Files
ncnn/tests/test_padding.cpp
nihui 41f031e045 reduce redundant tests that do not contribute to coverage (#7042)
* adjust tests
* opt shader coverage op
* update gpu_coverage.cpp atomicor coalesce
2026-10-05 08:57:20 +08:00

533 lines
20 KiB
C++

// Copyright 2020 Tencent
// SPDX-License-Identifier: BSD-3-Clause
#include "testutil.h"
#include "layer_type.h"
#include <limits.h>
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)
{
ncnn::ParamDict pd;
pd.set(0, top);
pd.set(1, bottom);
pd.set(2, left);
pd.set(3, right);
pd.set(4, type);
pd.set(5, value);
pd.set(6, per_channel_pad_data_size);
pd.set(7, front);
pd.set(8, behind);
std::vector<ncnn::Mat> weights(per_channel_pad_data_size ? 1 : 0);
if (per_channel_pad_data_size)
weights[0] = RandomMat(per_channel_pad_data_size);
int ret = test_layer("Padding", pd, weights, a);
if (ret != 0)
{
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);
}
return ret;
}
static int test_padding_float_4d()
{
ncnn::Mat a = RandomMat(9, 10, 11, 96);
ncnn::Mat b = RandomMat(10, 12, 13, 44);
ncnn::Mat c = RandomMat(8, 7, 9, 13);
return 0
// identity
|| test_padding(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
// constant border across scalar and packed channels
|| test_padding(a, 2, 2, 2, 2, 2, 2, 0, 1.f, 0)
|| test_padding(b, 2, 2, 2, 2, 2, 2, 0, 2.f, 0)
|| test_padding(c, 2, 2, 2, 2, 2, 2, 0, -3.f, 0)
// per-channel constant border
|| test_padding(a, 2, 1, 2, 1, 2, 1, 0, 0.f, a.c)
|| test_padding(b, 2, 1, 2, 1, 2, 1, 0, 0.f, b.c)
|| test_padding(c, 2, 1, 2, 1, 2, 1, 0, 0.f, c.c)
// one-sided border
|| test_padding(a, 0, 1, 0, 1, 0, 1, 0, 0.f, 0)
|| test_padding(c, 0, 1, 0, 1, 0, 1, 0, 0.f, 0)
// asymmetric border
|| test_padding(a, 1, 2, 3, 4, 5, 6, 0, 0.f, 0)
|| test_padding(c, 1, 2, 3, 4, 5, 6, 0, 0.f, 0)
// alternate border extents
|| test_padding(b, 2, 3, 2, 3, 2, 3, 0, 0.f, 0)
// opposite signed constant
|| test_padding(c, 1, 1, 1, 1, 1, 1, 0, 3.f, 0)
// replicate border across channel packs
|| test_padding(a, 1, 2, 3, 1, 2, 1, 1, 0.f, 0)
|| test_padding(b, 2, 1, 1, 3, 1, 2, 1, 0.f, 0)
|| test_padding(c, 1, 1, 2, 1, 1, 1, 1, 0.f, 0)
// reflect border across channel packs
|| test_padding(a, 2, 1, 1, 2, 1, 2, 2, 0.f, 0)
|| test_padding(b, 1, 2, 2, 1, 2, 1, 2, 0.f, 0)
|| test_padding(c, 1, 1, 1, 2, 1, 1, 2, 0.f, 0);
}
static int test_padding_float_3d()
{
ncnn::Mat a = RandomMat(9, 11, 96);
ncnn::Mat b = RandomMat(10, 13, 44);
ncnn::Mat c = RandomMat(8, 9, 13);
return 0
// identity
|| test_padding(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
// constant spatial border
|| test_padding(a, 2, 2, 2, 2, 0, 0, 0, 1.f, 0)
|| test_padding(b, 2, 2, 2, 2, 0, 0, 0, 2.f, 0)
|| test_padding(c, 2, 2, 2, 2, 0, 0, 0, -3.f, 0)
// per-channel spatial border
|| test_padding(a, 2, 1, 2, 1, 0, 0, 0, 0.f, a.c)
|| test_padding(b, 2, 1, 2, 1, 0, 0, 0, 0.f, b.c)
