diff --git a/fastvideo/tests/nightly/test_e2e_hunyuan_overfit_single_sample.py b/fastvideo/tests/nightly/test_e2e_hunyuan_overfit_single_sample.py index 56cbb3074..e10cbb6f7 100644 --- a/fastvideo/tests/nightly/test_e2e_hunyuan_overfit_single_sample.py +++ b/fastvideo/tests/nightly/test_e2e_hunyuan_overfit_single_sample.py @@ -22,7 +22,7 @@ LOCAL_PREPROCESSED_DATA_DIR = Path(os.path.join(DATA_DIR, "cats_processed_t2v_hu # training -NUM_GPUS_PER_NODE_TRAINING = "1" +NUM_GPUS_PER_NODE_TRAINING = "8" TRAINING_ENTRY_FILE_PATH = "fastvideo/training/hunyuan_training_pipeline.py" # New preprocessing pipeline creates files in training_dataset/worker_0/worker_0/ LOCAL_TRAINING_DATA_DIR = os.path.join(LOCAL_PREPROCESSED_DATA_DIR, "training_dataset", "worker_0", "worker_0") @@ -112,9 +112,9 @@ def run_preprocessing(): "--preprocess.dataset_output_dir", str(LOCAL_PREPROCESSED_DATA_DIR), "--preprocess.preprocess_video_batch_size", "1", "--preprocess.dataloader_num_workers", "0", - "--preprocess.max_height", "384", - "--preprocess.max_width", "640", - "--preprocess.num_frames", "49", + "--preprocess.max_height", "480", + "--preprocess.max_width", "832", + "--preprocess.num_frames", "77", "--preprocess.train_fps", "16", "--preprocess.samples_per_file", "1", "--preprocess.flush_frequency", "1", @@ -161,9 +161,9 @@ def run_training(): "--training_cfg_rate", "0.0", "--output_dir", str(LOCAL_OUTPUT_DIR), "--tracker_project_name", "hunyuan_finetune_overfit_ci", - "--num_height", "384", - "--num_width", "640", - "--num_frames", "49", + "--num_height", "480", + "--num_width", "832", + "--num_frames", "81", "--validation_guidance_scale", "1.0", "--embedded_cfg_scale", "6.0", "--num_euler_timesteps", "50", @@ -182,11 +182,11 @@ def run_training(): def test_e2e_hunyuan_overfit_single_sample(): os.environ["WANDB_MODE"] = "online" - download_data() + #download_data() run_preprocessing() run_training() - reference_video_file = os.path.join(os.path.dirname(__file__), "reference_video_hunyuan_1_sample_v0.mp4") + reference_video_file = os.path.join(os.path.dirname(__file__), "reference_video_1_sample_v0.mp4") print(f"reference_video_file: {reference_video_file}") final_validation_video_file = os.path.join(LOCAL_OUTPUT_DIR, "validation_step_900_inference_steps_50_video_0.mp4") print(f"final_validation_video_file: {final_validation_video_file}") @@ -196,7 +196,7 @@ def test_e2e_hunyuan_overfit_single_sample(): assert os.path.exists(reference_video_file), f"Reference video not found at {reference_video_file}" assert os.path.exists(final_validation_video_file), f"Validation video not found at {final_validation_video_file}" - # Compute SSIM + #Compute SSIM mean_ssim, min_ssim, max_ssim = compute_video_ssim_torchvision( reference_video_file, final_validation_video_file, @@ -211,5 +211,6 @@ def test_e2e_hunyuan_overfit_single_sample(): assert max_ssim > 0.5, f"Max SSIM is below 0.5: {max_ssim}" + if __name__ == "__main__": test_e2e_hunyuan_overfit_single_sample() diff --git a/fastvideo/tests/ssim/test_inference_similarity.py b/fastvideo/tests/ssim/test_inference_similarity.py index 720a6fbf8..c728e9d4f 100644 --- a/fastvideo/tests/ssim/test_inference_similarity.py +++ b/fastvideo/tests/ssim/test_inference_similarity.py @@ -19,12 +19,16 @@ if "A40" in device_name: device_reference_folder = "A40" + device_reference_folder_suffix elif "L40S" in device_name: device_reference_folder = "L40S" + device_reference_folder_suffix +elif "H100" in device_name or "NVIDIA H100" in device_name: + device_reference_folder = "H100" + device_reference_folder_suffix + else: # device_reference_folder = "L40S" + device_reference_folder_suffix logger.warning(f"Unsupported device for ssim tests: {device_name}") # raise ValueError(f"Unsupported device for ssim tests: {device_name}") # Base parameters from the shell script + HUNYUAN_PARAMS = { "num_gpus": 4, "model_path": "FastVideo/FastHunyuan-diffusers",