ncnn / src /layer /vulkan /gemm_vulkan.cpp
camenduru's picture
thanks to ncnn ❤
be903e2
// Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2023 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#include "gemm_vulkan.h"
#include "layer_shader_type.h"
namespace ncnn {
Gemm_vulkan::Gemm_vulkan()
{
support_vulkan = true;
support_image_storage = true;
pipeline_gemm = 0;
}
int Gemm_vulkan::create_pipeline(const Option& opt)
{
// const Mat& shape = top_shapes.empty() ? Mat() : top_shapes[0];
// int elempack = 1;
// if (shape.dims == 2) elempack = opt.use_shader_pack8 && shape.h % 8 == 0 ? 8 : shape.h % 4 == 0 ? 4 : 1;
// size_t elemsize;
// if (opt.use_fp16_storage)
// {
// elemsize = elempack * 2u;
// }
// else if (opt.use_fp16_packed)
// {
// elemsize = elempack == 1 ? 4u : elempack * 2u;
// }
// else
// {
// elemsize = elempack * 4u;
// }
// Mat shape_packed;
// if (shape.dims == 2) shape_packed = Mat(shape.w, shape.h / elempack, (void*)0, elemsize, elempack);
if (constantA)
{
A_data_packed = transA ? A_data.reshape(constantM, constantK) : A_data.reshape(constantK, constantM);
}
if (constantB)
{
B_data_packed = transB ? B_data.reshape(constantK, constantN) : B_data.reshape(constantN, constantK);
}
if (constantC)
{
C_data_packed = C_data;
}
std::vector<vk_specialization_type> specializations(15);
specializations[0].f = alpha;
specializations[1].f = beta;
specializations[2].i = transA;
specializations[3].i = transB;
specializations[4].i = constantA;
specializations[5].i = constantB;
specializations[6].i = constantC;
specializations[7].i = constantM;
specializations[8].i = constantN;
specializations[9].i = constantK;
specializations[10].i = constant_broadcast_type_C;
specializations[11].i = output_N1M;
specializations[12].i = output_elempack;
specializations[13].i = output_elemtype;
specializations[14].i = output_transpose;
Mat local_size_xyz;
// if (shape_packed.dims == 2)
// {
// local_size_xyz.w = std::min(8, shape_packed.w);
// local_size_xyz.h = std::min(8, shape_packed.h);
// local_size_xyz.c = 1;
// }
// pack1
// if (shape.dims == 0 || elempack == 1)
{
pipeline_gemm = new Pipeline(vkdev);
pipeline_gemm->set_optimal_local_size_xyz(local_size_xyz);
if (opt.use_shader_local_memory)
{
pipeline_gemm->set_local_size_xyz(8, 8, 1);
}
pipeline_gemm->create(LayerShaderType::gemm, opt, specializations);
}
return 0;
}
int Gemm_vulkan::destroy_pipeline(const Option& /*opt*/)
{
delete pipeline_gemm;
pipeline_gemm = 0;
return 0;
}
int Gemm_vulkan::upload_model(VkTransfer& cmd, const Option& opt)
{
if (constantA)
{
if (support_image_storage && opt.use_image_storage)
{
cmd.record_upload(A_data_packed, A_data_gpu_image, opt);
}
else
{
cmd.record_upload(A_data_packed, A_data_gpu, opt);
}
A_data_packed.release();
}
if (constantB)
{
if (support_image_storage && opt.use_image_storage)
{
cmd.record_upload(B_data_packed, B_data_gpu_image, opt);
}
else
{
cmd.record_upload(B_data_packed, B_data_gpu, opt);
}
B_data_packed.release();
}
if (constantC)
{
if (support_image_storage && opt.use_image_storage)
{
cmd.record_upload(C_data_packed, C_data_gpu_image, opt);
}
else
{
cmd.record_upload(C_data_packed, C_data_gpu, opt);
}
C_data_packed.release();
}
return 0;
}
int Gemm_vulkan::forward(const std::vector<VkMat>& bottom_blobs, std::vector<VkMat>& top_blobs, VkCompute& cmd, const Option& opt) const
{
const VkMat& A0 = constantA ? A_data_gpu : bottom_blobs[0];
const VkMat& B0 = constantB ? B_data_gpu : constantA ? bottom_blobs[0] : bottom_blobs[1];
const VkMat& C0 = constantC ? C_data_gpu : bottom_blobs[bottom_blobs.size() - 1];
VkMat A;
VkMat B;
VkMat C;
vkdev->convert_packing(A0, A, 1, cmd, opt);
vkdev->convert_packing(B0, B, 1, cmd, opt);
vkdev->convert_packing(C0, C, 1, cmd, opt);
const int M = constantM ? constantM : transA ? A.w : (A.dims == 3 ? A.c : A.h);
const int K = constantK ? constantK : transA ? (A.dims == 3 ? A.c : A.h) : A.w;
const int N = constantN ? constantN : transB ? (B.dims == 3 ? B.c : B.h) : B.w;
int broadcast_type_C;
if (constantC)
{
broadcast_type_C = constant_broadcast_type_C;
}
else
{
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;
}
}
int elempack = A.elempack;
size_t elemsize = A.elemsize;
VkMat& top_blob = top_blobs[0];
if (output_transpose)
{
if (output_N1M)
top_blob.create(M, 1, N, elemsize, opt.blob_vkallocator);
else
