"...resnet50_tensorflow.git" did not exist on "ca88e8b4847fe542ac95a7a98f61e15d16f5c71b"
program.cpp 36.3 KB
Newer Older
1
#include "migraphx/instruction_ref.hpp"
2
#include <functional>
Paul's avatar
Paul committed
3
4
5
#include <migraphx/program.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/instruction.hpp>
6
#include <migraphx/op/identity.hpp>
Paul's avatar
Paul committed
7
#include <migraphx/target.hpp>
Paul's avatar
Paul committed
8
9
10
#include <migraphx/env.hpp>
#include <migraphx/ranges.hpp>
#include <migraphx/time.hpp>
11
#include <migraphx/pass_manager.hpp>
12
#include <migraphx/register_target.hpp>
Shucai Xiao's avatar
Shucai Xiao committed
13
#include <migraphx/iterator_for.hpp>
14
#include <migraphx/iterator.hpp>
15
#include <migraphx/algorithm.hpp>
16
#include <migraphx/output_iterator.hpp>
Shucai Xiao's avatar
Shucai Xiao committed
17
#include <migraphx/make_op.hpp>
18
#include <migraphx/marker.hpp>
Paul's avatar
Paul committed
19
#include <iostream>
20
#include <numeric>
Paul's avatar
Paul committed
21
#include <sstream>
Paul's avatar
Paul committed
22
#include <algorithm>
23
#include <set>
Paul's avatar
Paul committed
24
#include <utility>
25
#include <iomanip>
26

27
#include <unordered_set>
Shucai Xiao's avatar
Shucai Xiao committed
28
29
#include <map>
#include <cassert>
Paul's avatar
Paul committed
30

Paul's avatar
Paul committed
31
namespace migraphx {
Paul's avatar
Paul committed
32
inline namespace MIGRAPHX_INLINE_NS {
Paul's avatar
Paul committed
33

34
35
using milliseconds = std::chrono::duration<double, std::milli>;

Paul's avatar
Paul committed
36
37
struct program_impl
{
Shucai Xiao's avatar
Shucai Xiao committed
38
    // A map is used to keep references to modules of the program
39
    std::unordered_map<std::string, module> modules;
Paul's avatar
Paul committed
40
    context ctx;
41
    std::string target_name;
Paul's avatar
Paul committed
42
43
};

44
program::program() : impl(std::make_unique<program_impl>()) { this->create_module("main"); }
Paul's avatar
Paul committed
45

Paul's avatar
Paul committed
46
program::program(program&&) noexcept = default;
Shucai Xiao's avatar
Shucai Xiao committed
47
program::~program() noexcept         = default;
Paul's avatar
Paul committed
48

49
// copy constructor
Shucai Xiao's avatar
Shucai Xiao committed
50
program::program(const program& p) { assign(p); }
51
52

// copy assignment operator
Shucai Xiao's avatar
Shucai Xiao committed
53
program& program::operator=(program p)
54
{
Shucai Xiao's avatar
Shucai Xiao committed
55
    std::swap(p.impl, this->impl);
56
57
58
    return *this;
}

Shucai Xiao's avatar
Shucai Xiao committed
59
void program::assign(const program& p)
60
{
Shucai Xiao's avatar
Shucai Xiao committed
61
    if(!impl)
62
63
64
    {
        impl = std::make_unique<program_impl>();
    }
Shucai Xiao's avatar
Shucai Xiao committed
65
    else if(!impl->modules.empty())
66
    {
Shucai Xiao's avatar
Shucai Xiao committed
67
        impl->modules.clear();
68
    }
Shucai Xiao's avatar
Shucai Xiao committed
69

70
    impl->ctx         = p.impl->ctx;
Shucai Xiao's avatar
Shucai Xiao committed
71
72
    impl->target_name = p.impl->target_name;
    impl->modules     = p.impl->modules;
Shucai Xiao's avatar
Shucai Xiao committed
73
74
75
76

    // build a map from old ins to new ins
    // Build a map from old module to new module
    std::unordered_map<module_ref, module_ref> mod_map;
Paul's avatar
Paul committed
77
78
79
80
81
    std::transform(
        impl->modules.begin(),
        impl->modules.end(),
        std::inserter(mod_map, mod_map.begin()),
        [&](auto&& xp) { return std::make_pair(&p.impl->modules.at(xp.first), &xp.second); });
Shucai Xiao's avatar
Shucai Xiao committed
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97

    std::unordered_map<instruction_ref, instruction_ref> ins_map;
    for(auto&& pp : mod_map)
    {
        auto old_ins = iterator_for(*pp.first);
        auto new_ins = iterator_for(*pp.second);
        std::transform(old_ins.begin(),
                       old_ins.end(),
                       new_ins.begin(),
                       std::inserter(ins_map, ins_map.begin()),
                       [](auto x, auto y) { return std::make_pair(x, y); });
    }

    // Update all references from all modules
    for(auto&& mp : impl->modules)
    {
98
        for(auto ins : iterator_for(mp.second))
Shucai Xiao's avatar
Shucai Xiao committed
99
100
            instruction::replace_refs(ins, ins_map, mod_map);
    }
101
102
}

