28 questions
To sum vectors by weighing them with scalarsUse the variable number and chain to I wrote the following code.import numpy as npfrom chain import Variableimport chain.functions as Fa=np.array([10],[100]...
When I ran the following code, I got an error in a specific folder, which was very troublingimport chainerfrom chain import cudacuda.get_device(0).use()The error says CUDA is not set up, but I have co...
There is an error as per the title. python gpucuda cudnn chainPlease tell me the countermeasures.Due to the program configuration, I run del and process images, but I can't reduce the image size, redu...
Run Environment:Python 3, PyCharmI re-entered Anaconda because I needed a library relationship.PyCharm gets up when you run the code to cut out the acoustic feature according to the Readme.md of the m...
I am studying Deep Learning using Deep Learning's Chainer.In the process, I want to combine the two data, but I don't know how to do it.Specifically, def forward (x1, x2): h1 = F.relu(model.l1(x1)) h2...
I have a question about the chain.I want to load a learned NN model and get gradient information for each layer when I enter an image, but I am worried that I cannot implement it.The network is define...
I want to use tensorcore in the chain to speed up my learning.The environment is CUDA 9.0, cuDNN 7.2, chain 4.2, cupy 4.2 GPU:TITANVThe network is ResNet. (set to float16) If you perform learning unde...
Nice to meet you.This is my first time studying deep learning.Deep learning itself is a field I've never touched before, and I don't understand it at all.Assuming a certain EC site, I would like to le...
I want to know how to free up memory without restarting my PC.Is it possible to release memory with commands?I'm using two GPUs, and I want to keep one of them running.I don't want to restart or stop ...
I'm trying to make a self-encoder with Python using a Chainer.I wrote and executed the following code:class Autoencoder (Chain): def__init__(self): super().__init__() with self.init_scope(): self....
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