This release is a pre-release and may not be stable for production use.
NPU Python Client Package
To install, run:
pip install npu
To use in code:
import npu
This library has four core functions. npu.api, npu.compile, npu.train, npu.predict Here is an example script of them in use.
import npu
from npu.vision.models import resnet18
from npu.vision.datasets import CIFAR10
npu.api(API_KEY)
model = npu.train(resnet18(pretrained=True),
train_data=CIFAR10.train,
val_data=CIFAR10.val,
loss=npu.loss.CrossEntropyLoss,
optim=npu.optim.SGD(lr=0.01),
batch_size=128,
epochs=2)
output = npu.predict(model, data)
Full documentation is here
1 maintainer
Metadata
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Release files for neuro 0.4.dev4
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| Download URL | neuro-0.4.dev4.tar.gz |
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