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- // Copyright 2021 Tencent
- // SPDX-License-Identifier: BSD-3-Clause
-
- #include "testutil.h"
-
- #define OP_TYPE_MAX 11
-
- static int op_type = 0;
-
- static std::vector<int> IntArray(int a0)
- {
- std::vector<int> m(1);
- m[0] = a0;
- return m;
- }
-
- static std::vector<int> IntArray(int a0, int a1)
- {
- std::vector<int> m(2);
- m[0] = a0;
- m[1] = a1;
- return m;
- }
-
- static std::vector<int> IntArray(int a0, int a1, int a2)
- {
- std::vector<int> m(3);
- m[0] = a0;
- m[1] = a1;
- m[2] = a2;
- return m;
- }
-
- static std::vector<int> IntArray(int a0, int a1, int a2, int a3)
- {
- std::vector<int> m(4);
- m[0] = a0;
- m[1] = a1;
- m[2] = a2;
- m[3] = a3;
- return m;
- }
-
- static void print_int_array(const std::vector<int>& a)
- {
- fprintf(stderr, "[");
- for (size_t i = 0; i < a.size(); i++)
- {
- fprintf(stderr, " %d", a[i]);
- }
- fprintf(stderr, " ]");
- }
-
- static int test_reduction(const ncnn::Mat& _a, float coeff, int keepdims)
- {
- ncnn::Mat a = _a;
- if (op_type == 9 || op_type == 10)
- {
- // value must be positive for logsum and logsumexp
- Randomize(a, 0.001f, 2.f);
- }
-
- ncnn::ParamDict pd;
- pd.set(0, op_type);
- pd.set(1, 1); // reduce_all
- pd.set(2, coeff);
- pd.set(4, keepdims);
-
- std::vector<ncnn::Mat> weights(0);
-
- int ret = test_layer("Reduction", pd, weights, a);
- if (ret != 0)
- {
- fprintf(stderr, "test_reduction failed a.dims=%d a=(%d %d %d %d) op_type=%d coeff=%f keepdims=%d reduce_all=1\n", a.dims, a.w, a.h, a.d, a.c, op_type, coeff, keepdims);
- }
-
- return ret;
- }
-
- static int test_reduction(const ncnn::Mat& _a, float coeff, int keepdims, const std::vector<int>& axes_array)
- {
- ncnn::Mat a = _a;
- if (op_type == 9 || op_type == 10)
- {
- // value must be positive for logsum and logsumexp
- Randomize(a, 0.001f, 2.f);
- }
-
- ncnn::Mat axes(axes_array.size());
- {
- int* p = axes;
- for (size_t i = 0; i < axes_array.size(); i++)
- {
- p[i] = axes_array[i];
- }
- }
-
- ncnn::ParamDict pd;
- pd.set(0, op_type);
- pd.set(1, 0); // reduce_all
- pd.set(2, coeff);
- pd.set(3, axes);
- pd.set(4, keepdims);
- pd.set(5, 1); // fixbug0
-
- std::vector<ncnn::Mat> weights(0);
-
- int ret = test_layer("Reduction", pd, weights, a);
- if (ret != 0)
- {
- fprintf(stderr, "test_reduction failed a.dims=%d a=(%d %d %d %d) op_type=%d coeff=%f keepdims=%d", a.dims, a.w, a.h, a.d, a.c, op_type, coeff, keepdims);
- fprintf(stderr, " axes=");
- print_int_array(axes_array);
- fprintf(stderr, "\n");
- }
-
- return ret;
- }
-
- static int test_reduction_nd(const ncnn::Mat& a)
- {
- int ret1 = 0
- || test_reduction(a, 1.f, 0)
- || test_reduction(a, 2.f, 0)
- || test_reduction(a, 1.f, 1)
- || test_reduction(a, 2.f, 1)
- || test_reduction(a, 1.f, 0, IntArray(0))
- || test_reduction(a, 1.f, 1, IntArray(0));
-
