python/tests/test_extractor.py

# 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()