"docs/vscode:/vscode.git/clone" did not exist on "ebd5627138debba28fe0226b89da11a68788a042"
generate_root_modules.cpp 15.5 KB
Newer Older
umang yadav's avatar
umang yadav 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
/*
 * The MIT License (MIT)
 *
 * Copyright (c) 2015-2023 Advanced Micro Devices, Inc. All rights reserved.
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 * THE SOFTWARE.
 */
#include <cstddef>
#include <limits>
#include <iterator>
#include <unordered_map>
#include <unordered_set>

#include <migraphx/env.hpp>
#include <migraphx/algorithm.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/generate_root_modules.hpp>
#include <migraphx/pass_manager.hpp>
#include <migraphx/dead_code_elimination.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/program.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/iterator_for.hpp>
#include <migraphx/ranges.hpp>

Umang Yadav's avatar
Umang Yadav committed
42
MIGRAPHX_DECLARE_ENV_VAR(MIGRAPHX_DEBUG_ROOT_GENERATOR)
umang yadav's avatar
umang yadav committed
43
44
45
46
47
48
49
50
51
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {

// copied from fuse_pointwise.cpp
static literal get_scalar(instruction_ref ins)
{
    if(ins->name() == "contiguous")
        return get_scalar(ins->inputs().front());
    const auto& s = ins->get_shape();
umang yadav's avatar
umang yadav committed
52
    if(s.elements() != 1 and not(s.scalar()))
umang yadav's avatar
umang yadav committed
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
        return {};
    if(not ins->can_eval())
        return {};
    auto e = ins->eval();
    literal r{};
    // needed for bool as visit_at invokes as() which promotes bool to int8
    // Without this we'll break type checks for logical ops that are fused.
    if(e.get_shape().type() == shape::bool_type)
    {
        r = literal{e.at<bool>()};
    }
    else
    {
        e.visit_at([&](auto x) { r = literal{x}; });
    }
    return r;
}

/*
Given target assignments (tass) for the instructions, generate run_on_target modules subgraphs
automatically. Input graph should be uncompiled migraphx program. target assignments (tass) map
should have a map of instruction to target_id. Instructions that are not inside tass map are
considered to be targeted for the "Ref" by default. params, literals and other builtins shouldn't be
Umang Yadav's avatar
Umang Yadav committed
76
77
78
79
80
part of the tass, only compute and certain reshaper instructions should be part of tass. Copy, sync
and alloc instructions would be generated by compiler at later stage, so those shouldn't be
considered. (TODO): CustomOps may require special handling.

Ref is used as default target for instructions that do not have assignments.
umang yadav's avatar
umang yadav committed
81
82

Step 1:
Umang Yadav's avatar
Umang Yadav committed
83
84
85
86
87
88
89
Identify subgraph boundaries:
(a) Boundaries can happen when any output of a node doesn't have same target
assignment as the node itself.
(b) Boundaries can happen when any output of any node doesn't have all its inputs with same target
assignment as the node itself.

For example graphs like following:
umang yadav's avatar
umang yadav committed
90
91
92
93
94
1.  Ref --> Target X --> Ref
2.  Ref --> Target X --> Target Y
3.  Target X --> Target Y --> Target Z , in this case target X and target Z can be same
4.  Target X --> "@return"
5.  Target X --> Ref --> "@return"
Umang Yadav's avatar
Umang Yadav committed
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
6.  When there is a fork in graph :
         Ref
          |
    -------------
    |           |
    |           |
Target X       Ref

7. When there is merge in a graph :

    Target X        Ref
       |             |
       ---------------
             |
         Target X
umang yadav's avatar
umang yadav committed
110
111
112
113
114
115
116
117
118
119
120

Each of those identified regions could have futher nested sub modules which needs to be handled
separately.

Step 2:
Collect parameters and return instructions for the subgraphs identified in Step 1.

