threadwise_direct_convolution.hip.hpp 9.05 KB
Newer Older
Chao Liu's avatar
Chao Liu committed
1
#pragma once
2
#include "ConstantTensorDescriptor.hip.hpp"
Chao Liu's avatar
Chao Liu committed
3

Chao Liu's avatar
Chao Liu committed
4
// optimized for scenario if p_in, p_wei, p_out are in register
5
template <class TInWei, class TOut, class InDesc, class WeiDesc, class OutDesc>
Chao Liu's avatar
Chao Liu committed
6
__device__ void threadwise_direct_convolution_1(InDesc,
7
                                                TInWei* const __restrict__ p_in,
Chao Liu's avatar
Chao Liu committed
8
                                                WeiDesc,
9
                                                TInWei* const __restrict__ p_wei,
Chao Liu's avatar
Chao Liu committed
10
                                                OutDesc,
11
                                                TOut* __restrict__ p_out)
Chao Liu's avatar
Chao Liu committed
12
{
Chao Liu's avatar
Chao Liu committed
13
14
15
16
    constexpr auto I0 = Number<0>{};
    constexpr auto I1 = Number<1>{};
    constexpr auto I2 = Number<2>{};
    constexpr auto I3 = Number<3>{};
Chao Liu's avatar
Chao Liu committed
17
18
19
20
21
22

    constexpr auto in_desc  = InDesc{};
    constexpr auto wei_desc = WeiDesc{};
    constexpr auto out_desc = OutDesc{};

#if 0
Chao Liu's avatar
Chao Liu committed
23
    if(blockIdx.x == 0 && threadIdx.x == 0)
Chao Liu's avatar
Chao Liu committed
24
    {
Chao Liu's avatar
Chao Liu committed
25
26
27
        print_ConstantTensorDescriptor(in_desc, "threadwise_direct_convolution: in_desc: ");
        print_ConstantTensorDescriptor(wei_desc, "threadwise_direct_convolution: wei_desc: ");
        print_ConstantTensorDescriptor(out_desc, "threadwise_direct_convolution: out_desc: ");
Chao Liu's avatar
Chao Liu committed
28
29
30
31
32
33
34
35
36
37
38
39
40
    }
#endif

    for(unsigned n = 0; n < out_desc.GetLength(I0); ++n)
    {
        for(unsigned k = 0; k < out_desc.GetLength(I1); ++k)
        {
            for(unsigned ho = 0; ho < out_desc.GetLength(I2); ++ho)
            {
                for(unsigned wo = 0; wo < out_desc.GetLength(I3); ++wo)
                {
                    for(unsigned c = 0; c < wei_desc.GetLength(I1); ++c)
                    {
Chao Liu's avatar
Chao Liu committed
41
                        for(unsigned y = 0; y < wei_desc.GetLength(I2); ++y)
Chao Liu's avatar
Chao Liu committed
42
                        {
Chao Liu's avatar
Chao Liu committed
43
                            for(unsigned x = 0; x < wei_desc.GetLength(I3); ++x)
Chao Liu's avatar
Chao Liu committed
44
                            {
Chao Liu's avatar
Chao Liu committed
45
46
                                const unsigned hi = ho + y;
                                const unsigned wi = wo + x;
Chao Liu's avatar
Chao Liu committed
47

48
                                const unsigned in_index = in_desc.Get1dIndex(n, c, hi, wi);
Chao Liu's avatar
Chao Liu committed
49

Chao Liu's avatar
Chao Liu committed
50
                                const unsigned wei_index = wei_desc.Get1dIndex(k, c, y, x);
Chao Liu's avatar
Chao Liu committed
51

52
                                const unsigned out_index = out_desc.Get1dIndex(n, k, ho, wo);
Chao Liu's avatar
Chao Liu committed
53

