Benjamin Ballintyn
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GPU memory build up from multiple mex calls in loop
Hi, I am having memory problems when repeatedly calling the mex version (generated using GPU Coder) of the following function (...
4 years 前 | 0 个回答 | 0
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Writing data from GPU
Hi, I am trying to find the fastest way to write data to a binary file (currently using fwrite), from within a function that ge...
5 years 前 | 1 个回答 | 0
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Specifying gpuArray input for codegen
Okay, I was able to fix this problem by getting gpucoder to produce the code that the app used to compile my function. Install ...
Specifying gpuArray input for codegen
Okay, I was able to fix this problem by getting gpucoder to produce the code that the app used to compile my function. Install ...
5 years 前 | 1
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Specifying gpuArray input for codegen
Hi, I am trying to accelerate some simulation code I have using my GPU. I am trying to do this by first creating a bunch of gpu...
5 years 前 | 1 个回答 | 1
1
个回答已回答
The class names of layer must match the class names of the validation/training data
After a little more playing around, I believe this is a bug. I tried to train with a dataset Xtr and received the above error. T...
The class names of layer must match the class names of the validation/training data
After a little more playing around, I believe this is a bug. I tried to train with a dataset Xtr and received the above error. T...
5 years 前 | 1
已回答
Error : The prediction sequences are of feature dimension 1 but the input layer expects sequences of feature dimension 4
What are the sizes of each input datapoint in XTest?
Error : The prediction sequences are of feature dimension 1 but the input layer expects sequences of feature dimension 4
What are the sizes of each input datapoint in XTest?
5 years 前 | 0
提问
The class names of layer must match the class names of the validation/training data
Hi, I am trying to train a bi-directional lstm (although I have had the same issue with normal lstms) to do sequence-to-sequenc...
5 years 前 | 2 个回答 | 1