mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-19 06:21:39 +08:00
nihui
387 lines
13 KiB
C++
387 lines
13 KiB
C++
// Copyright 2026 Tencent
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// SPDX-License-Identifier: BSD-3-Clause
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#include "testutil.h"
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#if NCNN_INT8
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static void RandomizeA(ncnn::Mat& m, int transA, float absmax)
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{
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if (transA == 0)
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{
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const int h = m.dims == 3 ? m.c : m.h;
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for (int i = 0; i < h; i++)
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{
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float* p = m.dims == 3 ? m.channel(i) : m.row(i);
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float randabsmax = RandomFloat(absmax * 0.5f, absmax);
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randabsmax = ncnn::float16_to_float32(ncnn::float32_to_float16(randabsmax));
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randabsmax = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(randabsmax));
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for (int j = 0; j < m.w; j++)
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{
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p[j] = RandomFloat(-randabsmax, randabsmax);
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}
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// set random a and b
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p[RandomInt(0, m.w - 1)] = -randabsmax;
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p[RandomInt(0, m.w - 1)] = randabsmax;
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// drop 0.45 ~ 0.55
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for (int j = 0; j < m.w; j++)
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{
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float v = p[j] * (127.f / randabsmax);
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float vv = fabs(v - (int)v);
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float hp = ncnn::float16_to_float32(ncnn::float32_to_float16(p[j]));
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float hv = hp * (127.f / randabsmax);
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float hvv = fabs(hv - (int)hv);
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float bp = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(p[j]));
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float bv = bp * (127.f / randabsmax);
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float bvv = fabs(bv - (int)bv);
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while ((vv > 0.45f && vv < 0.55f) || (hvv > 0.45f && hvv < 0.55f) || (bvv > 0.45f && bvv < 0.55f))
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{
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p[j] = RandomFloat(-randabsmax, randabsmax);
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v = p[j] * (127.f / randabsmax);
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vv = fabs(v - (int)v);
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hp = ncnn::float16_to_float32(ncnn::float32_to_float16(p[j]));
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hv = hp * (127.f / randabsmax);
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hvv = fabs(hv - (int)hv);
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bp = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(p[j]));
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bv = bp * (127.f / randabsmax);
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bvv = fabs(bv - (int)bv);
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}
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}
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}
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}
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else // if (transA == 1)
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{
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std::vector<float> randabsmaxes(m.w);
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for (int j = 0; j < m.w; j++)
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{
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float randabsmax = RandomFloat(absmax * 0.5f, absmax);
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randabsmax = ncnn::float16_to_float32(ncnn::float32_to_float16(randabsmax));
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randabsmax = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(randabsmax));
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randabsmaxes[j] = randabsmax;
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}
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const int h = m.dims == 3 ? m.c : m.h;
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for (int i = 0; i < h; i++)
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{
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float* p = m.dims == 3 ? m.channel(i) : m.row(i);
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for (int j = 0; j < m.w; j++)
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{
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const float randabsmax = randabsmaxes[j];
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p[j] = RandomFloat(-randabsmax, randabsmax);
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}
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// drop 0.45 ~ 0.55
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for (int j = 0; j < m.w; j++)
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{
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const float randabsmax = randabsmaxes[j];
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float v = p[j] * (127.f / randabsmax);
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float vv = fabs(v - (int)v);
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float hp = ncnn::float16_to_float32(ncnn::float32_to_float16(p[j]));
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float hv = hp * (127.f / randabsmax);
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float hvv = fabs(hv - (int)hv);
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float bp = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(p[j]));
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float bv = bp * (127.f / randabsmax);
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float bvv = fabs(bv - (int)bv);
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while ((vv > 0.45f && vv < 0.55f) || (hvv > 0.45f && hvv < 0.55f) || (bvv > 0.45f && bvv < 0.55f))
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{
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p[j] = RandomFloat(-randabsmax, randabsmax);
