Відео

So amazing!

Success with a tweak on 2024-12-21: I tried the Windows native versions and succeeded with both tf-cpu and tf-gpu. Two remarks: 1. tf-cpu works fine with python=3.12 too 2. tf-gpu needs python=3.9 and this tweak: pip install "numpy<2" "tensorflow<2.11" to avoid an error about incompatibility with numpy>=2.0.0 Thanks a great lot @RELUvance! I would have exceeded my frustration tolerance and given up without this video.

Really appreciate this content. I have been trying to download Tensor Flow all the day. Really thankssss

At GPU TensorFlow Installation in Docker running ' import tensorflow as tf ', I get 'Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered,' and similar responses for cuDNN and cuBLAS. How do I fix this?

At the Windows GPU installation, " import tensorflow as tf," you have to downgrade "numpy" to version 1.

Great Video Sir!!

Hi everyone ! TY for the tuto 🙂 If the hello-world dont work for you (like me), try this ! sudo update-alternatives --config iptables Enter 1 to select iptables-legacy sudo service docker start, and Docker will start as expected! You can now see [OK] at the end of the line 😉

someone please send the solution

motion study is not working in my case it gives this message: Warning: Cannot resolve some component positions because there are conflicts with assembly relationships in the design. Inspect existing joints, rigid groups, ground to parent, or tangent relationships.

Thanks for sharing

Well, I almost got it. I was able to replicate your spreadsheet using the formulas you provided into my desktop computer spreadsheet software. However, I do not know how to make the spreadsheet manufacture the points in a chart. Therefore when I imported the numbers into Fusion it said, "No valid points". Got pretty exciting there for a minute.

Wow! That was fantastic! Definitely will try this out. Thanks for posting.

Great tutorial! I ended up making the slot for the slider inside of the base using offset, cut extrusions. Don't ask me why; my brain just went in that direction. Ended up with the same results. Never used a motion study before, so that was very useful. Thanks for posting; much appreciated.

the only tutorial that worked for me

I've spent literally the whole day trying to get a working version of TF set up on my PC after Google withdrew the free colab GPU support. This video has been a lifesaver! Thank you so much for taking the time to make it!

Do you have the commands that you are typing to install ternsorflow ? I am to blind to see anything :(

I have followed the steps up to minute 11:16 but there is a problem at step minute 11:16 I can't import tensorflow as ft on gpu. Module Import Failure: The error occurred while importing TensorFlow modules. Specifically, TensorFlow attempted to use _pywrap_bfloat16.TF_bfloat16_type(), which is likely related to the bfloat16 data type. Python Version Compatibility: The error suggests that TensorFlow is having trouble converting a function return value to a Python type, indicating an issue with compatibility between TensorFlow, Python, or the environment setup (e.g., CUDA/cuDNN versions if using a GPU). Environment Issue: If you are using a GPU, the error might stem from an incompatible CUDA version or missing dependencies. Help Me Tn.

Man you just saved my degree in 20 minutes, thank you so much!

Thank you for you sharing this video. Every thing worked well and the same as you showed in this tutorial, but the "import tensorflow as tf" resulted in an error. file"c:......pywarp_tensorflow.py" line 70 in <module>... import error: Dll load failed while importing _pywrap_tensorflow_internal: a dynamic link library (DLL) initializiation routine failed.....

If it is input(print( tf.config.list_physical_devices('GPU')) ) it comes empty( [] ). What is the reason?

great tutorialx, this channel deserver more subs, keep posting and you channel gonna big, greetings from indonesia

Hi Dustin first thank you for a logical step by step video listing different methods in one video. Question: did you add any paths to the Enviroment Variables in Windows ? thanks again 👌

Hi Mr. Your fusion 360 tutorial is very easy to understand and I really really like these tutorials. Wonder if you can do more of these? I am starting to get interested in watch movements and also mechanical sculpture. Watching your tutorial I feel like it's really possible for me to dive into 3D printing mechanical gears and links.

You are a wizard, Man! That's the simple and full installation guides, that are so necessary for beginners, like me!👍👍👍

Great video! Can I install TF in a venv on cmd prompt instead of conda?

Thank you so much, you saved me HAHAHAH

Thank you so much, I was struggling for 2 days before I found your tutorial.

what will be the DOF of this and how many joints in this ?

Explained using Multiple methods, Is the best part for me.

Thanks alot.. would have preferred if the video was a little bit clearer.. although it was very helpful and precise..

Thank you very much for your guide! It helped me a lot to set up the latest tensorflow gpu version in windows. Finally my GPU is showing up when importing tensorflow.👍 However, I'm getting 3 warnings, saying "Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered" and 2 mores similar messages with cuDNN and cuBLAS. Have you ever encountered such messages?

I have got all the installation done. how can i use it from jupyter notebook?

I followed all these steps for CPU and GPU and I am still getting errors when I try to import tensorflow :(

I am extremely new to this space. I just started neural networks and my processing times in google colab has been humungous. I figured its because its not using my gpu eventhough i use the t4gpu runtime. So i went with this tutorial and downloaded the docker and completed every step and it works. But how can I now use my jupyter notebook file?

Thank you! That's the only tutorial that worked for me. However, I just wanna know if it is possible to run VScode in the method3/docker.

i have a laptop with intel iris xe graphics, integrated gpu can i run tensorflow?

i have a laptop with intel iris xe graphics, integrated gpu

When I implement motion link between the gear, everything revolves around the larger gear. As far as I know I followed all the instructions correctly. If I preview the larger gear's motion separately then turn correctly.

awesome video. thank you a lot

Why did you use python version 3.9 for the windows for tensorflow installation?

Which is the best method among these 3?

Is this gear parametric? Can I modify it by changing the variables? There was a constant on the tooth design and also the profile is being imported as a constant.

thats sad caz many new lib req new version of tensorflow or keras , btw it worked . tq sir!

oneDNN custom operations are on. You may see slightly different results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2024-06-22 21:19:41.593155: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. TensorFlow Version: 2.16.1 2024-06-22 21:19:45.398512: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. GPU device: can ypu solve this problems plz

its cpu version

After doing this, can i use tensorflow in jupyter lab?

after installing tensorflow gpu how to access it from the jupyter notebook as there is jupyter pre install in my pc through ananconda and in same command line i installed tensorflow but i was anable to get it on my jupyter notebook how to do it please help me out

I truly appreciate it.

Install tensorflow Bible thank you!🎉 Method 3 help me a lot

thank you