Files
facefusion-labs/embedding_converter/src/exporting.py
T
2025-03-11 14:43:09 +01:00

25 lines
853 B
Python

import configparser
from os import makedirs
import torch
from .training import EmbeddingConverterTrainer
CONFIG = configparser.ConfigParser()
CONFIG.read('config.ini')
def export() -> None:
directory_path = CONFIG.get('exporting', 'directory_path')
source_path = CONFIG.get('exporting', 'source_path')
target_path = CONFIG.get('exporting', 'target_path')
ir_version = CONFIG.getint('exporting', 'ir_version')
opset_version = CONFIG.getint('exporting', 'opset_version')
makedirs(directory_path, exist_ok = True)
model = EmbeddingConverterTrainer.load_from_checkpoint(source_path, map_location = 'cpu')
model.eval()
model.ir_version = torch.tensor(ir_version)
input_tensor = (torch.randn(1, 512), )
torch.onnx.export(model, input_tensor, target_path, input_names = [ 'input' ], output_names = [ 'output' ], opset_version = opset_version)