tinygrad
tinygrad
A minimal deep learning framework focused on beauty and minimalism. Every line must earn its keep.
Quick Reference
from tinygrad import Tensor, TinyJit, nn, dtypes, Device, GlobalCounters
# Tensor creation
x = Tensor([1, 2, 3])
x = Tensor.rand(2, 3)
x = Tensor.kaiming_uniform(128, 784)
# Operations are lazy until realized
y = (x + 1).relu().sum()
y.realize() # or y.numpy()
# Training context
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