|| test_padding(c, 2, 1, 2, 1, 0, 0, 0, 0.f, c.c)
// one-sided replicate border
|| test_padding(a, 0, 1, 0, 1, 0, 0, 1, 0.f, 0)
|| test_padding(b, 0, 1, 0, 1, 0, 0, 1, 0.f, 0)
|| test_padding(c, 0, 1, 0, 1, 0, 0, 1, 0.f, 0)
// spatial replicate with unchanged channel packing
|| test_padding(a, 1, 2, 3, 4, 0, 0, 1, 0.f, 0)
|| test_padding(b, 1, 2, 3, 4, 0, 0, 1, 0.f, 0)
|| test_padding(c, 1, 2, 3, 4, 0, 0, 1, 0.f, 0)
// reflect spatial border
|| test_padding(a, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
|| test_padding(b, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
|| test_padding(c, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
// constant channel extension
|| test_padding(a, 1, 1, 1, 1, 1, 1, 0, -1.f, 0)
|| test_padding(b, 1, 1, 1, 1, 1, 1, 0, -2.f, 0)
|| test_padding(c, 1, 1, 1, 1, 1, 1, 0, 3.f, 0)
// per-channel unaligned channel extension
|| test_padding(a, 2, 1, 0, 0, 2, 3, 0, 0.f, a.c + 5)
|| test_padding(b, 2, 1, 0, 0, 2, 3, 0, 0.f, b.c + 5)
|| test_padding(c, 2, 1, 0, 0, 2, 3, 0, 0.f, c.c + 5)
// per-channel large aligned channel extension
|| test_padding(a, 1, 2, 3, 4, 32, 16, 0, 0.f, a.c + 48)
|| test_padding(b, 1, 2, 3, 4, 32, 16, 0, 0.f, b.c + 48)
|| test_padding(c, 1, 2, 3, 4, 32, 16, 0, 0.f, c.c + 48)
// channel-only replicate extension
|| test_padding(a, 0, 0, 0, 0, 3, 1, 1, 0.f, 0)
|| test_padding(b, 0, 0, 0, 0, 3, 1, 1, 0.f, 0)
|| test_padding(c, 0, 0, 0, 0, 3, 1, 1, 0.f, 0)
// aligned channel and spatial replicate border
|| test_padding(a, 2, 0, 1, 0, 4, 4, 1, 0.f, 0)
|| test_padding(b, 2, 0, 1, 0, 4, 4, 1, 0.f, 0)
|| test_padding(c, 2, 0, 1, 0, 4, 4, 1, 0.f, 0)
// one-sided reflect channel extension
|| test_padding(a, 2, 0, 2, 0, 0, 2, 2, 0.f, 0)
|| test_padding(b, 2, 0, 2, 0, 0, 2, 2, 0.f, 0)
|| test_padding(c, 2, 0, 2, 0, 0, 2, 2, 0.f, 0)
// aligned output with unaligned reflect offset
|| test_padding(a, 4, 2, 1, 3, 3, 5, 2, 0.f, 0)
|| test_padding(b, 4, 2, 1, 3, 3, 5, 2, 0.f, 0)
|| test_padding(c, 4, 2, 1, 3, 3, 5, 2, 0.f, 0);
}
static int test_padding_float_2d()
{
ncnn::Mat a = RandomMat(15, 96);
ncnn::Mat b = RandomMat(19, 44);
ncnn::Mat c = RandomMat(17, 15);
return 0
// identity
|| test_padding(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
// scalar horizontal constant border
|| test_padding(c, 0, 0, 1, 1, 0, 0, 0, -3.f, 0)
// horizontal replicate border
|| test_padding(a, 0, 0, 3, 4, 0, 0, 1, 0.f, 0)
|| test_padding(b, 0, 0, 3, 4, 0, 0, 1, 0.f, 0)
|| test_padding(c, 0, 0, 3, 4, 0, 0, 1, 0.f, 0)
// horizontal reflect border
|| test_padding(a, 0, 0, 3, 2, 0, 0, 2, 0.f, 0)
|| test_padding(b, 0, 0, 3, 2, 0, 0, 2, 0.f, 0)
|| test_padding(c, 0, 0, 3, 2, 0, 0, 2, 0.f, 0)
// constant border with unaligned row offset
|| test_padding(a, 2, 2, 2, 2, 0, 0, 0, 1.f, 0)
|| test_padding(b, 2, 2, 2, 2, 0, 0, 0, 2.f, 0)
|| test_padding(c, 2, 2, 2, 2, 0, 0, 0, -3.f, 0)