Paul's avatar
Paul committed
103
shape program::get_parameter_shape(std::string name) const
Paul's avatar
Paul committed
104
{
Shucai Xiao's avatar
Shucai Xiao committed
105
106
    const auto* mm = this->get_main_module();
    return mm->get_parameter_shape(std::move(name));
Paul's avatar
Paul committed
107
108
}

109
110
std::vector<std::string> program::get_parameter_names() const
{
Shucai Xiao's avatar
Shucai Xiao committed
111
112
    const auto* mm = this->get_main_module();
    return mm->get_parameter_names();
113
114
}

mei-ye's avatar
mei-ye committed
115
116
instruction_ref program::get_parameter(std::string name) const
{
Shucai Xiao's avatar
Shucai Xiao committed
117
118
    const auto* mm = this->get_main_module();
    return mm->get_parameter(std::move(name));
mei-ye's avatar
mei-ye committed
119
120
}

Paul's avatar
Paul committed
121
122
std::unordered_map<std::string, shape> program::get_parameter_shapes() const
{
Shucai Xiao's avatar
Shucai Xiao committed
123
124
    const auto* mm = this->get_main_module();
    return mm->get_parameter_shapes();
Paul's avatar
Paul committed
125
126
}

Shucai Xiao's avatar
Shucai Xiao committed
127
std::size_t program::size() const { return impl->modules.size(); }
128

129
130
std::vector<shape> program::get_output_shapes() const
{
Shucai Xiao's avatar
Shucai Xiao committed
131
132
    const auto* mm = this->get_main_module();
    return mm->get_output_shapes();
133
}
Paul's avatar
Paul committed
134

Paul's avatar
Paul committed
135
136
context& program::get_context() const { return impl->ctx; }

Paul's avatar
Paul committed
137
138
instruction_ref program::validate() const
{
Shucai Xiao's avatar
Shucai Xiao committed
139
140
    const auto* mm = this->get_main_module();
    return mm->validate();
Paul's avatar
Paul committed
141
142
}

143
144
bool program::is_compiled() const { return not this->impl->target_name.empty(); }

145
void program::compile(const target& t, compile_options options)
Paul's avatar
Paul committed
146
{
147
148
149
    assert(not this->is_compiled());
    this->impl->target_name = t.name();
    this->impl->ctx         = t.get_context();
Paul's avatar
Paul committed
150
    if(enabled(MIGRAPHX_TRACE_COMPILE{}))
151
        options.trace = tracer{std::cout};
Shucai Xiao's avatar
Shucai Xiao committed
152

153
154
    options.trace(*this);
    options.trace();
Shucai Xiao's avatar
Shucai Xiao committed
155

Shucai Xiao's avatar
Shucai Xiao committed
156
    auto&& passes = t.get_passes(this->impl->ctx, options);
157
158
159
    run_passes(*this, passes, options.trace);

    auto mods = this->get_modules();
Shucai Xiao's avatar
Shucai Xiao committed
160

161
162
    // Validate and finalize
    for(const auto& mod : reverse(mods))
Paul's avatar
Paul committed
163
    {
Shucai Xiao's avatar
Shucai Xiao committed
164
165
166
167
168
169
        auto invalid = mod->validate();
        if(invalid != mod->end())
        {
            MIGRAPHX_THROW("Invalid module " + mod->name() + " from compilation at instruction " +
                           std::to_string(std::distance(mod->begin(), invalid)));
        }
170
171
172
173
174
        auto dangling = mod->find_dangling_reference();
        if(dangling != mod->end())
        {
            auto index = std::distance(mod->begin(), dangling);
            MIGRAPHX_THROW("Dangling reference in module " + mod->name() + " from instruction " +
175
                           std::to_string(index) + ", (" + dangling->name() + ")");
176
        }
Shucai Xiao's avatar
Shucai Xiao committed
177
        mod->finalize(this->impl->ctx);
Paul's avatar
Paul committed
178
    }
Paul's avatar
Paul committed
179
180
181
182
}

void program::finalize()
{
Shucai Xiao's avatar
Shucai Xiao committed
183
184
    auto* mm = this->get_main_module();
    mm->finalize(this->impl->ctx);
Paul's avatar
Paul committed
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
231
232
233
234
235
236
237
238
239
240
241
242
243
template <class T>
std::string classify(T x)
{
    switch(std::fpclassify(x))
    {
    case FP_INFINITE: return "inf";
    case FP_NAN: return "nan";
    case FP_NORMAL: return "normal";
    case FP_SUBNORMAL: return "subnormal";
    case FP_ZERO: return "zero";
    default: return "unknown";
    }
}

std::unordered_set<std::string> classify_argument(const argument& a)
{
    std::unordered_set<std::string> result;
    a.visit(
        [&](auto t) {
            for(const auto& x : t)
                result.insert(classify(x));
        },
        [&](const auto& xs) {
            for(const auto& x : xs)
            {
                auto r = classify_argument(x);
                result.insert(r.begin(), r.end());
            }
        });
    return result;
}

void preview_argument(std::ostream& os, const argument& a)
{
    a.visit(
        [&](auto t) {
            if(t.size() <= 10)
            {
                os << t;
            }
            else
            {
                os << to_string_range(t.begin(), t.begin() + 5);
                os << ", ..., ";
                os << to_string_range(t.end() - 5, t.end());
            }
        },
        [&](const auto& xs) {
            for(const auto& x : xs)
            {
                os << '{';
                preview_argument(os, x);
                os << '}';
            }
        });
}

