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ubuntu2204
Kernel: Python 3 (system-wide)
import tensorflow as tf
tf.__version__
2024-01-07 04:01:52.762122: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-01-07 04:01:55.795218: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered 2024-01-07 04:01:55.800470: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered 2024-01-07 04:01:56.297375: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 2024-01-07 04:01:57.316683: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-01-07 04:02:07.794672: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
'2.15.0'
import keras
from keras.layers import Activation
from keras import backend as K

keras.__version__
'2.12.0'

import from tensorflow.keras

from tensorflow.keras.layers import Activation
from tensorflow.keras import backend as K

tf.keras.backend.set_floatx('float64')

tf.keras.saving.get_custom_objects()
{'Custom>Adadelta': keras.optimizers.adadelta.Adadelta, 'Custom>Adafactor': keras.optimizers.adafactor.Adafactor, 'Custom>Adagrad': keras.optimizers.adagrad.Adagrad, 'Custom>Adam': keras.optimizers.adam.Adam, 'Custom>Adamax': keras.optimizers.adamax.Adamax, 'Custom>AdamW': keras.optimizers.adamw.AdamW, 'Custom>Ftrl': keras.optimizers.ftrl.Ftrl, 'Custom>Nadam': keras.optimizers.nadam.Nadam, 'Custom>RMSprop': keras.optimizers.rmsprop.RMSprop, 'Custom>SGD': keras.optimizers.sgd.SGD, 'Custom>SharpnessAwareMinimization': keras.models.sharpness_aware_minimization.SharpnessAwareMinimization, 'Custom>CustomScaleLayer': keras.applications.inception_resnet_v2.CustomScaleLayer}