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https://github.com/Tencent/ncnn.git
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nihui
41f031e045
* adjust tests * opt shader coverage op * update gpu_coverage.cpp atomicor coalesce
348 lines
9.2 KiB
C++
348 lines
9.2 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 std::vector<int> IntArray(int a0)
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{
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std::vector<int> m(1);
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m[0] = a0;
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return m;
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}
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static std::vector<int> IntArray(int a0, int a1)
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{
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std::vector<int> m(2);
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m[0] = a0;
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m[1] = a1;
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return m;
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}
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static std::vector<int> IntArray(int a0, int a1, int a2)
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{
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std::vector<int> m(3);
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m[0] = a0;
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m[1] = a1;
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m[2] = a2;
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return m;
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}
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static std::vector<int> IntArray(int a0, int a1, int a2, int a3)
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{
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std::vector<int> m(4);
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m[0] = a0;
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m[1] = a1;
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m[2] = a2;
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m[3] = a3;
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return m;
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}
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static void print_int_array(const std::vector<int>& a)
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{
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fprintf(stderr, "[");
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for (size_t i = 0; i < a.size(); i++)
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{
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fprintf(stderr, " %d", a[i]);
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}
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fprintf(stderr, " ]");
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}
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static int test_slice(const ncnn::Mat& a, const std::vector<int>& slices_array, int axis)
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{
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ncnn::Mat slices(slices_array.size());
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{
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int* p = slices;
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for (size_t i = 0; i < slices_array.size(); i++)
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{
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p[i] = slices_array[i];
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}
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}
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ncnn::ParamDict pd;
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pd.set(0, slices);
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pd.set(1, axis);
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std::vector<ncnn::Mat> weights(0);
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std::vector<ncnn::Mat> a0(1);
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a0[0] = a;
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int ret = test_layer("Slice", pd, weights, a0, slices.w, 0.001);
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if (ret != 0)
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{
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fprintf(stderr, "test_slice failed a.dims=%d a=(%d %d %d %d)", a.dims, a.w, a.h, a.d, a.c);
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fprintf(stderr, " slices=");
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print_int_array(slices_array);
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fprintf(stderr, " axis=%d\n", axis);
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}
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return ret;
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}
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static int test_slice_indices(const ncnn::Mat& a, const std::vector<int>& indices_array, int axis)
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{
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ncnn::Mat indices(indices_array.size());
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{
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int* p = indices;
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for (size_t i = 0; i < indices_array.size(); i++)
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{
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p[i] = indices_array[i];
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}
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}
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ncnn::ParamDict pd;
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pd.set(1, axis);
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pd.set(2, indices);
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std::vector<ncnn::Mat> weights(0);
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std::vector<ncnn::Mat> a0(1);
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a0[0] = a;
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int ret = test_layer("Slice", pd, weights, a0, indices.w, 0.001);
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if (ret != 0)
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{
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fprintf(stderr, "test_slice_indices failed a.dims=%d a=(%d %d %d %d)", a.dims, a.w, a.h, a.d, a.c);
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fprintf(stderr, " indices=");
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print_int_array(indices_array);
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fprintf(stderr, " axis=%d\n", axis);
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}
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return ret;
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}
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// channel partitions cover scalar and vector outputs and mixed packing conversions
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static int test_slice_channel_packing(const ncnn::Mat& a, int mixed_axis)
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{
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return 0
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|| test_slice(a, IntArray(-233, -233, -233), 0)
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|| test_slice(a, IntArray(3, 12, 16, -233), 0)
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|| test_slice(a, IntArray(12, 16, -233), 0)
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|| test_slice(a, IntArray(32, 8, -233), mixed_axis)
