ncnn/tools/pnnx/python/examples/convert.py

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# Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
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# Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of the License at
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# https://opensource.org/licenses/BSD-3-Clause
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import pnnx

import torch
import torch.nn as nn
import torch.nn.functional as F

class Model(nn.Module):
    def __init__(self):
        super(Model, self).__init__()

    def forward(self, x):
        x = F.relu(x)
        return x

if __name__ == "__main__":
    net = Model()
    net.eval()

    torch.manual_seed(0)
    x = torch.rand(1, 16)

    a0 = net(x)

    mod = torch.jit.trace(net, x)
    mod.save("test_F_relu.pt")

    pnnx.convert("test_F_relu.pt", [1, 16], "f32")