54
55
56
57
                                fused_multiply_add(p_out[out_index],
                                                   p_wei[wei_index],
                                                   p_in[in_index],
                                                   p_out[out_index]);
Chao Liu's avatar
Chao Liu committed
58
59
60
61
62
63
64
65
                            }
                        }
                    }
                }
            }
        }
    }
}
Chao Liu's avatar
Chao Liu committed
66

Chao Liu's avatar
Chao Liu committed
67
68
// Optimized for scenario if p_in and p_wei are in LDS, p_out are in register
// Copy in and wei into register before doing convolution
69
template <class TInWei, class TOut, class InDesc, class WeiDesc, class OutDesc>
Chao Liu's avatar
Chao Liu committed
70
__device__ void threadwise_direct_convolution_2(InDesc,
71
                                                TInWei* const __restrict__ p_in,
Chao Liu's avatar
Chao Liu committed
72
                                                WeiDesc,
73
                                                TInWei* const __restrict__ p_wei,
Chao Liu's avatar
Chao Liu committed
74
                                                OutDesc,
75
                                                TOut* __restrict__ p_out)
Chao Liu's avatar
Chao Liu committed
76
77
78
79
80
81
82
83
84
{
    constexpr auto in_desc  = InDesc{};
    constexpr auto wei_desc = WeiDesc{};
    constexpr auto out_desc = OutDesc{};

    constexpr auto in_reg_desc  = make_ConstantTensorDescriptor(in_desc.GetLengths());
    constexpr auto wei_reg_desc = make_ConstantTensorDescriptor(wei_desc.GetLengths());

    // register
85
86
    TInWei p_in_reg[in_reg_desc.GetElementSpace()];
    TInWei p_wei_reg[wei_reg_desc.GetElementSpace()];
Chao Liu's avatar
Chao Liu committed
87
88

    // copy input tensor into register
Chao Liu's avatar
Chao Liu committed
89
    threadwise_4d_tensor_copy(in_desc, p_in, in_reg_desc, p_in_reg, in_reg_desc.GetLengths());
Chao Liu's avatar
Chao Liu committed
90
91

    // copy input tensor into register
Chao Liu's avatar
Chao Liu committed
92
    threadwise_4d_tensor_copy(wei_desc, p_wei, wei_reg_desc, p_wei_reg, wei_reg_desc.GetLengths());
Chao Liu's avatar
Chao Liu committed
93
94
95
96
97
98

    // do convolution
    threadwise_direct_convolution_1(
        in_reg_desc, p_in_reg, wei_reg_desc, p_wei_reg, out_desc, p_out);
}

Chao Liu's avatar
Chao Liu committed
99
100
101
// optimized for scenario where p_in and p_wei are in LDS, p_out is in register
// break down a non-1x1 convolution into a sequence of 1x1 convolutions,
// load 1x1 weight into register, and do 1x1 convolution in register.
102
template <class Data, class InDesc, class WeiDesc, class OutDesc>
Chao Liu's avatar
Chao Liu committed
103
__device__ void threadwise_direct_convolution_3(InDesc,
104
                                                Data* const __restrict__ p_in,
Chao Liu's avatar
Chao Liu committed
105
                                                WeiDesc,
106
                                                Data* const __restrict__ p_wei,
Chao Liu's avatar
Chao Liu committed
107
                                                OutDesc,
108
                                                Data* __restrict__ p_out)
Chao Liu's avatar
Chao Liu committed
109
110
111
112
113
114
{
    constexpr auto I0 = Number<0>{};
    constexpr auto I1 = Number<1>{};
    constexpr auto I2 = Number<2>{};
    constexpr auto I3 = Number<3>{};

Chao Liu's avatar
Chao Liu committed
115
116
117
    constexpr auto in_desc  = InDesc{};
    constexpr auto wei_desc = WeiDesc{};
    constexpr auto out_desc = OutDesc{};
Chao Liu's avatar
Chao Liu committed
118

