Minor changes, add assets

ddpo_pytorch/assets/activities_v0.txt

@@ -0,0 +1,3 @@
+washing the dishes
+riding a bike
+playing chess

ddpo_pytorch/assets/common_animals.txt

@@ -0,0 +1,45 @@
+cat
+dog
+horse
+monkey
+rabbit
+zebra
+spider
+bird
+sheep
+deer
+cow
+goat
+lion
+tiger
+bear
+raccoon
+fox
+wolf
+lizard
+beetle
+ant
+butterfly
+fish
+shark
+whale
+dolphin
+squirrel
+mouse
+rat
+snake
+turtle
+frog
+chicken
+duck
+goose
+bee
+pig
+turkey
+fly
+llama
+camel
+bat
+gorilla
+hedgehog
+kangaroo

ddpo_pytorch/diffusers_patch/pipeline_with_logprob.py

@@ -1,6 +1,8 @@
 # Copied from https://github.com/huggingface/diffusers/blob/fc6acb6b97e93d58cb22b5fee52d884d77ce84d8/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
 # with the following modifications:
-# -
+# - It uses the patched version of `ddim_step_with_logprob` from `ddim_with_logprob.py`. As such, it only supports the
+#   `ddim` scheduler.
+# - It returns all the intermediate latents of the denoising process as well as the log probs of each denoising step.
 
 from typing import Any, Callable, Dict, List, Optional, Union
 
@@ -10,7 +12,6 @@ from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import (
     StableDiffusionPipeline,
     rescale_noise_cfg,
 )
-from diffusers.schedulers.scheduling_ddim import DDIMScheduler
 from .ddim_with_logprob import ddim_step_with_logprob
 
 

ddpo_pytorch/prompts.py

@@ -1,4 +1,5 @@
 from importlib import resources
+import os
 import functools
 import random
 import inflect
@@ -8,35 +9,45 @@ ASSETS_PATH = resources.files("ddpo_pytorch.assets")
 
 
 @functools.cache
-def load_lines(name):
+def _load_lines(path):
-    with ASSETS_PATH.joinpath(name).open() as f:
+    """
+    Load lines from a file. First tries to load from `path` directly, and if that doesn't exist, searches the
+    `ddpo_pytorch/assets` directory for a file named `path`.
+    """
+    if not os.path.exists(path):
+        newpath = ASSETS_PATH.joinpath(path)
+    if not os.path.exists(newpath):
+        raise FileNotFoundError(f"Could not find {path} or ddpo_pytorch.assets/{path}")
+    path = newpath
+    with open(path, "r") as f:
         return [line.strip() for line in f.readlines()]
 
 
-def imagenet(low, high):
+def from_file(path, low=None, high=None):
-    return random.choice(load_lines("imagenet_classes.txt")[low:high]), {}
+    prompts = _load_lines(path)[low:high]
+    return random.choice(prompts), {}
 
 
 def imagenet_all():
-    return imagenet(0, 1000)
+    return from_file("imagenet_classes.txt")
 
 
 def imagenet_animals():
-    return imagenet(0, 398)
+    return from_file("imagenet_classes.txt", 0, 398)
 
 
 def imagenet_dogs():
-    return imagenet(151, 269)
+    return from_file("imagenet_classes.txt", 151, 269)
 
 
 def nouns_activities(nouns_file, activities_file):
-    nouns = load_lines(nouns_file)
+    nouns = _load_lines(nouns_file)
-    activities = load_lines(activities_file)
+    activities = _load_lines(activities_file)
     return f"{IE.a(random.choice(nouns))} {random.choice(activities)}", {}
 
 
 def counting(nouns_file, low, high):
-    nouns = load_lines(nouns_file)
+    nouns = _load_lines(nouns_file)
     number = IE.number_to_words(random.randint(low, high))
     noun = random.choice(nouns)
     plural_noun = IE.plural(noun)

scripts/train.py

@@ -1,7 +1,7 @@
 from collections import defaultdict
 import contextlib
 import os
-from absl import app, flags, logging
+from absl import app, flags
 from ml_collections import config_flags
 from accelerate import Accelerator
 from accelerate.utils import set_seed