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

701 questions
-1
votes
1 answer

How to convert mxnet.ndarray.ndarray.NDArray to a scalar?

I got a weird object that shows like this... type(l.sum()) l.sum() This is what it outputs: [83.32651] I want to convert it to a scalar but no matter how I try it stays as…
Anonymous
  • 4,692
  • 8
  • 61
  • 91
-1
votes
1 answer

AttributeError: 'NDArray' object has no attribute 'ravel' or 'tolist'

I am working with a massive NDArray and am trying to recurse over each individual integer within this nested array. The NDArray, called box_ids, looks like this: [[[-1.] [-1.] [-1.] ... [-1.] [-1.] [-1.]]] and when I write for ids in…
cbnnbc
  • 35
  • 3
-1
votes
1 answer

How to optimal when run multiple deep learning model on GPU

I'm building the system that handle five streams concurrently. I'm facing the problem when I run multiple deep learning model in order to handle those streams then speed down very much. So, if you are used to design the system as so. Please comment…
-1
votes
1 answer

How to delete a element to mxnet NDArray?

In numpy, one can delete an element in an array by using numpy.delete(). Now I use mxnet ndarray to calculate data, but I have got a problem. How can I delete an element for the mxnet ndarray ?
-1
votes
1 answer

Using multiprocessing in custom operators

In the code of custom operators, I have such lines: for i in xrange(batch_size): numpy.XXX for better performance, I use multiprocessing. But it's stuck.
joke
  • 43
  • 2
  • 5
-1
votes
1 answer

How to trian the model provided by gluoncv on my own image dataset?

The repository is https://github.com/qubvel/segmentation_models. I am doing the semantic segmentation task. Could anybody please share me a demo?
-1
votes
1 answer

Mxnet C++ prediction vs Python

We are mainly using C++ and want to use Mxnet. I found some discussion that C++ prediction or future extraction slower than Python version ? Is there any experienced Mxnet C++ engineers to expedite this subject including the a decent way to using…
2adnielsenx xx
  • 488
  • 1
  • 5
  • 22
-1
votes
1 answer

Python Stopped Working on switiching to GPU context

I am trying to setup my machine learning environment on AWS as follows :- OS: windows server 2012 r2 , 64 bit instance: p2.xlarge GPU : Tesla K80 series CUDA: 9.2.148 Graphis driver: 398.26 (installed by cuda toolkit) python : 3.5 ( tested using…
birubisht
  • 890
  • 8
  • 16
-1
votes
1 answer

Is it possible to reuse GPU's memory when training a network with MxNet?

Is it possible to reuse GPU's memory when training a network? I am following the official instructions to build an SSD (https://gluon-cv.mxnet.io/build/examples_detection/train_ssd_voc.html#sphx-glr-build-examples-detection-train-ssd-voc-py) When I…
Blue Bird
  • 318
  • 2
  • 9
-1
votes
2 answers

Is there any way to preserve the internal variables of a trainer in MxNet?

I wrote a program which contains an algorithm called distributed randomized gradient descent (DRGD). There are some internal variables in the algorithm which are used to calculate the step lengths. The training algorithms should be much complex than…
Blue Bird
  • 318
  • 2
  • 9
-1
votes
1 answer

How to create a 3D convolutional neural network using mxnet?

I have a folder containing files with 11*11*21 3D data and I am trying to do a binary classification with a 3D convolutional neural network. I only found the tutorial for the 2D convolutional NN on the gluon tutorials and I am not sure what things…
accAscrub
  • 609
  • 1
  • 6
  • 11
-1
votes
1 answer

Gluon MXNet error when forward with LSTMCell

Using mxnet 1.1, When I try to run net(data) on the following network: net = gluon.nn.HybridSequential() with net.name_scope(): net.add(gluon.nn.Embedding(input_dim=MAX_EVENT_INDEX + 1, output_dim=EMBEDDING_VECTOR_LENGTH)) …
user3644809
  • 21
  • 1
  • 4
-1
votes
1 answer

Training data worse than testing data

I am trying to set up a neural network using Gluon and mxnet to implement the fizzbuzz program. However, it is giving me a weird result; the accuracy of the training data(35-42%) is significantly worse than the accuracy of the testing data(97-99%).…
-1
votes
1 answer

getting unsatisfiable error while installing mxnet on windows. I am using ANACONDA 5.1.0 VERSION AND PYTHON 3.5.3 VERSION

I wanted to install MXNET using commands conda install -c anaconda mxnet and conda install mxnet, but I am getting unsatisfiable error as show in images. 'conda install -c anaconda mxnet': 'conda install mxnet':
m96
  • 15
  • 2
-1
votes
1 answer

Is there any license requirement using mxnet model zoo?

I think Models listed on https://mxnet.incubator.apache.org/model_zoo/ is free to use as basis of fine tuning. Am I right? Is there any license problem or condition using these models (VGG16,ResidualNet152,etc)
Yasu
  • 1
  • 1
1 2 3
46
47