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https://github.com/huggingface/pytorch-image-models.git
synced 2025-06-03 15:01:08 +08:00
Improve tracing of window attn models with simpler reshape logic
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@ -217,9 +217,9 @@ def window_reverse(windows: Tensor, window_size: Tuple[int, int], H: int, W: int
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Returns:
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x: (B, H, W, C)
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"""
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B = int(windows.shape[0] / (H * W / window_size[0] / window_size[1]))
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x = windows.view(B, H // window_size[0], W // window_size[1], window_size[0], window_size[1], -1)
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x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(B, H, W, -1)
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C = windows.shape[-1]
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x = windows.view(-1, H // window_size[0], W // window_size[1], window_size[0], window_size[1], C)
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x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, H, W, C)
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return x
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@ -243,9 +243,9 @@ def window_partition(x, window_size: Tuple[int, int]):
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@register_notrace_function # reason: int argument is a Proxy
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def window_reverse(windows, window_size: Tuple[int, int], img_size: Tuple[int, int]):
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H, W = img_size
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B = int(windows.shape[0] / (H * W / window_size[0] / window_size[1]))
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x = windows.view(B, H // window_size[0], W // window_size[1], window_size[0], window_size[1], -1)
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x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(B, H, W, -1)
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C = windows.shape[-1]
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x = windows.view(-1, H // window_size[0], W // window_size[1], window_size[0], window_size[1], C)
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x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, H, W, C)
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return x
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@ -126,9 +126,9 @@ def window_reverse(windows, window_size: int, H: int, W: int):
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Returns:
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x: (B, H, W, C)
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"""
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B = int(windows.shape[0] / (H * W / window_size / window_size))
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x = windows.view(B, H // window_size, W // window_size, window_size, window_size, -1)
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x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(B, H, W, -1)
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C = windows.shape[-1]
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x = windows.view(-1, H // window_size, W // window_size, window_size, window_size, C)
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x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, H, W, C)
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return x
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@ -120,9 +120,9 @@ def window_reverse(windows, window_size: Tuple[int, int], img_size: Tuple[int, i
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x: (B, H, W, C)
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"""
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H, W = img_size
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B = int(windows.shape[0] / (H * W / window_size[0] / window_size[1]))
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x = windows.view(B, H // window_size[0], W // window_size[1], window_size[0], window_size[1], -1)
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x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(B, H, W, -1)
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C = windows.shape[-1]
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x = windows.view(-1, H // window_size[0], W // window_size[1], window_size[0], window_size[1], C)
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x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, H, W, C)
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return x
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@ -139,9 +139,9 @@ def window_reverse(windows, window_size: Tuple[int, int], img_size: Tuple[int, i
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x: (B, H, W, C)
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"""
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H, W = img_size
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B = int(windows.shape[0] / (H * W / window_size[0] / window_size[1]))
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x = windows.view(B, H // window_size[0], W // window_size[1], window_size[0], window_size[1], -1)
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x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(B, H, W, -1)
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C = windows.shape[-1]
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x = windows.view(-1, H // window_size[0], W // window_size[1], window_size[0], window_size[1], C)
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x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, H, W, C)
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return x
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