sf-tensor
Minimal start of a Python package for functionality related to the services offered by SF Tensor. This will include functionality to interact with SF Tensor's API endpoints for metric logging and more.
Updates will arrive in the next days and weeks ;)
Installation
Install with:
pip install sf-tensor
Usage
from sf_tensor import logAccuracy
import torch
from torch import nn
model = nn.Sequential(nn.Linear(4, 2))
opt = torch.optim.SGD(model.parameters(), lr=0.1)
loss_fn = nn.CrossEntropyLoss()
x = torch.randn(64, 4)
y = torch.randint(0, 2, (64,))
for _ in range(5):
opt.zero_grad(); o = model(x); (loss_fn(o, y)).backward(); opt.step()
logAccuracy((o.argmax(1) == y).float().mean().item())
1 maintainer
Metadata
1 maintainer
Release files for sf-tensor 0.0.1
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| File | Size | Uploaded | Provenance | Actions |
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| sf_tensor-0.0.1.tar.gz | 2.2 kB | Without provenance | Details for sf_tensor-0.0.1.tar.gz |
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sf_tensor-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for sf_tensor-0.0.1-py3-none-any.whl |
Total release size: 5.8 kB
Release files / sf_tensor-0.0.1.tar.gz
| Download URL | sf_tensor-0.0.1.tar.gz |
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| Size | 2.2 kB |
| Tags | Source |
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Release files / sf_tensor-0.0.1-py3-none-any.whl
| Download URL | sf_tensor-0.0.1-py3-none-any.whl |
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| Size | 3.7 kB |
| Tags | Python 3 |
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