gridwise_direct_convolution_2.cuh 11 KB
Newer Older
Chao Liu's avatar
Chao Liu committed
1
2
3
#pragma once
#include "constant_tensor_descriptor.cuh"
#include "blockwise_tensor_op.cuh"
Chao Liu's avatar
rename  
Chao Liu committed
4
#include "blockwise_direct_convolution.cuh"
Chao Liu's avatar
Chao Liu committed
5
#include "threadwise_tensor_op.cuh"
Chao Liu's avatar
rename  
Chao Liu committed
6
#include "threadwise_direct_convolution.cuh"
Chao Liu's avatar
Chao Liu committed
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23

template <class TFloat,
          class InGlobalDesc,
          class WeiGlobalDesc,
          class OutGlobalDesc,
          unsigned OutTileSizeH,
          unsigned OutTileSizeW,
          unsigned NPerBlock,
          unsigned KPerBlock,
          unsigned CPerBlock,
          unsigned YPerBlock,
          unsigned XPerBlock,
          unsigned NPerThread,
          unsigned KPerThread,
          unsigned CPerThread,
          unsigned BlockSize,
          unsigned GridSize>
Chao Liu's avatar
Chao Liu committed
24
25
26
27
28
29
__global__ void gridwise_direct_convolution_2(InGlobalDesc,
                                              TFloat* const __restrict__ p_in_global,
                                              WeiGlobalDesc,
                                              TFloat* const __restrict__ p_wei_global,
                                              OutGlobalDesc,
                                              TFloat* __restrict__ p_out_global)
Chao Liu's avatar
Chao Liu committed
30
{
Chao Liu's avatar
Chao Liu committed
31
32
33
34
    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
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
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164

    constexpr auto in_global_desc  = InGlobalDesc{};
    constexpr auto wei_global_desc = WeiGlobalDesc{};
    constexpr auto out_global_desc = OutGlobalDesc{};

    constexpr unsigned S = wei_global_desc.GetLength(I2);
    constexpr unsigned R = wei_global_desc.GetLength(I3);

    constexpr unsigned HoPerBlock = OutTileSizeH * YPerBlock;
    constexpr unsigned WoPerBlock = OutTileSizeW * XPerBlock;

    constexpr unsigned HiPerBlock = YPerBlock * OutTileSizeH + S - 1;
    constexpr unsigned WiPerBlock = XPerBlock * OutTileSizeW + R - 1;

    constexpr auto in_block_global_desc = make_ConstantTensorDescriptor(
        Sequence<NPerBlock, CPerBlock, HiPerBlock, WiPerBlock>{}, in_global_desc.GetStrides());

    constexpr auto wei_block_global_desc = make_ConstantTensorDescriptor(
        Sequence<KPerBlock, CPerBlock, S, R>{}, wei_global_desc.GetStrides());

    constexpr auto in_block_desc = make_ConstantTensorDescriptor(in_block_global_desc.GetLengths());
    constexpr auto wei_block_desc =
        make_ConstantTensorDescriptor(wei_block_global_desc.GetLengths());

    // shared mem
    constexpr unsigned in_block_size  = in_block_desc.GetElementSpace();
    constexpr unsigned wei_block_size = wei_block_desc.GetElementSpace();

    __shared__ TFloat p_in_block[in_block_size];
    __shared__ TFloat p_wei_block[wei_block_size];

    // threadwise tensors
    constexpr unsigned InTileSizeH = OutTileSizeH + S - 1;
    constexpr unsigned InTileSizeW = OutTileSizeW + R - 1;

    constexpr auto in_thread_block_desc = make_ConstantTensorDescriptor(
        Sequence<NPerThread, CPerThread, InTileSizeH, InTileSizeW>{}, in_block_desc.GetStrides());

    constexpr auto wei_thread_block_desc = make_ConstantTensorDescriptor(
        Sequence<KPerThread, CPerThread, S, R>{}, wei_block_desc.GetStrides());

    constexpr auto in_thread_desc =
        make_ConstantTensorDescriptor(in_thread_block_desc.GetLengths());
    constexpr auto wei_thread_desc =
        make_ConstantTensorDescriptor(wei_thread_block_desc.GetLengths());
    constexpr auto out_thread_desc =
        get_output_4d_tensor_descriptor(in_thread_desc, wei_thread_desc);

    constexpr auto out_thread_global_desc =
        make_ConstantTensorDescriptor(out_thread_desc.GetLengths(), out_global_desc.GetStrides());