- if (a.dims == 1 || ret1 != 0)
- return ret1;
-
- int ret2 = 0
- || test_reduction(a, 2.f, 0, IntArray(1))
- || test_reduction(a, 2.f, 1, IntArray(1))
- || test_reduction(a, 1.f, 0, IntArray(0, 1))
- || test_reduction(a, 1.f, 1, IntArray(0, 1));
-
- if (a.dims == 2 || ret2 != 0)
- return ret2;
-
- int ret3 = 0
- || test_reduction(a, 1.f, 0, IntArray(2))
- || test_reduction(a, 1.f, 1, IntArray(2))
- || test_reduction(a, 2.f, 0, IntArray(0, 2))
- || test_reduction(a, 2.f, 0, IntArray(1, 2))
- || test_reduction(a, 2.f, 1, IntArray(0, 2))
- || test_reduction(a, 2.f, 1, IntArray(1, 2))
- || test_reduction(a, 1.f, 0, IntArray(0, 1, 2))
- || test_reduction(a, 1.f, 1, IntArray(0, 1, 2));
-
- if (a.dims == 3 || ret3 != 0)
- return ret3;
-
- int ret4 = 0
- || test_reduction(a, 2.f, 0, IntArray(3))
- || test_reduction(a, 2.f, 1, IntArray(3))
- || test_reduction(a, 1.f, 0, IntArray(0, 3))
- || test_reduction(a, 1.f, 0, IntArray(1, 3))
- || test_reduction(a, 2.f, 0, IntArray(2, 3))
- || test_reduction(a, 1.f, 1, IntArray(0, 3))
- || test_reduction(a, 1.f, 1, IntArray(1, 3))
- || test_reduction(a, 2.f, 1, IntArray(2, 3))
- || test_reduction(a, 2.f, 0, IntArray(0, 1, 3))
- || test_reduction(a, 1.f, 0, IntArray(0, 2, 3))
- || test_reduction(a, 2.f, 0, IntArray(1, 2, 3))
- || test_reduction(a, 2.f, 1, IntArray(0, 1, 3))
- || test_reduction(a, 1.f, 1, IntArray(0, 2, 3))
- || test_reduction(a, 2.f, 1, IntArray(1, 2, 3))
- || test_reduction(a, 1.f, 0, IntArray(0, 1, 2, 3))
- || test_reduction(a, 1.f, 1, IntArray(0, 1, 2, 3));
-
- return ret4;
- }
-
- static int test_reduction_0()
- {
- ncnn::Mat a = RandomMat(5, 6, 7, 24);
- ncnn::Mat b = RandomMat(7, 8, 9, 12);
- ncnn::Mat c = RandomMat(3, 4, 5, 13);
-
- return 0
- || test_reduction_nd(a)
- || test_reduction_nd(b)
- || test_reduction_nd(c);
- }
-
- static int test_reduction_1()
- {
- ncnn::Mat a = RandomMat(5, 7, 24);
- ncnn::Mat b = RandomMat(7, 9, 12);
- ncnn::Mat c = RandomMat(3, 5, 13);
-
- return 0
- || test_reduction_nd(a)
- || test_reduction_nd(b)
- || test_reduction_nd(c);
- }
-
- static int test_reduction_2()
- {
- ncnn::Mat a = RandomMat(15, 24);
- ncnn::Mat b = RandomMat(17, 12);
- ncnn::Mat c = RandomMat(19, 15);
-
- return 0
- || test_reduction_nd(a)
- || test_reduction_nd(b)
- || test_reduction_nd(c);
- }
-
- static int test_reduction_3()
- {
- ncnn::Mat a = RandomMat(128);
- ncnn::Mat b = RandomMat(124);
- ncnn::Mat c = RandomMat(127);
-
- return 0
- || test_reduction_nd(a)
- || test_reduction_nd(b)
- || test_reduction_nd(c);
- }
-
- int main()
- {
- SRAND(7767517);
-
- for (op_type = 0; op_type < OP_TYPE_MAX; op_type++)
- {
- int ret = 0
- || test_reduction_0()
- || test_reduction_1()
- || test_reduction_2()
- || test_reduction_3();
-
- if (ret != 0)
- return ret;
- }
-
- return 0;
- }
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