29 lines
821 B
Python
29 lines
821 B
Python
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import tensorflow as tf
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from tensorflow import keras
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import matplotlib.pyplot as plt
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import numpy as np
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import os
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# Version Information
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# tensorflow 2.2.0 , Cudnn7.6.5 and Cuda 10.1 , python 3.8
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from keras import backend as K
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K.clear_session()
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gpus = tf.config.experimental.list_physical_devices('GPU')
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if gpus:
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try:
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tf.config.experimental.set_virtual_device_configuration(gpus[0], [tf.config.experimental.VirtualDeviceConfiguration(memory_limit=6024)])
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except RuntimeError as e:
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print(e)
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os.exit(1)
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print(tf.config.experimental.list_physical_devices())
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print(tf.__version__)
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print(tf.test.is_built_with_cuda())
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(X_train, y_train), (X_test,y_test) = tf.keras.datasets.cifar10.load_data()
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(X_train, y_train), (X_test,y_test) = tf.keras.datasets.cifar10.load_data()
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print(X_train.shape,y_train.shape)
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