mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-22 16:55:13 +08:00
307 lines
9.7 KiB
C++
307 lines
9.7 KiB
C++
// Copyright 2024 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(int M, int N, int K, int TILE_M, int TILE_N, int TILE_K, float alpha, int transA, int transB, int output_transpose)
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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(14, output_transpose);
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pd.set(18, 2); // int8_scale_term
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pd.set(20, TILE_M);
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pd.set(21, TILE_N);
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pd.set(22, TILE_K);
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std::vector<ncnn::Mat> weights(0);
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std::vector<ncnn::Mat> a(2);
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a[0] = transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M);
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a[1] = transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K);
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RandomizeA(a[0], transA, 10.f);
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RandomizeB(a[1], 10.f);
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int ret = test_layer("Gemm", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_gemm_int8 failed M=%d N=%d K=%d TILE_M=%d TILE_N=%d TILE_K=%d alpha=%f transA=%d transB=%d output_transpose=%d\n", M, N, K, TILE_M, TILE_N, TILE_K, alpha, transA, transB, output_transpose);
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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, int TILE_M, int TILE_N, int TILE_K)
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{
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return 0
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|| test_gemm_int8(M, N, K, TILE_M, TILE_N, TILE_K, 2.1f, 0, 0, 0)
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|| test_gemm_int8(M, N, K, TILE_M, TILE_N, TILE_K, 3.1f, 0, 1, 0)
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|| test_gemm_int8(M, N, K, TILE_M, TILE_N, TILE_K, 4.1f, 1, 0, 0)
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|| test_gemm_int8(M, N, K, TILE_M, TILE_N, TILE_K, 5.1f, 1, 1, 0)
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|| test_gemm_int8(M, N, K, TILE_M, TILE_N, TILE_K, 2.1f, 0, 0, 1)
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|| test_gemm_int8(M, N, K, TILE_M, TILE_N, TILE_K, 3.1f, 0, 1, 1)
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|| test_gemm_int8(M, N, K, TILE_M, TILE_N, TILE_K, 4.1f, 1, 0, 1)
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|| test_gemm_int8(M, N, K, TILE_M, TILE_N, TILE_K, 5.1f, 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, 1, 1},
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{2, 2, 2},
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{3, 3, 3},
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{4, 4, 4},
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{5, 5, 5},
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{6, 6, 6},
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{7, 7, 7},
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{8, 8, 8},
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{15, 15, 15},
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{16, 16, 16},
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{24, 24, 24},
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{31, 31, 31},
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{31, 32, 31},
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{32, 31, 32},
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{32, 32, 32},
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{20, 32, 20},
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{40, 40, 40},
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{47, 47, 47},
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{48, 48, 48},
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{52, 52, 52},
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{63, 64, 63},
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{64, 63, 64},
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{64, 64, 64}
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};
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int tile_mnk[][3] = {
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{1, 1, 1},
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{2, 2, 2},
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{4, 4, 4},
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{8, 8, 8},
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{12, 12, 12},
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{16, 16, 16},
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{20, 20, 20},
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{24, 24, 24},
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{28, 28, 28}
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};
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int mnk_count = sizeof(mnk) / sizeof(int) / 3;
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int tile_mnk_count = sizeof(tile_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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for (int j = 0; j < tile_mnk_count; j++)
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{
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int TILE_M = tile_mnk[j][0];
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int TILE_N = tile_mnk[j][1];
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int TILE_K = tile_mnk[j][2];
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if (TILE_M >= M && TILE_N >= N && TILE_K >= K)
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continue;
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int ret = test_gemm_0(M, N, K, TILE_M, TILE_N, TILE_K);
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if (ret != 0)
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return ret;
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}
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// test no tiling
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int ret = test_gemm_0(M, N, K, 100, 100, 100);
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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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