When errors occur with libprotobuf or protobuf in Tensorboard(Tensorflow 1.14 or 1.15)
Just downgrade its version all above as 3.8.0 in Anaconda.
2020년 4월 17일 금요일
2019년 8월 16일 금요일
텐서플로, 케라스 GPU 사용하는지 확인
https://rfriend.tistory.com/425
import numpy as np
import pandas as pd
import keras
import tensorflow as tf
from IPython.display import display
import PIL #Pillow
# How to check if the code is running on GPU or CPU?
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())
tf.test.is_gpu_available(
cuda_only=False,
min_cuda_compute_capability=None
)
# Returns:
# True if a GPU device of the requested kind is available.
import numpy as np
import pandas as pd
import keras
import tensorflow as tf
from IPython.display import display
import PIL #Pillow
# How to check if the code is running on GPU or CPU?
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())
tf.test.is_gpu_available(
cuda_only=False,
min_cuda_compute_capability=None
)
# Returns:
# True if a GPU device of the requested kind is available.
라벨:
#케라스,
#텐서플로,
#GPU,
#keras,
#tensorflow
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