Make HyperTile deterministic

This commit is contained in:
asagi4 2023-12-06 21:12:49 +02:00
parent 2db86b4676
commit 03eadbb53c
1 changed files with 6 additions and 9 deletions

View File

@ -2,9 +2,10 @@
import math
from einops import rearrange
import random
# Use torch rng for consistency across generations
from torch import randint
def random_divisor(value: int, min_value: int, /, max_options: int = 1, counter = 0) -> int:
def random_divisor(value: int, min_value: int, /, max_options: int = 1) -> int:
min_value = min(min_value, value)
# All big divisors of value (inclusive)
@ -12,8 +13,7 @@ def random_divisor(value: int, min_value: int, /, max_options: int = 1, counter
ns = [value // i for i in divisors[:max_options]] # has at least 1 element
random.seed(counter)
idx = random.randint(0, len(ns) - 1)
idx = randint(low=0, high=len(ns) - 1, size=(1,)).item()
return ns[idx]
@ -42,7 +42,6 @@ class HyperTile:
latent_tile_size = max(32, tile_size) // 8
self.temp = None
self.counter = 1
def hypertile_in(q, k, v, extra_options):
if q.shape[-1] in apply_to:
@ -53,10 +52,8 @@ class HyperTile:
h, w = round(math.sqrt(hw * aspect_ratio)), round(math.sqrt(hw / aspect_ratio))
factor = 2**((q.shape[-1] // model_channels) - 1) if scale_depth else 1
nh = random_divisor(h, latent_tile_size * factor, swap_size, self.counter)
self.counter += 1
nw = random_divisor(w, latent_tile_size * factor, swap_size, self.counter)
self.counter += 1
nh = random_divisor(h, latent_tile_size * factor, swap_size)
nw = random_divisor(w, latent_tile_size * factor, swap_size)
if nh * nw > 1:
q = rearrange(q, "b (nh h nw w) c -> (b nh nw) (h w) c", h=h // nh, w=w // nw, nh=nh, nw=nw)