Paul's avatar
Paul committed
244
template <class F>
Shucai Xiao's avatar
Shucai Xiao committed
245
std::vector<argument> generic_eval(const module* mod,
246
247
                                   context& ctx,
                                   std::unordered_map<std::string, argument> params,
Shucai Xiao's avatar
Shucai Xiao committed
248
                                   std::unordered_map<instruction_ref, argument> results,
249
                                   F make_trace)
Paul's avatar
Paul committed
250
{
Shucai Xiao's avatar
Shucai Xiao committed
251
252
    assert(mod->validate() == mod->end());
    results.reserve(mod->size() * 2);
Paul's avatar
Paul committed
253
254
    std::vector<argument> values;
    values.reserve(16);
255
    auto trace = make_trace(mod);
Shucai Xiao's avatar
Shucai Xiao committed
256
    for(auto ins : iterator_for(*mod))
Paul's avatar
Paul committed
257
    {
258
        assert(results.find(ins) == results.end());
259
260
        const auto& name = ins->name();
        if(name == "@literal")
Paul's avatar
Paul committed
261
        {
Paul's avatar
Paul committed
262
            results.emplace(ins, trace(ins, [&] { return ins->get_literal().get_argument(); }));
Paul's avatar
Paul committed
263
        }
264
        else if(name == "@param")
Paul's avatar
Paul committed
265
        {
Paul's avatar
Paul committed
266
267
268
269
270
            results.emplace(
                ins, trace(ins, [&] {
                    auto param_name = any_cast<builtin::param>(ins->get_operator()).parameter;
                    if(not contains(params, param_name))
                        MIGRAPHX_THROW("Parameter not found: " + param_name);
271
                    auto param = params[param_name];
Paul's avatar
Paul committed
272
273
274
275
276
                    if(param.get_shape() != ins->get_shape())
                        MIGRAPHX_THROW("Incorrect shape {" + to_string(param.get_shape()) +
                                       "} for parameter: " + param_name);
                    return param;
                }));
Paul's avatar
Paul committed
277
        }
278
        else if(name == "@outline")
Paul's avatar
Paul committed
279
        {
Paul's avatar
Paul committed
280
            results.emplace(ins, trace(ins, [&] { return argument{ins->get_shape(), nullptr}; }));
Paul's avatar
Paul committed
281
        }
282
283
284
285
286
287
288
289
290
291
292
293
294
        else if(name == "@return")
        {
            std::vector<argument> prog_outputs;
            std::transform(ins->inputs().begin(),
                           ins->inputs().end(),
                           std::back_inserter(prog_outputs),
                           [&](instruction_ref i) {
                               assert(results.find(i) != results.end());
                               return results[i];
                           });

            return prog_outputs;
        }
Paul's avatar
Paul committed
295
296
        else
        {
Paul's avatar
Paul committed
297
            values.resize(ins->inputs().size());
Paul's avatar
Paul committed
298
299
300
301
302
            std::transform(
                ins->inputs().begin(), ins->inputs().end(), values.begin(), [&](instruction_ref i) {
                    assert(results.find(i) != results.end());
                    return results[i];
                });
Shucai Xiao's avatar
Shucai Xiao committed
303
304
305
306

            const auto& mod_args = ins->module_inputs();
            auto module_eval     = [&](module_ref smod,
                                   const std::unordered_map<std::string, argument>& inputs) {
Shucai Xiao's avatar
Shucai Xiao committed
307
308
                auto ssctx = ctx;
                return generic_eval(smod, ssctx, inputs, results, make_trace);
Shucai Xiao's avatar
Shucai Xiao committed
309
310
            };

Shucai Xiao's avatar
Shucai Xiao committed
311
312
313
314
            results.emplace(ins, trace(ins, [&] {
                                return ins->normalized_operator().compute(
                                    ctx, ins->get_shape(), values, mod_args, module_eval);
                            }));
Paul's avatar
Paul committed
315
        }
316
        assert(results.find(ins) != results.end());
317
        assert(results.at(ins).get_shape() == ins->get_shape());
Paul's avatar
Paul committed
318
    }
Shucai Xiao's avatar
Shucai Xiao committed
319
    return {results.at(std::prev(mod->end()))};
Paul's avatar
Paul committed
320
321
}

Shucai Xiao's avatar
Shucai Xiao committed
322
323
324
325
template <class F>
std::vector<argument> generic_eval(const program& p,
                                   context& ctx,
                                   std::unordered_map<std::string, argument> params,
326
                                   F make_trace)
Shucai Xiao's avatar
Shucai Xiao committed
327
{
Shucai Xiao's avatar
Shucai Xiao committed
328
    const module* mm = p.get_main_module();
329
    return generic_eval(mm, ctx, params, {}, make_trace);
Shucai Xiao's avatar
Shucai Xiao committed
330
331
}

