mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-26 02:46:47 +08:00
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
# Tencent is pleased to support the open source community by making ncnn available.
|
|
#
|
|
# Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
|
|
#
|
|
# 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
|
|
#
|
|
# https://opensource.org/licenses/BSD-3-Clause
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software distributed
|
|
# under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
|
|
# CONDITIONS OF ANY KIND, either express or implied. See the License for the
|
|
# specific language governing permissions and limitations under the License.
|
|
|
|
import pytest
|
|
import pnnx
|
|
|
|
import torch
|
|
import torch.nn as nn
|
|
import torch.nn.functional as F
|
|
from packaging import version
|
|
|
|
class Model(nn.Module):
|
|
def __init__(self):
|
|
super(Model, self).__init__()
|
|
|
|
def forward(self, x):
|
|
x = F.relu(x)
|
|
return x
|
|
|
|
def test_export():
|
|
net = Model()
|
|
net.eval()
|
|
|
|
torch.manual_seed(0)
|
|
x = torch.rand(1, 16)
|
|
x2 = torch.rand(1, 128)
|
|
|
|
a0 = net(x)
|
|
a1 = net(x2)
|
|
|
|
net_pnnx = pnnx.export(net, "test_F_relu_dexport", x, x2)
|
|
|
|
b0 = net_pnnx(x)
|
|
b1 = net_pnnx(x2)
|
|
|
|
assert torch.equal(a0, b0) and torch.equal(a1, b1)
|