mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-16 20:32:33 +08:00
nihui
88 lines
2.2 KiB
Python
88 lines
2.2 KiB
Python
# Copyright 2021 Tencent
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# SPDX-License-Identifier: BSD-3-Clause
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import pytest
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import ncnn
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alloctor = ncnn.PoolAllocator()
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def test_extractor():
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with pytest.raises(TypeError, match="No constructor"):
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ex = ncnn.Extractor()
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dr = ncnn.DataReaderFromEmpty()
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net = ncnn.Net()
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net.load_param("tests/test.param")
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net.load_model(dr)
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in_mat = ncnn.Mat((227, 227, 3))
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with net.create_extractor() as ex:
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ex.set_light_mode(True)
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ex.set_blob_allocator(alloctor)
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ex.set_workspace_allocator(alloctor)
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ex.input("data", in_mat)
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ret, out_mat = ex.extract("conv0_fwd")
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assert (
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ret == 0
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and out_mat.dims == 3
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and out_mat.w == 225
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and out_mat.h == 225
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and out_mat.c == 3
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)
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assert out_mat.allocator is None
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ret, out_mat_raw = ex.extract("conv0_fwd", type=1)
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assert ret == 0 and out_mat_raw.allocator is alloctor
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ret, out_mat = ex.extract("output")
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assert ret == 0 and out_mat.dims == 1 and out_mat.w == 1
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out_mat_raw_copy = out_mat_raw.clone()
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assert out_mat_raw_copy.dims == 3 and out_mat_raw_copy.w == 225
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def test_extractor_index():
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with pytest.raises(TypeError, match="No constructor"):
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ex = ncnn.Extractor()
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dr = ncnn.DataReaderFromEmpty()
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net = ncnn.Net()
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net.load_param("tests/test.param")
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net.load_model(dr)
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in_mat = ncnn.Mat((227, 227, 3))
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ex = net.create_extractor()
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ex.set_light_mode(True)
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ex.set_blob_allocator(alloctor)
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ex.set_workspace_allocator(alloctor)
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ex.input(0, in_mat)
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ret, out_mat = ex.extract(1)
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assert (
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ret == 0
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and out_mat.dims == 3
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and out_mat.w == 225
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and out_mat.h == 225
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and out_mat.c == 3
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)
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assert out_mat.allocator is None
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ret, out_mat_raw = ex.extract(1, type=1)
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assert ret == 0 and out_mat_raw.allocator is alloctor
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ret, out_mat = ex.extract(2)
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assert ret == 0 and out_mat.dims == 1 and out_mat.w == 1
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# not use with sentence, call clear manually to ensure ex destruct before net
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ex.clear()
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out_mat_raw_copy = out_mat_raw.clone()
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assert out_mat_raw_copy.dims == 3 and out_mat_raw_copy.w == 225
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