332
std::vector<argument> program::eval(parameter_map params) const
Paul's avatar
Paul committed
333
{
Paul's avatar
Paul committed
334
335
    auto& ctx = this->impl->ctx;
#ifndef NDEBUG
336
337
338
339
340
341
342
343
344
345
346
    auto with_check_context = [&](auto f) {
        return [=, &ctx](auto&&) {
            auto sctx          = std::make_shared<context>(ctx);
            auto check_context = [=, &ctx](auto g) {
                assert(is_shared(ctx, *sctx));
                auto x = g();
                *sctx  = ctx;
                return x;
            };
            return [=](auto&&... xs) { return f(xs..., check_context); };
        };
Paul's avatar
Paul committed
347
348
    };
#else
349
350
351
352
353
    auto with_check_context = [](auto f) {
        return [=](auto&&) {
            return [=](auto&&... xs) { return f(xs..., [](auto g) { return g(); }); };
        };
    };
Paul's avatar
Paul committed
354
#endif
Paul's avatar
Paul committed
355
356
357
358

    auto trace_level = value_of(MIGRAPHX_TRACE_EVAL{});

    if(trace_level > 0)
Paul's avatar
Paul committed
359
    {
360
361
362
363
364
365
366
367
368
369
370
371
372
373
        return generic_eval(*this,
                            ctx,
                            std::move(params),
                            with_check_context([&](auto& ins, auto f, auto&& check_context) {
                                ctx.finish();
                                std::cout << "Run instruction: ";
                                this->debug_print(ins);
                                timer t{};
                                auto result = check_context(f);
                                double t1   = t.record<milliseconds>();
                                ctx.finish();
                                double t2 = t.record<milliseconds>();
                                std::cout << "Time: " << t1 << "ms, " << t2 << "ms" << std::endl;
                                if(trace_level > 1 and ins->name().front() != '@' and
Shucai Xiao's avatar
Shucai Xiao committed
374
375
                                   ins->name() != "load" and not result.empty())
                                {
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
                                    target tgt  = make_target(this->impl->target_name);
                                    auto buffer = tgt.copy_from(result);
                                    if(trace_level == 2)
                                    {
                                        std::cout << "Output has "
                                                  << to_string_range(classify_argument(buffer))
                                                  << std::endl;
                                        std::cout << "Output: ";
                                        preview_argument(std::cout, buffer);
                                        std::cout << std::endl;
                                    }
                                    else
                                    {
                                        std::cout << "Output: " << buffer << std::endl;
                                    }
Shucai Xiao's avatar
Shucai Xiao committed
391
                                }
392
393
                                return result;
                            }));
Paul's avatar
Paul committed
394
395
396
    }
    else
    {
397
398
399
400
401
402
        return generic_eval(*this,
                            ctx,
                            std::move(params),
                            with_check_context([&](auto&, auto f, auto&& check_context) {
                                return check_context(f);
                            }));
Paul's avatar
Paul committed
403
    }
Paul's avatar
Paul committed
404
405
}

406
const int program_file_version = 5;
407
408
409
410
411
412
413
414

value program::to_value() const
{
    value result;
    result["version"] = program_file_version;
    result["target"]  = this->impl->target_name;
    if(not this->impl->target_name.empty())
        result["context"] = this->impl->ctx.to_value();
Shucai Xiao's avatar
Shucai Xiao committed
415

416
    value module_vals = value::object{};
Shucai Xiao's avatar
Shucai Xiao committed
417
    std::unordered_map<instruction_ref, std::string> names;
418
    for(auto& mod : this->get_modules())
Shucai Xiao's avatar
Shucai Xiao committed
419
    {
Shucai Xiao's avatar
Shucai Xiao committed
420
421
        value mod_val;
        value nodes;
422
423
        mod_val["name"] = mod->name();
        names           = mod->print(
Shucai Xiao's avatar
Shucai Xiao committed
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
            [&](auto ins, auto ins_names) {
                value node;
                node["output"]     = ins_names.at(ins);
                node["name"]       = ins->name();
                node["shape"]      = migraphx::to_value(ins->get_shape());
                node["normalized"] = ins->is_normalized();
                if(ins->name() == "@literal")
                    node["literal"] = migraphx::to_value(ins->get_literal());
                node["operator"] = ins->get_operator().to_value();
                std::vector<std::string> inputs;
                std::transform(ins->inputs().begin(),
                               ins->inputs().end(),
                               std::back_inserter(inputs),
                               [&](auto i) {
                                   assert(contains(ins_names, i));
                                   return ins_names.at(i);
                               });
                node["inputs"]   = inputs;
                auto module_args = ins->module_inputs();
                if(not module_args.empty())
                {
                    std::vector<std::string> module_inputs;
                    std::transform(module_args.begin(),
                                   module_args.end(),
                                   std::back_inserter(module_inputs),
                                   [&](auto mod_ref) { return mod_ref->name(); });
                    node["module_inputs"] = module_inputs;
                }

                nodes.push_back(node);
            },
            names);
        mod_val["nodes"] = nodes;

458
        module_vals[mod->name()] = mod_val;
Shucai Xiao's avatar
Shucai Xiao committed
459
    }
Shucai Xiao's avatar
Shucai Xiao committed
460
461
462

    result["modules"] = module_vals;

