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Nvidia has the ancient old control panel for basic settings and gforce experience for other stuff like recording. Please can someone tell me work of shape [0] and shape [1] I wanted to open the amd overlay to turn on instant replay and check my games frames

I pressed alt + r to open it as usual In python shape [0] returns the dimension but in this code it is returning total number of set After a couple more tries still nothing happened

Then i tried to open through looking it up on the windows search bar

When i clicked on it, the cursor started loading something for a couple of seconds, but then nothing happened Then i went into the. So i installed radeon software with the gpu drivers to check that everything was fine Now radeon software opens at startup and it's also hard to close it (only way is killing the process i think), but do i need it

Should i keep it always on for some reason? C:\program files\amd locate that folder, once you see the folder open and find the.exe file , right click and send shortcut to desktop I woke up to a missing amd graphic driver and software for my rog ally yesterday and like to share how i got it working again For some reason microsoft updates overrides the z1 extreme driver and my keyboard stop popping up on mine

No matter how many time i’ve resets the device

There’s some settings and installation you’ll need to get it working again. This discussion is for community members to share their experience using amd software adrenalin edition 24.7.1 For the full driver release notes and download I constantly find myself on the amd support page that tells me to get the windows 10/11 drivers and that it will install the amd software

It then opens the amd software installer, this scans my lego for a bit, then it opens the chipset installer. Note, when getting ready to install amd software It seems, however, that to enable the rsr option in command center you need to have amd adrenaline app first, set rsr on there, then set it in command center In some of the videos there is an indicator that the device is upsampling from 720p to 1080p, but again their devices have the amd app

So how do we install the app?

Ok so for anyone who had the same issue i had and lost the adrenaline software when messing with drivers You can reinstall through the microsoft store but have to go through your browser. Doug jones is a very humble man Maybe it's a result of spending much of his acting career in intricate makeup, prosthetics, and digital costuming

Perhaps humility is just built into the indiana native's midwestern dna Shape is a tuple that gives you an indication of the number of dimensions in the array So in your case, since the index value of y.shape[0] is 0, your are working along the first dimension of your array. (r,) and (r,1) just add (useless) parentheses but still express respectively 1d and 2d array shapes, parentheses around a tuple force the evaluation order and prevent it to be read as a list of values (e.g

82 yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple

And you can get the (number of) dimensions of your array using yourarray.ndim or np.ndim() You can think of a placeholder in tensorflow as an operation specifying the shape and type of data that will be fed into the graph.placeholder x defines that an unspecified number of rows of shape (128, 128, 3) of type float32 will be fed into the graph A placeholder does not hold state and merely defines the type and shape of the data to flow. I'm new to python and numpy in general

I read several tutorials and still so confused between the differences in dim, ranks, shape, aixes and dimensions My mind seems to be stuck at the matrix The gist for python is found here reproducing the gist from 3 From onnx import shape_inference inferred_model = shape_inference.infer_shapes(original_model) and find the shape info in inferred_model.graph.value_info

You can also use netron or from github to have a visual representation of that information.

I'm creating a plot in ggplot from a 2 x 2 study design and would like to use 2 colors and 2 symbols to classify my 4 different treatment combinations Currently i have 2 legends, one for the colo. So in line with the previous answers, df.shape is good if you need both dimensions, for a single dimension, len() seems more appropriate conceptually Looking at property vs method answers, it all points to usability and readability of code.

Is it possible to add a drop shadow to a custom shape in android After looking through the documentation, i only see a way to apply a text shadow I've tried this with no luck

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