我有两个gpus安装在我的个人电脑,因为他们是并行使用(没有任何SLI或喜欢)。假设我在tensorflow中运行了一个简单的代码,类似于中的线性回归。那么使用哪种gpu呢?都用过了吗?这是运行日志。
2018-09-15 02:55:36.314345: I T:\src\github\tensorflow\tensorflow\core\platform\cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2018
以下代码: import time
import tensorflow as tf
tf.enable_eager_execution()
def time_matmul(x):
start = time.time()
for loop in range(10):
tf.matmul(x, x)
result = time.time() - start
print("10 loops: {:0.2f}ms".format(1000 * result))
# Force execution on CPU
print(
当训练深层神经网络时,tensorflow坚持为流创建CudaSolver句柄,而不会向前移动几个小时。
tensorflow version:1.12
cuda version: 9.0
cudnn version: 7.3
2019-06-13 09:45:17.087403: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 AVX512F FMA
201
我以两种方式运行tf。 首先,我使用python3.5和tf 1.12.0,当我运行tf.Session()时,python3.5的输出是这样的: 2020-07-16 16:40:36.993973: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2020-07-16 16:40:37.191067: I tensorflow/core/commo
我正在使用tensorflow网站上给出的测试代码在anaconda中用GPU测试tensorflow:
import tensorflow as tf
with tf.device('/device:GPU:0'):
a = tf.constant([1,2,3,4,5,6],shape=[2,3],name='a')
b = tf.constant([1,2,3,4,5,6],shape=[3,2],name='b')
c = tf.matmul(a,b)
sess = tf.Session(config=tf.ConfigPro
我试图使用自定义数据集来训练stylegan2,但是无论我使用什么设置,我都会看到同样的错误:
2020-05-22 11:15:05.261933: W tensorflow/core/common_runtime/bfc_allocator.cc:305] Garbage collection: deallocate free memory regions (i.e., allocations) so that we can re-allocate a larger region to avoid OOM due to memory fragmentation. If you see th
我的机器里有3个GTX Titan GPU。我用cifar10_train.py运行Cifar10中提供的示例,得到以下输出:
I tensorflow/core/common_runtime/gpu/gpu_init.cc:60] cannot enable peer access from device ordinal 0 to device ordinal 1
I tensorflow/core/common_runtime/gpu/gpu_init.cc:60] cannot enable peer access from device ordinal 1 to device ordi
我创造了一卷码头形象。码头形象是:
REPOSITORY TAG IMAGE ID CREATED SIZE
gcr.io/tensorflow/tensorflow latest-gpu 7f09e75cdc12 4 months ago 1.289 GB
集装箱体积为:
CONTAINER ID IMAGE COMMAND