463
464
    return result;
}
Shucai Xiao's avatar
Shucai Xiao committed
465

Shucai Xiao's avatar
Shucai Xiao committed
466
467
468
469
470
static void mod_from_val(module_ref mod,
                         const value& v,
                         std::unordered_map<std::string, instruction_ref>& instructions,
                         const std::unordered_map<std::string, module_ref>& map_mods)
{
471
    const auto& module_val = v.at(mod->name());
Shucai Xiao's avatar
Shucai Xiao committed
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
    for(const value& node : module_val.at("nodes"))
    {
        instruction_ref output;
        auto name       = node.at("name").to<std::string>();
        auto fields     = node.at("operator");
        auto normalized = node.at("normalized").to<bool>();

        if(name == "@param")
        {
            output = mod->add_parameter(fields["parameter"].to<std::string>(),
                                        migraphx::from_value<shape>(node.at("shape")));
        }
        else if(name == "@literal")
        {
            output = mod->add_literal(migraphx::from_value<literal>(node.at("literal")));
        }
        else
        {
            auto op = make_op(name, fields);
            std::vector<instruction_ref> inputs;
            std::transform(node.at("inputs").begin(),
                           node.at("inputs").end(),
                           std::back_inserter(inputs),
                           [&](const value& i) {
                               auto i_name = i.to<std::string>();
                               assert(contains(instructions, i_name));
                               return instructions.at(i_name);
                           });

            std::vector<module_ref> module_inputs;
            if(node.contains("module_inputs"))
            {
                std::transform(node.at("module_inputs").begin(),
                               node.at("module_inputs").end(),
                               std::back_inserter(module_inputs),
                               [&](const value& i) { return map_mods.at(i.to<std::string>()); });

                for(auto& smod : module_inputs)
                {
                    mod_from_val(smod, v, instructions, map_mods);
                }
            }

            if(name == "@return")
            {
                output = mod->add_return(inputs);
            }
            else if(module_inputs.empty())
            {
                output = mod->add_instruction(op, inputs);
            }
            else
            {
                output = mod->add_instruction(op, inputs, module_inputs);
            }
        }
        output->set_normalized(normalized);
        instructions[node.at("output").to<std::string>()] = output;
    }
}

533
534
535
536
void program::from_value(const value& v)
{
    auto version = v.at("version").to<int>();
    if(version != program_file_version)
Shucai Xiao's avatar
Shucai Xiao committed
537
538
539
540
    {
        MIGRAPHX_THROW("Warning: Program version mismatch");
    }

541
542
543
544
545
546
547
548
    this->impl->target_name = v.at("target").to<std::string>();
    if(not this->impl->target_name.empty())
    {
        target t        = make_target(this->impl->target_name);
        this->impl->ctx = t.get_context();
        this->impl->ctx.from_value(v.at("context"));
    }

Shucai Xiao's avatar
Shucai Xiao committed
549
550
    auto module_vals = v.at("modules");
    for(const auto& vv : module_vals)
551
    {
552
        const auto& name = vv.get_key();
Shucai Xiao's avatar
Shucai Xiao committed
553
554
        if(name == "main")
            continue;
555
        impl->modules.emplace(name, name);
556
    }
557
    std::unordered_map<std::string, module_ref> map_mods;
Paul's avatar
Paul committed
558
559
560
561
    std::transform(impl->modules.begin(),
                   impl->modules.end(),
                   std::inserter(map_mods, map_mods.end()),
                   [&](auto&& pp) { return std::make_pair(pp.first, &pp.second); });
Shucai Xiao's avatar
Shucai Xiao committed
562
563
564
565
566

    std::unordered_map<std::string, instruction_ref> map_insts;
    auto* mm = get_main_module();
    mod_from_val(mm, module_vals, map_insts, map_mods);

567
568
569
    this->finalize();
}

Paul's avatar
Paul committed
570
571
572
double common_average(const std::vector<double>& v)
{
    std::size_t n = v.size() / 4;
Paul's avatar
Paul committed
573
574
    double total  = std::accumulate(v.begin() + n, v.end() - n, 0.0);
    return total / std::distance(v.begin() + n, v.end() - n);
Paul's avatar
Paul committed
575
576
}

Paul Fultz II's avatar
Paul Fultz II committed
577
578
579
580
581
582
583
584
std::string perf_group(const operation& op)
{
    auto attr = op.attributes();
    if(attr.contains("group"))
        return attr.at("group").to<std::string>();
    return op.name();
}

585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
void program::mark(const parameter_map& params, marker&& m)
{
    auto& ctx = this->impl->ctx;
    // Run once by itself
    eval(params);
    ctx.finish();
    // Start marking
    m.mark_start(*this);
    generic_eval(*this, ctx, params, always([&](auto ins, auto f) {
        argument result;
        m.mark_start(ins);
        result = f();
        m.mark_stop(ins);
        return result;
    }));
    m.mark_stop(*this);
}

603
604
605
606
607
608
609
610
611
static void print_space(std::ostream& os, int n)
{
    for(int i = 0; i < n; ++i)
    {
        os << ' ';
    }
}

using op_flops = std::function<double(const std::vector<shape>& vec_ss)>;
612
auto& get_flops_funcs()
613
614
615
616
{
    static std::unordered_map<std::string, op_flops> op_funcs;
    op_funcs.emplace("gemm", [&](const std::vector<shape>& vec_ss) {
        assert(vec_ss.size() >= 2);
Shucai Xiao's avatar
Shucai Xiao committed
617
618
619
        auto sa     = vec_ss.front();
        auto sb     = vec_ss.at(1);
        auto batch  = 1;
620
        auto lens_a = sa.lens();
Shucai Xiao's avatar
Shucai Xiao committed
621
622
623
624
        batch =
            std::accumulate(lens_a.rbegin() + 2, lens_a.rend(), 1, std::multiplies<std::size_t>{});
        auto m      = lens_a[lens_a.size() - 2];
        auto k      = lens_a.back();
625
626
627
628
629
630
631
        auto lens_b = sb.lens();
        assert(k == lens_b[lens_b.size() - 2]);
        auto n = lens_b.back();

        return 2.0 * m * n * k * batch;
    });

632
633
    op_funcs.emplace("convolution", [&](const std::vector<shape>& vec_ss) {
        assert(vec_ss.size() >= 2);
Shucai Xiao's avatar
Shucai Xiao committed
634
635
636
637
638
639
640
641
642
        auto alens = vec_ss.front().lens();
        auto blens = vec_ss.at(1).lens();
        auto olens = vec_ss.back().lens();

        auto n  = alens.front();
        auto k  = blens.front();
        auto c  = alens.at(1);
        auto y  = blens.at(2);
        auto x  = blens.back();
643
644
645
646
647
648
        auto ho = olens.at(2);
        auto wo = olens.back();

        return 2.0 * n * k * ho * wo * c * y * x;
    });

649
650
651
    return op_funcs;
}

652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
int program::max_ins_length() const
{
    std::unordered_map<instruction_ref, std::string> names;
    int max_ins_len = 0;

    this->print(names, [&](auto ins, auto ins_names) {
        std::stringstream ss;
        instruction::print(ss, ins, ins_names);
        if(max_ins_len < ss.str().length())
        {
            max_ins_len = ss.str().length();
        }

        // skip return instruction
        if(ins->name() == "@return")
            return;
    });

    return max_ins_len;
}

static auto& get_titles()
{
Shucai Xiao's avatar
Shucai Xiao committed
675
676
677
    static std::vector<std::string> titles = {"Instructions",
                                              "Time(ms)    \t",
                                              "Percentage  \t",
678
                                              "(b, m, n, k)                    \t",
Shucai Xiao's avatar
Shucai Xiao committed
679
680
                                              "Flops(TFlops/s)  \t",
                                              "Throughput(GB/s)"};
681
682
683
684
685
686

    return titles;
}

static void print_title(std::ostream& os, std::size_t max_ins_len)
{
Shucai Xiao's avatar
Shucai Xiao committed
687
688
    auto titles      = get_titles();
    std::string& str = titles.front();
689
690
    str.append(max_ins_len + 1 - str.length(), ' ');
    str.append(1, '\t');
Shucai Xiao's avatar
Shucai Xiao committed
691
    for(auto& s : titles)
692
693
694
695
696
697
    {
        os << s;
    }
    os << std::endl;
}

Shucai Xiao's avatar
Shucai Xiao committed
698
699
700
701
702
static void print_ins_perf(std::ostream& os,
                           const std::vector<std::string>& titles,
                           instruction_ref ins,
                           double t,
                           double total_t)
703
{
Shucai Xiao's avatar
Shucai Xiao committed
704
705
706
    auto& time_str  = titles.at(1);
    auto& time_per  = titles.at(2);
    auto& size_str  = titles.at(3);
707
    auto& flops_str = titles.at(4);
708
    auto& thrpt_str = titles.at(5);
709
710

    auto& flops_funcs = get_flops_funcs();
Shucai Xiao's avatar
Shucai Xiao committed
711
    std::string tms   = std::to_string(t);
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
    tms.append(time_str.length() - tms.length(), ' ');
    tms.append(1, '\t');
    double percent   = 100.0 * t / total_t;
    std::string pers = std::to_string(percent);
    auto loc         = pers.find('.');
    if(loc != std::string::npos)
    {
        pers.erase(pers.begin() + loc + 6, pers.end());
    }
    pers.append(time_per.length() - pers.length(), ' ');
    pers.append(1, '\t');

    // calculate flops
    std::string szs;
    std::string flps;
    std::string op_name = ins->name();
    auto nloc           = op_name.find("::");
    op_name.erase(op_name.begin(), op_name.begin() + nloc + 2);
Shucai Xiao's avatar
Shucai Xiao committed
730
    auto inss = to_shapes(ins->inputs());
731
732
733
734
735
    if(contains(flops_funcs, op_name))
    {
        // print size
        auto alens = inss.front().lens();
        auto blens = inss.at(1).lens();
Shucai Xiao's avatar
Shucai Xiao committed
736
737
        auto mb =
            std::accumulate(alens.rbegin() + 2, alens.rend(), 1, std::multiplies<std::size_t>{});
738
739
740
741
742
743
744
745
746
747
748
749
750
        int mm = alens[alens.size() - 2];
        int mk = alens.back();
        int mn = blens.back();

        szs = "{";
        szs.append(std::to_string(mb));
        szs.append(1, ',');
        szs.append(std::to_string(mm));
        szs.append(1, ',');
        szs.append(std::to_string(mk));
        szs.append(1, ',');
        szs.append(std::to_string(mn));
        szs.append("}");
751
        szs.append(size_str.length() - szs.length(), ' ');
Shucai Xiao's avatar
Shucai Xiao committed
752

753
754
755
756
757
758
759
760
761
762
763
764
765
766
        auto op_flop_func = flops_funcs.at(op_name);
        double flops      = op_flop_func(inss);
        flops /= t;
        // convert to GFlops
        flops /= 1.0e9;
        flps      = std::to_string(flops);
        auto floc = flps.find('.');
        if(floc != std::string::npos)
        {
            flps.erase(flps.begin() + floc + 4, flps.end());
        }
    }
    szs.append(size_str.length() - szs.length(), ' ');
    flps.append(flops_str.length() - flps.length(), ' ');
767
768
769
770

    // print throughput for pointwise instruction
    auto alias_num = ins->get_operator().output_alias({});
    std::string thrpt;
Shucai Xiao's avatar
Shucai Xiao committed
771
    if(alias_num != 0)
772
    {
Shucai Xiao's avatar
Shucai Xiao committed
773
774
775
776
        auto size =
            std::accumulate(inss.begin(), inss.end(), std::size_t{0}, [&](auto init, auto s) {
                return init + s.bytes();
            });
777

Shucai Xiao's avatar
Shucai Xiao committed
778
        double throughput = size / t;
779
780
        // convert to GB/s
        throughput /= 1.0e9;
Shucai Xiao's avatar
Shucai Xiao committed
781
        thrpt     = std::to_string(throughput);
782
783
784
785
786
787
788
789
790
        auto floc = flps.find('.');
        if(floc != std::string::npos)
        {
            thrpt.erase(thrpt.begin() + floc + 4, thrpt.end());
        }
    }
    thrpt.append(thrpt_str.length() - thrpt.length(), ' ');

    os << tms << pers << szs << flps << thrpt << std::endl;
791
792
}

793
794
795
796
void program::perf_report(std::ostream& os,
                          std::size_t n,
                          parameter_map params,
                          std::size_t batch) const
Paul's avatar
Paul committed
797
{
798
    auto& ctx = this->impl->ctx;
Paul's avatar
Paul committed
799
800
    // Run once by itself
    eval(params);
Paul's avatar
Paul committed
801
    ctx.finish();
Paul's avatar
Paul committed
802
    // Run and time entire program
Paul's avatar
Paul committed
803
804
    std::vector<double> total_vec;
    total_vec.reserve(n);
Paul's avatar
Paul committed
805
    for(std::size_t i = 0; i < n; i++)
Paul's avatar
Paul committed
806
    {
Paul's avatar
Paul committed
807
808
809
810
        total_vec.push_back(time<milliseconds>([&] {
            eval(params);
            ctx.finish();
        }));
Paul's avatar
Paul committed
811
    }
Paul's avatar
Paul committed
812
813
    std::sort(total_vec.begin(), total_vec.end());
    std::unordered_map<instruction_ref, std::vector<double>> ins_vec;
Paul's avatar
Paul committed
814
    // Fill the map
815
    generic_eval(*this, ctx, params, always([&](auto ins, auto) {
Paul's avatar
Paul committed
816
        ins_vec[ins].reserve(n);
817
        return argument{ins->get_shape(), nullptr};
818
    }));
819

Paul's avatar
Paul committed
820
    // Run and time each instruction
Paul's avatar
Paul committed
821
    for(std::size_t i = 0; i < n; i++)
Paul's avatar
Paul committed
822
    {
823
        generic_eval(*this, ctx, params, always([&](auto ins, auto f) {
824
            argument result;
Paul's avatar
Paul committed
825
826
827
828
            ins_vec[ins].push_back(time<milliseconds>([&] {
                result = f();
                ctx.finish();
            }));
829
            return result;
830
        }));
Paul's avatar
Paul committed
831
    }
Paul's avatar
Paul committed
832
833
    for(auto&& p : ins_vec)
        std::sort(p.second.begin(), p.second.end());
Paul's avatar
Paul committed
834
    // Run and time implicit overhead
Paul's avatar
Paul committed
835
836
    std::vector<double> overhead_vec;
    overhead_vec.reserve(n);
Paul's avatar
Paul committed
837
    for(std::size_t i = 0; i < n; i++)
Paul's avatar
Paul committed
838
    {
Paul's avatar
Paul committed
839
        overhead_vec.push_back(time<milliseconds>([&] { dry_run(params); }));
Paul's avatar
Paul committed
840
841
    }

Paul's avatar
Paul committed
842
    double total_time             = common_average(total_vec);
Paul's avatar
Paul committed
843
    double rate                   = 1000.0 / total_time;
Paul's avatar
Paul committed
844
    double overhead_time          = common_average(overhead_vec);
Paul's avatar
Paul committed
845
    double overhead_percent       = overhead_time * 100.0 / total_time;
Paul's avatar
Paul committed
846
    double total_instruction_time = 0.0;
Paul's avatar
Paul committed
847
    std::unordered_map<std::string, double> op_times;
Paul's avatar
Paul committed
848
    for(auto&& p : ins_vec)
Paul's avatar
Paul committed
849
850
    {
        double avg = common_average(p.second);
Paul Fultz II's avatar
Paul Fultz II committed
851
        op_times[perf_group(p.first->get_operator())] += avg;
Paul's avatar
Paul committed
852
853
        total_instruction_time += avg;
    }
Paul's avatar
Paul committed
854
855
    double calculate_overhead_time    = total_time - total_instruction_time;
    double calculate_overhead_percent = calculate_overhead_time * 100.0 / total_time;
Paul's avatar
Paul committed
856

