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Update accel_sdxl_gen_img.py

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DKnight54
2025-01-25 03:25:38 +08:00
committed by GitHub
parent 0c08de4bf2
commit 9550106016
1 changed files with 12 additions and 10 deletions
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accel_sdxl_gen_img.py
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@@ -2836,11 +2836,11 @@ def main(args):
logger.info(f"test_batch_data_split: {test_batch_data_split}")
with torch.no_grad():
with distributed_state.split_between_processes(batch_data_split) as batch_list:
logger.info(f"Loading batch of {len(batch_list)} prompts onto device {distributed_state.device}:")
for i in range(len(batch_list)):
logger.info(f"Loading batch of {len(batch_list[0])} prompts onto device {distributed_state.device}:")
logger.info(f"batch_list: {batch_list}")
for i in range(len(batch_list[0])):
logger.info(f"Prompt {i}: {batch_list[0][i].base.prompt}")
prev_image = process_batch(batch_list, highres_fix)[0]
prev_image = process_batch(batch_list[0], highres_fix)[0]
accelerator.wait_for_everyone()
batch_data.clear()
@@ -2863,10 +2863,11 @@ def main(args):
with torch.no_grad():
with distributed_state.split_between_processes(batch_data_split) as batch_list:
logger.info(f"Loading batch of {len(batch_list)} prompts onto device {distributed_state.device}:")
for i in range(len(batch_list)):
logger.info(f"Loading batch of {len(batch_list[0])} prompts onto device {distributed_state.device}:")
logger.info(f"batch_list: {batch_list}")
for i in range(len(batch_list[0])):
logger.info(f"Prompt {i}: {batch_list[0][i].base.prompt}")
prev_image = process_batch(batch_list, highres_fix)[0]
prev_image = process_batch(batch_list[0], highres_fix)[0]
accelerator.wait_for_everyone()
batch_data.clear()
@@ -2889,10 +2890,11 @@ def main(args):
logger.info(f"{test_batch_data_split}")
with torch.no_grad():
with distributed_state.split_between_processes(batch_data_split) as batch_list:
logger.info(f"Loading batch of {len(batch_list)} prompts onto device {distributed_state.device}:")
for i in range(len(batch_list)):
logger.info(f"Loading batch of {len(batch_list[0])} prompts onto device {distributed_state.device}:")
logger.info(f"batch_list: {batch_list}")
for i in range(len(batch_list[0])):
logger.info(f"Prompt {i}: {batch_list[0][i].base.prompt}")
prev_image = process_batch(batch_list, highres_fix)[0]
prev_image = process_batch(batch_list[0], highres_fix)[0]
accelerator.wait_for_everyone()
batch_data.clear()