Step 3:
Create modules using information collected in step 2 and insert run_on_target instructions.
*/

umang yadav's avatar
umang yadav committed
121
struct auto_gen_root_modules
umang yadav's avatar
umang yadav committed
122
123
{

umang yadav's avatar
umang yadav committed
124
    auto_gen_root_modules(migraphx::program& p, const target_assignments& target_assignments)
umang yadav's avatar
umang yadav committed
125
126
127
        : tass(target_assignments)
    {
        auto* mm = p.get_main_module();
Umang Yadav's avatar
Umang Yadav committed
128
        // initialize tid_counter, it is used to create meaningful names for the target modules
129
130
131
132
133
134
135
        for(const auto& i : tass)
        {
            if(tid_counter.find(i.second) == tid_counter.end())
            {
                update_tid_counter(i.second);
            }
        }
umang yadav's avatar
umang yadav committed
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
        find_subgraphs(mm, p);
        dead_code_elimination{}.apply(p);
    }

    void update_tid_counter(std::size_t tid)
    {
        if(tid_counter.find(tid) != tid_counter.end())
        {
            tid_counter[tid]++;
        }
        else
        {
            tid_counter[tid] = 0;
        }
    }

Umang Yadav's avatar
Fixes  
Umang Yadav committed
152
    bool is_different_subgraph(migraphx::instruction_ref ins, std::optional<std::size_t> tid)
Umang Yadav's avatar
Umang Yadav committed
153
    {
Umang Yadav's avatar
Fixes  
Umang Yadav committed
154
        if(tass.find(ins) == tass.end())
Umang Yadav's avatar
Umang Yadav committed
155
        {
Umang Yadav's avatar
Fixes  
Umang Yadav committed
156
            return tid.has_value();
Umang Yadav's avatar
Umang Yadav committed
157
        }
Umang Yadav's avatar
Fixes  
Umang Yadav committed
158
        return tass.at(ins) != tid.value_or(std::numeric_limits<std::size_t>::max());
Umang Yadav's avatar
Umang Yadav committed
159
160
    }

Umang Yadav's avatar
Fixes  
Umang Yadav committed
161
    bool is_merge_node(migraphx::instruction_ref ins, std::optional<std::size_t> tid)
Umang Yadav's avatar
Umang Yadav committed
162
163
    {
        const auto inputs = ins->inputs();
Umang Yadav's avatar
Umang Yadav committed
164
165
        if(inputs.size() == 1)
        {
Umang Yadav's avatar
Umang Yadav committed
166
            return false;
Umang Yadav's avatar
Umang Yadav committed
167
        }
Umang Yadav's avatar
Umang Yadav committed
168
169
170
171
172
173
174
175
176
        return std::any_of(inputs.begin(), inputs.end(), [&](auto input_ins) {
            if((skip_ins.find(input_ins) != skip_ins.end()) or
               (tass.find(input_ins) != tass.end() and
                tass.at(ins) != tid.value_or(std::numeric_limits<std::size_t>::max())))
            {
                return true;
            }
            return false;
        });
Umang Yadav's avatar
Umang Yadav committed
177
178
    }

Umang Yadav's avatar
Fixes  
Umang Yadav committed
179
    bool is_fork_node(migraphx::instruction_ref ins, std::optional<std::size_t> tid)
Umang Yadav's avatar
Umang Yadav committed
180
181
    {
        const auto outputs = ins->outputs();
Umang Yadav's avatar
Umang Yadav committed
182
183
        if(outputs.size() == 1)
        {
Umang Yadav's avatar
Umang Yadav committed
184
            return false;
Umang Yadav's avatar
Umang Yadav committed
185
        }
Umang Yadav's avatar
Umang Yadav committed
186
187
188
189
190
191
192
193
194
        return std::any_of(outputs.begin(), outputs.end(), [&](auto output_ins) {
            if(tass.find(output_ins) != tass.end() and
               tass.at(output_ins) != tid.value_or(std::numeric_limits<std::size_t>::max()) and
               output_ins->name() != "@return")
            {
                return true;
            }
            return false;
        });
Umang Yadav's avatar
Umang Yadav committed
195
196
    }