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v = p[j] * (127.f / randabsmax);
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vv = fabs(v - (int)v);
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hp = ncnn::float16_to_float32(ncnn::float32_to_float16(p[j]));
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hv = hp * (127.f / randabsmax);
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hvv = fabs(hv - (int)hv);
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bp = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(p[j]));
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bv = bp * (127.f / randabsmax);
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bvv = fabs(bv - (int)bv);
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}
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}
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}
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for (int j = 0; j < m.w; j++)
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{
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const int randi0 = RandomInt(0, h - 1);
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const int randi1 = RandomInt(0, h - 1);
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float* p0 = m.dims == 3 ? m.channel(randi0) : m.row(randi0);
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float* p1 = m.dims == 3 ? m.channel(randi1) : m.row(randi1);
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const float randabsmax = randabsmaxes[j];
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// set random a and b
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p0[j] = -randabsmax;
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p1[j] = randabsmax;
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}
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}
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}
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static void RandomizeB(ncnn::Mat& m, float absmax)
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{
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absmax = ncnn::float16_to_float32(ncnn::float32_to_float16(absmax));
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absmax = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(absmax));
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const int h = m.dims == 3 ? m.c : m.h;
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float* p = m;
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for (int i = 0; i < h; i++)
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{
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float* p = m.dims == 3 ? m.channel(i) : m.row(i);
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for (int j = 0; j < m.w; j++)
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{
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p[j] = RandomFloat(-absmax, absmax);
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// drop 0.45 ~ 0.55
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float v = p[j] * (127.f / absmax);
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float vv = fabs(v - (int)v);
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float hp = ncnn::float16_to_float32(ncnn::float32_to_float16(p[j]));
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float hv = hp * (127.f / absmax);
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float hvv = fabs(hv - (int)hv);
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float bp = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(p[j]));
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float bv = bp * (127.f / absmax);
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float bvv = fabs(bv - (int)bv);
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while ((vv > 0.45f && vv < 0.55f) || (hvv > 0.45f && hvv < 0.55f) || (bvv > 0.45f && bvv < 0.55f))
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{
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p[j] = RandomFloat(-absmax, absmax);
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v = p[j] * (127.f / absmax);
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vv = fabs(v - (int)v);
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hp = ncnn::float16_to_float32(ncnn::float32_to_float16(p[j]));
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hv = hp * (127.f / absmax);
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hvv = fabs(hv - (int)hv);
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bp = ncnn::bfloat16_to_float32(ncnn::float32_to_bfloat16(p[j]));
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bv = bp * (127.f / absmax);
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bvv = fabs(bv - (int)bv);
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}
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}
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}
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// set random a and b
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if (m.dims == 3)
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{
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m.channel(RandomInt(0, h - 1))[RandomInt(0, m.w - 1)] = -absmax;
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m.channel(RandomInt(0, h - 1))[RandomInt(0, m.w - 1)] = absmax;
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}
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else
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{
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m.row(RandomInt(0, h - 1))[RandomInt(0, m.w - 1)] = -absmax;
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m.row(RandomInt(0, h - 1))[RandomInt(0, m.w - 1)] = absmax;
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}
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}
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static int test_gemm_int8_nt(int M, int N, int K, float alpha, int transA, int transB, int output_transpose, int constantA, int constantB)
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{
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ncnn::ParamDict pd;
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pd.set(0, alpha);
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pd.set(1, 1.f); // beta
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pd.set(2, transA);
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pd.set(3, transB);
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pd.set(4, constantA);
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pd.set(5, constantB);
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pd.set(6, 1);
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pd.set(7, M);
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pd.set(8, N);
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pd.set(9, K);
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pd.set(10, -1);
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pd.set(13, 0); // output_elemtype = fp32
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pd.set(14, output_transpose);
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pd.set(18, 2); // int8_scale_term
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std::vector<ncnn::Mat> weights;
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if (constantA) weights.push_back(transA ? RandomS8Mat(M, K) : RandomS8Mat(K, M));
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if (constantB) weights.push_back(transB ? RandomS8Mat(K, N) : RandomS8Mat(N, K));
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if (constantA) weights.push_back(RandomMat(M, 10.f, 20.f));
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if (constantB) weights.push_back(RandomMat(1, 10.f, 20.f));
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std::vector<ncnn::Mat> a;
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if (!constantA)
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{
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a.push_back(transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M));
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RandomizeA(a[a.size() - 1], transA, 10.f);
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}
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if (!constantB)
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{
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a.push_back(transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K));
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RandomizeB(a[a.size() - 1], 10.f);
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}
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float epsilon = 0.001;
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int ret = test_layer("Gemm", pd, weights, a, 1, epsilon, TEST_LAYER_ENABLE_THREADING);
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if (ret != 0)
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{
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fprintf(stderr, "test_gemm_int8_nt failed M=%d N=%d K=%d alpha=%f transA=%d transB=%d output_transpose=%d constantA=%d constantB=%d\n", M, N, K, alpha, transA, transB, output_transpose, constantA, constantB);
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}
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return ret;
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}
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static int test_gemm_int8_bias_nt(int M, int N, int K, const ncnn::Mat& C, float alpha, float beta, int transA, int transB, int output_transpose, int constantA, int constantB, int constantC)
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{
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int broadcast_type_C = 0;
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if (C.dims == 1 && C.w == 1)
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{
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// scalar
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broadcast_type_C = 0;
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}
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if (C.dims == 1 && C.w == M)
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{
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// M
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// auto broadcast from h to w is the ncnn-style convention
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broadcast_type_C = 1;
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}
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if (C.dims == 1 && C.w == N)
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{
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// N
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broadcast_type_C = 4;
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}
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if (C.dims == 2 && C.w == 1 && C.h == M)
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{
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// Mx1
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broadcast_type_C = 2;
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}
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if (C.dims == 2 && C.w == N && C.h == M)
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{
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// MxN
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broadcast_type_C = 3;
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}
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if (C.dims == 2 && C.w == N && C.h == 1)
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{
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// 1xN
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broadcast_type_C = 4;
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}
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ncnn::ParamDict pd;
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pd.set(0, alpha);
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pd.set(1, beta);
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pd.set(2, transA);
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pd.set(3, transB);
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pd.set(4, constantA);
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pd.set(5, constantB);
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pd.set(6, constantC);
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pd.set(7, M);
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pd.set(8, N);
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pd.set(9, K);
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pd.set(10, broadcast_type_C);
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pd.set(13, 0); // output_elemtype = fp32
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pd.set(14, output_transpose);
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pd.set(18, 2); // int8_scale_term
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std::vector<ncnn::Mat> weights;
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if (constantA) weights.push_back(transA ? RandomS8Mat(M, K) : RandomS8Mat(K, M));
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if (constantB) weights.push_back(transB ? RandomS8Mat(K, N) : RandomS8Mat(N, K));
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if (constantC) weights.push_back(C);
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if (constantA) weights.push_back(RandomMat(M, 10.f, 20.f));
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if (constantB) weights.push_back(RandomMat(1, 10.f, 20.f));
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std::vector<ncnn::Mat> a;
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if (!constantA)
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{
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a.push_back(transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M));
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RandomizeA(a[a.size() - 1], transA, 10.f);
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}
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if (!constantB)
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{
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a.push_back(transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K));
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RandomizeB(a[a.size() - 1], 10.f);
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}
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if (!constantC) a.push_back(C);
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float epsilon = 0.001;
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int ret = test_layer("Gemm", pd, weights, a, 1, epsilon, TEST_LAYER_ENABLE_THREADING);
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if (ret != 0)
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{
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fprintf(stderr, "test_gemm_int8_bias_nt failed M=%d N=%d K=%d C.dims=%d C=(%d %d %d) alpha=%f beta=%f transA=%d transB=%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_transpose, constantA, constantB, constantC);
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}
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return ret;
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}
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static int test_gemm_0(int M, int N, int K)
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{
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return 0
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|| test_gemm_int8_nt(M, N, K, 2.1f, 0, 0, 0, 0, 0)
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|| test_gemm_int8_nt(M, N, K, 3.1f, 0, 1, 0, 0, 0)
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|| test_gemm_int8_nt(M, N, K, 4.1f, 1, 0, 1, 0, 0)
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|| test_gemm_int8_nt(M, N, K, 5.1f, 1, 1, 1, 0, 0)
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|| test_gemm_int8_nt(M, N, K, 0.2f, 0, 0, 1, 1, 0)
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|| test_gemm_int8_nt(M, N, K, 0.3f, 0, 1, 1, 1, 0)
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|| test_gemm_int8_nt(M, N, K, 0.4f, 1, 0, 0, 1, 0)
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|| test_gemm_int8_nt(M, N, K, 0.5f, 1, 1, 0, 1, 0)
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|| test_gemm_int8_nt(M, N, K, 1.2f, 0, 0, 0, 0, 1)
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|| test_gemm_int8_nt(M, N, K, 1.3f, 0, 1, 1, 0, 1)
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|| test_gemm_int8_nt(M, N, K, 1.4f, 1, 0, 0, 0, 1)
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|| test_gemm_int8_nt(M, N, K, 1.5f, 1, 1, 1, 0, 1)
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|| test_gemm_int8_nt(M, N, K, -1.2f, 0, 0, 1, 1, 1)
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|| test_gemm_int8_nt(M, N, K, -1.3f, 0, 1, 0, 1, 1)
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|| test_gemm_int8_nt(M, N, K, -1.4f, 1, 0, 1, 1, 1)
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|| test_gemm_int8_nt(M, N, K, -1.5f, 1, 1, 0, 1, 1);
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}
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static int test_gemm_1(int M, int N, int K)
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{
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return 0
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|| test_gemm_int8_bias_nt(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0, 0, 0, 0, 0)
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|| test_gemm_int8_bias_nt(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1, 0, 0, 0, 0)
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|| test_gemm_int8_bias_nt(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0, 1, 0, 0, 0)
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|| test_gemm_int8_bias_nt(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 1, 1, 0, 0, 0)
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|| test_gemm_int8_bias_nt(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 0, 0, 0, 0, 0)
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|| test_gemm_int8_bias_nt(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 1, 0, 0, 0, 0)
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|| test_gemm_int8_bias_nt(M, N, K, RandomMat(1), -2.1f, 0.5f, 1, 1, 0, 1, 1, 1)
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|| test_gemm_int8_bias_nt(M, N, K, RandomMat(M), -3.1f, 0.6f, 0, 0, 0, 1, 1, 1)
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|| test_gemm_int8_bias_nt(M, N, K, RandomMat(1, M), -4.1f, 0.7f, 0, 1, 1, 1, 1, 1)
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|| test_gemm_int8_bias_nt(M, N, K, RandomMat(N, M), -5.1f, 0.8f, 1, 0, 1, 1, 1, 1)
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|| test_gemm_int8_bias_nt(M, N, K, RandomMat(N, 1), -2.1f, 0.5f, 1, 1, 0, 1, 1, 1)
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|| test_gemm_int8_bias_nt(M, N, K, RandomMat(N), -3.1f, 0.6f, 0, 0, 0, 1, 1, 1);
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}
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#endif // NCNN_INT8
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int main()
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{
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SRAND(7767517);
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#if NCNN_INT8
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int mnk[][3] = {
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{1, 20, 40},
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{20, 2, 39},
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{3, 30, 13},
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{33, 1, 19}
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};
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int mnk_count = sizeof(mnk) / sizeof(int) / 3;
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for (int i = 0; i < mnk_count; i++)
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{
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int M = mnk[i][0];
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int N = mnk[i][1];
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int K = mnk[i][2];
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int ret = test_gemm_0(M, N, K) || test_gemm_1(M, N, K);
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if (ret != 0)
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return ret;
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}
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#else
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// test nothing for non-int8 build
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#endif
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return 0;
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}
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