Custom IMX8MP Board GPU STATE DUMP / DMA Appears to be Stuck Options SOLVED Jump to solution 10-26-2023 01:47 AM 7,959 Views Wobaffet Senior Contributor I Hello, We are working on our custom board with imx8mp mpu. We have 512MB LPDDR4 on our b...
: gpu state dump dma appearsto be stuck at the address 0 Kudos Reply All forum topicsPrevious TopicNext Topic 4 Replies 07-18-2016 12: AM 4,925 igorpadykov NXP Employee Hi it is highly recommendedto moveto latests android versions as many bugs we...
如何在线上快速进行heap dump(内存)、应用内存使用量、应用最大内存可用量进行读取和数据分析 如何获取设备的CPU信息 如何获取设备的SDK版本、产品版本、设备类型(平板、手机)、build版本等信息 console.log和hilog的区别,如何选择使用 private标识日志的作用是什么,如何通过hilog打印的日志查看标识为private的内容...
False [2024-09-23 10:02:08,798] [INFO] [config.py:1003:print] disable_allgather ... False [2024-09-23 10:02:08,798] [INFO] [config.py:1003:print] dump_state ... False [2024-09-23 10:02:08,798] [INFO] [config.py:1003:print] dynamic_loss_scale_args ... None [2024-09...
2.1 保存模型参数 state_dict(建议) 2.2 保存整个模型(并不建议) 3. 为了评估或再训练保存模型 4. 将多个模型保存在一个文件里面 5. 使用来自不同模型的参数进行热启动 6. 在设备之间保存加载模型 6.1 GPU上保存,CPU上加载 6.2 GPU上保存,GPU上加载 ...
(sched_fence_slab, fs); dump_stack(); } static struct fence_set *init_fence_set(void) { struct fence_set *fs = kmem_cache_alloc(sched_fence_slab, GFP_KERNEL); if (fs == NULL) { pr_err("%s line %d, alloc fence set from fence set slab failure.\n", __func__, __LINE__)...
{void*bo_map=brw_bo_map(brw,batch->batch.bo,MAP_WRITE);memcpy(bo_map,batch->batch.map,4*USED_BATCH(*batch));bo_map=brw_bo_map(brw,batch->state.bo,MAP_WRITE);memcpy(bo_map,batch->state.map,batch->state_used);}brw_bo_unmap(batch->batch.bo);brw_bo_unmap(batch->state.bo);...
{"DriverURL":"http://us.download.nvidia.com/tesla/442.50/442.50-tesla-desktop-winserver-2019-2016-international.exe","DriverCertificateUrl":"https://go.microsoft.com/fwlink/?linkid=871664","DriverType":"CUDA"} ProtectedSettings : ProvisioningState : Creating Statuses : SubS...
import tensorflow as tf with tf.Session(config=tf.ConfigProto(allow_soft_placement=True, log_device_placement=True)) as sess: sess.run(init) with tf.device('/device:GPU:0'): for _ in range(3): print(sess.run(state)) from sklearn.datasets import load_iris import numpy as np from sk...
-pstate_strict :在所有设备上强制“严格”pstate 锁(从不设置 SoftLock)。仅在 PStates 3.0+ 上 -dump_limits_on_perf_switch <string> <string> :在 MODS 设置它们之前打印性能限制:[mods/rm/all] [enabled/all/verbose] -disable_gom :在启动时禁用电源门 -fb_row_bits_perfbp <string>:设置每 FBP...