device_implicit_gemm_convolution_nchw_srck.cuh 5.39 KB
Newer Older
Chao Liu's avatar
Chao Liu committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
#pragma once
#include "gridwise_implicit_gemm_convolution_nchw_srck.cuh"

template <class T, class InDesc, class WeiDesc, class OutDesc>
void device_implicit_gemm_convolution_nchw_srck(InDesc,
                                                const Tensor<T>& in_nchw,
                                                WeiDesc,
                                                const Tensor<T>& wei_kcsr,
                                                OutDesc,
                                                Tensor<T>& out_nkhw)
{
    constexpr auto I0 = Number<0>{};
    constexpr auto I1 = Number<1>{};
    constexpr auto I2 = Number<2>{};
    constexpr auto I3 = Number<3>{};

    constexpr auto in_nchw_desc  = InDesc{};
    constexpr auto wei_kcsr_desc = WeiDesc{};
    constexpr auto out_nkhw_desc = OutDesc{};

    constexpr unsigned N  = out_nkhw_desc.GetLength(I0);
    constexpr unsigned Ho = out_nkhw_desc.GetLength(I2);
    constexpr unsigned Wo = out_nkhw_desc.GetLength(I3);

    constexpr unsigned K = wei_kcsr_desc.GetLength(I0);
    constexpr unsigned C = wei_kcsr_desc.GetLength(I1);
    constexpr unsigned S = wei_kcsr_desc.GetLength(I2);
    constexpr unsigned R = wei_kcsr_desc.GetLength(I3);

    auto wei_srck_desc = make_ConstantTensorDescriptor(Sequence<S, R, C, K>{});
    ostream_ConstantTensorDescriptor(wei_srck_desc, std::cout << "wei_srck_desc: ");

    Tensor<T> wei_srck(make_TensorDescriptor(wei_srck_desc));

    auto f_reorder_kcsr2srck = [&](auto k, auto c, auto s, auto r) {
        wei_srck(s, r, c, k) = wei_kcsr(k, c, s, r);
    };

    make_ParallelTensorFunctor(f_reorder_kcsr2srck, K, C, S, R)(
        std::thread::hardware_concurrency());

    std::size_t data_sz = sizeof(T);
    DeviceMem in_nchw_device_buf(data_sz * in_nchw.mDesc.GetElementSpace());
    DeviceMem wei_srck_device_buf(data_sz * wei_srck.mDesc.GetElementSpace());
    DeviceMem out_nkhw_device_buf(data_sz * out_nkhw.mDesc.GetElementSpace());

    int num_thread = std::thread::hardware_concurrency();

    in_nchw_device_buf.ToDevice(in_nchw.mData.data());
    wei_srck_device_buf.ToDevice(wei_srck.mData.data());
    out_nkhw_device_buf.ToDevice(out_nkhw.mData.data());

#if 0
    constexpr unsigned NPerBlock  = 1;
    constexpr unsigned KPerBlock  = 1;
    constexpr unsigned CPerBlock  = 1;
    constexpr unsigned HoPerBlock = 2;
    constexpr unsigned WoPerBlock = 32;

    constexpr unsigned KPerThread  = 1;
    constexpr unsigned CPerThread  = 1;
    constexpr unsigned HoPerThread = 2;
    constexpr unsigned WoPerThread = 2;

    constexpr unsigned BlockSize = 16;
#elif 1
    constexpr unsigned NPerBlock  = 2;
    constexpr unsigned KPerBlock  = 32;
    constexpr unsigned CPerBlock  = 4;
    constexpr unsigned HoPerBlock = 2;
    constexpr unsigned WoPerBlock = 32;

    constexpr unsigned KPerThread  = 4;
    constexpr unsigned CPerThread  = 2;
    constexpr unsigned HoPerThread = 2;
    constexpr unsigned WoPerThread = 2;

    constexpr unsigned BlockSize = 128;
#elif 0
    constexpr unsigned NPerBlock  = 2;
    constexpr unsigned KPerBlock  = 64;
    constexpr unsigned CPerBlock  = 4;
    constexpr unsigned HoPerBlock = 2;
    constexpr unsigned WoPerBlock = 32;

    constexpr unsigned KPerThread  = 4;
    constexpr unsigned CPerThread  = 2;
    constexpr unsigned HoPerThread = 2;
    constexpr unsigned WoPerThread = 2;

    constexpr unsigned BlockSize = 256;
#endif

    constexpr unsigned GridSize =
        ((N + NPerBlock - 1) / NPerBlock) * ((K + KPerBlock - 1) / KPerBlock) *
        ((Ho + HoPerBlock - 1) / HoPerBlock) * ((Wo + WoPerBlock - 1) / WoPerBlock);

    dim3 block_dim(BlockSize);
    dim3 grid_dim(GridSize);

    printf("%s: BlockSize %u, GridSize %u \n", __func__, BlockSize, GridSize);

    cudaEvent_t start, stop;
    float elapsedTime;

    cudaEventCreate(&start);
    cudaEventRecord(start, 0);

    gridwise_implicit_gemm_convolution_nchw_srck<GridSize,
                                                 BlockSize,
                                                 T,
                                                 decltype(in_nchw_desc),
                                                 decltype(wei_srck_desc),
                                                 decltype(out_nkhw_desc),
                                                 NPerBlock,
                                                 KPerBlock,
                                                 CPerBlock,
                                                 HoPerBlock,
                                                 WoPerBlock,
                                                 KPerThread,
                                                 CPerThread,
                                                 HoPerThread,
                                                 WoPerThread>
        <<<grid_dim, block_dim>>>(in_nchw_desc,
                                  static_cast<T*>(in_nchw_device_buf.GetDeviceBuffer()),
                                  wei_srck_desc,
                                  static_cast<T*>(wei_srck_device_buf.GetDeviceBuffer()),
                                  out_nkhw_desc,
                                  static_cast<T*>(out_nkhw_device_buf.GetDeviceBuffer()));

    cudaEventCreate(&stop);
    cudaEventRecord(stop, 0);
    cudaEventSynchronize(stop);

    cudaEventElapsedTime(&elapsedTime, start, stop);
    printf("Elapsed time : %f ms\n", elapsedTime);

    checkCudaErrors(cudaGetLastError());
    out_nkhw_device_buf.FromDevice(out_nkhw.mData.data());
}