:24.305106: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 2026-07-10 15:21:24.311024: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-07-10 15:21:24.318059: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2026-07-10 15:21:24.318538: 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 15:21:24.318676: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set 2026-07-10 15:21:24.322268: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: pciBusID: 0000:46:00.0 name: NVIDIA A40 computeCapability: 8.6 coreClock: 1.74GHz coreCount: 84 deviceMemorySize: 44.34GiB deviceMemoryBandwidth: 648.29GiB/s 2026-07-10 15:21:24.322296: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 15:21:24.322312: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-07-10 15:21:24.322326: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-07-10 15:21:24.322338: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10 2026-07-10 15:21:24.322350: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10 2026-07-10 15:21:24.322362: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10 2026-07-10 15:21:24.322374: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11 2026-07-10 15:21:24.322385: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-07-10 15:21:24.336047: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0 2026-07-10 15:21:24.336081: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0 2026-07-10 15:21:24.799198: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-07-10 15:21:24.799321: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 2026-07-10 15:21:24.799355: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N 2026-07-10 15:21:24.804559: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 42291 MB memory) -> physical GPU (device: 0, name: NVIDIA A40, pci bus id: 0000:46:00.0, compute capability: 8.6) /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%| | 0/4 [00:00 physical GPU (device: 0, name: NVIDIA A40, pci bus id: 0000:46:00.0, compute capability: 8.6) 2026-07-10 15:23:27.696679: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:196] None of the MLIR optimization passes are enabled (registered 0 passes) 2026-07-10 15:23:27.707978: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2800185000 Hz 2026-07-10 15:23:28.689928: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11 2026-07-10 15:23:29.155624: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11 2026-07-10 15:23:29.161589: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8 2026-07-10 15:23:30.654042: W tensorflow/stream_executor/gpu/asm_compiler.cc:63] Running ptxas --version returned 256 2026-07-10 15:23:30.786836: 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 15:23:54.287444: 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)