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pytorch模型通过pnnx转到ncnn,运行发现ncnn的ConvolutionDepthWise算子在算卷积时,把我的d维数据丢了,输出d=1,是目前还不支持[d, c, h, w]的数据卷积吗
The text was updated successfully, but these errors were encountered:
3d转换是支持的,估计是个BUG,提供一下pytorch的最小复现代码?
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spatial_layer = nn.Conv2d(256, 256, 3, 1, 0, groups=256, bias=False) model = spatial_layer.eval() x = torch.randn(98, 256, 3, 3) print(model(x).shape)
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pytorch模型通过pnnx转到ncnn,运行发现ncnn的ConvolutionDepthWise算子在算卷积时,把我的d维数据丢了,输出d=1,是目前还不支持[d, c, h, w]的数据卷积吗
The text was updated successfully, but these errors were encountered: