Start the python terminal.
$ python
Run a short MXNet python program to create a 2X3 matrix of ones, multiply each element in the matrix by 2 followed by adding 1. We expect the output to be a 2X3 matrix with all elements being 3.
>>> import mxnet as mx >>> a = mx.nd.ones((2, 3)) >>> b = a * 2 + 1 >>> b.asnumpy() array([[ 3., 3., 3.], [ 3., 3., 3.]], dtype=float32)
This is similar to the previous example, but this time we use mx.gpu(), to set MXNet context to be GPUs.
>>> import mxnet as mx >>> a = mx.nd.ones((2, 3), mx.gpu()) >>> b = a * 2 + 1 >>> b.asnumpy() array([[ 3., 3., 3.], [ 3., 3., 3.]], dtype=float32)
Please contribute an example!
Please contribute an example!
Please contribute an example!
Start the pdl2 terminal.
$ pdl2
Run a short MXNet Perl program to create a 2X3 matrix of ones, multiply each element in the matrix by 2 followed by adding 1. We expect the output to be a 2X3 matrix with all elements being 3.
pdl> use AI::MXNet qw(mx) pdl> $a = mx->nd->ones([2, 3]) pdl> $b = $a * 2 + 1 pdl> print $b->aspdl [ [3 3 3] [3 3 3] ]
Run a short MXNet R program to create a 2X3 matrix of ones, multiply each element in the matrix by 2 followed by adding 1. We expect the output to be a 2X3 matrix with all elements being 3.
library(mxnet) a <- mx.nd.ones(c(2,3), ctx = mx.cpu()) b <- a * 2 + 1 b
You should see the following output:
[,1] [,2] [,3] [1,] 3 3 3 [2,] 3 3 3
This is similar to the previous example, but this time we use mx.gpu(), to set MXNet context to be GPUs.
library(mxnet) a <- mx.nd.ones(c(2,3), ctx = mx.gpu()) b <- a * 2 + 1 b
You should see the following output:
[,1] [,2] [,3] [1,] 3 3 3 [2,] 3 3 3
Run the MXNet-Scala demo project to validate your Maven package installation.