r2c | Recognition to Cognition Networks | Computer Vision library
kandi X-RAY | r2c Summary
kandi X-RAY | r2c Summary
Recognition to Cognition Networks (code for the model in "From Recognition to Cognition: Visual Commonsense Reasoning", CVPR 2019)
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Top functions reviewed by kandi - BETA
- Transformer transformer model
- Attention layer
- Apply dropout to input tensor
- Get the shape of a tensor
- Build a function for TPUEstimator
- Get sequence output
- Gather indices from a sequence of positions
- Gets a layer - wise LMM output
- Print training parameters
- Create training instances
- Takes a data_fn and iterates over the answers
- Gathers the elements of the given alignment
- Tokenize a string
- Save checkpoint
- Creates attention mask from input tensors
- Embed word embedding
- Create a BertModel
- Embedding postprocessor
- Convert examples to features
- Write examples to examples
- Builds input function
- Clip the gradients of a named parameter
- Creates an optimizer
- Restore checkpoint from serializer
- Tokenize text
- Forward a set of images
r2c Key Features
r2c Examples and Code Snippets
Community Discussions
Trending Discussions on r2c
QUESTION
Found below script online for syncing Fitbit data with Google Sheets using apps script.
...ANSWER
Answered 2022-Feb-21 at 09:10Too many parameters here as prompt
is only expecting three parameters: title
, prompt
and buttons
:
QUESTION
I'm in the process of accelerating some data analysis code with GPU and am currently doing some profiling and comparisons between the numpy.fft library and cuFFT (using the skcuda.fft wrapper).
I'm certain I'm just missing something obvious about the FFT implementation in cuFFT, but I'm struggling to find what it is in the cuFFT documentation.
To setup the problem I create 500 ms of data sampled at 100 MS/s with a few spectral components. Then, I declare the GPU arrays, the cufft plan (R2C) and run the fft with a subset of the data. Finally, I have a comparison with numpy.fft.rfft:
...ANSWER
Answered 2021-Dec-07 at 09:28I haven't yet found an explanation of the cufft
output, but I can get the behaviour I want with cupyx.scipy.fft.rfft, which might be useful if anyone else finds the same problem.
QUESTION
I have done many loops before, but for some reason, this one doesn't work. I want to find all the Excel files in a folder that begin with "vip" and run another macro. That second macro does many things and saves the file in another folder (hence why when the loop ends, I kill all the remaining files).
The issue is when I run the loop, the first files is found, the second macro is run, but when it loops, it can't find the second file. I did a version with a counter but that didn't really work. The counter could find the three files I needed to run the macro on, but the same issue happened when starting the loop for the second macro, it would find the first file, and the second would not be found. I even tried a version that opened all Excel files in a loop, using a IF statement to find which ones to run the macro on and which to simply close, but I ran into the exact same issue as the other two versions.
So basically, it finds the first file, does what it has to, loops and then gives me the Error 1004 message, where the folder might have been moved, renamed or deleted. I'm stumped.
Thanks for your help!
Here is my code (sorry for the French statements, but you should understand what the code does anyway!):
...ANSWER
Answered 2021-Aug-16 at 21:59Try moving your subroutine call outside the Dir
loop.Also pass filename to sub.
QUESTION
I have the count working fine as below:
...ANSWER
Answered 2020-Sep-11 at 12:28Please, try it in this way:
QUESTION
I have hundreds of columns (fixed) and a varying number of rows depending on the data pull. I have a code which inputs a totals formula in last row plus one. This works well. But I have so many columns I need to sum. Say every column in Range H:EA needs a sum total.
I need a more efficient formula than below, but I am unsure where to turn:
...ANSWER
Answered 2020-Sep-04 at 12:17You can use Range.Resize
to write the formula to multiple columns in one step:
QUESTION
I'm new to vba. I am trying to execute a Macro which will work in different sheets. (Each sheet has a data table).
Select a specific column in Dynamic table (which exists in all seven sheets) and calculate in one cell after the last cell in the table (of the specific column) the sum of the cells in the column.
I searched in the site a lot, But I do not exactly understand. I would appreciate any help
...ANSWER
Answered 2020-Jul-30 at 14:32As @GMalc said - loop through all the worksheets. A worksheet is part of the worksheets collection and you can loop through collections:
QUESTION
Please note: I have only started coding with Python since very recently and am not very acquainted with phrasing, so I do not have any idea on whether this question is a duplicate or not.
I was trying to make my programme run quicker. Here is a portion of it:
...ANSWER
Answered 2020-Jun-27 at 17:08Use python's multiprocessing module and use multiple cores of your CPU.
QUESTION
The dictionary consists of row-column-keys. Some rows have only one column (r1c1) while others have more (r5c1,r5c2,r5c3...). I would like to count the keys (and so the columns) of every row.
...ANSWER
Answered 2020-Mar-30 at 10:11This kind of assumes that all the original keys are in the form rc
but assuming that they are, you could do
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install r2c
Get the dataset. Follow the steps in data/README.md. This includes the steps to get the pretrained BERT embeddings. Note (as of Jan 23rd) you'll need to re-download the test embeddings if you downloaded them before, as there was a bug in the version I had uploaded (essentially the 'anonymized' code didn't condition on the right context).
Install cuda 9.0 if it's not available already. You might want to follow this this guide but using cuda 9.0. I use the following commands (my OS is ubuntu 16.04):
Install anaconda if it's not available already, and create a new environment. You need to install a few things, namely, pytorch 1.0, torchvision (from the layers branch, which has ROI pooling), and allennlp.
If you don't want to download from scratch, then download my checkpoint.
That's it! Now to set up the environment, run source activate r2c && export PYTHONPATH=/home/rowan/code/r2c (or wherever you have this directory).
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