[wip] SAM: onnx passing not closing well #2600
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edgarriba
commented
Oct 4, 2023
| @@ -85,7 +85,10 @@ def __init__( | |||
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| def forward(self, x: Tensor) -> Tensor: | |||
| if x.ndim == 3: | |||
| x = x.transpose(1, 2).unflatten(2, self.input_resolution) # (B, H * W, C) -> (B, C, H, W) | |||
| # x = x.transpose(1, 2).unflatten(2, self.input_resolution) # (B, H * W, C) -> (B, C, H, W) | |||
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@ducha-aiki i noticed that some models for matching use unflatten too which is not supported by onnx
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this still relevant @edgarriba ? |
johnnv1
changed the title
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@johnnv1 our current Sam is not ONNX exportable, so I’d say yes it’s relevant but I won’t have time work on it |
Ok, just updated it to be main based |
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Related to ##2559