File size: 9,519 Bytes
b024d42
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.

#include "ck/host_utility/io.hpp"

#include "ck/library/utility/convolution_parameter.hpp"

namespace ck {
namespace utils {
namespace conv {

ConvParam::ConvParam(ck::index_t n_dim,
                     ck::index_t group_count,
                     ck::index_t n_batch,
                     ck::index_t n_out_channels,
                     ck::index_t n_in_channels,
                     const std::vector<ck::index_t>& filters_len,
                     const std::vector<ck::index_t>& input_len,
                     const std::vector<ck::index_t>& strides,
                     const std::vector<ck::index_t>& dilations,
                     const std::vector<ck::index_t>& left_pads,
                     const std::vector<ck::index_t>& right_pads)
    : num_dim_spatial_(static_cast<ck::long_index_t>(n_dim)),
      G_(static_cast<ck::long_index_t>(group_count)),
      N_(static_cast<ck::long_index_t>(n_batch)),
      K_(static_cast<ck::long_index_t>(n_out_channels)),
      C_(static_cast<ck::long_index_t>(n_in_channels)),
      filter_spatial_lengths_(num_dim_spatial_),
      input_spatial_lengths_(num_dim_spatial_),
      output_spatial_lengths_(num_dim_spatial_),
      conv_filter_strides_(num_dim_spatial_),
      conv_filter_dilations_(num_dim_spatial_),
      input_left_pads_(num_dim_spatial_),
      input_right_pads_(num_dim_spatial_)
{
    if(static_cast<ck::index_t>(filter_spatial_lengths_.size()) != num_dim_spatial_ ||
       static_cast<ck::index_t>(input_spatial_lengths_.size()) != num_dim_spatial_ ||
       static_cast<ck::index_t>(conv_filter_strides_.size()) != num_dim_spatial_ ||
       static_cast<ck::index_t>(conv_filter_dilations_.size()) != num_dim_spatial_ ||
       static_cast<ck::index_t>(input_left_pads_.size()) != num_dim_spatial_ ||
       static_cast<ck::index_t>(input_right_pads_.size()) != num_dim_spatial_)
    {
        throw(
            std::runtime_error("ConvParam::ConvParam: "
                               "parameter size is different from number of declared dimensions!"));
    }

    for(ck::index_t i = 0; i < num_dim_spatial_; ++i)
    {
        filter_spatial_lengths_[i] = static_cast<ck::long_index_t>(filters_len[i]);
        input_spatial_lengths_[i]  = static_cast<ck::long_index_t>(input_len[i]);
        conv_filter_strides_[i]    = static_cast<ck::long_index_t>(strides[i]);
        conv_filter_dilations_[i]  = static_cast<ck::long_index_t>(dilations[i]);
        input_left_pads_[i]        = static_cast<ck::long_index_t>(left_pads[i]);
        input_right_pads_[i]       = static_cast<ck::long_index_t>(right_pads[i]);

        // XEff = (X - 1) * conv_dilation_w + 1;
        // Wo = (Wi + in_left_pad_w + in_right_pad_w - XEff) / conv_stride_w + 1;
        const ck::long_index_t x_eff =
            (filter_spatial_lengths_[i] - 1) * conv_filter_dilations_[i] + 1;

        output_spatial_lengths_[i] =
            (input_spatial_lengths_[i] + input_left_pads_[i] + input_right_pads_[i] - x_eff) /
                conv_filter_strides_[i] +
            1;
    }
}

ConvParam::ConvParam(ck::long_index_t n_dim,
                     ck::long_index_t group_count,
                     ck::long_index_t n_batch,
                     ck::long_index_t n_out_channels,
                     ck::long_index_t n_in_channels,
                     const std::vector<ck::long_index_t>& filters_len,
                     const std::vector<ck::long_index_t>& input_len,
                     const std::vector<ck::long_index_t>& strides,
                     const std::vector<ck::long_index_t>& dilations,
                     const std::vector<ck::long_index_t>& left_pads,
                     const std::vector<ck::long_index_t>& right_pads)
    : num_dim_spatial_(n_dim),
      G_(group_count),
      N_(n_batch),
      K_(n_out_channels),
      C_(n_in_channels),
      filter_spatial_lengths_(filters_len),
      input_spatial_lengths_(input_len),
      output_spatial_lengths_(num_dim_spatial_),
      conv_filter_strides_(strides),
      conv_filter_dilations_(dilations),
      input_left_pads_(left_pads),
      input_right_pads_(right_pads)
{
    if(static_cast<ck::index_t>(filter_spatial_lengths_.size()) != num_dim_spatial_ ||
       static_cast<ck::index_t>(input_spatial_lengths_.size()) != num_dim_spatial_ ||
       static_cast<ck::index_t>(conv_filter_strides_.size()) != num_dim_spatial_ ||
       static_cast<ck::index_t>(conv_filter_dilations_.size()) != num_dim_spatial_ ||
       static_cast<ck::index_t>(input_left_pads_.size()) != num_dim_spatial_ ||
       static_cast<ck::index_t>(input_right_pads_.size()) != num_dim_spatial_)
    {
        throw(
            std::runtime_error("ConvParam::ConvParam: "
                               "parameter size is different from number of declared dimensions!"));
    }

    for(ck::index_t i = 0; i < num_dim_spatial_; ++i)
    {
        // XEff = (X - 1) * conv_dilation_w + 1;
        // Wo = (Wi + in_left_pad_w + in_right_pad_w - XEff) / conv_stride_w + 1;
        const ck::long_index_t x_eff =
            (filter_spatial_lengths_[i] - 1) * conv_filter_dilations_[i] + 1;

        output_spatial_lengths_[i] =
            (input_spatial_lengths_[i] + input_left_pads_[i] + input_right_pads_[i] - x_eff) /
                conv_filter_strides_[i] +
            1;
    }
}

