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- // Copyright 2024 Tencent
- // SPDX-License-Identifier: BSD-3-Clause
-
- #include "testutil.h"
-
- #if NCNN_INT8
- static void RandomizeA(ncnn::Mat& m, int transA, float absmax)
- {
- if (transA == 0)
- {
- const int h = m.dims == 3 ? m.c : m.h;
- for (int i = 0; i < h; i++)
- {
- float* p = m.dims == 3 ? m.channel(i) : m.row(i);
- float randabsmax = RandomFloat(absmax * 0.5f, absmax);
- randabsmax = ncnn::float16_to_float32(ncnn::float32_to_float16(randabsmax));
- randabsmax = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(randabsmax));
-
- for (int j = 0; j < m.w; j++)
- {
- p[j] = RandomFloat(-randabsmax, randabsmax);
- }
-
- // set random a and b
- p[RandomInt(0, m.w - 1)] = -randabsmax;
- p[RandomInt(0, m.w - 1)] = randabsmax;
-
- // drop 0.45 ~ 0.55
- for (int j = 0; j < m.w; j++)
- {
- float v = p[j] * (127.f / randabsmax);
- float vv = fabs(v - (int)v);
-
- float hp = ncnn::float16_to_float32(ncnn::float32_to_float16(p[j]));
- float hv = hp * (127.f / randabsmax);
- float hvv = fabs(hv - (int)hv);
-
- float bp = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(p[j]));
- float bv = bp * (127.f / randabsmax);
- float bvv = fabs(bv - (int)bv);
-
- while ((vv > 0.45f && vv < 0.55f) || (hvv > 0.45f && hvv < 0.55f) || (bvv > 0.45f && bvv < 0.55f))
- {
- p[j] = RandomFloat(-randabsmax, randabsmax);
- v = p[j] * (127.f / randabsmax);
- vv = fabs(v - (int)v);
-
- hp = ncnn::float16_to_float32(ncnn::float32_to_float16(p[j]));
- hv = hp * (127.f / randabsmax);
- hvv = fabs(hv - (int)hv);
-
- bp = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(p[j]));
- bv = bp * (127.f / randabsmax);
- bvv = fabs(bv - (int)bv);
- }
- }
- }
- }
- else // if (transA == 1)
- {
- std::vector<float> randabsmaxes(m.w);
- for (int j = 0; j < m.w; j++)
- {
- float randabsmax = RandomFloat(absmax * 0.5f, absmax);
- randabsmax = ncnn::float16_to_float32(ncnn::float32_to_float16(randabsmax));
- randabsmax = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(randabsmax));
- randabsmaxes[j] = randabsmax;
- }
-
- const int h = m.dims == 3 ? m.c : m.h;
- for (int i = 0; i < h; i++)
- {
- float* p = m.dims == 3 ? m.channel(i) : m.row(i);
- for (int j = 0; j < m.w; j++)
- {
- const float randabsmax = randabsmaxes[j];
- p[j] = RandomFloat(-randabsmax, randabsmax);
- }
-
- // drop 0.45 ~ 0.55
- for (int j = 0; j < m.w; j++)
- {
- const float randabsmax = randabsmaxes[j];
- float v = p[j] * (127.f / randabsmax);
- float vv = fabs(v - (int)v);
-
- float hp = ncnn::float16_to_float32(ncnn::float32_to_float16(p[j]));
- float hv = hp * (127.f / randabsmax);
- float hvv = fabs(hv - (int)hv);
-
- float bp = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(p[j]));
- float bv = bp * (127.f / randabsmax);
- float bvv = fabs(bv - (int)bv);
-
- while ((vv > 0.45f && vv < 0.55f) || (hvv > 0.45f && hvv < 0.55f) || (bvv > 0.45f && bvv < 0.55f))
- {
- p[j] = RandomFloat(-randabsmax, randabsmax);
- v = p[j] * (127.f / randabsmax);
- vv = fabs(v - (int)v);
-
- hp = ncnn::float16_to_float32(ncnn::float32_to_float16(p[j]));
- hv = hp * (127.f / randabsmax);
- hvv = fabs(hv - (int)hv);
-
- bp = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(p[j]));
- bv = bp * (127.f / randabsmax);
- bvv = fabs(bv - (int)bv);
- }