umang yadav's avatar
umang yadav committed
197
198
199
200
    void find_subgraphs(migraphx::module_ref mm, migraphx::program& p)
    {
        // sort the graph in reverse post order DFS order
        mm->sort();
Umang Yadav's avatar
Umang Yadav committed
201
        if(enabled(MIGRAPHX_DEBUG_ROOT_GENERATOR{}))
umang yadav's avatar
umang yadav committed
202
203
204
205
        {
            std::cout << "sorted module: \n";
            mm->debug_print();
        }
Umang Yadav's avatar
Umang Yadav committed
206
        bool fork_node                         = false;
Umang Yadav's avatar
Fixes  
Umang Yadav committed
207
        std::optional<std::size_t> current_tid = nullopt;
umang yadav's avatar
umang yadav committed
208
209
        for(auto ins : iterator_for(*mm))
        {
Umang Yadav's avatar
Umang Yadav committed
210
            if(enabled(MIGRAPHX_DEBUG_ROOT_GENERATOR{}))
umang yadav's avatar
umang yadav committed
211
212
213
214
            {
                std::cout << "looking at instruction: \n";
                ins->debug_print();
            }
Umang Yadav's avatar
Umang Yadav committed
215
216
217
            if(fork_node)
            {
                assert(current_tid.has_value());
Umang Yadav's avatar
Umang Yadav committed
218
                generate_run_on_target_modules(mm, p, ins, current_tid);
Umang Yadav's avatar
Umang Yadav committed
219
220
221
222
223
224
225
226
                if(not same_tid_ins_vec.empty())
                {
                    current_tid = nullopt;
                    same_tid_ins_set.erase(ins);
                    same_tid_ins_vec.pop_back();
                }
                fork_node = false;
            }
umang yadav's avatar
umang yadav committed
227
228
            // skip all params, literal and builtins other than return, skip "run_on_target_mod"
            // ins
umang yadav's avatar
umang yadav committed
229
230
            if((starts_with(ins->name(), "@") and ins->name() != "@return") or
               skip_ins.count(ins) != 0)
umang yadav's avatar
umang yadav committed
231
232
233
            {
                continue;
            }
Umang Yadav's avatar
Fixes  
Umang Yadav committed
234
            if(not current_tid.has_value())
umang yadav's avatar
umang yadav committed
235
            {
Umang Yadav's avatar
Umang Yadav committed
236
                if(tass.find(ins) != tass.end())
Umang Yadav's avatar
Fixes  
Umang Yadav committed
237
238
239
240
                {
                    current_tid = std::make_optional<std::size_t>(tass.at(ins));
                    same_tid_ins_vec.push_back(ins);
                    same_tid_ins_set.insert(ins);
Umang Yadav's avatar
Umang Yadav committed
241
                    fork_node = is_fork_node(ins, current_tid);
Umang Yadav's avatar
Umang Yadav committed
242
                }
umang yadav's avatar
umang yadav committed
243
244
245
            }
            else
            {
Umang Yadav's avatar
Fixes  
Umang Yadav committed
246
247
248
                if(ins->name() == "@return" or is_different_subgraph(ins, current_tid) or
                   is_merge_node(ins, current_tid))
                {
Umang Yadav's avatar
Umang Yadav committed
249
                    generate_run_on_target_modules(mm, p, ins, current_tid);
Umang Yadav's avatar
Fixes  
Umang Yadav committed
250
251
252
253
254
255
256
257
                }
                else if(tass.at(ins) == current_tid.value())
                {
                    same_tid_ins_vec.push_back(ins);
                    same_tid_ins_set.insert(ins);
                }
                else
                {
Umang Yadav's avatar
Umang Yadav committed
258
                    MIGRAPHX_THROW("GenerateRootModules: this case shouldn't occur");
Umang Yadav's avatar
Fixes  
Umang Yadav committed
259
                }
Umang Yadav's avatar
Umang Yadav committed
260
                fork_node = is_fork_node(ins, current_tid);
umang yadav's avatar
umang yadav committed
261
262
            }

