var array = manager.ones(new Shape(1,3,2)) to create a NDArray with shape 1,3,2
var array = manager.randomUniform(0, 1, new Shape(1, 1, 4)) to create a random uniform NDArray
NDArray nd = manager.arange(1, 10).reshape(3, 3) to create a NDArray and reshape to 3x3
nd = nd.transpose() to transpose the NDArray
nd = nd.add(10) add 10 to final result
NDArray nd = manager.arange(5, 14) to create a NDArray from 5 to 14
nd = nd.get(nd.gte(10)) filter the value that are >=10
NDArray nd = manager.arange(1, 10).reshape(3, 3) to create a NDArray with shape 3x3
nd.set(new NDIndex(":, 1"), array -> array.mul(2)); Multiply the second column value by 2
type nd to show the result
Test the code, Download the template, Run it locally.
You can copy with the code snippet above to run inference with MXNet. You can also try to change the Model URL to run inference on PyTorch and TensorFlow:
PyTorch: Please select PyTorch in the engine selection dropdown and uncomment the second modelUrl.
TensorFlow: Please select TensorFlow in the engine selection dropdown and uncomment the third modelUrl.
Use Get Template to test the code in your local machine.