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- # Tencent is pleased to support the open source community by making ncnn available.
- #
- # Copyright (C) 2020 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 time
- import ncnn
-
- dr = ncnn.DataReaderFromEmpty()
-
- net = ncnn.Net()
- net.load_param("test.param")
- net.load_model(dr)
-
- in_mat = ncnn.Mat((227, 227, 3))
-
- start = time.time()
-
- ex = net.create_extractor()
- ex.input("data", in_mat)
- ret, out_mat = ex.extract("output")
-
- end = time.time()
- print("timespan = ", end - start)
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