make menuconifg中的 < > DAX: direct access to differentiated memory ---- 介 绍

DAX（直接访问差异化内存）是一种可通过内存寻址直接访问非易失性随机访问存储器（NVRAM）的功能。它可以跳过操作系统的文件系统和缓存，直接在内存和NVRAM之间传输数据，从而提高I/O性能和降低延迟。DAX可以用于各种应用场景，例如高速缓存、数据库、虚拟化和云计算等。在Linux内核中，启用DAX功能需要配置相关的内核选项，例如“CONFIG_FS_DAX”，“CONFIG_BLK_DEV_PMEM”和“CONFIG_DEV_DAX_PMEM”等。启用DAX功能后，应用程序可以使用mmap（）系统调用直接将NVRAM映射到用户空间内存，从而实现直接访问NVRAM。

相关问题

Differentiated Services Field: 0x00 (DSCP: CS0, ECN: Not-ECT)

Differentiated Services Field (DS Field) is a field in the IPv4 and IPv6 headers that is used to provide differentiated services to network traffic. The field is composed of 6 bits, which are used to define the Differentiated Services Code Point (DSCP) and 2 bits that are used for Explicit Congestion Notification (ECN).

In the given DS Field value of "0x00", the DSCP value is CS0 which stands for "Class Selector 0". This implies that the traffic is being marked as best effort with no priority. The ECN value is "Not-ECT" which means that the packet is not using Explicit Congestion Notification.

Overall, this DS Field value implies that the network traffic is not given any special treatment or priority and is treated as best effort traffic.

Traceback (most recent call last): File "C:/Users/15827/AppData/Roaming/JetBrains/PyCharmCE2022.1/scratches/scratch.py", line 82, in <module> u_x_0 = torch.autograd.grad(net_bc_right, pt_x_0, grad_outputs=torch.ones_like(net_bc_right), File "C:\Users\15827\anaconda3\envs\pytorch\lib\site-packages\torch\autograd\__init__.py", line 276, in grad return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass RuntimeError: One of the differentiated Tensors does not require grad什么是

这是一个运行时错误，通常是由于在计算梯度时，某个张量没有设置 `requires_grad=True` 导致的。在 PyTorch 中，只有设置了 `requires_grad=True` 的张量才能够进行梯度计算。因此，您需要确认您的代码中所有需要计算梯度的张量都已经设置了 `requires_grad=True`。如果还有问题，您可以检查您的计算图是否正确，或者尝试使用 `retain_graph=True` 参数来保留计算图。