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import mxnet as mx
from mxnet.gluon import nn


def simple_forward():
    ctx = mx.gpu()
    mx.profiler.set_config(profile_all=True)
    mx.profiler.set_state('run')

    # define simple gluon network with random weights
    net = nn.Sequential()
    net.add(nn.Dense(128, activation='relu'))
    net.add(nn.Dense(64, activation='relu'))
    net.add(nn.Dense(10))
    net.initialize(mx.init.Xavier(magnitude=2.24), ctx=ctx)

    input = mx.nd.zeros((128,), ctx=ctx)
    predictions = net(input)
    print('Ran simple NN forward, results:')
    print(predictions.asnumpy())


if __name__ == '__main__':
    simple_forward()