Implemented cpu offload (#197)

* Implemented cpu offload for other frameworks * polish example code * Added test for low mem settings. * polish * format * fix arg * update pipeline and test --------- Co-authored-by: ExtremeViscent <[email protected]>
NUS-HPC-AI-Lab · Sep 13, 2024 · 2e81cd8 · 2e81cd8
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commit 2e81cd8
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Showing 14 changed files with 136 additions and 27 deletions.
diff --git a/examples/latte/sample.py b/examples/latte/sample.py
@@ -16,6 +16,15 @@ def run_base():
     engine.save_video(video, f"./outputs/{prompt}.mp4")
 
 
+def run_low_mem():
+    config = LatteConfig("maxin-cn/Latte-1", cpu_offload=True)
+    engine = VideoSysEngine(config)
+
+    prompt = "Sunset over the sea."
+    video = engine.generate(prompt).video[0]
+    engine.save_video(video, f"./outputs/{prompt}.mp4")
+
+
 def run_pab():
     config = LatteConfig("maxin-cn/Latte-1", enable_pab=True)
     engine = VideoSysEngine(config)
@@ -27,4 +36,5 @@ def run_pab():
 
 if __name__ == "__main__":
     run_base()
+    # run_low_mem()
     # run_pab()
diff --git a/examples/open_sora/sample.py b/examples/open_sora/sample.py
@@ -20,6 +20,15 @@ def run_base():
     engine.save_video(video, f"./outputs/{prompt}.mp4")
 
 
+def run_low_mem():
+    config = OpenSoraConfig(cpu_offload=True, tiling_size=1)
+    engine = VideoSysEngine(config)
+
+    prompt = "Sunset over the sea."
+    video = engine.generate(prompt).video[0]
+    engine.save_video(video, f"./outputs/{prompt}.mp4")
+
+
 def run_pab():
     config = OpenSoraConfig(enable_pab=True)
     engine = VideoSysEngine(config)
@@ -31,4 +40,5 @@ def run_pab():
 
 if __name__ == "__main__":
     run_base()
+    # run_low_mem()
     # run_pab()
diff --git a/examples/open_sora_plan/sample.py b/examples/open_sora_plan/sample.py
@@ -16,8 +16,17 @@ def run_base():
     engine.save_video(video, f"./outputs/{prompt}.mp4")
 
 
+def run_low_mem():
+    config = OpenSoraPlanConfig(cpu_offload=True, enable_tiling=True)
+    engine = VideoSysEngine(config)
+
+    prompt = "Sunset over the sea."
+    video = engine.generate(prompt).video[0]
+    engine.save_video(video, f"./outputs/{prompt}.mp4")
+
+
 def run_pab():
-    config = OpenSoraPlanConfig(num_gpus=1, enable_pab=True)
+    config = OpenSoraPlanConfig(enable_pab=True)
     engine = VideoSysEngine(config)
 
     prompt = "Sunset over the sea."
@@ -27,4 +36,5 @@ def run_pab():
 
 if __name__ == "__main__":
     run_base()
+    # run_low_mem()
     # run_pab()
diff --git a/tests/examples/test_sample.py b/tests/examples/test_sample.py
@@ -12,12 +12,19 @@
 import examples.open_sora.sample as open_sora
 import examples.open_sora_plan.sample as open_sora_plan
 
+files = [cogvideox, latte, open_sora, open_sora_plan]
+members = []
 
