Comments (4)
Uploading readout_query.tar.gz…
模型见附件
from ncnn.
net = torch.jit.load('readout_query.pt')
net.eval()
torch.manual_seed(0)
v_0 = torch.rand(1, 64, 24, 24, dtype=torch.float)
v_1 = torch.rand(1, 1, 16, 65, dtype=torch.float)
return net(v_0, v_1)
你提供的模型,这样随机输入,输出也是 nan
from ncnn.
@nihui 验证了 torch.manual_seed(0) 的时候输出就会是nan 把随机种子改成别的就不会输出nan
from ncnn.
readout_query.tar.gz
pt模型与onnx模型 同样的输入 输出基本能对上 pnnx的就对不上
pt模型与onnx模型 测试代码及模型在附件
from ncnn.
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