When using Anaconda conda in terminal Windows, we often found the Python and default packages is already installed. To create conda new environment empty packages in Windows cmd / powershell without any packages, follow this steps:
Uninstall Anaconda (if you have its installed)
In installation step, un-check both “Add Anaconda to my Path” and “Register Anaconda Python for VScode, etc.”
Complete the installation
Go to Edit the Environment Variables
Create a new variable with “C:\Users\YOURUSERNAME\anaconda3\Scripts”
And we done. Next, you can open terminal:
conda init
conda create -n test
conda activate test
conda list
Voilla! Now you have empty environment with Conda 100%!
Jupyter Notebook from Anaconda is not coming with Tensorflow by default. If you are using Windows and want to leverage your GPU (mine is RTX 3060Ti), you can install Tensorflow GPU integrated with your Jupyter.
In this steps, no Python installation required, since we will using Python from Anaconda (~ version 3.9). This is also to reduce complexity of using different virtual environment in Conda.
Yes, in this step, the TensorFlow will automatically load into your default Jupyter root base environment and will not require installing a new one.
Dark mode is good or bad for your eyes? What happen when all website you are visit is in Dark mode? I’m running this experiments via Chrome. Yes, you can enable this easily. Follow the steps below
First, type this into your browser
chrome://flags
Search “auto dark mode” in the search box, then click Enable.
Then relaunch your browser. Now, everything you see will be in dark mode!
PS: Apparently dark mode is not good for my eyes focus after give a try for 15-20 minutes
When your PC feels laggy with Nvidia GPU drivers that keep hitting 100% under idle situations, there are several chances to cause that problem.
Either its virus, trojan on mining crypto, the NVIDIA drivers mismatch, misconfiguration on NVidia settings, Windows scaling issues and many more
After tweaking several stuff, I gave up and decided to solve this by revert back to Windows 10 with NVCleanStall. There result is amazing, now my GPU load RTX 3060 Ti is back to normal
Ideally, when your Windows is idle, your GPU load utilization should be like this
Fyi, this is running under 240hz of monitor refresh rate and using Windows 11 22H2
To solve the problem:
Reduce performance by go to Windows start menu “Adjust the appearance and performance of windows”.
Try to remove unnecessary animation and others stuff.
3. Install the latest Nvidia drivers and do not change the 4. Go to Task Manager, find Desktop Window Manager, right click and choose “Go to Details”. Find dwm.exe and right click. Set priority to Normal.
If the GPU load still high, Please check your Nvidia settings and change Power Management from “Prefer Maximum Performance” into “Normal” then reboot.
If this High GPU load still exists, the last resort is to “uninstall your GPU Nvidia Driver” and use the default driver from Windows (early version)
In my case, the 2021 drivers works like a charm for me!
This tutorial will help you to run Tensorflow in Windows 11 to use GPU for modelling, with the latest Visual Studio, CUDA and latest drivers. In this case, I’m using RTX 3060Ti Lite Hashes and Python 3.7 – 3.10 for Windows. (I use Python 3.10.9)
TLDR;
We need to install
Clean Windows Installation and GPU drivers card
the Microsoft Visual C++ (MSVC) compiler 2022
the CUDA Toolkit 11.8
the cuDNN libraries
Install tensorflow
Pre-requisites
1. Windows fresh installation to remove the complexity of issues or bugs is recommended here. I did re-install my Windows 11 in this step
When your Chia not working, the plots not detected and you facing this issue as below:
2021-11-14T01:14:03.189 farmer chia.farmer.farmer : ERROR Harvester did not respond. You might need to update harvester to the latest version
2021-11-14T01:15:34.203 farmer chia.farmer.farmer : ERROR Harvester did not respond. You might need to update harvester to the latest version
2021-11-14T01:16:44.015 farmer chia.farmer.farmer : WARNING Respond plots came too late
2021-11-14T01:16:45.076 farmer chia.farmer.farmer : WARNING Respond plots came too late
2021-11-14T01:25:50.229 farmer chia.farmer.farmer : ERROR Harvester did not respond. You might need to update harvester to the latest version
2021-11-14T01:25:53.323 harvester chia.harvester.harvester: WARNING Looking up qualities on C:\Chia\A2-1\plot-k32-2021-06-01-12-28-439ad908425b679f5b2461355304db7dfa9e2d5d43f15144f17f581de068bb9a.plot took: 166.60197138786316. This should be below 5 seconds to minimize risk of losing rewards.
2021-11-14T01:25:54.230 farmer chia.farmer.farmer : WARNING Respond plots came too late
2021-11-14T01:28:55.762 farmer chia.farmer.farmer : ERROR Harvester did not respond. You might need to update harvester to the latest version
2021-11-14T01:30:26.760 farmer chia.farmer.farmer : ERROR Harvester did not respond. You might need to update harvester to the latest version
2021-11-14T01:31:00.841 harvester chia.harvester.harvester: WARNING Looking up qualities on C:\Chia\A1-4\plot-k32-2021-07-07-10-53-1551a1b70e7d90261a19047a186a4839bac323d6e2f581e74456d9b4e2ee7e91.plot took: 236.3222620487213. This should be below 5 seconds to minimize risk of losing rewards.
2021-11-14T01:31:02.674 farmer chia.farmer.farmer : WARNING Respond plots came too late
2021-11-14T01:31:04.106 farmer chia.farmer.farmer : WARNING Respond plots came too late