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|| test_slice_indices(a, IntArray(2, -24, -8), 0);
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}
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// the 60-element extent retains pack4 input and pack4-to-pack8/pack16 outputs
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static int test_slice_mixed_channel_packing(const ncnn::Mat& a, int mixed_axis)
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{
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return 0
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|| test_slice(a, IntArray(3, 12, 16, -233), 0)
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|| test_slice(a, IntArray(32, 8, -233), mixed_axis);
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}
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static int test_slice_depth(const ncnn::Mat& a)
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{
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return 0
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|| test_slice(a, IntArray(-233, -233, -233), 1)
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|| test_slice(a, IntArray(2, 12, 16, -233), 1)
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|| test_slice_indices(a, IntArray(4, 20, 4), 1);
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}
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static int test_slice_height_4d(const ncnn::Mat& a)
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{
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return 0
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|| test_slice(a, IntArray(-233, -233, -233), -2)
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|| test_slice(a, IntArray(16, 4, 5, -233), -2)
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|| test_slice_indices(a, IntArray(16, -16), -2);
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}
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static int test_slice_width_4d(const ncnn::Mat& a)
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{
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return 0
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|| test_slice(a, IntArray(-233, -233, -233), 3)
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|| test_slice(a, IntArray(8, 2, 16, -233), 3)
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|| test_slice_indices(a, IntArray(1, -12), 3);
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}
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static int test_slice_0()
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{
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ncnn::Mat channels[] = {
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RandomMat(30, 8, 4, 48),
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RandomMat(20, 8, 4, 51),
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RandomMat(30, 8, 4, 60)
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};
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ncnn::Mat depths[] = {
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RandomMat(30, 8, 36, 48),
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RandomMat(20, 8, 32, 51),
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RandomMat(30, 8, 36, 60)
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};
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ncnn::Mat heights[] = {
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RandomMat(30, 32, 4, 48),
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RandomMat(20, 30, 4, 51)
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};
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ncnn::Mat widths[] = {
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RandomMat(30, 8, 4, 48),
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RandomMat(36, 8, 4, 51)
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};
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return 0
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|| test_slice_channel_packing(channels[0], 0)
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|| test_slice_channel_packing(channels[1], 0)
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|| test_slice_mixed_channel_packing(channels[2], 0)
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|| test_slice_depth(depths[0])
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|| test_slice_depth(depths[1])
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// retain a pack4 spatial copy independently of mixed channel partitions
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|| test_slice(depths[2], IntArray(-233, -233, -233), 1)
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|| test_slice_height_4d(heights[0])
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|| test_slice_height_4d(heights[1])
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|| test_slice_width_4d(widths[0])
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|| test_slice_width_4d(widths[1])
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// large strides and mixed pack1/pack4 outputs cross allocator blocks
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|| test_slice_indices(RandomMat(36, 30, 32, 51), IntArray(4, 20, 4), 1)
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|| test_slice(RandomMat(30, 32, 36, 60), IntArray(3, 12, 16, -233), 0);
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}
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static int test_slice_spatial_3d(const ncnn::Mat& a)
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{
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return 0
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|| test_slice(a, IntArray(-233, -233, -233), 1)
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|| test_slice(a, IntArray(-233, -233, -233), -1)
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|| test_slice(a, IntArray(2, 12, 16, -233), 1)
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|| test_slice(a, IntArray(16, 4, 5, -233), -1)
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|| test_slice_indices(a, IntArray(4, 20, 4), 1)
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|| test_slice_indices(a, IntArray(1, -12), 2);
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}
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static int test_slice_1()
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{
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ncnn::Mat a[] = {
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RandomMat(51, 36, 48),
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RandomMat(48, 48, 51),
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RandomMat(51, 36, 60)
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};
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return 0
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|| test_slice_channel_packing(a[0], 0)
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|| test_slice_channel_packing(a[1], 0)
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|| test_slice_mixed_channel_packing(a[2], 0)
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|| test_slice_spatial_3d(a[0])
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|| test_slice_spatial_3d(a[1])
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|| test_slice(a[2], IntArray(-233, -233, -233), 1);
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}
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static int test_slice_spatial_2d(const ncnn::Mat& a)
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{
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return 0
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|| test_slice(a, IntArray(-233, -233, -233), -1)