-@pytest.mark.parametrize("file", [cogvideox, latte, open_sora, open_sora_plan])
-def test_examples(file):
-    funcs = inspect.getmembers(file, inspect.isfunction)
-    for name, func in funcs:
-        try:
-            func()
-        except Exception as e:
-            raise Exception(f"Failed to run {name} in {file.__file__}") from e
+for file in files:
+    for m in inspect.getmembers(file, inspect.isfunction):
+        members.append(m)
+print(members)
+
+
+@pytest.mark.parametrize("members", members)
+def test_examples(members):
+    name, func = members
+    try:
+        func()
+    except Exception as e:
+        raise Exception(f"Failed to run {name} in {file.__file__}") from e
diff --git a/tests/pipelines/cogvideox/test_cogvideox.py b/tests/pipelines/cogvideox/test_cogvideox.py
@@ -21,3 +21,13 @@ def test_pab(num_gpus):
     prompt = "Sunset over the sea."
     video = engine.generate(prompt).video[0]
     engine.save_video(video, f"./test_outputs/{prompt}_cogvideo_pab_{num_gpus}.mp4")
+
+
+@pytest.mark.parametrize("num_gpus", [1])
+def test_low_mem(num_gpus):
+    config = CogVideoXConfig(num_gpus=num_gpus, cpu_offload=True, vae_tiling=True)
+    engine = VideoSysEngine(config)
+
+    prompt = "Sunset over the sea."
+    video = engine.generate(prompt).video[0]
+    engine.save_video(video, f"./test_outputs/{prompt}_cogvideo_low_mem_{num_gpus}.mp4")
diff --git a/tests/pipelines/latte/test_latte.py b/tests/pipelines/latte/test_latte.py
@@ -21,3 +21,13 @@ def test_pab(num_gpus):
     prompt = "Sunset over the sea."
     video = engine.generate(prompt).video[0]
     engine.save_video(video, f"./test_outputs/{prompt}_latte_pab_{num_gpus}.mp4")
+
+
+@pytest.mark.parametrize("num_gpus", [1])
+def test_low_mem(num_gpus):
+    config = LatteConfig(num_gpus=num_gpus, cpu_offload=True)
+    engine = VideoSysEngine(config)
+
+    prompt = "Sunset over the sea."
+    video = engine.generate(prompt).video[0]
+    engine.save_video(video, f"./test_outputs/{prompt}_latte_low_mem_{num_gpus}.mp4")
diff --git a/tests/pipelines/open_sora/test_open_sora.py b/tests/pipelines/open_sora/test_open_sora.py
@@ -21,3 +21,13 @@ def test_pab(num_gpus):
     prompt = "Sunset over the sea."
     video = engine.generate(prompt).video[0]
     engine.save_video(video, f"./test_outputs/{prompt}_open_sora_pab_{num_gpus}.mp4")
+
+
+@pytest.mark.parametrize("num_gpus", [1])
+def test_low_mem(num_gpus):
+    config = OpenSoraConfig(num_gpus=num_gpus, cpu_offload=True, tiling_size=1)
+    engine = VideoSysEngine(config)
+
+    prompt = "Sunset over the sea."
+    video = engine.generate(prompt).video[0]
+    engine.save_video(video, f"./test_outputs/{prompt}_open_sora_low_mem_{num_gpus}.mp4")
diff --git a/tests/pipelines/open_sora_plan/test_open_sora_plan.py b/tests/pipelines/open_sora_plan/test_open_sora_plan.py
@@ -21,3 +21,13 @@ def test_pab(num_gpus):
     prompt = "Sunset over the sea."
     video = engine.generate(prompt).video[0]
     engine.save_video(video, f"./test_outputs/{prompt}_open_sora_plan_pab_{num_gpus}.mp4")
+
+
+@pytest.mark.parametrize("num_gpus", [1])
+def test_low_mem(num_gpus):
+    config = OpenSoraPlanConfig(num_gpus=num_gpus, cpu_offload=True, enable_tiling=True)
+    engine = VideoSysEngine(config)
+
+    prompt = "Sunset over the sea."
+    video = engine.generate(prompt).video[0]
+    engine.save_video(video, f"./test_outputs/{prompt}_open_sora_plan_low_mem_{num_gpus}.mp4")
diff --git a/videosys/core/engine.py b/videosys/core/engine.py
@@ -3,6 +3,7 @@
 from typing import Any, Optional
 
 import torch
+import torch.distributed as dist
 
 import videosys
 
@@ -22,9 +23,6 @@ def __init__(self, config):
     def _init_worker(self, pipeline_cls):
         world_size = self.config.num_gpus
 
-        if "CUDA_VISIBLE_DEVICES" not in os.environ:
-            os.environ["CUDA_VISIBLE_DEVICES"] = ",".join(str(i) for i in range(world_size))
-
         # Disable torch async compiling which won't work with daemonic processes
         os.environ["TORCHINDUCTOR_COMPILE_THREADS"] = "1"
 
