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41f031e045
* adjust tests * opt shader coverage op * update gpu_coverage.cpp atomicor coalesce
533 lines
20 KiB
C++
533 lines
20 KiB
C++
// Copyright 2020 Tencent
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// SPDX-License-Identifier: BSD-3-Clause
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#include "testutil.h"
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#include "layer_type.h"
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#include <limits.h>
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static int test_padding(const ncnn::Mat& a, int top, int bottom, int left, int right, int front, int behind, int type, float value, int per_channel_pad_data_size)
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{
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ncnn::ParamDict pd;
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pd.set(0, top);
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pd.set(1, bottom);
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pd.set(2, left);
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pd.set(3, right);
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pd.set(4, type);
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pd.set(5, value);
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pd.set(6, per_channel_pad_data_size);
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pd.set(7, front);
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pd.set(8, behind);
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std::vector<ncnn::Mat> weights(per_channel_pad_data_size ? 1 : 0);
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if (per_channel_pad_data_size)
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weights[0] = RandomMat(per_channel_pad_data_size);
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int ret = test_layer("Padding", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_padding failed a.dims=%d a=(%d %d %d %d) top=%d bottom=%d left=%d right=%d front=%d behind=%d type=%d value=%f per_channel_pad_data_size=%d\n", a.dims, a.w, a.h, a.d, a.c, top, bottom, left, right, front, behind, type, value, per_channel_pad_data_size);
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}
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return ret;
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}
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static int test_padding_float_4d()
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{
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ncnn::Mat a = RandomMat(9, 10, 11, 96);
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ncnn::Mat b = RandomMat(10, 12, 13, 44);
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ncnn::Mat c = RandomMat(8, 7, 9, 13);
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return 0
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// identity
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|| test_padding(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
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// constant border across scalar and packed channels
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|| test_padding(a, 2, 2, 2, 2, 2, 2, 0, 1.f, 0)
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|| test_padding(b, 2, 2, 2, 2, 2, 2, 0, 2.f, 0)
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|| test_padding(c, 2, 2, 2, 2, 2, 2, 0, -3.f, 0)
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// per-channel constant border
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|| test_padding(a, 2, 1, 2, 1, 2, 1, 0, 0.f, a.c)
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|| test_padding(b, 2, 1, 2, 1, 2, 1, 0, 0.f, b.c)
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|| test_padding(c, 2, 1, 2, 1, 2, 1, 0, 0.f, c.c)
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// one-sided border
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|| test_padding(a, 0, 1, 0, 1, 0, 1, 0, 0.f, 0)
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|| test_padding(c, 0, 1, 0, 1, 0, 1, 0, 0.f, 0)
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// asymmetric border
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|| test_padding(a, 1, 2, 3, 4, 5, 6, 0, 0.f, 0)
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|| test_padding(c, 1, 2, 3, 4, 5, 6, 0, 0.f, 0)
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// alternate border extents
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|| test_padding(b, 2, 3, 2, 3, 2, 3, 0, 0.f, 0)
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// opposite signed constant
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|| test_padding(c, 1, 1, 1, 1, 1, 1, 0, 3.f, 0)
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// replicate border across channel packs
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|| test_padding(a, 1, 2, 3, 1, 2, 1, 1, 0.f, 0)
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|| test_padding(b, 2, 1, 1, 3, 1, 2, 1, 0.f, 0)
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|| test_padding(c, 1, 1, 2, 1, 1, 1, 1, 0.f, 0)
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// reflect border across channel packs
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|| test_padding(a, 2, 1, 1, 2, 1, 2, 2, 0.f, 0)
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|| test_padding(b, 1, 2, 2, 1, 2, 1, 2, 0.f, 0)
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|| test_padding(c, 1, 1, 1, 2, 1, 1, 2, 0.f, 0);
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}
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static int test_padding_float_3d()
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{
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ncnn::Mat a = RandomMat(9, 11, 96);
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ncnn::Mat b = RandomMat(10, 13, 44);
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ncnn::Mat c = RandomMat(8, 9, 13);
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return 0
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// identity
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|| test_padding(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
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// constant spatial border
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|| test_padding(a, 2, 2, 2, 2, 0, 0, 0, 1.f, 0)
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|| test_padding(b, 2, 2, 2, 2, 0, 0, 0, 2.f, 0)
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|| test_padding(c, 2, 2, 2, 2, 0, 0, 0, -3.f, 0)
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// per-channel spatial border
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|| test_padding(a, 2, 1, 2, 1, 0, 0, 0, 0.f, a.c)
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|| test_padding(b, 2, 1, 2, 1, 0, 0, 0, 0.f, b.c)
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|| test_padding(c, 2, 1, 2, 1, 0, 0, 0, 0.f, c.c)
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// one-sided replicate border
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|| test_padding(a, 0, 1, 0, 1, 0, 0, 1, 0.f, 0)
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|| test_padding(b, 0, 1, 0, 1, 0, 0, 1, 0.f, 0)
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|| test_padding(c, 0, 1, 0, 1, 0, 0, 1, 0.f, 0)
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// spatial replicate with unchanged channel packing
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|| test_padding(a, 1, 2, 3, 4, 0, 0, 1, 0.f, 0)
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|| test_padding(b, 1, 2, 3, 4, 0, 0, 1, 0.f, 0)
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|| test_padding(c, 1, 2, 3, 4, 0, 0, 1, 0.f, 0)
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// reflect spatial border
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|| test_padding(a, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
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|| test_padding(b, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
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|| test_padding(c, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
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// constant channel extension
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|| test_padding(a, 1, 1, 1, 1, 1, 1, 0, -1.f, 0)
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|| test_padding(b, 1, 1, 1, 1, 1, 1, 0, -2.f, 0)
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|| test_padding(c, 1, 1, 1, 1, 1, 1, 0, 3.f, 0)
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// per-channel unaligned channel extension
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|| test_padding(a, 2, 1, 0, 0, 2, 3, 0, 0.f, a.c + 5)
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|| test_padding(b, 2, 1, 0, 0, 2, 3, 0, 0.f, b.c + 5)
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|| test_padding(c, 2, 1, 0, 0, 2, 3, 0, 0.f, c.c + 5)
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// per-channel large aligned channel extension
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|| test_padding(a, 1, 2, 3, 4, 32, 16, 0, 0.f, a.c + 48)
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|| test_padding(b, 1, 2, 3, 4, 32, 16, 0, 0.f, b.c + 48)
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|| test_padding(c, 1, 2, 3, 4, 32, 16, 0, 0.f, c.c + 48)
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// channel-only replicate extension
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|| test_padding(a, 0, 0, 0, 0, 3, 1, 1, 0.f, 0)
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|| test_padding(b, 0, 0, 0, 0, 3, 1, 1, 0.f, 0)
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|| test_padding(c, 0, 0, 0, 0, 3, 1, 1, 0.f, 0)
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// aligned channel and spatial replicate border
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|| test_padding(a, 2, 0, 1, 0, 4, 4, 1, 0.f, 0)
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|| test_padding(b, 2, 0, 1, 0, 4, 4, 1, 0.f, 0)
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|| test_padding(c, 2, 0, 1, 0, 4, 4, 1, 0.f, 0)
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// one-sided reflect channel extension
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|| test_padding(a, 2, 0, 2, 0, 0, 2, 2, 0.f, 0)
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|| test_padding(b, 2, 0, 2, 0, 0, 2, 2, 0.f, 0)
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|| test_padding(c, 2, 0, 2, 0, 0, 2, 2, 0.f, 0)
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// aligned output with unaligned reflect offset
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|| test_padding(a, 4, 2, 1, 3, 3, 5, 2, 0.f, 0)
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|| test_padding(b, 4, 2, 1, 3, 3, 5, 2, 0.f, 0)
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|| test_padding(c, 4, 2, 1, 3, 3, 5, 2, 0.f, 0);
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}
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static int test_padding_float_2d()
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{
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ncnn::Mat a = RandomMat(15, 96);
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ncnn::Mat b = RandomMat(19, 44);
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ncnn::Mat c = RandomMat(17, 15);
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return 0
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// identity
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|| test_padding(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
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// scalar horizontal constant border
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|| test_padding(c, 0, 0, 1, 1, 0, 0, 0, -3.f, 0)
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// horizontal replicate border
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|| test_padding(a, 0, 0, 3, 4, 0, 0, 1, 0.f, 0)
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|| test_padding(b, 0, 0, 3, 4, 0, 0, 1, 0.f, 0)
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|| test_padding(c, 0, 0, 3, 4, 0, 0, 1, 0.f, 0)
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// horizontal reflect border
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|| test_padding(a, 0, 0, 3, 2, 0, 0, 2, 0.f, 0)
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|| test_padding(b, 0, 0, 3, 2, 0, 0, 2, 0.f, 0)
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|| test_padding(c, 0, 0, 3, 2, 0, 0, 2, 0.f, 0)
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// constant border with unaligned row offset
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|| test_padding(a, 2, 2, 2, 2, 0, 0, 0, 1.f, 0)
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|| test_padding(b, 2, 2, 2, 2, 0, 0, 0, 2.f, 0)
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|| test_padding(c, 2, 2, 2, 2, 0, 0, 0, -3.f, 0)
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// large aligned row extension
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|| test_padding(a, 16, 16, 2, 5, 0, 0, 0, -1.f, 0)
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|| test_padding(b, 16, 16, 2, 5, 0, 0, 0, -2.f, 0)
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|| test_padding(c, 16, 16, 2, 5, 0, 0, 0, 3.f, 0)
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// unaligned row offset with scalar and packed replicate output
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|| test_padding(a, 3, 1, 3, 1, 0, 0, 1, 0.f, 0)
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|| test_padding(c, 3, 1, 3, 1, 0, 0, 1, 0.f, 0)
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// aligned row and one-sided column replicate border
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|| test_padding(a, 4, 4, 0, 1, 0, 0, 1, 0.f, 0)
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|| test_padding(b, 4, 4, 0, 1, 0, 0, 1, 0.f, 0)
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|| test_padding(c, 4, 4, 0, 1, 0, 0, 1, 0.f, 0)
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// unaligned row reflect border
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|| test_padding(a, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
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|| test_padding(b, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
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|| test_padding(c, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
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// scalar reflect geometry with aligned output
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|| test_padding(c, 2, 6, 1, 0, 0, 0, 2, 0.f, 0);
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}
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static int test_padding_float_1d()
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{
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ncnn::Mat a = RandomMat(128);
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ncnn::Mat b = RandomMat(124);
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ncnn::Mat c = RandomMat(127);
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return 0
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// identity
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|| test_padding(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
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// unaligned constant offset and aligned output
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|| test_padding(a, 0, 0, 2, 2, 0, 0, 0, 1.f, 0)
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|| test_padding(b, 0, 0, 2, 2, 0, 0, 0, 2.f, 0)
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|| test_padding(c, 0, 0, 2, 2, 0, 0, 0, -3.f, 0)
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// large aligned constant offset
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|| test_padding(a, 0, 0, 32, 16, 0, 0, 0, -1.f, 0)
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|| test_padding(b, 0, 0, 32, 16, 0, 0, 0, -2.f, 0)
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|| test_padding(c, 0, 0, 32, 16, 0, 0, 0, 3.f, 0)
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// one-sided replicate output packing
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|| test_padding(a, 0, 0, 0, 1, 0, 0, 1, 0.f, 0)
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|| test_padding(b, 0, 0, 0, 1, 0, 0, 1, 0.f, 0)
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|| test_padding(c, 0, 0, 0, 1, 0, 0, 1, 0.f, 0)
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// aligned replicate offset
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|| test_padding(a, 0, 0, 4, 12, 0, 0, 1, 0.f, 0)
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|| test_padding(b, 0, 0, 4, 12, 0, 0, 1, 0.f, 0)
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|| test_padding(c, 0, 0, 4, 12, 0, 0, 1, 0.f, 0)
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// unaligned reflect offset
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|| test_padding(a, 0, 0, 2, 3, 0, 0, 2, 0.f, 0)
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|| test_padding(b, 0, 0, 2, 3, 0, 0, 2, 0.f, 0)
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|| test_padding(c, 0, 0, 2, 3, 0, 0, 2, 0.f, 0)
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// aligned reflect offset
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|| test_padding(a, 0, 0, 10, 6, 0, 0, 2, 0.f, 0)
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|| test_padding(b, 0, 0, 10, 6, 0, 0, 2, 0.f, 0)
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|| test_padding(c, 0, 0, 10, 6, 0, 0, 2, 0.f, 0);
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}
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static int test_padding_int8(const ncnn::Mat& a, int top, int bottom, int left, int right, int front, int behind, int type, float value, int per_channel_pad_data_size)
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{
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// TODO enable padding int8 with per_channel_pad_data_size
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per_channel_pad_data_size = 0;
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ncnn::ParamDict pd;
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pd.set(0, top);
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pd.set(1, bottom);
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pd.set(2, left);
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pd.set(3, right);