Chao Liu's avatar
Chao Liu committed
119
120
121
122
    constexpr auto in_reg_desc = make_ConstantTensorDescriptor(Sequence<in_desc.GetLength(I0),
                                                                        in_desc.GetLength(I1),
                                                                        out_desc.GetLength(I2),
                                                                        out_desc.GetLength(I3)>{});
Chao Liu's avatar
Chao Liu committed
123

Chao Liu's avatar
Chao Liu committed
124
125
    constexpr auto wei_reg_desc = make_ConstantTensorDescriptor(
        Sequence<wei_desc.GetLength(I0), wei_desc.GetLength(I1), 1, 1>{});
Chao Liu's avatar
Chao Liu committed
126

127
128
    Data p_in_reg[in_reg_desc.GetElementSpace()];
    Data p_wei_reg[wei_reg_desc.GetElementSpace()];
Chao Liu's avatar
Chao Liu committed
129
130
131
132

    constexpr unsigned in_w_new_read = 1;

    constexpr auto in_desc_reg_new_read =
Chao Liu's avatar
Chao Liu committed
133
134
135
        make_ConstantTensorDescriptor(Sequence<in_reg_desc.GetLength(I0),
                                               in_reg_desc.GetLength(I1),
                                               in_reg_desc.GetLength(I2),
Chao Liu's avatar
Chao Liu committed
136
137
                                               in_w_new_read>{});

Chao Liu's avatar
Chao Liu committed
138
#if 0
Chao Liu's avatar
Chao Liu committed
139
    // this verison reused old input data in register, and read new data from LDS
Chao Liu's avatar
Chao Liu committed
140
    // loop over vertical direction
Chao Liu's avatar
Chao Liu committed
141
    for(unsigned y = 0; y < wei_desc.GetLength(I2); ++y)
Chao Liu's avatar
Chao Liu committed
142
143
    {
        // read first input
Chao Liu's avatar
Chao Liu committed
144
        threadwise_4d_tensor_copy(in_desc,
Chao Liu's avatar
Chao Liu committed
145
                                  p_in + in_desc.Get1dIndex(0, 0, y, 0),
Chao Liu's avatar
Chao Liu committed
146
                                  in_reg_desc,
Chao Liu's avatar
Chao Liu committed
147
                                  p_in_reg,
Chao Liu's avatar
Chao Liu committed
148
                                  in_reg_desc.GetLengths());
Chao Liu's avatar
Chao Liu committed
149
150

        // read first 1x1 weight
Chao Liu's avatar
Chao Liu committed
151
        threadwise_4d_tensor_copy(wei_desc,
Chao Liu's avatar
Chao Liu committed
152
                                  p_wei + wei_desc.Get1dIndex(0, 0, y, 0),
Chao Liu's avatar
Chao Liu committed
153
                                  wei_reg_desc,
Chao Liu's avatar
Chao Liu committed
154
                                  p_wei_reg,
Chao Liu's avatar
Chao Liu committed
155
                                  wei_reg_desc.GetLengths());
Chao Liu's avatar
Chao Liu committed
156
157
158

        // do first 1x1 conv
        threadwise_direct_convolution_1(
Chao Liu's avatar
Chao Liu committed
159
            in_reg_desc, p_in_reg, wei_reg_desc, p_wei_reg, out_desc, p_out);
Chao Liu's avatar
Chao Liu committed
160
161

        // loop over horizontal direction
Chao Liu's avatar
Chao Liu committed
162
        for(unsigned x = 1; x < wei_desc.GetLength(I3); ++x)
Chao Liu's avatar
Chao Liu committed
163
164
        {
            // read new weight
Chao Liu's avatar
Chao Liu committed
165
            threadwise_4d_tensor_copy(wei_desc,
Chao Liu's avatar
Chao Liu committed
166
                                      p_wei + wei_desc.Get1dIndex(0, 0, y, x),
Chao Liu's avatar
Chao Liu committed
167
                                      wei_reg_desc,
Chao Liu's avatar
Chao Liu committed
168
                                      p_wei_reg,
Chao Liu's avatar
Chao Liu committed
169
                                      wei_reg_desc.GetLengths());
Chao Liu's avatar
Chao Liu committed
170
171