Umang Yadav's avatar
Umang Yadav committed
263
            if(not ins->module_inputs().empty())
umang yadav's avatar
umang yadav committed
264
265
266
267
268
            {
                std::vector<instruction_ref> same_tid_ins_vec_copy        = {};
                std::unordered_set<instruction_ref> same_tid_ins_set_copy = {};
                std::swap(same_tid_ins_set_copy, same_tid_ins_set);
                std::swap(same_tid_ins_vec_copy, same_tid_ins_vec);
umang yadav's avatar
umang yadav committed
269
                for(auto* sub_mod : ins->module_inputs())
umang yadav's avatar
umang yadav committed
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
                {
                    find_subgraphs(sub_mod, p);
                }
                std::swap(same_tid_ins_set_copy, same_tid_ins_set);
                std::swap(same_tid_ins_vec_copy, same_tid_ins_vec);
                mm->replace_instruction(
                    ins, ins->get_operator(), ins->inputs(), ins->module_inputs());
            }
        }
        assert(same_tid_ins_set.empty() and same_tid_ins_vec.empty());
    }

    void generate_run_on_target_modules(migraphx::module_ref mm,
                                        migraphx::program& p,
                                        migraphx::instruction_ref ins,
Umang Yadav's avatar
Umang Yadav committed
285
                                        std::optional<std::size_t>& current_tid)
umang yadav's avatar
umang yadav committed
286
287
288
289
    {
        assert(same_tid_ins_vec.size() == same_tid_ins_set.size());
        if(same_tid_ins_vec.empty())
        {
Umang Yadav's avatar
Umang Yadav committed
290
            assert(not current_tid.has_value());
umang yadav's avatar
umang yadav committed
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
            return;
        }
        // gather all parameters
        std::unordered_set<instruction_ref> params;
        // gather all return values
        std::unordered_set<instruction_ref> return_ins;
        for(auto tins : iterator_for(same_tid_ins_vec))
        {
            auto inputs  = (*tins)->inputs();
            auto outputs = (*tins)->outputs();
            transform_if(
                inputs.cbegin(),
                inputs.cend(),
                std::inserter(params, params.end()),
                [&](auto in_param) {
                    return (params.count(in_param) == 0 and same_tid_ins_set.count(in_param) == 0);
                },
                [&](auto in_param) { return in_param; });
            if(std::any_of(outputs.begin(), outputs.end(), [&](const auto out_ins) {
                   return same_tid_ins_set.count(out_ins) == 0;
               }))
            {
                return_ins.insert(*tins);
            }
        }
Umang Yadav's avatar
Umang Yadav committed
316
        if(enabled(MIGRAPHX_DEBUG_ROOT_GENERATOR{}))
umang yadav's avatar
umang yadav committed
317
318
319
320
321
322
        {
            std::cout << "params ins: \n";
            for(auto tmp : iterator_for(params))
            {
                (*tmp)->debug_print();
            }
Umang Yadav's avatar
Umang Yadav committed
323
            std::cout << "return ins: \n";
umang yadav's avatar
umang yadav committed
324
325
326
327
328
329
            for(auto tmp : iterator_for(return_ins))
            {
                (*tmp)->debug_print();
            }
        }

Umang Yadav's avatar
Umang Yadav committed
330
331
332
        auto* tmod = p.create_module("target_mod_" + std::to_string(current_tid.value()) + "_" +
                                     std::to_string(tid_counter[current_tid.value()]));
        update_tid_counter(current_tid.value());
umang yadav's avatar
umang yadav committed
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
        std::unordered_map<instruction_ref, instruction_ref> params_map;
        std::size_t param_counter = 0;
        std::vector<instruction_ref> rot_ins_params;
        for(auto pins : iterator_for(params))
        {
            auto scalar = get_scalar(*pins);
            if(scalar.empty())
            {
                params_map[*pins] = tmod->add_parameter("param:" + std::to_string(param_counter++),
                                                        (*pins)->get_shape());
                rot_ins_params.push_back(*pins);
            }
            else
            {
                params_map[*pins] = tmod->add_literal(scalar);
            }
        }
umang yadav's avatar
umang yadav committed
350

