mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-22 08:46:02 +08:00
nihui
1c7af00499
* quantize gemm * write gemm quantize scales * update doc * less openmp args * x86 riscv fallback * skip gemm vulkan int8 * fix noint8 test, fix arm bf16 test * enable vfpv4 on neon build only * fix gemm vulkan without C * fp16 pack8 output * enable elempack=8 only for asimdhp+ * tiled gemm int8 test * opt arm64 tiles, fix asimdhp dispatch
308 lines
12 KiB
C++
308 lines
12 KiB
C++
// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
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//
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// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
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// in compliance with the License. You may obtain a copy of the License at
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//
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// https://opensource.org/licenses/BSD-3-Clause
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//
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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#include "testutil.h"
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static int test_gemm(int M, int N, int K, float alpha, int transA, int transB, int output_transpose, int constantA, int constantB, int output_N1M = 0)
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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(11, output_N1M);
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pd.set(14, output_transpose);
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std::vector<ncnn::Mat> weights;
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if (constantA) weights.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)));
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if (constantB) weights.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)));
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std::vector<ncnn::Mat> a;
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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)));
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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)));
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for (size_t i = 0; i < weights.size(); i++)
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{
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Randomize(weights[i]);
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}
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for (size_t i = 0; i < a.size(); i++)
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{
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Randomize(a[i]);
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}
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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 failed M=%d N=%d K=%d alpha=%f transA=%d transB=%d output_transpose=%d constantA=%d constantB=%d output_N1M=%d\n", M, N, K, alpha, transA, transB, output_transpose, constantA, constantB, output_N1M);
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}
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return ret;
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}
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static int test_gemm_bias(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(14, output_transpose);
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std::vector<ncnn::Mat> weights;
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if (constantA) weights.push_back(transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M));
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if (constantB) weights.push_back(transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K));
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if (constantC) weights.push_back(C);
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std::vector<ncnn::Mat> a;
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if (!constantA) a.push_back(transA ? ncnn::Mat(M, K) : ncnn::Mat(K, M));
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if (!constantB) a.push_back(transB ? ncnn::Mat(K, N) : ncnn::Mat(N, K));
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if (!constantC) a.push_back(C);
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for (size_t i = 0; i < weights.size(); i++)
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{
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Randomize(weights[i]);
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}
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for (size_t i = 0; i < a.size(); i++)
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{
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Randomize(a[i]);
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}
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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_bias 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(M, N, K, 2.1f, 0, 0, 0, 0, 0)
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|| test_gemm(M, N, K, 3.1f, 0, 1, 0, 0, 0)
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|| test_gemm(M, N, K, 4.1f, 1, 0, 0, 0, 0)
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|| test_gemm(M, N, K, 5.1f, 1, 1, 0, 0, 0)
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|| test_gemm(M, N, K, 2.1f, 0, 0, 1, 0, 0)
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|| test_gemm(M, N, K, 3.1f, 0, 1, 1, 0, 0)
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|| test_gemm(M, N, K, 4.1f, 1, 0, 1, 0, 0)
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|| test_gemm(M, N, K, 5.1f, 1, 1, 1, 0, 0)
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|| test_gemm(M, N, K, 1.7f, 0, 1, 0, 0, 0, 1)
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|| test_gemm(M, N, K, 1.7f, 1, 1, 0, 1, 0, 1)
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|| test_gemm(M, N, K, 1.9f, 0, 0, 0, 0, 1, 1)
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|| test_gemm(M, N, K, 1.9f, 1, 0, 0, 1, 1, 1)
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|| test_gemm(M, N, K, 1.7f, 0, 1, 1, 1, 0, 1)
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|| test_gemm(M, N, K, 1.7f, 1, 1, 1, 0, 1, 1)
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|| test_gemm(M, N, K, 1.9f, 0, 0, 1, 1, 1, 1)
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|| test_gemm(M, N, K, 1.9f, 1, 0, 1, 0, 0, 1)
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|| test_gemm(M, N, K, 2.1f, 0, 0, 0, 1, 0)
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|| test_gemm(M, N, K, 3.1f, 0, 1, 0, 1, 0)
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|| test_gemm(M, N, K, 4.1f, 1, 0, 0, 1, 0)
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|| test_gemm(M, N, K, 5.1f, 1, 1, 0, 1, 0)
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|| test_gemm(M, N, K, 2.1f, 0, 0, 1, 1, 0)
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|| test_gemm(M, N, K, 3.1f, 0, 1, 1, 1, 0)
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|| test_gemm(M, N, K, 4.1f, 1, 0, 1, 1, 0)
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|| test_gemm(M, N, K, 5.1f, 1, 1, 1, 1, 0)
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|| test_gemm(M, N, K, 2.1f, 0, 0, 0, 0, 1)
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|| test_gemm(M, N, K, 3.1f, 0, 1, 0, 0, 1)
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|| test_gemm(M, N, K, 4.1f, 1, 0, 0, 0, 1)
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|| test_gemm(M, N, K, 5.1f, 1, 1, 0, 0, 1)
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|| test_gemm(M, N, K, 2.1f, 0, 0, 1, 0, 1)
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|| test_gemm(M, N, K, 3.1f, 0, 1, 1, 0, 1)
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|| test_gemm(M, N, K, 4.1f, 1, 0, 1, 0, 1)
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|| test_gemm(M, N, K, 5.1f, 1, 1, 1, 0, 1)
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|| test_gemm(M, N, K, 2.1f, 0, 0, 0, 1, 1)
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|| test_gemm(M, N, K, 3.1f, 0, 1, 0, 1, 1)
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|| test_gemm(M, N, K, 4.1f, 1, 0, 0, 1, 1)
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|| test_gemm(M, N, K, 5.1f, 1, 1, 0, 1, 1)
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|| test_gemm(M, N, K, 2.1f, 0, 0, 1, 1, 1)
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|| test_gemm(M, N, K, 3.1f, 0, 1, 1, 1, 1)
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|| test_gemm(M, N, K, 4.1f, 1, 0, 1, 1, 1)
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|| test_gemm(M, N, K, 5.1f, 1, 1, 1, 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_bias(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0, 0, 0, 0, 0)
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|| test_gemm_bias(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1, 0, 0, 0, 0)
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|| test_gemm_bias(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0, 1, 0, 0, 0)
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|| test_gemm_bias(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 1, 1, 0, 0, 0)
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|| test_gemm_bias(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 0, 0, 0, 0, 0)
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|| test_gemm_bias(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 1, 0, 0, 0, 0)
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|| test_gemm_bias(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0, 0, 1, 0, 0)
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|| test_gemm_bias(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1, 0, 1, 0, 0)
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|| test_gemm_bias(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0, 1, 1, 0, 0)
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|| test_gemm_bias(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 1, 1, 1, 0, 0)
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|| test_gemm_bias(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 0, 0, 1, 0, 0)
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|| test_gemm_bias(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 1, 0, 1, 0, 0)
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|| test_gemm_bias(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0, 0, 0, 1, 0)
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|| test_gemm_bias(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1, 0, 0, 1, 0)
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|| test_gemm_bias(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0, 1, 0, 1, 0)
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|| test_gemm_bias(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 1, 1, 0, 1, 0)
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|| test_gemm_bias(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 0, 0, 0, 1, 0)
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|| test_gemm_bias(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 1, 0, 0, 1, 0)
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|| test_gemm_bias(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0, 0, 1, 1, 0)
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|| test_gemm_bias(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1, 0, 1, 1, 0)
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|| test_gemm_bias(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0, 1, 1, 1, 0)
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|| test_gemm_bias(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 1, 1, 1, 1, 0)
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|| test_gemm_bias(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 0, 0, 1, 1, 0)
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|| test_gemm_bias(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 1, 0, 1, 1, 0)
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|| test_gemm_bias(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0, 0, 0, 0, 1)
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|| test_gemm_bias(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1, 0, 0, 0, 1)
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|| test_gemm_bias(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0, 1, 0, 0, 1)
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|| test_gemm_bias(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 1, 1, 0, 0, 1)
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|| test_gemm_bias(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 0, 0, 0, 0, 1)
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|| test_gemm_bias(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 1, 0, 0, 0, 1)
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|| test_gemm_bias(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0, 0, 1, 0, 1)
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|| test_gemm_bias(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1, 0, 1, 0, 1)
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|| test_gemm_bias(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0, 1, 1, 0, 1)
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|| test_gemm_bias(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 1, 1, 1, 0, 1)
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|| test_gemm_bias(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 0, 0, 1, 0, 1)
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|| test_gemm_bias(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 1, 0, 1, 0, 1)
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|| test_gemm_bias(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0, 0, 0, 1, 1)
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|| test_gemm_bias(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1, 0, 0, 1, 1)
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|| test_gemm_bias(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0, 1, 0, 1, 1)
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|| test_gemm_bias(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 1, 1, 0, 1, 1)
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|| test_gemm_bias(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 0, 0, 0, 1, 1)
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|| test_gemm_bias(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 1, 0, 0, 1, 1)
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|| test_gemm_bias(M, N, K, RandomMat(1), 2.1f, 0.5f, 0, 0, 0, 1, 1, 1)
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|| test_gemm_bias(M, N, K, RandomMat(M), 3.1f, 0.6f, 0, 1, 0, 1, 1, 1)
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|| test_gemm_bias(M, N, K, RandomMat(1, M), 4.1f, 0.7f, 1, 0, 1, 1, 1, 1)
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|| test_gemm_bias(M, N, K, RandomMat(N, M), 5.1f, 0.8f, 1, 1, 1, 1, 1, 1)
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|| test_gemm_bias(M, N, K, RandomMat(N, 1), 2.1f, 0.5f, 0, 0, 0, 1, 1, 1)
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|| test_gemm_bias(M, N, K, RandomMat(N), 3.1f, 0.6f, 0, 1, 0, 1, 1, 1);
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}
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int main()
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{
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SRAND(7767517);
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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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{31, 31, 31},
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{40, 40, 40},
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{1, 1, 23},
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{1, 31, 1},
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{23, 1, 1},
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{12, 12, 23},
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{12, 31, 12},
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{23, 12, 12},
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{1, 1, 47},
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{1, 35, 1},
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{47, 1, 1},
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{24, 24, 47},
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{24, 35, 24},
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{47, 24, 24},
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{1, 35, 47},
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{23, 31, 1},
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{23, 1, 23},
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{23, 31, 23},
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{31, 7, 3},
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{28, 20, 7},
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{32, 32, 9},
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{44, 19, 7},
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{47, 35, 48},
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{47, 48, 47},
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{48, 35, 47}
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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 = 0
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|| test_gemm_0(M, N, K)
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|| 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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return 0;
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}
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