2021-04-01 11:18:18.458471: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA...node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...NUMA node zero 2021-04-01 11:18:18.458996: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720]...NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node
NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node...NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node
2019-10-10 16:12:15.537451: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1006] successful NUMA...node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...NUMA node zero 2019-10-10 16:12:15.538341: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618]...NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node
NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node...NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node...] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node
above exception, another exception occurred: Traceback (most recent call last): File “”, line 1,...tf.Session() 2018-12-04 08:46:22.637049: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful...NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...NUMA node zero 2018-12-04 08:46:22.637463: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405]...Found device 0 with properties: name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.582
pod/test-gpu created root@hello:~# 复制代码 查看日志 root@hello:~# kubectl logs test-gpu WARNING:tensorflow:From...tensorflow-sample-code/tfjob/docker/mnist/main.py:120: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops...tf.nn.softmax_cross_entropy_with_logits_v2. 2021-11-24 04:38:50.846973: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful...NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...NUMA node zero 2021-11-24 04:38:50.847698: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105]
可见显卡信息已成功取到: 2021-10-08 23:09:34.367795: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful...NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...NUMA node zero 2021-10-08 23:09:34.368110: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1402]
代码部分 from tensorflow import keras from keras.datasets import cifar10 import numpy as np batch_size...,kernel_size=3,strides=1,padding='same'), # Padding method), #(-1,32,32,32)->(-1,16,16,32)...AVX AVX2 FMA 2019-03-15 17:07:34.552699: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:964] successful...NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...NUMA node zero 2019-03-15 17:07:34.553036: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432]
2023-07-09 16:49:20.811614: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:996] successful...NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...NUMA node zero....See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-...output "last_hidden_state": -[✓] (3, 9, 768) matches (3, 9, 768) -[✓] all values close (atol: 1e
The name of the CPUIdle governor currently used by the kernel can be read from the current_governor_ro...The name of the CPUIdle driver currently used by the kernel can be read from the current_driver file...the correction factor becomes (it must fall between 0 and 1 inclusive)....the idle state object corresponding to it, as follows: above Total number of times this idle state had...Negative values will be rejected in both cases and, also in both cases, the written integer number will
int numa_node; /* NUMA node this device is close to */ #endif u64 *dma_mask; /* dma mask (if dma'able...bool offline:1; }; device结构体比较复杂,同时其中还包含了dma, numa, pintrl, pm相关的知识,本小节不做过多谈论。...if (kobj) dev->kobj.parent = kobj; /* use parent numa_node */ if (parent) set_dev_node(dev, dev_to_node...This call must come * after dpm_sysfs_add() and before kobject_uevent(). */ if (dev->bus) blocking_notifier_call_chain...This call must come * before dpm_sysfs_remove(). */ if (dev->bus) //如果bus总线存在,调用通知链删除设备 blocking_notifier_call_chain
Don't remove Python 3.5 from your system - it will break....from hkp server keyserver.ubuntu.com gpg: /tmp/tmpec5st1dk/trustdb.gpg: trustdb created gpg: key F06FC659...use: AVX2 FMA 2019-09-14 12:27:18.360212: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:998] successful...NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning...NUMA node zero 2019-09-14 12:27:18.360498: I tensorflow/compiler/xla/service/service.cc:150] XLA service
任何SMP Opteron机器都是一个NUMA机器,我们来看看NUMA信息/sys/devices/system/node。每个NUMA节点都有对应的子目录,子目录里有一些文件。...每个处理器自成一个node,可以从cpumap文件里的bit看出来。 distance文件描述了访问每个node的开销。本地开销为10,远程开销都是20。...Figure 5.3: Read/Write Performance with Multiple Nodes 可以0 Hop、两个1 Hop、2 Hop的读写性能差异。...主要看N0和N3的值,这个是分配到node 0和3的页的数量。...所以可以大概猜到进程执行在node 3的核心上。read-only mapping,比如第一个ld-2.4.so和libc-2.4.so和locale-archive则分配在别的node上。
This is a read-only value. 十七 numa_zonelist_order This sysctl is only for NUMA....Assume 2 node NUMA and below is zonelist of Node(0)'s GFP_KERNEL: (A) Node(0) ZONE_NORMAL -> Node(0)...ZONE_DMA -> Node(1) ZONE_NORMAL (B) Node(0) ZONE_NORMAL -> Node(1) ZONE_NORMAL -> Node(0) ZONE_DMA....It is a logarithmic value - setting it to zero means "1 page", setting it to 1 means "2 pages", setting...The default value is 1. This tunable first appeared in 2.6.22 kernel.
The sid of a session can be found by running iscsiadm -m session -P 1....op must be one of discovery, node, fw, host iface or session....with info from the config file and command line....Instead of sid, a sysfs path containing the session can be used....To utilize iSNS, the address of the iSNS server must be set in iscsid.conf using the “isns.address” value
To quote the OpenCV documentation about negative samples: "Negative samples are taken from arbitrary...These images must not contain detected objects. Negative samples are enumerated in a special file....USING OUR OWN CLASSIFIER NODE.JS AND OPENCV Let's give our classifier a shot by using Node.js and the... node-opencv module..../recognize_this_1.jpg', './recognize_this_2.jpg', './recognize_this_3.jpg', '.
10.10.10.111: icmp_seq=1 ttl=64 time=0.156 ms 64 bytes from 10.10.10.111: icmp_seq=2 ttl=64 time=0.147...', 'None' => 'None' iscsiadm: updated 'node.session.nr_sessions', '1' => '1' iscsiadm: updated 'node.session.iscsi.FastAbort...: sysfs_attr_get_value: new uncached attribute '/sys/class/iscsi_transport/iser/handle' iscsiadm: sysfs_attr_get_value...class/iscsi_transport/iser/handle' with attribute value '18446744072106209312' iscsiadm: sysfs_attr_get_value...: sysfs_attr_get_value: open '/class/iscsi_transport/iser'/'caps' iscsiadm: sysfs_attr_get_value: found
If a product isn’t successful in this model, then not enough items from the backlog have been implemented...The more features from the backlog, the more success we have. This brings the buy in from the CTO....No wonder this frame is so successful....Development is cut to the minimum to deliver “value” and engineering best practices are thrown out of...The impact frame is not throughput oriented and all the negative consequences of the backlog frame go
= mpegts_probe, .read_header = mpegts_read_header, .read_packet = mpegts_read_packet...* * @return 0 on success, a negative AVERROR on failure....* * @return 0 on success, a negative AVERROR on error....* In case of failure the pointed to value is set to NULL....* * May only be called after a successful call to avformat_write_header.
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