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pd.set(4, type);
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pd.set(5, value);
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pd.set(6, per_channel_pad_data_size);
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pd.set(7, front);
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pd.set(8, behind);
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std::vector<ncnn::Mat> weights(per_channel_pad_data_size ? 1 : 0);
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if (per_channel_pad_data_size)
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weights[0] = RandomMat(per_channel_pad_data_size);
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int flag = TEST_LAYER_DISABLE_AUTO_INPUT_CASTING;
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int ret = test_layer("Padding", pd, weights, a, 0.001, flag);
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if (ret != 0)
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{
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fprintf(stderr, "test_padding_int8 failed a.dims=%d a=(%d %d %d %d) top=%d bottom=%d left=%d right=%d front=%d behind=%d type=%d value=%f per_channel_pad_data_size=%d\n", a.dims, a.w, a.h, a.d, a.c, top, bottom, left, right, front, behind, type, value, per_channel_pad_data_size);
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}
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return ret;
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}
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static int test_padding_int8_4d()
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{
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ncnn::Mat a = RandomS8Mat(9, 10, 11, 96);
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ncnn::Mat b = RandomS8Mat(10, 12, 13, 44);
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ncnn::Mat c = RandomS8Mat(8, 7, 9, 13);
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return 0
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// identity
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|| test_padding_int8(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
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// constant border across scalar and packed channels
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|| test_padding_int8(a, 2, 2, 2, 2, 1, 1, 0, 1.f, 0)
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|| test_padding_int8(b, 2, 2, 2, 2, 1, 1, 0, 2.f, 0)
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|| test_padding_int8(c, 2, 2, 2, 2, 1, 1, 0, -3.f, 0)
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// per-channel constant border
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|| test_padding_int8(a, 2, 1, 2, 1, 2, 1, 0, 0.f, a.c)
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|| test_padding_int8(b, 2, 1, 2, 1, 2, 1, 0, 0.f, b.c)
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|| test_padding_int8(c, 2, 1, 2, 1, 2, 1, 0, 0.f, c.c)
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// one-sided border
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|| test_padding_int8(a, 0, 1, 0, 1, 0, 1, 0, 0.f, 0)
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|| test_padding_int8(c, 0, 1, 0, 1, 0, 1, 0, 0.f, 0)
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// asymmetric border
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|| test_padding_int8(a, 1, 2, 3, 4, 5, 6, 0, 0.f, 0)
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|| test_padding_int8(c, 1, 2, 3, 4, 5, 6, 0, 0.f, 0)
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// alternate border extents
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|| test_padding_int8(b, 2, 3, 2, 3, 2, 3, 0, 0.f, 0)
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// opposite signed constant
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|| test_padding_int8(c, 1, 1, 1, 1, 1, 1, 0, 3.f, 0)
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// replicate border across channel packs
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|| test_padding_int8(a, 1, 2, 3, 1, 2, 1, 1, 0.f, 0)
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|| test_padding_int8(b, 2, 1, 1, 3, 1, 2, 1, 0.f, 0)
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|| test_padding_int8(c, 1, 1, 2, 1, 1, 1, 1, 0.f, 0)
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// reflect border across channel packs
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|| test_padding_int8(a, 2, 1, 1, 2, 1, 2, 2, 0.f, 0)
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|| test_padding_int8(b, 1, 2, 2, 1, 2, 1, 2, 0.f, 0)
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|| test_padding_int8(c, 1, 1, 1, 2, 1, 1, 2, 0.f, 0);