top_blob.create(M, N, elemsize, opt.blob_vkallocator);
}
else
{
if (output_N1M)
top_blob.create(N, 1, M, elemsize, opt.blob_vkallocator);
else
top_blob.create(N, M, elemsize, opt.blob_vkallocator);
}
if (top_blob.empty())
return -100;
std::vector<VkMat> bindings(4);
bindings[0] = top_blob;
bindings[1] = A;
bindings[2] = B;
bindings[3] = C;
std::vector<vk_constant_type> constants(10);
constants[0].i = M;
constants[1].i = N;
constants[2].i = K;
constants[3].i = broadcast_type_C;
constants[4].i = A.dims;
constants[5].i = A.dims == 3 ? A.cstep : transA ? M : K;
constants[6].i = B.dims;
constants[7].i = B.dims == 3 ? B.cstep : transB ? K : N;
constants[8].i = top_blob.dims;
constants[9].i = top_blob.dims == 3 ? top_blob.cstep : top_blob.w;
const Pipeline* pipeline = pipeline_gemm;
VkMat dispatcher;
dispatcher.w = (N + 1) / 2;
dispatcher.h = (M + 1) / 2;
dispatcher.c = 1;
cmd.record_pipeline(pipeline, bindings, constants, dispatcher);
int out_elempack = 1;
{
int outh = output_transpose ? N : M;
out_elempack = opt.use_shader_pack8 && outh % 8 == 0 ? 8 : outh % 4 == 0 ? 4 : 1;
}
if (output_elempack)
out_elempack = output_elempack;
if (out_elempack != 1)
{
VkMat top_blob0;
vkdev->convert_packing(top_blob, top_blob0, out_elempack, cmd, opt);
top_blobs[0] = top_blob0;
}
return 0;
}
int Gemm_vulkan::forward(const VkMat& bottom_blob, VkMat& top_blob, VkCompute& cmd, const Option& opt) const
{
std::vector<VkMat> bottom_blobs(1);
std::vector<VkMat> top_blobs(1);
bottom_blobs[0] = bottom_blob;
int ret = forward(bottom_blobs, top_blobs, cmd, opt);
top_blob = top_blobs[0];
return ret;
}
int Gemm_vulkan::forward(const std::vector<VkImageMat>& bottom_blobs, std::vector<VkImageMat>& top_blobs, VkCompute& cmd, const Option& opt) const
{
const VkImageMat& A0 = constantA ? A_data_gpu_image : bottom_blobs[0];
const VkImageMat& B0 = constantB ? B_data_gpu_image : constantA ? bottom_blobs[0] : bottom_blobs[1];
const VkImageMat& C0 = constantC ? C_data_gpu_image : bottom_blobs[bottom_blobs.size() - 1];
VkImageMat A;
VkImageMat B;
VkImageMat C;
vkdev->convert_packing(A0, A, 1, cmd, opt);
vkdev->convert_packing(B0, B, 1, cmd, opt);
vkdev->convert_packing(C0, C, 1, cmd, opt);
const int M = constantM ? constantM : transA ? A.w : (A.dims == 3 ? A.c : A.h);
const int K = constantK ? constantK : transA ? (A.dims == 3 ? A.c : A.h) : A.w;
const int N = constantN ? constantN : transB ? (B.dims == 3 ? B.c : B.h) : B.w;
int broadcast_type_C;
if (constantC)
{
broadcast_type_C = constant_broadcast_type_C;
}
else
{
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;
}
}
int elempack = A.elempack;
size_t elemsize = A.elemsize;
VkImageMat& top_blob = top_blobs[0];
if (output_transpose)
{
if (output_N1M)
top_blob.create(M, 1, N, elemsize, opt.blob_vkallocator);
else
top_blob.create(M, N, elemsize, opt.blob_vkallocator);
}
else
{
if (output_N1M)
top_blob.create(N, 1, M, elemsize, opt.blob_vkallocator);
else
top_blob.create(N, M, elemsize, opt.blob_vkallocator);
}
if (top_blob.empty())
return -100;
std::vector<VkImageMat> bindings(4);
bindings[0] = top_blob;
bindings[1] = A;
bindings[2] = B;
bindings[3] = C;
std::vector<vk_constant_type> constants(10);
constants[0].i = M;
constants[1].i = N;
constants[2].i = K;
constants[3].i = broadcast_type_C;
constants[4].i = A.dims;
constants[5].i = 0; //A.w;
constants[6].i = B.dims;
constants[7].i = 0; //B.w;
constants[8].i = top_blob.dims;
constants[9].i = 0; //top_blob.w;
const Pipeline* pipeline = pipeline_gemm;
VkImageMat dispatcher;
dispatcher.w = (N + 1) / 2;
dispatcher.h = (M + 1) / 2;
dispatcher.c = 1;
cmd.record_pipeline(pipeline, bindings, constants, dispatcher);
int out_elempack = 1;
{
int outh = output_transpose ? N : M;
out_elempack = opt.use_shader_pack8 && outh % 8 == 0 ? 8 : outh % 4 == 0 ? 4 : 1;
}
if (output_elempack)
out_elempack = output_elempack;
if (out_elempack != 1)
{
VkImageMat top_blob0;
vkdev->convert_packing(top_blob, top_blob0, out_elempack, cmd, opt);
top_blobs[0] = top_blob0;
}
return 0;
}
int Gemm_vulkan::forward(const VkImageMat& bottom_blob, VkImageMat& top_blob, VkCompute& cmd, const Option& opt) const
{
std::vector<VkImageMat> bottom_blobs(1);
std::vector<VkImageMat> top_blobs(1);
bottom_blobs[0] = bottom_blob;
int ret = forward(bottom_blobs, top_blobs, cmd, opt);
top_blob = top_blobs[0];
return ret;
}
} // namespace ncnn