@@ -124,7 +122,7 @@ def save_video(self, video, output_path):
     def shutdown(self):
         if (worker_monitor := getattr(self, "worker_monitor", None)) is not None:
             worker_monitor.close()
-        torch.distributed.destroy_process_group()
+        dist.destroy_process_group()
 
     def __del__(self):
         self.shutdown()
diff --git a/videosys/models/autoencoders/autoencoder_kl_open_sora.py b/videosys/models/autoencoders/autoencoder_kl_open_sora.py
@@ -670,6 +670,9 @@ def encode(self, x):
             return (z - self.shift) / self.scale
 
     def decode(self, z, num_frames=None):
+        device = z.device
+        self.scale = self.scale.to(device)
+        self.shift = self.shift.to(device)
         if not self.cal_loss:
             z = z * self.scale.to(z.dtype) + self.shift.to(z.dtype)
 

diff --git a/videosys/pipelines/cogvideox/pipeline_cogvideox.py b/videosys/pipelines/cogvideox/pipeline_cogvideox.py
@@ -114,7 +114,7 @@ def __init__(
 
 
 class CogVideoXPipeline(VideoSysPipeline):
-    _optional_components = ["tokenizer", "text_encoder", "vae", "transformer", "scheduler"]
+    _optional_components = ["text_encoder", "tokenizer"]
     model_cpu_offload_seq = "text_encoder->transformer->vae"
     _callback_tensor_inputs = [
         "latents",

diff --git a/videosys/pipelines/latte/pipeline_latte.py b/videosys/pipelines/latte/pipeline_latte.py
@@ -138,6 +138,8 @@ def __init__(
         beta_end: float = 0.02,
         beta_schedule: str = "linear",
         variance_type: str = "learned_range",
+        # ======= memory =======
+        cpu_offload: bool = False,
         # ======= pab ========
         enable_pab: bool = False,
         pab_config: PABConfig = LattePABConfig(),
@@ -148,6 +150,8 @@ def __init__(
         self.num_gpus = num_gpus
         # ======= vae ========
         self.enable_vae_temporal_decoder = enable_vae_temporal_decoder
+        # ======= memory ========
+        self.cpu_offload = cpu_offload
         # ======= scheduler ========
         self.beta_start = beta_start
         self.beta_end = beta_end
@@ -235,12 +239,18 @@ def __init__(
             set_pab_manager(config.pab_config)
 
         # set eval and device
-        self.set_eval_and_device(device, text_encoder, vae, transformer)
+        self.set_eval_and_device(device, vae, transformer)
 
         self.register_modules(
             tokenizer=tokenizer, text_encoder=text_encoder, vae=vae, transformer=transformer, scheduler=scheduler
         )
 
+        # cpu offload
+        if config.cpu_offload:
+            self.enable_model_cpu_offload()
+        else:
+            self.set_eval_and_device(device, text_encoder)
+
         self.vae_scale_factor = 2 ** (len(self.vae.config.block_out_channels) - 1)
         self.image_processor = VaeImageProcessor(vae_scale_factor=self.vae_scale_factor)
 
@@ -744,7 +754,7 @@ def generate(
         else:
             batch_size = prompt_embeds.shape[0]
 
-        device = self.text_encoder.device or self._execution_device
+        device = self._execution_device
 
         # here `guidance_scale` is defined analog to the guidance weight `w` of equation (2)
         # of the Imagen paper: https://arxiv.org/pdf/2205.11487.pdf . `guidance_scale = 1`

diff --git a/videosys/pipelines/open_sora/pipeline_open_sora.py b/videosys/pipelines/open_sora/pipeline_open_sora.py
@@ -132,6 +132,8 @@ def __init__(
         # ======== scheduler ========
         num_sampling_steps: int = 30,
         cfg_scale: float = 7.0,
+        # ======= memory =======
+        cpu_offload: bool = False,
         # ======== vae ========
         tiling_size: int = 4,
         # ======== speedup ========
@@ -151,6 +153,8 @@ def __init__(
         self.cfg_scale = cfg_scale
         # ======== vae ========
         self.tiling_size = tiling_size
+        # ======= memory ========
+        self.cpu_offload = cpu_offload
         # ======== speedup ========
         self.enable_flash_attn = enable_flash_attn
         # ======== pab ========
@@ -184,7 +188,10 @@ class OpenSoraPipeline(VideoSysPipeline):
         r"[" + "#®•©™&@·º½¾¿¡§~" + "\)" + "\(" + "\]" + "\[" + "\}" + "\{" + "\|" + "\\" + "\/" + "\*" + r"]{1,}"
     )  # noqa
 