            // shift old input to the left
Chao Liu's avatar
Chao Liu committed
172
            threadwise_4d_tensor_shift_down(in_reg_desc, p_in_reg, I3, Number<in_w_new_read>{});
Chao Liu's avatar
Chao Liu committed
173
174
175

            // read new input
            threadwise_4d_tensor_copy(
Chao Liu's avatar
Chao Liu committed
176
                in_desc,
Chao Liu's avatar
Chao Liu committed
177
                p_in + in_desc.Get1dIndex(0, 0, y, x + in_reg_desc.GetLength(I3) - 1),
Chao Liu's avatar
Chao Liu committed
178
                in_reg_desc,
Chao Liu's avatar
Chao Liu committed
179
                p_in_reg +
Chao Liu's avatar
Chao Liu committed
180
                    in_reg_desc.Get1dIndex(0, 0, 0, in_reg_desc.GetLength(I3) - in_w_new_read),
Chao Liu's avatar
Chao Liu committed
181
                in_desc_reg_new_read.GetLengths());
Chao Liu's avatar
Chao Liu committed
182
183
184

            // do 1x1 conv
            threadwise_direct_convolution_1(
Chao Liu's avatar
Chao Liu committed
185
                in_reg_desc, p_in_reg, wei_reg_desc, p_wei_reg, out_desc, p_out);
Chao Liu's avatar
Chao Liu committed
186
        }
Chao Liu's avatar
Chao Liu committed
187
    }
Chao Liu's avatar
Chao Liu committed
188
#elif 1
Chao Liu's avatar
Chao Liu committed
189
    // this version read all input from LDS when filter moves
Chao Liu's avatar
Chao Liu committed
190
    // loop over vertical direction
Chao Liu's avatar
Chao Liu committed
191
    for(unsigned y = 0; y < wei_desc.GetLength(I2); ++y)
Chao Liu's avatar
Chao Liu committed
192
    {
Chao Liu's avatar
Chao Liu committed
193
        // loop over horizontal direction
Chao Liu's avatar
Chao Liu committed
194
        for(unsigned x = 0; x < wei_desc.GetLength(I3); ++x)
Chao Liu's avatar
Chao Liu committed
195
196
        {
            // read new weight
Chao Liu's avatar
Chao Liu committed
197
            threadwise_4d_tensor_copy(wei_desc,
Chao Liu's avatar
Chao Liu committed
198
                                      p_wei + wei_desc.Get1dIndex(0, 0, y, x),
Chao Liu's avatar
Chao Liu committed
199
                                      wei_reg_desc,
Chao Liu's avatar
Chao Liu committed
200
                                      p_wei_reg,
Chao Liu's avatar
Chao Liu committed
201
                                      wei_reg_desc.GetLengths());
Chao Liu's avatar
Chao Liu committed
202
203

            // read new input
Chao Liu's avatar
Chao Liu committed
204
            threadwise_4d_tensor_copy(in_desc,
Chao Liu's avatar
Chao Liu committed
205
                                      p_in + in_desc.Get1dIndex(0, 0, y, x),
Chao Liu's avatar
Chao Liu committed
206
207
208
                                      in_reg_desc,
                                      p_in_reg,
                                      in_reg_desc.GetLengths());
Chao Liu's avatar
Chao Liu committed
209
210
211

            // do 1x1 conv
            threadwise_direct_convolution_1(
Chao Liu's avatar
Chao Liu committed
212
                in_reg_desc, p_in_reg, wei_reg_desc, p_wei_reg, out_desc, p_out);
Chao Liu's avatar
Chao Liu committed
213
214
        }
    }
Chao Liu's avatar
Chao Liu committed
215
#endif
Chao Liu's avatar
Chao Liu committed
216
}