umang yadav's avatar
umang yadav committed
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
        // TODO: what if params_map is empty ?
        assert(not params_map.empty());
        for(auto tins : iterator_for(same_tid_ins_vec))
        {
            auto inputs = (*tins)->inputs();
            std::vector<instruction_ref> new_inputs;
            std::transform(inputs.begin(),
                           inputs.end(),
                           std::back_inserter(new_inputs),
                           [&](auto input_ins) { return params_map.at(input_ins); });
            auto tmod_tins = tmod->add_instruction(
                (*tins)->get_operator(), new_inputs, (*tins)->module_inputs());
            // add parameter to params map so that it can be looked up by other insturctions
            params_map[*tins] = tmod_tins;
        }
umang yadav's avatar
umang yadav committed
366

umang yadav's avatar
umang yadav committed
367
368
369
370
371
372
373
374
        std::vector<instruction_ref> rins;
        std::unordered_map<instruction_ref, std::size_t> return_ins_idx_map;
        for(auto ritr : iterator_for(return_ins))
        {
            rins.push_back(params_map.at(*ritr));
            return_ins_idx_map[*ritr] = std::distance(ritr, return_ins.begin());
        }
        tmod->add_return(rins);
umang yadav's avatar
umang yadav committed
375

Umang Yadav's avatar
Umang Yadav committed
376
        if(enabled(MIGRAPHX_DEBUG_ROOT_GENERATOR{}))
umang yadav's avatar
umang yadav committed
377
378
379
380
        {
            std::cout << "Created target module: " << tmod->name() << "\n";
            tmod->debug_print();
        }
umang yadav's avatar
umang yadav committed
381

umang yadav's avatar
umang yadav committed
382
        // add run_on_target ins
Umang Yadav's avatar
Umang Yadav committed
383
384
385
386
387
        auto rot_ins =
            mm->insert_instruction(ins,
                                   make_op("run_on_target", {{"target_id", current_tid.value()}}),
                                   rot_ins_params,
                                   {tmod});
umang yadav's avatar
umang yadav committed
388
        skip_ins.insert(rot_ins);
umang yadav's avatar
umang yadav committed
389

umang yadav's avatar
umang yadav committed
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
        // fetch return instructions from tuple
        for(auto mm_rins : iterator_for(return_ins))
        {
            auto tuple_elem_ins = mm->insert_instruction(
                ins,
                make_op("get_tuple_elem", {{"index", return_ins_idx_map.at(*mm_rins)}}),
                rot_ins);
            skip_ins.insert(tuple_elem_ins);
            // replace returns from tmod in main module
            mm->replace_instruction(*mm_rins, tuple_elem_ins);
        }
        dead_code_elimination{}.apply(*mm);
        // update current_tid
        same_tid_ins_set.clear();
        same_tid_ins_vec.clear();
        if(tass.find(ins) != tass.end())
        {
Umang Yadav's avatar
Umang Yadav committed
407
            current_tid = std::make_optional<std::size_t>(tass.at(ins));
umang yadav's avatar
umang yadav committed
408
409
410
411
412
            same_tid_ins_set.insert(ins);
            same_tid_ins_vec.push_back(ins);
        }
        else
        {
Umang Yadav's avatar
Umang Yadav committed
413
            current_tid = nullopt;
umang yadav's avatar
umang yadav committed
414
        }
Umang Yadav's avatar
Umang Yadav committed
415
        if(enabled(MIGRAPHX_DEBUG_ROOT_GENERATOR{}))
umang yadav's avatar
umang yadav committed
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
        {
            std::cout << "Main module after creation of target module: " << tmod->name() << "\n";
            mm->debug_print();
        }
    }

    private:
    const target_assignments tass;
    std::unordered_map<std::size_t, std::size_t> tid_counter;
    std::unordered_set<instruction_ref> skip_ins;
    std::vector<instruction_ref> same_tid_ins_vec;
    std::unordered_set<instruction_ref> same_tid_ins_set;
};

void generate_root_modules(migraphx::program& p, const target_assignments& tass)
{
umang yadav's avatar
umang yadav committed
432
    auto_gen_root_modules(p, tass);
umang yadav's avatar
umang yadav committed
433
434
435
436
}

} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx