2024-11-27 00:18:33.494729: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1953] TensorFlow was not built with CUDA kernel binaries compatible with compute capability 9.0. CUDA kernels will be jit-compiled from PTX, which could take 30 minutes or longer.
2024-11-27 00:18:35.201683: I tensorflow/core/platform/cpu_feature_guard.cc:151] 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.
2024-11-27 00:18:35.205959: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1953] TensorFlow was not built with CUDA kernel binaries compatible with compute capability 9.0. CUDA kernels will be jit-compiled from PTX, which could take 30 minutes or longer.
2024-11-27 00:18:40.264467: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1525] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 78765 MB memory:  -> device: 0, name: NVIDIA H100 80GB HBM3, pci bus id: 0000:1a:00.0, compute capability: 9.0
2024-11-27 00:18:47.238934: I tensorflow/stream_executor/cuda/cuda_dnn.cc:368] Loaded cuDNN version 8101
2024-11-27 00:18:49.204111: W tensorflow/stream_executor/gpu/asm_compiler.cc:230] Falling back to the CUDA driver for PTX compilation; ptxas does not support CC 9.0
2024-11-27 00:18:49.204208: W tensorflow/stream_executor/gpu/asm_compiler.cc:233] Used ptxas at ptxas
2024-11-27 00:18:49.264891: W tensorflow/stream_executor/gpu/redzone_allocator.cc:314] UNIMPLEMENTED: ptxas ptxas too old. Falling back to the driver to compile.
Relying on driver to perform ptx compilation. 
Modify $PATH to customize ptxas location.
This message will be only logged once.
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
2024-11-27 00:25:56.627797: I tensorflow/stream_executor/cuda/cuda_blas.cc:1786] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once.
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0810s vs `on_train_batch_end` time: 0.1144s). Check your callbacks.
WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
WARNING:tensorflow:OMP_NUM_THREADS is no longer used by the default Keras config. To configure the number of threads, use tf.config.threading APIs.
2024-11-27 04:32:08.622349: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1953] TensorFlow was not built with CUDA kernel binaries compatible with compute capability 9.0. CUDA kernels will be jit-compiled from PTX, which could take 30 minutes or longer.
2024-11-27 04:32:08.625611: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1525] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 78765 MB memory:  -> device: 0, name: NVIDIA H100 80GB HBM3, pci bus id: 0000:1a:00.0, compute capability: 9.0
WARNING:tensorflow:From /home/groups/akundaje/soumyak/miniconda3/envs/chrombpnet/lib/python3.8/site-packages/shap/explainers/deep/deep_tf.py:140: The name tf.keras.backend.get_session is deprecated. Please use tf.compat.v1.keras.backend.get_session instead.

/home/groups/akundaje/soumyak/miniconda3/envs/chrombpnet/lib/python3.8/site-packages/logomaker/src/validate.py:98: SyntaxWarning: "is" with a literal. Did you mean "=="?
  if matrix_type is 'information':
/home/groups/akundaje/soumyak/miniconda3/envs/chrombpnet/lib/python3.8/site-packages/logomaker/src/validate.py:104: SyntaxWarning: "is" with a literal. Did you mean "=="?
  elif matrix_type is 'probability':
/home/groups/akundaje/soumyak/miniconda3/envs/chrombpnet/lib/python3.8/site-packages/weasyprint/document.py:35: UserWarning: There are known rendering problems and missing features with cairo < 1.15.4. WeasyPrint may work with older versions, but please read the note about the needed cairo version on the "Install" page of the documentation before reporting bugs. http://weasyprint.readthedocs.io/en/latest/install.html
  warnings.warn(