// large aligned row extension
|| test_padding(a, 16, 16, 2, 5, 0, 0, 0, -1.f, 0)
|| test_padding(b, 16, 16, 2, 5, 0, 0, 0, -2.f, 0)
|| test_padding(c, 16, 16, 2, 5, 0, 0, 0, 3.f, 0)
// unaligned row offset with scalar and packed replicate output
|| test_padding(a, 3, 1, 3, 1, 0, 0, 1, 0.f, 0)
|| test_padding(c, 3, 1, 3, 1, 0, 0, 1, 0.f, 0)
// aligned row and one-sided column replicate border
|| test_padding(a, 4, 4, 0, 1, 0, 0, 1, 0.f, 0)
|| test_padding(b, 4, 4, 0, 1, 0, 0, 1, 0.f, 0)
|| test_padding(c, 4, 4, 0, 1, 0, 0, 1, 0.f, 0)
// unaligned row reflect border
|| test_padding(a, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
|| test_padding(b, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
|| test_padding(c, 2, 3, 2, 3, 0, 0, 2, 0.f, 0)
// scalar reflect geometry with aligned output
|| test_padding(c, 2, 6, 1, 0, 0, 0, 2, 0.f, 0);
}
static int test_padding_float_1d()
{
ncnn::Mat a = RandomMat(128);
ncnn::Mat b = RandomMat(124);
ncnn::Mat c = RandomMat(127);
return 0
// identity
|| test_padding(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
// unaligned constant offset and aligned output
|| test_padding(a, 0, 0, 2, 2, 0, 0, 0, 1.f, 0)
|| test_padding(b, 0, 0, 2, 2, 0, 0, 0, 2.f, 0)
|| test_padding(c, 0, 0, 2, 2, 0, 0, 0, -3.f, 0)
// large aligned constant offset
|| test_padding(a, 0, 0, 32, 16, 0, 0, 0, -1.f, 0)
|| test_padding(b, 0, 0, 32, 16, 0, 0, 0, -2.f, 0)
|| test_padding(c, 0, 0, 32, 16, 0, 0, 0, 3.f, 0)
// one-sided replicate output packing
|| test_padding(a, 0, 0, 0, 1, 0, 0, 1, 0.f, 0)
|| test_padding(b, 0, 0, 0, 1, 0, 0, 1, 0.f, 0)
|| test_padding(c, 0, 0, 0, 1, 0, 0, 1, 0.f, 0)
// aligned replicate offset
|| test_padding(a, 0, 0, 4, 12, 0, 0, 1, 0.f, 0)
|| test_padding(b, 0, 0, 4, 12, 0, 0, 1, 0.f, 0)
|| test_padding(c, 0, 0, 4, 12, 0, 0, 1, 0.f, 0)
// unaligned reflect offset
|| test_padding(a, 0, 0, 2, 3, 0, 0, 2, 0.f, 0)
|| test_padding(b, 0, 0, 2, 3, 0, 0, 2, 0.f, 0)
|| test_padding(c, 0, 0, 2, 3, 0, 0, 2, 0.f, 0)
// aligned reflect offset
|| test_padding(a, 0, 0, 10, 6, 0, 0, 2, 0.f, 0)
|| test_padding(b, 0, 0, 10, 6, 0, 0, 2, 0.f, 0)
|| test_padding(c, 0, 0, 10, 6, 0, 0, 2, 0.f, 0);
}
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)
{
// TODO enable padding int8 with per_channel_pad_data_size
per_channel_pad_data_size = 0;
ncnn::ParamDict pd;
pd.set(0, top);
pd.set(1, bottom);
pd.set(2, left);
pd.set(3, right);
pd.set(4, type);
pd.set(5, value);
pd.set(6, per_channel_pad_data_size);
pd.set(7, front);
pd.set(8, behind);
std::vector<ncnn::Mat> weights(per_channel_pad_data_size ? 1 : 0);
if (per_channel_pad_data_size)
weights[0] = RandomMat(per_channel_pad_data_size);
int flag = TEST_LAYER_DISABLE_AUTO_INPUT_CASTING;
int ret = test_layer("Padding", pd, weights, a, 0.001, flag);
if (ret != 0)
{
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);