-    _optional_components = ["tokenizer", "text_encoder"]
+    _optional_components = [
+        "text_encoder",
+        "tokenizer",
+    ]
     model_cpu_offload_seq = "text_encoder->transformer->vae"
 
     def __init__(
@@ -228,12 +235,18 @@ def __init__(
             set_pab_manager(config.pab_config)
 
         # set eval and device
-        self.set_eval_and_device(device, text_encoder, vae, transformer)
+        self.set_eval_and_device(device, vae, transformer)
 
         self.register_modules(
             text_encoder=text_encoder, vae=vae, transformer=transformer, scheduler=scheduler, tokenizer=tokenizer
         )
 
+        # cpu offload
+        if config.cpu_offload:
+            self.enable_model_cpu_offload()
+        else:
+            self.set_eval_and_device(self._device, text_encoder)
+
     def get_text_embeddings(self, texts):
         text_tokens_and_mask = self.tokenizer(
             texts,
@@ -244,9 +257,9 @@ def get_text_embeddings(self, texts):
             add_special_tokens=True,
             return_tensors="pt",
         )
-
-        input_ids = text_tokens_and_mask["input_ids"].to(self.device)
-        attention_mask = text_tokens_and_mask["attention_mask"].to(self.device)
+        device = self._execution_device
+        input_ids = text_tokens_and_mask["input_ids"].to(device)
+        attention_mask = text_tokens_and_mask["attention_mask"].to(device)
         with torch.no_grad():
             text_encoder_embs = self.text_encoder(
                 input_ids=input_ids,
@@ -260,7 +273,7 @@ def encode_prompt(self, text):
         return dict(y=caption_embs, mask=emb_masks)
 
     def null_embed(self, n):
-        null_y = self.transformer.y_embedder.y_embedding[None].repeat(n, 1, 1)[:, None]
+        null_y = self.transformer.y_embedder.y_embedding[None].repeat(n, 1, 1)[:, None].to(self._execution_device)
         return null_y
 
     @staticmethod

diff --git a/videosys/pipelines/open_sora_plan/pipeline_open_sora_plan.py b/videosys/pipelines/open_sora_plan/pipeline_open_sora_plan.py
@@ -169,7 +169,8 @@ def __init__(
         num_frames: int = 65,
         # ======= distributed ========
         num_gpus: int = 1,
-        # ======= vae =======
+        # ======= memory =======
+        cpu_offload: bool = False,
         enable_tiling: bool = True,
         tile_overlap_factor: float = 0.25,
         # ======= pab ========
@@ -185,7 +186,8 @@ def __init__(
         self.version = f"{num_frames}x512x512"
         # ======= distributed ========
         self.num_gpus = num_gpus
-        # ======= vae ========
+        # ======= memory ========
+        self.cpu_offload = cpu_offload
         self.enable_tiling = enable_tiling
         self.tile_overlap_factor = tile_overlap_factor
         # ======= pab ========
@@ -256,7 +258,7 @@ def __init__(
         transformer.force_images = False
 
         # set eval and device
-        self.set_eval_and_device(device, text_encoder, vae, transformer)
+        self.set_eval_and_device(device, vae, transformer)
 
         # pab
         if config.enable_pab:
@@ -266,6 +268,12 @@ def __init__(
             tokenizer=tokenizer, text_encoder=text_encoder, vae=vae, transformer=transformer, scheduler=scheduler
         )
 
+        # cpu offload
+        if config.cpu_offload:
+            self.enable_model_cpu_offload()
+        else:
+            self.set_eval_and_device(device, text_encoder)
+
         # self.vae_scale_factor = 2 ** (len(self.vae.config.block_out_channels) - 1)
 
     # Adapted from https://github.com/PixArt-alpha/PixArt-alpha/blob/master/diffusion/model/utils.py
@@ -320,7 +328,7 @@ def encode_prompt(
         embeds_initially_provided = prompt_embeds is not None and negative_prompt_embeds is not None
 
         if device is None:
-            device = self.text_encoder.device or self._execution_device
+            device = self._execution_device
 
         if prompt is not None and isinstance(prompt, str):
             batch_size = 1
@@ -774,7 +782,7 @@ def generate(
         else:
             batch_size = prompt_embeds.shape[0]
 
-        device = self.text_encoder.device or self._execution_device
+        device = self._execution_device
 
         # here `guidance_scale` is defined analog to the guidance weight `w` of equation (2)
         # of the Imagen paper: https://arxiv.org/pdf/2205.11487.pdf . `guidance_scale = 1`