updates + format

This commit is contained in:
Awni Hannun
2023-12-14 12:09:10 -08:00
parent 29b7a97342
commit b1b9b11801
4 changed files with 55 additions and 56 deletions

View File

@@ -4,13 +4,15 @@ import math
def get_cifar10(batch_size, root=None):
tr = load_cifar10(root=root)
num_tr_samples = tr.size()
mean = mx.array([0.485, 0.456, 0.406]).reshape((1, 1, 3))
std = mx.array([0.229, 0.224, 0.225]).reshape((1, 1, 3))
def normalize(x):
x = x.astype("float32") / 255.0
return (x - mean) / std
tr_iter = (
tr.shuffle()
.to_stream()
@@ -18,22 +20,11 @@ def get_cifar10(batch_size, root=None):
.pad("image", 0, 4, 4, 0.0)
.pad("image", 1, 4, 4, 0.0)
.image_random_crop("image", 32, 32)
.key_transform("image", lambda x: (x.astype("float32") / 255.0))
.key_transform("image", lambda x: (x - mean) / std)
.key_transform("image", normalize)
.batch(batch_size)
)
test = load_cifar10(root=root, train=False)
num_test_samples = test.size()
test_iter = (
test.to_stream()
.key_transform("image", lambda x: (x.astype("float32") / 255.0))
.key_transform("image", lambda x: (x - mean) / std)
.batch(batch_size)
)
num_tr_steps_per_epoch = num_tr_samples // batch_size
num_test_steps_per_epoch = num_test_samples // batch_size
test_iter = test.to_stream().key_transform("image", normalize).batch(batch_size)
return tr_iter, test_iter