deepin-ocr/3rdparty/ncnn/python/tests/test_extractor.py

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# 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 ncnn
alloctor = ncnn.PoolAllocator()
def test_extractor():
with pytest.raises(TypeError, match="No constructor"):
ex = ncnn.Extractor()
dr = ncnn.DataReaderFromEmpty()
net = ncnn.Net()
net.load_param("tests/test.param")
net.load_model(dr)
in_mat = ncnn.Mat((227, 227, 3))
with net.create_extractor() as ex:
ex.set_light_mode(True)
ex.set_num_threads(2)
ex.set_blob_allocator(alloctor)
ex.set_workspace_allocator(alloctor)
ex.input("data", in_mat)
ret, out_mat = ex.extract("conv0_fwd")
assert (
ret == 0
and out_mat.dims == 3
and out_mat.w == 225
and out_mat.h == 225
and out_mat.c == 3
)
ret, out_mat = ex.extract("output")
assert ret == 0 and out_mat.dims == 1 and out_mat.w == 1
def test_extractor_index():
with pytest.raises(TypeError, match="No constructor"):
ex = ncnn.Extractor()
dr = ncnn.DataReaderFromEmpty()
net = ncnn.Net()
net.load_param("tests/test.param")
net.load_model(dr)
in_mat = ncnn.Mat((227, 227, 3))
ex = net.create_extractor()
ex.set_light_mode(True)
ex.set_num_threads(2)
ex.set_blob_allocator(alloctor)
ex.set_workspace_allocator(alloctor)
ex.input(0, in_mat)
ret, out_mat = ex.extract(1)
assert (
ret == 0
and out_mat.dims == 3
and out_mat.w == 225
and out_mat.h == 225
and out_mat.c == 3
)
ret, out_mat = ex.extract(2)
assert ret == 0 and out_mat.dims == 1 and out_mat.w == 1
# not use with sentence, call clear manually to ensure ex destruct before net
ex.clear()