}
return ret;
}
static int test_padding_int8_4d()
{
ncnn::Mat a = RandomS8Mat(9, 10, 11, 96);
ncnn::Mat b = RandomS8Mat(10, 12, 13, 44);
ncnn::Mat c = RandomS8Mat(8, 7, 9, 13);
return 0
// identity
|| test_padding_int8(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
// constant border across scalar and packed channels
|| test_padding_int8(a, 2, 2, 2, 2, 1, 1, 0, 1.f, 0)
|| test_padding_int8(b, 2, 2, 2, 2, 1, 1, 0, 2.f, 0)
|| test_padding_int8(c, 2, 2, 2, 2, 1, 1, 0, -3.f, 0)
// per-channel constant border
|| test_padding_int8(a, 2, 1, 2, 1, 2, 1, 0, 0.f, a.c)
|| test_padding_int8(b, 2, 1, 2, 1, 2, 1, 0, 0.f, b.c)
|| test_padding_int8(c, 2, 1, 2, 1, 2, 1, 0, 0.f, c.c)
// one-sided border
|| test_padding_int8(a, 0, 1, 0, 1, 0, 1, 0, 0.f, 0)
|| test_padding_int8(c, 0, 1, 0, 1, 0, 1, 0, 0.f, 0)
// asymmetric border
|| test_padding_int8(a, 1, 2, 3, 4, 5, 6, 0, 0.f, 0)
|| test_padding_int8(c, 1, 2, 3, 4, 5, 6, 0, 0.f, 0)
// alternate border extents
|| test_padding_int8(b, 2, 3, 2, 3, 2, 3, 0, 0.f, 0)
// opposite signed constant
|| test_padding_int8(c, 1, 1, 1, 1, 1, 1, 0, 3.f, 0)
// replicate border across channel packs
|| test_padding_int8(a, 1, 2, 3, 1, 2, 1, 1, 0.f, 0)
|| test_padding_int8(b, 2, 1, 1, 3, 1, 2, 1, 0.f, 0)
|| test_padding_int8(c, 1, 1, 2, 1, 1, 1, 1, 0.f, 0)
// reflect border across channel packs
|| test_padding_int8(a, 2, 1, 1, 2, 1, 2, 2, 0.f, 0)
|| test_padding_int8(b, 1, 2, 2, 1, 2, 1, 2, 0.f, 0)
|| test_padding_int8(c, 1, 1, 1, 2, 1, 1, 2, 0.f, 0);
}
static int test_padding_int8_3d()
{
ncnn::Mat a = RandomS8Mat(9, 11, 96);
ncnn::Mat b = RandomS8Mat(10, 13, 44);
ncnn::Mat c = RandomS8Mat(8, 9, 13);
return 0
// identity
|| test_padding_int8(a, 0, 0, 0, 0, 0, 0, 0, 0.f, 0)
// constant spatial border
|| 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)
// per-channel spatial border
|| test_padding_int8(a, 2, 1, 2, 1, 0, 0, 0, 0.f, a.c)
|| test_padding_int8(b, 2, 1, 2, 1, 0, 0, 0, 0.f, b.c)
|| test_padding_int8(c, 2, 1, 2, 1, 0, 0, 0, 0.f, c.c)
// one-sided replicate border
|| test_padding_int8(a, 0, 1, 0, 1, 0, 0, 1, 0.f, 0)
|| test_padding_int8(b, 0, 1, 0, 1, 0, 0, 1, 0.f, 0)
|| test_padding_int8(c, 0, 1, 0, 1, 0, 0, 1, 0.f, 0)
// spatial replicate with unchanged channel packing
|| test_padding_int8(a, 1, 2, 3, 4, 0, 0, 1, 0.f, 0)
|| test_padding_int8(b, 1, 2, 3, 4, 0, 0, 1, 0.f, 0)
|| test_padding_int8(c, 1, 2, 3, 4, 0, 0, 1, 0.f, 0)
// reflect spatial 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)
// constant channel extension
|| test_padding_int8(a, 1, 1, 1, 1, 1, 1, 0, -1.f, 0)
|| test_padding_int8(b, 1, 1, 1, 1, 1, 1, 0, -2.f, 0)
|| test_padding_int8(c, 1, 1, 1, 1, 1, 1, 0, 3.f, 0)
// per-channel unaligned channel extension
|| test_padding_int8(a, 2, 1, 0, 0, 2, 3, 0, 0.f, a.c + 5)
|| 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
;
}