    // register
    constexpr unsigned in_thread_size  = in_thread_desc.GetElementSpace();
    constexpr unsigned wei_thread_size = wei_thread_desc.GetElementSpace();
    constexpr unsigned out_thread_size = out_thread_desc.GetElementSpace();

    TFloat p_in_thread[in_thread_size];
    TFloat p_wei_thread[wei_thread_size];
    TFloat p_out_thread[out_thread_size];

    // divide block work
    constexpr unsigned NBlockWork = (out_global_desc.GetLength(I0) + NPerBlock - 1) / NPerBlock;
    constexpr unsigned KBlockWork = (out_global_desc.GetLength(I1) + KPerBlock - 1) / KPerBlock;
    constexpr unsigned YBlockWork = (out_global_desc.GetLength(I2) + HoPerBlock - 1) / HoPerBlock;
    constexpr unsigned XBlockWork = (out_global_desc.GetLength(I3) + WoPerBlock - 1) / WoPerBlock;

    const unsigned block_id = blockIdx.x;

    unsigned itmp                  = block_id;
    const unsigned n_block_work_id = itmp / (KBlockWork * YBlockWork * XBlockWork);
    itmp -= n_block_work_id * (KBlockWork * YBlockWork * XBlockWork);
    const unsigned k_block_work_id = itmp / (YBlockWork * XBlockWork);
    itmp -= k_block_work_id * (YBlockWork * XBlockWork);
    const unsigned y_block_work_id = itmp / XBlockWork;
    const unsigned x_block_work_id = itmp - y_block_work_id * XBlockWork;

    const unsigned n_block_data_offset = n_block_work_id * NPerBlock;
    const unsigned k_block_data_offset = k_block_work_id * KPerBlock;
    const unsigned y_block_data_offset = y_block_work_id * YPerBlock;
    const unsigned x_block_data_offset = x_block_work_id * XPerBlock;

    const unsigned ho_block_data_offset = y_block_data_offset * OutTileSizeH;
    const unsigned wo_block_data_offset = x_block_data_offset * OutTileSizeW;

    const unsigned hi_block_data_offset = ho_block_data_offset; // minus padding
    const unsigned wi_block_data_offset = wo_block_data_offset; // minus padding

    // divide thread work
    constexpr unsigned NThreadWork = (NPerBlock + NPerThread - 1) / NPerThread;
    constexpr unsigned KThreadWork = (KPerBlock + KPerThread - 1) / KPerThread;
    constexpr unsigned YThreadWork = YPerBlock;
    constexpr unsigned XThreadWork = XPerBlock;

    const unsigned thread_id = threadIdx.x;

    itmp                            = thread_id;
    const unsigned n_thread_work_id = itmp / (KThreadWork * YThreadWork * XThreadWork);
    itmp -= n_thread_work_id * (KThreadWork * YThreadWork * XThreadWork);
    const unsigned k_thread_work_id = itmp / (YThreadWork * XThreadWork);
    itmp -= k_thread_work_id * (YThreadWork * XThreadWork);
    const unsigned y_thread_work_id = itmp / XThreadWork;
    const unsigned x_thread_work_id = itmp - y_thread_work_id * XThreadWork;

    const unsigned n_thread_data_offset  = n_thread_work_id * NPerThread;
    const unsigned k_thread_data_offset  = k_thread_work_id * KPerThread;
    const unsigned ho_thread_data_offset = y_thread_work_id * OutTileSizeH;
    const unsigned wo_thread_data_offset = x_thread_work_id * OutTileSizeW;

    const unsigned hi_thread_data_offset = ho_thread_data_offset;
    const unsigned wi_thread_data_offset = wo_thread_data_offset;

#if 0
    if(threadIdx.x == 0)
    {
        print_ConstantTensorDescriptor(in_global_desc, "gridwise_convolution:  in_global_desc: ");
        print_ConstantTensorDescriptor(wei_global_desc, "gridwise_convolution: wei_global_desc: ");
        print_ConstantTensorDescriptor(out_global_desc, "gridwise_convolution: out_global_desc: ");
    }

    printf("threadIdx.x %u \t"
           "n_thread_data_offset %u, k_thread_data_offset %u, ho_thread_data_offset %u, "
           "wo_thread_data_offset %u\n",
           threadIdx.x,
           n_thread_data_offset,
           k_thread_data_offset,
           ho_thread_data_offset,
           wo_thread_data_offset);
#endif

