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将 1x1x16 的卷积核进行零填充扩展为 3x3x16 的卷积核，以得到和 1x1x16 同样的卷积输出。 #274

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Aug 18, 2024
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将 1x1x16 的卷积核进行零填充扩展为 3x3x16 的卷积核，以得到和 1x1x16 同样的卷积输出。 #274

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3 changes: 2 additions & 1 deletion 03Compiler/03Frontend/03OPFusion.md
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Expand Up @@ -68,7 +68,8 @@ if __name__ == "__main__":

# kernel fusion
# 将 conv2 的卷积核权重由(1, 1)扩展到(3, 3)
weight_expanded = F.interpolate(conv2_weight, size=(3, 3), mode='bilinear', align_corners=False)
weight_expanded = torch.zeros(16, 3, 3, 3)
weight_expanded[:, :, 1, 1] = conv2_weight[:, :, 0, 0]
# conv1 卷积核与 conv2 卷积核融合
weight_fusion = torch.concatenate([conv1_weight, weight_expanded], dim=0)
# conv1 偏置与 conv2 偏置融合
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