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}
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static int test_padding_int8_3d()
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{
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ncnn::Mat a = RandomS8Mat(9, 11, 96);
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ncnn::Mat b = RandomS8Mat(10, 13, 44);
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ncnn::Mat c = RandomS8Mat(8, 9, 13);
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return 0
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// identity
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|| test_padding_int8(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
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// constant spatial border
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|| test_padding_int8(a, 2, 2, 2, 2, 0, 0, 0, 1.f, 0)
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|| test_padding_int8(b, 2, 2, 2, 2, 0, 0, 0, 2.f, 0)
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|| test_padding_int8(c, 2, 2, 2, 2, 0, 0, 0, -3.f, 0)
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// per-channel spatial border
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|| test_padding_int8(a, 2, 1, 2, 1, 0, 0, 0, 0.f, a.c)
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|| test_padding_int8(b, 2, 1, 2, 1, 0, 0, 0, 0.f, b.c)
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|| test_padding_int8(c, 2, 1, 2, 1, 0, 0, 0, 0.f, c.c)
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// one-sided replicate border
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|| test_padding_int8(a, 0, 1, 0, 1, 0, 0, 1, 0.f, 0)
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|| test_padding_int8(b, 0, 1, 0, 1, 0, 0, 1, 0.f, 0)
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|| test_padding_int8(c, 0, 1, 0, 1, 0, 0, 1, 0.f, 0)
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// spatial replicate with unchanged channel packing
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|| test_padding_int8(a, 1, 2, 3, 4, 0, 0, 1, 0.f, 0)
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|| test_padding_int8(b, 1, 2, 3, 4, 0, 0, 1, 0.f, 0)
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|| test_padding_int8(c, 1, 2, 3, 4, 0, 0, 1, 0.f, 0)
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// reflect spatial border
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|| test_padding_int8(a, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
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|| test_padding_int8(b, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
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|| test_padding_int8(c, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
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// constant channel extension
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|| test_padding_int8(a, 1, 1, 1, 1, 1, 1, 0, -1.f, 0)
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|| test_padding_int8(b, 1, 1, 1, 1, 1, 1, 0, -2.f, 0)
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|| test_padding_int8(c, 1, 1, 1, 1, 1, 1, 0, 3.f, 0)
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// per-channel unaligned channel extension
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|| test_padding_int8(a, 2, 1, 0, 0, 2, 3, 0, 0.f, a.c + 5)
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|| test_padding_int8(b, 2, 1, 0, 0, 2, 3, 0, 0.f, b.c + 5)
|
|
|| test_padding_int8(c, 2, 1, 0, 0, 2, 3, 0, 0.f, c.c + 5)
|
|
|
|
// per-channel large aligned channel extension
|
|
|| test_padding_int8(a, 1, 2, 3, 4, 8, 4, 0, 0.f, a.c + 12)
|
|
|| test_padding_int8(b, 1, 2, 3, 4, 8, 4, 0, 0.f, b.c + 12)
|
|
|| test_padding_int8(c, 1, 2, 3, 4, 8, 4, 0, 0.f, c.c + 12)
|
|
|
|
// channel-only replicate extension
|
|
|| test_padding_int8(a, 0, 0, 0, 0, 3, 1, 1, 0.f, 0)
|
|
|| test_padding_int8(b, 0, 0, 0, 0, 3, 1, 1, 0.f, 0)
|
|
|| test_padding_int8(c, 0, 0, 0, 0, 3, 1, 1, 0.f, 0)
|
|
|
|
// aligned channel and spatial replicate border
|
|
|| test_padding_int8(a, 2, 0, 1, 0, 4, 4, 1, 0.f, 0)
|
|
|| test_padding_int8(b, 2, 0, 1, 0, 4, 4, 1, 0.f, 0)
|
|
|| test_padding_int8(c, 2, 0, 1, 0, 4, 4, 1, 0.f, 0)
|
|
|
|
// one-sided reflect channel extension
|
|
|| test_padding_int8(a, 2, 0, 2, 0, 0, 2, 2, 0.f, 0)
|
|
|| test_padding_int8(b, 2, 0, 2, 0, 0, 2, 2, 0.f, 0)
|
|
|| test_padding_int8(c, 2, 0, 2, 0, 0, 2, 2, 0.f, 0)
|
|
|
|
// aligned output with unaligned reflect offset
|
|
|| test_padding_int8(a, 4, 2, 1, 3, 3, 5, 2, 0.f, 0)
|
|
|| test_padding_int8(b, 4, 2, 1, 3, 3, 5, 2, 0.f, 0)
|
|