    // set threadwise output tensor to 0
Chao Liu's avatar
Chao Liu committed
165
    threadwise_4d_tensor_set_zero(out_thread_desc, p_out_thread);
Chao Liu's avatar
Chao Liu committed
166
167
168
169
170

    for(unsigned c_block_data_offset = 0; c_block_data_offset < in_global_desc.GetLength(I1);
        c_block_data_offset += CPerBlock, __syncthreads())
    {
        // copy input tensor to LDS
Chao Liu's avatar
Chao Liu committed
171
172
173
174
175
176
177
178
179
180
181
        blockwise_4d_tensor_copy<TFloat,
                                 decltype(in_block_global_desc),
                                 decltype(in_block_desc),
                                 BlockSize>(in_block_global_desc,
                                            p_in_global +
                                                in_global_desc.Get1dIndex(n_block_data_offset,
                                                                          c_block_data_offset,
                                                                          hi_block_data_offset,
                                                                          wi_block_data_offset),
                                            in_block_desc,
                                            p_in_block);
Chao Liu's avatar
Chao Liu committed
182
183

        // copy weight tensor to LDS
Chao Liu's avatar
Chao Liu committed
184
185
186
187
        blockwise_4d_tensor_copy<TFloat,
                                 decltype(wei_block_global_desc),
                                 decltype(wei_block_desc),
                                 BlockSize>(
Chao Liu's avatar
Chao Liu committed
188
189
190
191
            wei_block_global_desc,
            p_wei_global +
                wei_global_desc.Get1dIndex(k_block_data_offset, c_block_data_offset, 0, 0),
            wei_block_desc,
Chao Liu's avatar
Chao Liu committed
192
            p_wei_block);
Chao Liu's avatar
Chao Liu committed
193
194
195

        __syncthreads();

196
        for(unsigned c_thread_data = 0; c_thread_data < CPerBlock; c_thread_data += CPerThread)
Chao Liu's avatar
Chao Liu committed
197
198
        {
            // copy input tensor into register
Chao Liu's avatar
Chao Liu committed
199
200
201
202
203
204
205
            threadwise_4d_tensor_copy(in_thread_block_desc,
                                      p_in_block + in_block_desc.Get1dIndex(n_thread_data_offset,
                                                                            c_thread_data,
                                                                            hi_thread_data_offset,
                                                                            wi_thread_data_offset),
                                      in_thread_desc,
                                      p_in_thread);
Chao Liu's avatar
Chao Liu committed
206
207

            // copy weight tensor into register
Chao Liu's avatar
Chao Liu committed
208
            threadwise_4d_tensor_copy(
Chao Liu's avatar
Chao Liu committed
209
                wei_thread_block_desc,
210
                p_wei_block + wei_block_desc.Get1dIndex(k_thread_data_offset, c_thread_data, 0, 0),
Chao Liu's avatar
Chao Liu committed
211
                wei_thread_desc,
Chao Liu's avatar
Chao Liu committed
212
                p_wei_thread);
Chao Liu's avatar
Chao Liu committed
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227

            // threadwise convolution
            threadwise_direct_convolution<TFloat,
                                          decltype(in_thread_desc),
                                          decltype(wei_thread_desc),
                                          decltype(out_thread_desc)>(in_thread_desc,
                                                                     p_in_thread,
                                                                     wei_thread_desc,
                                                                     p_wei_thread,
                                                                     out_thread_desc,
                                                                     p_out_thread);
        }
    }

    // copy output tensor from register to global mem
Chao Liu's avatar
Chao Liu committed
228
    threadwise_4d_tensor_copy(
Chao Liu's avatar
Chao Liu committed
229
230
231
232
233
234
        out_thread_desc,
        p_out_thread,
        out_thread_global_desc,
        p_out_global + out_global_desc.Get1dIndex(n_block_data_offset + n_thread_data_offset,
                                                  k_block_data_offset + k_thread_data_offset,
                                                  ho_block_data_offset + ho_thread_data_offset,
Chao Liu's avatar
Chao Liu committed
235
                                                  wo_block_data_offset + wo_thread_data_offset));
236
}