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Variable AAD layer according to output size

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henryruhs
2025-03-11 14:43:10 +01:00
parent 430c71d031
commit 5056b8df75
6 changed files with 77 additions and 43 deletions
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face_swapper/src/exporting.py
+2 -1
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@@ -13,6 +13,7 @@ def export() -> None:
directory_path = CONFIG.get('exporting', 'directory_path')
source_path = CONFIG.get('exporting', 'source_path')
target_path = CONFIG.get('exporting', 'target_path')
target_size = CONFIG.getint('exporting', 'target_size')
ir_version = CONFIG.getint('exporting', 'ir_version')
opset_version = CONFIG.getint('exporting', 'opset_version')
@@ -21,5 +22,5 @@ def export() -> None:
model.eval()
model.ir_version = torch.tensor(ir_version)
source_tensor = torch.randn(1, 512)
target_tensor = torch.randn(1, 3, 256, 256)
target_tensor = torch.randn(1, 3, target_size, target_size)
torch.onnx.export(model, (source_tensor, target_tensor), target_path, input_names = [ 'source', 'target' ], output_names = [ 'output' ], opset_version = opset_version)