已回答
YoloV4 - Out of memory
Generally the best solution here is to reduce the size of the input data. Still, these object detector networks do seem to be...

2 years 前 | 1

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Why is my GPU code faster with the profiler on in RTX GPUs?
This is due to an optimization which is not performing ideally under memory pressure. If you reduce the size of your input you'l...

2 years 前 | 0

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Conflicting behaviour of arrayfun() with gpu: example that works and example of error
The function normcdf isn't supported by GPU arrayfun because it accepts varargin. For a list of supported functions see the docu...

2 years 前 | 0

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How to initialize a string variable, and pass it to the matlab function using GPU coder
MATLAB and Simulink code generation do not currently support string. Edit: Sorry, my bad, it does support scalar strings, but n...

2 years 前 | 0

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need to plot the accuracy vs epoch graph
Add Plots="training-progress" to your training options. FWIW, you shouldn't use ReadFcn for resizing images, it dramatically sl...

2 years 前 | 1

已回答
Update BatchNorm Layer State in Siamese netwrok with custom loop for triplet and contrastive loss
Interesting question! The purpose of batch norm state is to collect statistics about typical inputs. In a normal Siamese workflo...

2 years 前 | 0

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gpu arrayfun don't support linspace or NaN array
You cannot create an array inside a call to GPU arrayfun, only scalars.

2 years 前 | 0

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GPU Support for RTX 4090
Forgive me for needing to correct Walter, but the last three versions of MATLAB _will_ natively support the 4000 series because,...

2 years 前 | 2

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mexcuda gives unsupported GNU version error
R2022a uses CUDA 11.2, not 11.7. I suspect that the actual compiler that ends up being used is the version of nvcc shipped with ...

2 years 前 | 0

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GPU speed up for pcg() is disappointing
I'm guessing LL' is extremely dense, which will explain why the solver stalls. On the GPU the preconditioning is (currently) per...

2 years 前 | 0

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How to implement Siamese network with the two subnetworks not share weights
You can try gathering the weights back from each network after you've used it, as in net = dlupdate(@gather,net). This should sa...

2 years 前 | 0

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Speed up inference or/and training of a 3D deep neural network (U-net) for a regression task
Have you tried using dlaccelerate? As well as ensuring any Custom Layers are using the Acceleratable mixin?

2 years 前 | 1

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已回答
Matrix multiplication optimization using GPU parallel computation
The Windows Task Manager lets you track GPU utilization and memory graphically, and the utility nvidia-smi lets you do it in a t...

2 years 前 | 1

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How to increase MiniBatchSize
It depends on what you're doing. Some ideas: * Get a new GPU with more memory * Use a smaller model * If your model accepts...

2 years 前 | 0

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Matlab trainNetwork CNN training pauses iterating intermittently at random then continues
Is the pause associated with a validation measurement being added to the training plot? With 7 times as much validation data it ...

2 years 前 | 0

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problems with @arrayfun on GPU
This is a bug. I have reported it. Thanks for finding it! In the meantime, you can work around the issue by using a local funct...

2 years 前 | 0

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已回答
A problem when using "multi-gpu" as "ExecutionEnvironment" for training a CNN
Most likely this is this issue, which is fixed in the latest update to R2022a. You can also try downgrading your GPU drivers.

2 years 前 | 0

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Perform mldivide between 3x3 matrix M and every RGB pixel in a image in GPU
I feel like I'm missing something - this is just a single backslash with multiple right-hand sides, or to avoid permutation a si...

2 years 前 | 1

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Library not loaded: @rpath/libcudart.10.2.dylib
This problem should now be fixed at Apple, please reboot and report here if you are still experiencing issues.

2 years 前 | 0

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Warning: GPU is low on memory
A 3-D U-net is a very large model. Try reducing |patchSize|, |patchPerImage|, |miniBatchSize| and |inputSize|.

2 years 前 | 0

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已回答
How to run lane detection optimized with GPU coder project on matlab
https://www.mathworks.com/help/gpucoder/ug/lane-detection-optimized-with-gpu-coder.html

2 years 前 | 0

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why this Warning message occur: Support for GPU devices with Compute Capability 5.0 will be removed in a future MATLAB release? how can fix it?
warning("off","parallel:gpu:device:DeviceDeprecated");

2 years 前 | 0

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Dedicated GPU Memory Usage - Permanently increases every time code is run
This error means you ran out of GPU memory. I can't reproduce any sort of memory leak in R2022a. It's possible that you are perm...

2 years 前 | 1

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minibatchqueue function cannot generate the expected MiniBatchSize
You've asked your arrayDatastore to iterate over the rows because that's the default. So as far as arrayDatastore is concerned, ...

2 years 前 | 1

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已回答
RTX 3090 vs A100 in deep learning.
According to the spec as documented on Wikipedia, the RTX 3090 has about 2x the maximum speed at single precision than the A100,...

2 years 前 | 0

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GPUCoder does not generate parallelized code
This looks about right to me, because your kernel is too simple and you're transferring data from and to the CPU on every call. ...

2 years 前 | 1

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Can I run custom Matlab function or gpuArray on another GPU?
You can use parallel syntax to process other arrays on other GPUs at the same time, or to process some data on the CPU at the sa...

2 years 前 | 0

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How can run and upload my Deep Learning model in cloud?
<https://uk.mathworks.com/help/deeplearning/ug/deep-learning-in-the-cloud.html Start here>

2 years 前 | 0

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已回答
Error in minibatchqueue (line 290) numVariables = numel(getPreviewFromDatastore(originalDatastore));
Make sure the accompanying file augmentDataForLD2HDCT.m that comes with this example is on the path when you run your code.

2 years 前 | 0

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已回答
Reorganizing current data structure in order to take advantage of GPU
Evidently with your nested structure you are not required to have uniform data - every element at each level can have a differen...

2 years 前 | 1

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