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|| test_slice(a, IntArray(2, 12, 16, -233), -1)
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|| test_slice_indices(a, IntArray(1, -12), 1);
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}
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static int test_slice_2()
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{
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ncnn::Mat a[] = {
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RandomMat(36, 48),
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RandomMat(48, 51),
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RandomMat(36, 60)
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};
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return 0
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|| test_slice_channel_packing(a[0], -2)
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|| test_slice_channel_packing(a[1], -2)
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|| test_slice_mixed_channel_packing(a[2], -2)
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|| test_slice_spatial_2d(a[0])
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|| test_slice_spatial_2d(a[1])
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|| test_slice(a[2], IntArray(-233, -233, -233), -1);
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}
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static int test_slice_3()
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{
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ncnn::Mat a[] = {
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RandomMat(48),
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RandomMat(51),
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RandomMat(60)
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};
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return 0
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|| test_slice_channel_packing(a[0], -1)
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|| test_slice_channel_packing(a[1], -1)
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|| test_slice_mixed_channel_packing(a[2], -1);
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}
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static int test_slice_4()
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{
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ncnn::Mat a = RandomMat(31, 28);
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ncnn::Mat b = RandomMat(1, 21, 36);
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return test_slice(a, IntArray(4, -233), 0) || test_slice(b, IntArray(12, -233), 0);
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}
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static ncnn::Mat param_int_array(int size, int value)
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{
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ncnn::Mat m(size);
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int* p = m;
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for (int i = 0; i < size; i++)
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p[i] = value;
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return m;
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}
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#if NCNN_VALIDATION
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static int test_slice_load_param()
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{
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ncnn::ParamDict base;
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base.set(0, param_int_array(1, 1));
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if (test_layer_param(ncnn::LayerType::Slice, base, 0) != 0)
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return -1;
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{
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ncnn::ParamDict pd = base;
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pd.set(0, ncnn::Mat(0));
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pd.set(2, ncnn::Mat(0));
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if (test_layer_param(ncnn::LayerType::Slice, pd, 0) != 0)
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return -1;
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}
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ncnn::Mat missing_data(0);
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missing_data.w = 1;
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return 0
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|| test_layer_param(ncnn::LayerType::Slice, base, 0, missing_data, -1)
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|| test_layer_param(ncnn::LayerType::Slice, base, 2, missing_data, -1)
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|| test_layer_param(ncnn::LayerType::Slice, base, 0, ncnn::Mat(1, (size_t)1u), -1)
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|| test_layer_param(ncnn::LayerType::Slice, base, 0, ncnn::Mat(1, 2), -1)
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|| test_layer_param(ncnn::LayerType::Slice, base, 0, 1.f, -1)
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|| test_layer_param(ncnn::LayerType::Slice, base, 0, param_int_array(1, INT_MIN), -1);
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}
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static int test_slice_load_param_axis()
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{
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ncnn::ParamDict base;
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for (int i = -4; i <= 3; i++)
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{
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if (test_layer_param(ncnn::LayerType::Slice, base, 1, i, 0) != 0)
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return -1;
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}
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const int invalid[] = {-5, 4, INT_MIN, INT_MAX};
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for (int i = 0; i < 4; i++)
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{
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if (test_layer_param(ncnn::LayerType::Slice, base, 1, invalid[i], -1) != 0)
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return -1;
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}
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return 0;
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}
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#endif // NCNN_VALIDATION
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int main()
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{
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SRAND(7767517);
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return 0
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|| test_slice_0()
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|| test_slice_1()
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|| test_slice_2()
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|| test_slice_3()
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|| test_slice_4()
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#if NCNN_VALIDATION
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|| test_slice_load_param()
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|| test_slice_load_param_axis()
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#endif // NCNN_VALIDATION
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;
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}
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