|| test_padding_int8(c, 4, 2, 1, 3, 3, 5, 2, 0.f, 0);
|
|
}
|
|
|
|
static int test_padding_int8_2d()
|
|
{
|
|
ncnn::Mat a = RandomS8Mat(15, 96);
|
|
ncnn::Mat b = RandomS8Mat(19, 44);
|
|
ncnn::Mat c = RandomS8Mat(17, 15);
|
|
|
|
return 0
|
|
|
|
// identity
|
|
|| test_padding_int8(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
|
|
|
|
// horizontal constant border and aligned row packs
|
|
|| test_padding_int8(a, 0, 0, 1, 1, 0, 0, 0, 1.f, 0)
|
|
|| test_padding_int8(c, 0, 0, 1, 1, 0, 0, 0, -3.f, 0)
|
|
|
|
// horizontal replicate border
|
|
|| test_padding_int8(a, 0, 0, 3, 4, 0, 0, 1, 0.f, 0)
|
|
|| test_padding_int8(b, 0, 0, 3, 4, 0, 0, 1, 0.f, 0)
|
|
|| test_padding_int8(c, 0, 0, 3, 4, 0, 0, 1, 0.f, 0)
|
|
|
|
// horizontal reflect border
|
|
|| test_padding_int8(a, 0, 0, 3, 2, 0, 0, 2, 0.f, 0)
|
|
|| test_padding_int8(b, 0, 0, 3, 2, 0, 0, 2, 0.f, 0)
|
|
|| test_padding_int8(c, 0, 0, 3, 2, 0, 0, 2, 0.f, 0)
|
|
|
|
// constant border with unaligned row offset
|
|
|| test_padding_int8(a, 2, 2, 2, 2, 0, 0, 0, 1.f, 0)
|
|
|| test_padding_int8(b, 2, 2, 2, 2, 0, 0, 0, 2.f, 0)
|
|
|| test_padding_int8(c, 2, 2, 2, 2, 0, 0, 0, -3.f, 0)
|
|
|
|
// large aligned row extension
|
|
|| test_padding_int8(a, 8, 8, 2, 5, 0, 0, 0, -1.f, 0)
|
|
|| test_padding_int8(b, 8, 8, 2, 5, 0, 0, 0, -2.f, 0)
|
|
|| test_padding_int8(c, 8, 8, 2, 5, 0, 0, 0, 3.f, 0)
|
|
|
|
// unaligned row offset with scalar and packed replicate output
|
|
|| test_padding_int8(a, 3, 1, 3, 1, 0, 0, 1, 0.f, 0)
|
|
|| test_padding_int8(c, 3, 1, 3, 1, 0, 0, 1, 0.f, 0)
|
|
|
|
// aligned row and one-sided column replicate border
|
|
|| test_padding_int8(a, 4, 4, 0, 1, 0, 0, 1, 0.f, 0)
|
|
|| test_padding_int8(b, 4, 4, 0, 1, 0, 0, 1, 0.f, 0)
|
|
|| test_padding_int8(c, 4, 4, 0, 1, 0, 0, 1, 0.f, 0)
|
|
|
|
// unaligned row reflect border
|
|
|| test_padding_int8(a, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
|
|
|| test_padding_int8(b, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
|
|
|| test_padding_int8(c, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
|
|
|
|
// scalar reflect geometry with aligned output
|
|
|| test_padding_int8(c, 2, 6, 1, 0, 0, 0, 2, 0.f, 0);
|
|
}
|
|
|
|
static int test_padding_int8_1d()
|
|
{
|
|
ncnn::Mat a = RandomS8Mat(128);
|
|
ncnn::Mat b = RandomS8Mat(124);
|
|
ncnn::Mat c = RandomS8Mat(127);
|
|
|
|
return 0
|
|
|
|
// identity
|
|
|| test_padding_int8(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
|
|
|
|
// unaligned constant offset and aligned output
|
|
|| test_padding_int8(a, 0, 0, 2, 2, 0, 0, 0, 1.f, 0)
|
|
|| test_padding_int8(b, 0, 0, 2, 2, 0, 0, 0, 2.f, 0)
|
|
|| test_padding_int8(c, 0, 0, 2, 2, 0, 0, 0, -3.f, 0)
|
|
|
|
// large aligned constant offset
|
|
|| test_padding_int8(a, 0, 0, 16, 8, 0, 0, 0, -1.f, 0)
|
|
|| test_padding_int8(b, 0, 0, 16, 8, 0, 0, 0, -2.f, 0)
|
|
|| test_padding_int8(c, 0, 0, 16, 8, 0, 0, 0, 3.f, 0)
|
|
|
|
// one-sided replicate output packing
|
|
|| test_padding_int8(a, 0, 0, 0, 1, 0, 0, 1, 0.f, 0)
|
|
|| test_padding_int8(b, 0, 0, 0, 1, 0, 0, 1, 0.f, 0)
|
|
|| test_padding_int8(c, 0, 0, 0, 1, 0, 0, 1, 0.f, 0)
|
|
|
|
// aligned replicate offset
|
|
|| test_padding_int8(a, 0, 0, 4, 12, 0, 0, 1, 0.f, 0)
|
|
|| test_padding_int8(b, 0, 0, 4, 12, 0, 0, 1, 0.f, 0)
|
|
|| test_padding_int8(c, 0, 0, 4, 12, 0, 0, 1, 0.f, 0)
|
|
|
|
// unaligned reflect offset
|
|
|| test_padding_int8(a, 0, 0, 2, 3, 0, 0, 2, 0.f, 0)
|
|
|| test_padding_int8(b, 0, 0, 2, 3, 0, 0, 2, 0.f, 0)
|
|
|| test_padding_int8(c, 0, 0, 2, 3, 0, 0, 2, 0.f, 0)
|
|
|
|
// aligned reflect offset
|
|
|| test_padding_int8(a, 0, 0, 10, 6, 0, 0, 2, 0.f, 0)
|
|
|| test_padding_int8(b, 0, 0, 10, 6, 0, 0, 2, 0.f, 0)
|
|
|| test_padding_int8(c, 0, 0, 10, 6, 0, 0, 2, 0.f, 0);
|
|
}
|
|
|
|
#if NCNN_VALIDATION
|
|
static int test_padding_load_param()
|
|
{
|
|
ncnn::ParamDict base;
|
|
if (test_layer_param(ncnn::LayerType::Padding, base, 0) != 0)
|
|
return -1;
|
|
|
|
for (int i = 0; i <= 2; i++)
|
|
{
|
|
if (test_layer_param(ncnn::LayerType::Padding, base, 4, i, 0) != 0)
|
|
return -1;
|
|
}
|
|
|
|
const int invalid[] = {-1, 3, INT_MIN, INT_MAX};
|
|
for (int i = 0; i < 4; i++)
|
|
{
|
|
if (test_layer_param(ncnn::LayerType::Padding, base, 4, invalid[i], -1) != 0)
|
|
return -1;
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
#endif // NCNN_VALIDATION
|
|
|
|
int main()
|
|
{
|
|
SRAND(7767517);
|
|
|
|
return 0
|
|
|| test_padding_float_4d()
|
|
|| test_padding_float_3d()
|
|
|| test_padding_float_2d()
|
|
|| test_padding_float_1d()
|
|
|| test_padding_int8_4d()
|
|
|| test_padding_int8_3d()
|
|
|| test_padding_int8_2d()
|
|
|| test_padding_int8_1d()
|
|
#if NCNN_VALIDATION
|
|
|| test_padding_load_param()
|
|
#endif // NCNN_VALIDATION
|
|
;
|
|
}
|