ConvParam::ConvParam()
    : ConvParam::ConvParam(2, 1, 128, 256, 192, {3, 3}, {71, 71}, {2, 2}, {1, 1}, {1, 1}, {1, 1})
{
}

std::vector<ck::long_index_t> ConvParam::GetOutputSpatialLengths() const
{
    return output_spatial_lengths_;
}

std::size_t ConvParam::GetFlops() const
{
    // 2 * G * N * K * C * <output spatial lengths product> * <filter spatial lengths product>
    return static_cast<std::size_t>(2) * G_ * N_ * K_ * C_ *
           ck::accumulate_n<std::size_t>(
               std::begin(output_spatial_lengths_), num_dim_spatial_, 1, std::multiplies<>()) *
           ck::accumulate_n<std::size_t>(
               std::begin(filter_spatial_lengths_), num_dim_spatial_, 1, std::multiplies<>());
}

std::string get_conv_param_parser_helper_msg()
{
    std::string msg;

    msg += "Following arguments (depending on number of spatial dims):\n"
           " Number of spatial dimensions (1=Conv1d, 2=Conv2d, 3=Conv3d)\n"
           " G, N, K, C, \n"
           " <filter spatial dimensions>, (ie Y, X for 2D)\n"
           " <input image spatial dimensions>, (ie Hi, Wi for 2D)\n"
           " <strides>, (ie Sy, Sx for 2D)\n"
           " <dilations>, (ie Dy, Dx for 2D)\n"
           " <left padding>, (ie LeftPy, LeftPx for 2D)\n"
           " <right padding>, (ie RightPy, RightPx for 2D)\n";

    return msg;
}

ck::utils::conv::ConvParam parse_conv_param(int num_dim_spatial, int arg_idx, char* const argv[])
{
    const ck::long_index_t G = std::stol(argv[arg_idx++]);
    const ck::long_index_t N = std::stol(argv[arg_idx++]);
    const ck::long_index_t K = std::stol(argv[arg_idx++]);
    const ck::long_index_t C = std::stol(argv[arg_idx++]);

    std::vector<ck::long_index_t> filter_spatial_lengths(num_dim_spatial);
    std::vector<ck::long_index_t> input_spatial_lengths(num_dim_spatial);
    std::vector<ck::long_index_t> conv_filter_strides(num_dim_spatial);
    std::vector<ck::long_index_t> conv_filter_dilations(num_dim_spatial);
    std::vector<ck::long_index_t> input_left_pads(num_dim_spatial);
    std::vector<ck::long_index_t> input_right_pads(num_dim_spatial);

    for(int i = 0; i < num_dim_spatial; ++i)
    {
        filter_spatial_lengths[i] = std::stol(argv[arg_idx++]);
    }

    for(int i = 0; i < num_dim_spatial; ++i)
    {
        input_spatial_lengths[i] = std::stol(argv[arg_idx++]);
    }

    for(int i = 0; i < num_dim_spatial; ++i)
    {
        conv_filter_strides[i] = std::stol(argv[arg_idx++]);
    }

    for(int i = 0; i < num_dim_spatial; ++i)
    {
        conv_filter_dilations[i] = std::stol(argv[arg_idx++]);
    }

    for(int i = 0; i < num_dim_spatial; ++i)
    {
        input_left_pads[i] = std::stol(argv[arg_idx++]);
    }

    for(int i = 0; i < num_dim_spatial; ++i)
    {
        input_right_pads[i] = std::stol(argv[arg_idx++]);
    }

    return ck::utils::conv::ConvParam{num_dim_spatial,
                                      G,
                                      N,
                                      K,
                                      C,
                                      filter_spatial_lengths,
                                      input_spatial_lengths,
                                      conv_filter_strides,
                                      conv_filter_dilations,
                                      input_left_pads,
                                      input_right_pads};
}
} // namespace conv
} // namespace utils
} // namespace ck

std::ostream& operator<<(std::ostream& os, const ck::utils::conv::ConvParam& p)
{
    os << "ConvParam {"
       << "\nnum_dim_spatial: " << p.num_dim_spatial_ << "\nG: " << p.G_ << "\nN: " << p.N_
       << "\nK: " << p.K_ << "\nC: " << p.C_
       << "\nfilter_spatial_lengths: " << p.filter_spatial_lengths_
       << "\ninput_spatial_lengths: " << p.input_spatial_lengths_
       << "\nconv_filter_strides: " << p.conv_filter_strides_
       << "\nconv_filter_dilations: " << p.conv_filter_dilations_
       << "\ninput_left_pads: " << p.input_left_pads_
       << "\ninput_right_pads: " << p.input_right_pads_ << "}\n";

    return os;
}