- }
- }
-
- for (int j = 0; j < m.w; j++)
- {
- const int randi0 = RandomInt(0, h - 1);
- const int randi1 = RandomInt(0, h - 1);
- float* p0 = m.dims == 3 ? m.channel(randi0) : m.row(randi0);
- float* p1 = m.dims == 3 ? m.channel(randi1) : m.row(randi1);
-
- const float randabsmax = randabsmaxes[j];
-
- // set random a and b
- p0[j] = -randabsmax;
- p1[j] = randabsmax;
- }
- }
- }
-
- static void RandomizeB(ncnn::Mat& m, float absmax)
- {
- absmax = ncnn::float16_to_float32(ncnn::float32_to_float16(absmax));
- absmax = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(absmax));
-
- const int h = m.dims == 3 ? m.c : m.h;
- float* p = m;
- for (int i = 0; i < h; i++)
- {
- float* p = m.dims == 3 ? m.channel(i) : m.row(i);
- for (int j = 0; j < m.w; j++)
- {
- p[j] = RandomFloat(-absmax, absmax);
-
- // drop 0.45 ~ 0.55
- float v = p[j] * (127.f / absmax);
- float vv = fabs(v - (int)v);
-
- float hp = ncnn::float16_to_float32(ncnn::float32_to_float16(p[j]));
- float hv = hp * (127.f / absmax);
- float hvv = fabs(hv - (int)hv);
-
- float bp = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(p[j]));
- float bv = bp * (127.f / absmax);
- float bvv = fabs(bv - (int)bv);
-
- while ((vv > 0.45f && vv < 0.55f) || (hvv > 0.45f && hvv < 0.55f) || (bvv > 0.45f && bvv < 0.55f))
- {
- p[j] = RandomFloat(-absmax, absmax);
- v = p[j] * (127.f / absmax);
- vv = fabs(v - (int)v);
-
- hp = ncnn::float16_to_float32(ncnn::float32_to_float16(p[j]));
- hv = hp * (127.f / absmax);
- hvv = fabs(hv - (int)hv);
-
- bp = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(p[j]));
- bv = bp * (127.f / absmax);
- bvv = fabs(bv - (int)bv);
- }
- }
- }
-
- // set random a and b
- if (m.dims == 3)
- {
- m.channel(RandomInt(0, h - 1))[RandomInt(0, m.w - 1)] = -absmax;
- m.channel(RandomInt(0, h - 1))[RandomInt(0, m.w - 1)] = absmax;
- }
- else
- {
- m.row(RandomInt(0, h - 1))[RandomInt(0, m.w - 1)] = -absmax;
- m.row(RandomInt(0, h - 1))[RandomInt(0, m.w - 1)] = absmax;
- }
- }
-
- static int test_gemm_int8(int M, int N, int K, float alpha, int transA, int transB, int output_elemtype, int output_transpose, int constantA, int constantB, int output_N1M)
- {
- ncnn::ParamDict pd;
- pd.set(0, alpha);
- pd.set(1, 1.f); // beta
- pd.set(2, transA);
- pd.set(3, transB);
- pd.set(4, constantA);
- pd.set(5, constantB);
- pd.set(6, 1);
- pd.set(7, M);
- pd.set(8, N);
- pd.set(9, K);
- pd.set(10, -1);
- pd.set(11, output_N1M);
- pd.set(13, output_elemtype);
- pd.set(14, output_transpose);
- pd.set(18, 2); // int8_scale_term
-
- std::vector<ncnn::Mat> weights;
- if (constantA) weights.push_back(transA ? RandomS8Mat(M, K) : RandomS8Mat(K, M));
- if (constantB) weights.push_back(transB ? RandomS8Mat(K, N) : RandomS8Mat(N, K));
- if (constantA) weights.push_back(RandomMat(M, 10.f, 20.f));
- if (constantB) weights.push_back(RandomMat(1, 10.f, 20.f));
-
- std::vector<ncnn::Mat> a;
- if (!constantA)
- {
- a.push_back(transA ? (output_N1M ? ncnn::Mat(M, 1, K) : ncnn::Mat(M, K)) : (output_N1M ? ncnn::Mat(K, 1, M) : ncnn::Mat(K, M)));
- RandomizeA(a[a.size() - 1], transA, 10.f);
- }
- if (!constantB)
- {
- a.push_back(transB ? (output_N1M ? ncnn::Mat(K, 1, N) : ncnn::Mat(K, N)) : (output_N1M ? ncnn::Mat(N, 1, K) : ncnn::Mat(N, K)));
- RandomizeB(a[a.size() - 1], 10.f);
- }
-
