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如果我想要更改CNN模型的kernel size,例如改成5*5大小,以便看是否有更高的PSNR。 我跟改了model_x 檔案第52行"layers = [nn.Conv2d(in_filters, out_filters, 5, stride=2, padding=1)]" 跑出了錯誤訊息 "RuntimeError: Calculated padded input size per channel: (7 x 7). Kernel size: (8 x 8). Kernel size can't be greater than actual input size" ,想請問作者如何解決。
謝謝您。
The text was updated successfully, but these errors were encountered:
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如果我想要更改CNN模型的kernel size,例如改成5*5大小,以便看是否有更高的PSNR。
我跟改了model_x 檔案第52行"layers = [nn.Conv2d(in_filters, out_filters, 5, stride=2, padding=1)]"
跑出了錯誤訊息 "RuntimeError: Calculated padded input size per channel: (7 x 7). Kernel size: (8 x 8). Kernel size can't be greater than actual input size" ,想請問作者如何解決。
謝謝您。
The text was updated successfully, but these errors were encountered: