// Copyright 2024 Tencent // SPDX-License-Identifier: BSD-3-Clause #include "testutil.h" static int test_rmsnorm(const ncnn::Mat& a, int affine_size, float eps, int affine, int flag = 0) { ncnn::ParamDict pd; pd.set(0, affine_size); pd.set(1, eps); pd.set(2, affine); std::vector weights(1); weights[0] = RandomMat(affine_size); int ret = test_layer("RMSNorm", pd, weights, a, 1e-4f, flag); if (ret != 0) { fprintf(stderr, "test_rmsnorm failed a.dims=%d a=(%d %d %d %d) affine_size=%d eps=%f affine=%d\n", a.dims, a.w, a.h, a.d, a.c, affine_size, eps, affine); } return ret; } static int test_rmsnorm_0() { return 0 || test_rmsnorm(RandomMat(6, 4, 2), 6, 0.01f, 0) || test_rmsnorm(RandomMat(4, 5, 6), 4, 0.01f, 0) || test_rmsnorm(RandomMat(3, 3, 8), 3, 0.002f, 0) || test_rmsnorm(RandomMat(5, 6, 12), 5, 0.02f, 0) || test_rmsnorm(RandomMat(4, 7, 16), 4, 0.02f, 0) || test_rmsnorm(RandomMat(6, 7, 24), 6, 0.001f, 0) || test_rmsnorm(RandomMat(5, 8, 32), 5, 0.001f, 0, TEST_LAYER_DISABLE_GPU_TESTING) || test_rmsnorm(RandomMat(6, 4, 2), 6, 0.01f, 1) || test_rmsnorm(RandomMat(4, 5, 6), 4, 0.01f, 1) || test_rmsnorm(RandomMat(3, 3, 8), 3, 0.002f, 1) || test_rmsnorm(RandomMat(5, 6, 12), 5, 0.02f, 1) || test_rmsnorm(RandomMat(4, 7, 16), 4, 0.02f, 1) || test_rmsnorm(RandomMat(6, 7, 24), 6, 0.001f, 1) || test_rmsnorm(RandomMat(5, 8, 32), 5, 0.001f, 1); } static int test_rmsnorm_1() { return 0 || test_rmsnorm(RandomMat(6, 4, 2), 24, 0.01f, 0) || test_rmsnorm(RandomMat(4, 5, 6), 20, 0.01f, 0) || test_rmsnorm(RandomMat(3, 3, 8), 9, 0.002f, 0) || test_rmsnorm(RandomMat(5, 6, 12), 30, 0.02f, 0) || test_rmsnorm(RandomMat(4, 7, 16), 28, 0.02f, 0) || test_rmsnorm(RandomMat(6, 7, 24), 42, 0.001f, 0) || test_rmsnorm(RandomMat(5, 8, 32), 40, 0.001f, 0) || test_rmsnorm(RandomMat(6, 4, 2), 24, 0.01f, 1) || test_rmsnorm(RandomMat(4, 5, 6), 20, 0.01f, 1) || test_rmsnorm(RandomMat(3, 3, 8), 9, 0.002f, 1) || test_rmsnorm(RandomMat(5, 6, 12), 30, 0.02f, 1) || test_rmsnorm(RandomMat(4, 7, 16), 28, 0.02f, 1) || test_rmsnorm(RandomMat(6, 7, 24), 42, 0.001f, 1) || test_rmsnorm(RandomMat(5, 8, 32), 40, 0.001f, 1); } static int test_rmsnorm_2() { return 0 || test_rmsnorm(RandomMat(4, 2), 4, 0.01f, 0) || test_rmsnorm(RandomMat(5, 6), 5, 0.01f, 0) || test_rmsnorm(RandomMat(3, 8), 3, 0.002f, 0) || test_rmsnorm(RandomMat(6, 12), 6, 0.02f, 0) || test_rmsnorm(RandomMat(4, 16), 4, 0.02f, 0) || test_rmsnorm(RandomMat(7, 24), 7, 0.001f, 0) || test_rmsnorm(RandomMat(8, 32), 8, 0.001f, 0) || test_rmsnorm(RandomMat(4, 2), 4, 0.01f, 1) || test_rmsnorm(RandomMat(5, 6), 5, 0.01f, 1) || test_rmsnorm(RandomMat(3, 8), 3, 0.002f, 1) || test_rmsnorm(RandomMat(6, 12), 6, 0.02f, 1) || test_rmsnorm(RandomMat(4, 16), 4, 0.02f, 1) || test_rmsnorm(RandomMat(7, 24), 7, 0.001f, 1) || test_rmsnorm(RandomMat(8, 32), 8, 0.001f, 1); } static int test_rmsnorm_3() { return 0 || test_rmsnorm(RandomMat(2), 2, 0.01f, 0) || test_rmsnorm(RandomMat(6), 6, 0.01f, 0) || test_rmsnorm(RandomMat(8), 8, 0.002f, 0) || test_rmsnorm(RandomMat(12), 12, 0.02f, 0) || test_rmsnorm(RandomMat(16), 16, 0.02f, 0) || test_rmsnorm(RandomMat(24), 24, 0.001f, 0) || test_rmsnorm(RandomMat(32), 32, 0.001f, 0) || test_rmsnorm(RandomMat(2), 2, 0.01f, 1) || test_rmsnorm(RandomMat(6), 6, 0.01f, 1) || test_rmsnorm(RandomMat(8), 8, 0.002f, 1) || test_rmsnorm(RandomMat(12), 12, 0.02f, 1) || test_rmsnorm(RandomMat(16), 16, 0.02f, 1) || test_rmsnorm(RandomMat(24), 24, 0.001f, 1) || test_rmsnorm(RandomMat(32), 32, 0.001f, 1); } static int test_rmsnorm_4() { return 0 || test_rmsnorm(RandomMat(5, 3, 2, 8), 5, 0.01f, 0) || test_rmsnorm(RandomMat(4, 3, 2, 5), 4, 0.01f, 1) || test_rmsnorm(RandomMat(5, 3, 2, 8), 15, 0.002f, 0) || test_rmsnorm(RandomMat(4, 3, 2, 5), 12, 0.002f, 1) || test_rmsnorm(RandomMat(5, 3, 2, 8), 30, 0.001f, 0) || test_rmsnorm(RandomMat(4, 3, 2, 5), 24, 0.001f, 1); } static int test_rmsnorm_5() { return 0 || test_rmsnorm(RandomMat(4095), 4095, 0.001f, 0) || test_rmsnorm(RandomMat(4096), 4096, 0.001f, 0) || test_rmsnorm(RandomMat(4097), 4097, 0.001f, 1) || test_rmsnorm(RandomMat(16384), 16384, 0.001f, 1) || test_rmsnorm(RandomMat(4095, 3), 4095, 0.001f, 1) || test_rmsnorm(RandomMat(4096, 4), 4096, 0.001f, 0) || test_rmsnorm(RandomMat(4097, 4), 4097, 0.001f, 1) || test_rmsnorm(RandomMat(4096, 2, 1), 4096, 0.001f, 0) || test_rmsnorm(RandomMat(4097, 2, 4), 4097, 0.001f, 1) || test_rmsnorm(RandomMat(513, 3, 2, 4), 1539, 0.001f, 1) || test_rmsnorm(RandomMat(64, 65536, 1), 64, 0.001f, 1) || test_rmsnorm(RandomMat(64, 65537, 1), 64, 0.001f, 1) || test_rmsnorm(RandomMat(16, 65537, 4), 16, 0.001f, 1); } #if NCNN_VULKAN static int test_rmsnorm_gpu_fp16a(const ncnn::Mat& a, bool use_subgroup_ops) { ncnn::ParamDict pd; pd.set(0, a.w); pd.set(1, 0.001f); pd.set(2, 0); std::vector weights(0); ncnn::Option opt; opt.num_threads = 1; opt.use_vulkan_compute = true; opt.use_subgroup_ops = use_subgroup_ops; opt.use_fp16_packed = true; opt.use_fp16_storage = true; opt.use_fp16_arithmetic = true; opt.use_int8_storage = false; opt.use_int8_arithmetic = false; ncnn::VulkanDevice* vkdev = ncnn::get_gpu_device(); if (!vkdev->info.support_subgroup_ops()) opt.use_subgroup_ops = false; ncnn::VkAllocator* blob_vkallocator = vkdev->acquire_blob_allocator(); ncnn::VkAllocator* staging_vkallocator = vkdev->acquire_staging_allocator(); opt.blob_vkallocator = blob_vkallocator; opt.workspace_vkallocator = blob_vkallocator; opt.staging_vkallocator = staging_vkallocator; ncnn::Layer* op = ncnn::create_layer_vulkan("RMSNorm"); op->vkdev = vkdev; op->load_param(pd); ncnn::ModelBinFromMatArray mb(weights.data()); op->load_model(mb); op->create_pipeline(opt); ncnn::Mat expected; test_layer_naive(ncnn::layer_to_index("RMSNorm"), pd, weights, a, expected, 0); ncnn::Mat out; int ret; { ncnn::VkCompute cmd(vkdev); ncnn::VkMat a_gpu; cmd.record_upload(a, a_gpu, opt); ret = op->forward_inplace(a_gpu, cmd, opt); if (ret == 0) { cmd.record_download(a_gpu, out, opt); ret = cmd.submit_and_wait(); } } op->destroy_pipeline(opt); delete op; vkdev->reclaim_blob_allocator(blob_vkallocator); vkdev->reclaim_staging_allocator(staging_vkallocator); if (ret != 0 || CompareMat(expected, out, 0.001f) != 0) { fprintf(stderr, "test_rmsnorm_gpu_fp16a failed a.dims=%d a=(%d %d %d %d) subgroup=%d ret=%d\n", a.dims, a.w, a.h, a.d, a.c, use_subgroup_ops, ret); return -1; } return 0; } static int test_rmsnorm_gpu_fp16a() { if (ncnn::get_gpu_count() == 0) return 0; const ncnn::GpuInfo& info = ncnn::get_gpu_info(); if (!info.support_fp16_storage() || !info.support_fp16_arithmetic()) return 0; ncnn::Mat a(4096); a.fill(8.f); ncnn::Mat b(4096, 1, 4); b.fill(8.f); return test_rmsnorm_gpu_fp16a(a, false) || test_rmsnorm_gpu_fp16a(a, true) || test_rmsnorm_gpu_fp16a(b, false) || test_rmsnorm_gpu_fp16a(b, true); } #endif // NCNN_VULKAN int main() { SRAND(7767517); return 0 || test_rmsnorm_0() || test_rmsnorm_1() || test_rmsnorm_2() || test_rmsnorm_3() || test_rmsnorm_4() || test_rmsnorm_5() #if NCNN_VULKAN || test_rmsnorm_gpu_fp16a() #endif // NCNN_VULKAN ; }