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February 2, 2017 14:19
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from singa import layer | |
from singa import net as ffnet | |
from singa import loss | |
from singa import device | |
from singa import tensor | |
# create the net | |
net = ffnet.FeedForwardNet(loss.SoftmaxCrossEntropy()) | |
net.add(layer.Conv2D('conv', 32, 5, 1, pad=2, (3, 32, 32))) | |
net.add(layer.Activation('relu')) | |
net.add(layer.MaxPooling2D('pool', 3, 2)) | |
net.add(layer.Flatten('flat')) | |
net.add(layer.Dense('dense', 10)) | |
net.load('checkpoint/step100') | |
dev = device.create_cuda_gpu() | |
net.to_device(dev) | |
x = tensor.from_numpy(image) | |
x.to_device(dev) | |
y= net.predict(x) |
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