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Questions tagged [mxnet]

Apache MXNet is a fast, scalable, open source deep learning framework that supports Python, R, Scala, C++, Julia, Go, and Javascript. MXNet can run on multiple CPUs and multiple GPUs distributed across multiple hosts, with almost linear scalability.

Apache MXNet: Flexible and Efficient Library for Deep Learning

For more details see http://mxnet.io/

Flexible

Supports both imperative and symbolic programming

Portable

Runs on CPUs or GPUs, on clusters, servers, desktops, or mobile phones

Multiple Languages

Supports over 7 programming languages, including C++, Python, R, Scala, Julia, Matlab, Javascript and Perl.

Auto-Differentiation

Calculates the gradient automatically for training a model

Distributed on Cloud

Supports distributed training on multiple CPU/GPU machines, including AWS, GCE, Azure, and Yarn clusters

Performance

Optimized C++ backend engine parallelizes both I/O and computation

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PC power down if batch size is increases beyond 18 on a 4 GPU machine.

I have 4 NVIDIA 1080 GPUs (11GB each), 128GB RAM , and I am using a 1600w EVGA supernova P2 power supply in my lab. I am new to deep learning. I want to get a sense of what is normal behaviour during training in terms of the hardware. I have 70000…
GhostRider
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mxnet multicore on LInux in R

Follwoing works fine on windows although throws error on Linux core <- 5 ctx <- lapply(c(1:core), function(i) {mx.cpu(i)}) The model function is "mx.model.FeedForward.create" The error is "Error in (function (symbol, ctx, grad.req = "null", ...) :…
Shiv
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In mxnet, how is the derivative of 2x^2 equal to 4x when x is a matrix?

I am learning about Apache MXNet and I have encountered the following simple example: https://mxnet.apache.org/versions/1.9.1/api/python/docs/tutorials/getting-started/crash-course/3-autograd.html Specifically, this tutorial contains the following…
firstname gklsodascb
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BatchNormalization layer constructing

I'm trying to setup a BatchNormalization layer in C++. The code as I have it looks like this: mx::Symbol loadBatchNormalization(mx::Symbol previous, std::istream &file, const std::string &name, const Shape &inputShape, const Shape &outputShape,…
iamacomputer
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How to test neural network on entire testset using mxnet's dataset object?

I have trained a 3D convnet using mxnet. I saved the network architecture and parameters with an intention of testing more data with it to check its performance. Since I am not training, I do not want to obtain batches of the dataset. How do I get…
accAscrub
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Error: Could not find or load main class pirates.App Caused by: java.lang.ClassNotFoundException: pirates.App (scala)

I already added in pom.xml but when run the program it produce error " couldn't load main class? code: https://github.com/ali2210/Mxnet reference: https://mxnet.incubator.apache.org/tutorials/scala/mxnet_scala_on_intellij.html
Ali Hassan
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What are the benefits of developing chatboat using MxNet rather than API.AI (DialogFlow), LUIS, WIT.AI or any other AI framework?

I want to develop own chatbot for my retail store project. I have checked different frameworks like API.AI (DialogFlow), LUIS, WIT.AI and Whatsan virtual agent. But I also come across MXNet. So if I develop my own chatbot using MxNet then what will…
Rajesh N
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CUDA Ignore Error, Check failed: e == cudaSuccess: CUDA: initialization error

enter image description here This problem always seems to occur between two cross validation, reloading the model to the GPU
louris
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MXNet Gluon Regression Custom Dataset

ist there a code example on how to do linear regression on a custom image dataset? I have only found examples using the CIFAR dataset...
Sebastian Pobaschnig
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ValueError : too many values to unpack

I dont understand the following code. when im executing it is giving the value error too many values to unpack train_data=[data, Label] print train_data for data, Label in train_data: print data print Label output [array([[23., 114.,…
Vijay Prabakaran
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AttributeError: module 'mxnet' has no attribute 'io'

trying to run this project and got an error when typing: python demo.py --gpu 0 on my terminal the error: Using mxnet as: Warning: using pre-installed version of mxnet may cause unexpected…
dark.o
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