- int ret = test_layer("Gemm", pd, weights, a);
- if (ret != 0)
- {
- fprintf(stderr, "test_gemm_int8 failed M=%d N=%d K=%d alpha=%f transA=%d transB=%d output_elemtype=%d output_transpose=%d constantA=%d constantB=%d output_N1M=%d\n", M, N, K, alpha, transA, transB, output_elemtype, output_transpose, constantA, constantB, output_N1M);
- }
-
- return ret;
- }
-
- static int test_gemm_int8_bias(int M, int N, int K, const ncnn::Mat& C, float alpha, float beta, int transA, int transB, int output_elemtype, int output_transpose, int constantA, int constantB, int constantC)
- {
- int broadcast_type_C = 0;
- if (C.dims == 1 && C.w == 1)
- {
- // scalar
- broadcast_type_C = 0;
- }
- if (C.dims == 1 && C.w == M)
- {
- // M
- // auto broadcast from h to w is the ncnn-style convention
- broadcast_type_C = 1;
- }
- if (C.dims == 1 && C.w == N)
- {
- // N
- broadcast_type_C = 4;
- }
- if (C.dims == 2 && C.w == 1 && C.h == M)
- {
- // Mx1
- broadcast_type_C = 2;
- }
- if (C.dims == 2 && C.w == N && C.h == M)
- {
- // MxN
- broadcast_type_C = 3;
- }
- if (C.dims == 2 && C.w == N && C.h == 1)
- {
- // 1xN
- broadcast_type_C = 4;
- }
-
- ncnn::ParamDict pd;
- pd.set(0, alpha);
- pd.set(1, beta);
- pd.set(2, transA);
- pd.set(3, transB);
- pd.set(4, constantA);
- pd.set(5, constantB);
- pd.set(6, constantC);
- pd.set(7, M);
- pd.set(8, N);
- pd.set(9, K);
- pd.set(10, broadcast_type_C);
- // pd.set(12, 1); // output_elempack
- pd.set(13, output_elemtype);
- pd.set(14, output_transpose);
- pd.set(18, 2); // int8_scale_term
-
- std::vector<ncnn::Mat> weights;
- if (constantA) weights.push_back(transA ? RandomS8Mat(M, K) : RandomS8Mat(K, M));
- if (constantB) weights.push_back(transB ? RandomS8Mat(K, N) : RandomS8Mat(N, K));
- if (constantC) weights.push_back(C);
- if (constantA) weights.push_back(RandomMat(M, 10.f, 20.f));
- if (constantB) weights.push_back(RandomMat(1, 10.f, 20.f));
-
- std::vector<ncnn::Mat> a;
- if (!constantA)
- {
- a.push_back(transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M));
- RandomizeA(a[a.size() - 1], transA, 10.f);
- }
- if (!constantB)
- {
- a.push_back(transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K));
- RandomizeB(a[a.size() - 1], 10.f);
- }
- if (!constantC) a.push_back(C);
-
- int ret = test_layer("Gemm", pd, weights, a);
- if (ret != 0)
- {
- fprintf(stderr, "test_gemm_int8_bias failed M=%d N=%d K=%d C.dims=%d C=(%d %d %d) alpha=%f beta=%f transA=%d transB=%d output_elemtype=%d output_transpose=%d constantA=%d constantB=%d constantC=%d\n", M, N, K, C.dims, C.w, C.h, C.c, alpha, beta, transA, transB, output_elemtype, output_transpose, constantA, constantB, constantC);
- }
-
- return ret;
- }
-
- static int test_gemm_int8_fp16s(int M, int N, int K, float alpha, int transA, int transB, int output_elemtype, int output_transpose, int constantA, int constantB, int output_N1M)
- {
- ncnn::ParamDict pd;
- pd.set(0, alpha);
- pd.set(1, 1.f); // beta
- pd.set(2, transA);
- pd.set(3, transB);
- pd.set(4, constantA);
- pd.set(5, constantB);
- pd.set(6, 1);
- pd.set(7, M);
- pd.set(8, N);
- pd.set(9, K);
- pd.set(10, -1);
- pd.set(11, output_N1M);
- pd.set(13, output_elemtype);
- pd.set(14, output_transpose);
- pd.set(18, 2); // int8_scale_term
-
- std::vector<ncnn::Mat> weights;
- if (constantA) weights.push_back(transA ? RandomS8Mat(M, K) : RandomS8Mat(K, M));
- if (constantB) weights.push_back(transB ? RandomS8Mat(K, N) : RandomS8Mat(N, K));
- if (constantA) weights.push_back(RandomMat(M, 10.f, 20.f));
- if (constantB) weights.push_back(RandomMat(1, 10.f, 20.f));
-
- std::vector<ncnn::Mat> a;
- if (!constantA)
- {
- a.push_back(transA ? (output_N1M ? ncnn::Mat(M, 1, K) : ncnn::Mat(M, K)) : (output_N1M ? ncnn::Mat(K, 1, M) : ncnn::Mat(K, M)));
- RandomizeA(a[a.size() - 1], transA, 10.f);
- }
- if (!constantB)
- {
- a.push_back(transB ? (output_N1M ? ncnn::Mat(K, 1, N) : ncnn::Mat(K, N)) : (output_N1M ? ncnn::Mat(N, 1, K) : ncnn::Mat(N, K)));
- RandomizeB(a[a.size() - 1], 10.f);
- }
-
- ncnn::Option opt;
- opt.num_threads = 1;
- opt.use_packing_layout = true;
- opt.use_fp16_packed = false;
- opt.use_fp16_storage = true;
- opt.use_fp16_arithmetic = false;
- opt.use_bf16_storage = false;
-
- float epsilon = 0.001;
-
- int ret = test_layer_opt("Gemm", pd, weights, opt, a, 1, epsilon);
- if (ret != 0)
- {
- fprintf(stderr, "test_gemm_int8_fp16s failed M=%d N=%d K=%d alpha=%f transA=%d transB=%d output_elemtype=%d output_transpose=%d constantA=%d constantB=%d output_N1M=%d\n", M, N, K, alpha, transA, transB, output_elemtype, output_transpose, constantA, constantB, output_N1M);
- return ret;
- }
-
- return 0;
- }
-
- static int test_gemm_0(int M, int N, int K)
- {
- return 0
- || test_gemm_int8(M, N, K, 2.1f, 0, 1, 0, 0, 0, 0, 0)
- || test_gemm_int8(M, N, K, 3.1f, 1, 1, 0, 0, 0, 0, 0)
- || test_gemm_int8(M, N, K, 4.1f, 0, 0, 0, 0, 0, 0, 1)
- || test_gemm_int8(M, N, K, 5.1f, 1, 0, 0, 0, 0, 0, 1)
-
- || test_gemm_int8(M, N, K, 0.2f, 0, 1, 0, 0, 1, 0, 1)
- || test_gemm_int8(M, N, K, 0.3f, 1, 1, 0, 0, 1, 0, 1)
- || test_gemm_int8(M, N, K, 0.4f, 0, 0, 0, 0, 0, 1, 0)
- || test_gemm_int8(M, N, K, 0.5f, 0, 1, 0, 0, 0, 1, 0)
-
- || test_gemm_int8(M, N, K, 1.2f, 0, 1, 0, 0, 1, 1, 0)
- || test_gemm_int8(M, N, K, 1.3f, 1, 1, 0, 0, 1, 1, 1)
- || test_gemm_int8(M, N, K, 1.4f, 0, 0, 0, 0, 1, 1, 0)
- || test_gemm_int8(M, N, K, 1.5f, 1, 0, 0, 0, 1, 1, 1)
-
- || test_gemm_int8(M, N, K, -1.2f, 0, 1, 0, 1, 0, 0, 0)
- || test_gemm_int8(M, N, K, -1.3f, 1, 1, 0, 1, 0, 0, 0)
- || test_gemm_int8(M, N, K, -1.4f, 0, 0, 0, 1, 0, 0, 1)
- || test_gemm_int8(M, N, K, -1.5f, 1, 0, 0, 1, 0, 0, 1)
-
- || test_gemm_int8(M, N, K, -2.0f, 0, 1, 0, 1, 1, 0, 1)
- || test_gemm_int8(M, N, K, -3.0f, 1, 1, 0, 1, 1, 0, 1)
- || test_gemm_int8(M, N, K, -4.0f, 0, 0, 0, 1, 0, 1, 0)
- || test_gemm_int8(M, N, K, -5.0f, 0, 1, 0, 1, 0, 1, 0)
-
- || test_gemm_int8(M, N, K, -2.1f, 0, 1, 0, 1, 1, 1, 0)
- || test_gemm_int8(M, N, K, -3.1f, 1, 1, 0, 1, 1, 1, 1)
- || test_gemm_int8(M, N, K, -4.1f, 0, 0, 0, 1, 1, 1, 0)
- || test_gemm_int8(M, N, K, -5.1f, 1, 0, 0, 1, 1, 1, 1)
-
- || test_gemm_int8_fp16s(M, N, K, 1.f, 0, 1, 0, 0, 0, 0, 0)
- || test_gemm_int8_fp16s(M, N, K, 1.f, 1, 0, 0, 1, 0, 0, 0);
- }
-
- static int test_gemm_1(int M, int N, int K)
- {
- return 0
- || test_gemm_int8_bias(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0, 0, 0, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0, 1, 1, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1, 2, 0, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1, 3, 1, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0, 0, 0, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0, 1, 1, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, M), 5.1f, -0.8f, 1, 1, 2, 0, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, M), 5.1f, -0.8f, 1, 1, 3, 1, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, M), 1.f, 1.f, 1, 1, 0, 0, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, M), 1.f, 1.f, 1, 1, 1, 1, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, 1), 2.1f, -0.5f, 0, 0, 2, 0, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, 1), 2.1f, -0.5f, 0, 0, 3, 1, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, 1), 0.8f, 1.f, 0, 0, 0, 0, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(N), 0.8f, 1.f, 0, 0, 1, 1, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(N), 3.1f, -0.6f, 0, 1, 2, 0, 0, 0, 0)
- || test_gemm_int8_bias(M, N, K, RandomMat(N), 3.1f, -0.6f, 0, 1, 3, 1, 0, 0, 0)
-
- || test_gemm_int8_bias(M, N, K, RandomMat(1), -2.1f, 0.5f, 0, 0, 0, 0, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(1), -2.1f, 0.5f, 0, 0, 1, 1, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(M), -3.1f, 0.6f, 0, 1, 2, 0, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(M), -3.1f, 0.6f, 0, 1, 3, 1, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(1, M), -4.1f, 0.7f, 1, 0, 0, 0, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(1, M), -4.1f, 0.7f, 1, 0, 1, 1, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, M), -5.1f, -0.8f, 1, 1, 2, 0, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, M), -5.1f, -0.8f, 1, 1, 3, 1, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, M), 1.f, 1.f, 1, 1, 0, 0, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, M), 1.f, 1.f, 1, 1, 1, 1, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, 1), -2.1f, -0.5f, 0, 0, 2, 0, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, 1), -2.1f, -0.5f, 0, 0, 3, 1, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(N, 1), 0.8f, 1.f, 0, 0, 0, 0, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(N), 0.8f, 1.f, 0, 0, 1, 1, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(N), -3.1f, -0.6f, 0, 1, 2, 0, 1, 1, 1)
- || test_gemm_int8_bias(M, N, K, RandomMat(N), -3.1f, -0.6f, 0, 1, 3, 1, 1, 1, 1);
- }
- #endif // NCNN_INT8
-
- int main()
- {
- SRAND(7767517);
-
- #if NCNN_INT8
- int mnk[][3] = {
- {1, 1, 1},
- {1, 1, 23},
- {1, 1, 47},
- {1, 23, 1},
- {1, 23, 23},
- {1, 31, 1},
- {1, 35, 1},
- {1, 35, 47},
- {1, 47, 1},
- {2, 2, 2},
- {3, 3, 3},
- {4, 4, 4},
- {5, 5, 5},
- {6, 6, 6},
- {7, 7, 7},
- {7, 31, 3},
- {8, 8, 8},
- {12, 12, 23},
- {12, 23, 12},
- {12, 31, 12},
- {15, 15, 15},
- {16, 16, 16},
- {19, 44, 7},
- {20, 28, 7},
- {23, 31, 1},
- {23, 31, 23},
- {24, 24, 47},
- {24, 35, 24},
- {24, 47, 24},
- {31, 31, 31},
- {32, 32, 9},
- {35, 47, 48},
- {35, 48, 47},
- {40, 40, 40},
- {47, 48, 47}
- };
-
- int mnk_count = sizeof(mnk) / sizeof(int) / 3;
-
- for (int i = 0; i < mnk_count; i++)
- {
- int M = mnk[i][0];
- int N = mnk[i][1];
- int K = mnk[i][2];
-
- int ret = test_gemm_0(M, N, K) || test_gemm_1(M, N, K);
- if (ret != 0)
- return ret;
-
- if (M != N)
- {
- int ret = test_gemm_0(N, M, K) || test_gemm_1(N, M, K);
- if (ret != 0)
- return ret;
- }
- }
- #else
- // test nothing for non-int8 build
- #endif
-
- return 0;
- }
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