Shucai Xiao's avatar
Shucai Xiao committed
857
    std::unordered_map<instruction_ref, std::string> names;
858
859

    // count max instruction length
Shucai Xiao's avatar
Shucai Xiao committed
860
    auto titles           = get_titles();
861
862
    const int max_ins_len = max_ins_length();
    print_title(os, max_ins_len);
863

Shucai Xiao's avatar
Shucai Xiao committed
864
    this->print(names, [&](auto ins, auto ins_names) {
865
866
867
        std::stringstream ss;
        instruction::print(ss, ins, ins_names);
        os << ss.str();
868
869
870
871
872

        // skip return instruction
        if(ins->name() == "@return")
            return;

873
874
        // insert space to align
        print_space(os, max_ins_len - ss.str().length());
Shucai Xiao's avatar
Shucai Xiao committed
875
        os << "\t";
Shucai Xiao's avatar
Shucai Xiao committed
876
        double avg = common_average(ins_vec[ins]);
877
        print_ins_perf(os, titles, ins, avg, total_instruction_time);
Paul's avatar
Paul committed
878
    });
Paul's avatar
Paul committed
879
880
881

    os << std::endl;
    os << "Summary:" << std::endl;
882
883
884
885
886
887
888
    std::vector<std::pair<double, std::string>> op_times_sorted;
    std::transform(op_times.begin(),
                   op_times.end(),
                   std::back_inserter(op_times_sorted),
                   [](auto p) { return std::make_pair(p.second, p.first); });
    std::sort(op_times_sorted.begin(), op_times_sorted.end(), std::greater<>{});
    for(auto&& p : op_times_sorted)
Paul's avatar
Paul committed
889
    {
890
891
        auto&& name    = p.second;
        double avg     = p.first;
Paul's avatar
Paul committed
892
893
894
895
896
        double percent = std::ceil(100.0 * avg / total_instruction_time);
        os << name << ": " << avg << "ms, " << percent << "%" << std::endl;
    }

    os << std::endl;
Paul's avatar
Paul committed
897

898
899
    os << "Batch size: " << batch << std::endl;
    os << "Rate: " << rate * batch << "/sec" << std::endl;
Paul's avatar
Paul committed
900
901
    os << "Total time: " << total_time << "ms" << std::endl;
    os << "Total instructions time: " << total_instruction_time << "ms" << std::endl;
Paul's avatar
Paul committed
902
903
904
905
    os << "Overhead time: " << overhead_time << "ms"
       << ", " << calculate_overhead_time << "ms" << std::endl;
    os << "Overhead: " << std::round(overhead_percent) << "%"
       << ", " << std::round(calculate_overhead_percent) << "%" << std::endl;
Paul's avatar
Paul committed
906
907
}

Paul's avatar
Paul committed
908
909
void program::debug_print() const { std::cout << *this << std::endl; }
void program::debug_print(instruction_ref ins) const
Paul's avatar
Paul committed
910
{
Shucai Xiao's avatar
Shucai Xiao committed
911
    std::unordered_map<instruction_ref, std::string> names;
912
    if(std::any_of(this->impl->modules.begin(), this->impl->modules.end(), [&](const auto& pp) {
913
           return is_end(pp.second.end(), ins);
Shucai Xiao's avatar
Shucai Xiao committed
914
       }))
Paul's avatar
Paul committed
915
916
917
918
    {
        std::cout << "End instruction" << std::endl;
        return;
    }
919
920
    else if(std::none_of(this->impl->modules.begin(),
                         this->impl->modules.end(),
921
                         [&](const auto& pp) { return pp.second.has_instruction(ins); }))
Paul's avatar
Paul committed
922
923
924
925
    {
        std::cout << "Instruction not part of program" << std::endl;
        return;
    }
Shucai Xiao's avatar
Shucai Xiao committed
926

Paul's avatar
Paul committed
927
    std::stringstream ss;
Shucai Xiao's avatar
Shucai Xiao committed
928
    this->print(names, [&](auto x, auto ins_names) {
Paul's avatar
Paul committed
929
        if(x == ins)
Paul's avatar
Paul committed
930
        {
Shucai Xiao's avatar
Shucai Xiao committed
931
            instruction::print(std::cout, x, ins_names);
Paul's avatar
Paul committed
932
933
934
935
936
            std::cout << std::endl;
        }
    });
}

Shucai Xiao's avatar
Shucai Xiao committed
937
938
939
940
void program::print(
    std::unordered_map<instruction_ref, std::string>& names,
    const std::function<void(instruction_ref, std::unordered_map<instruction_ref, std::string>)>&
        print_func) const
941
{
942
    for(const auto& pp : this->impl->modules)
943
    {
944
        names = pp.second.print(print_func, names);
945
946
947
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
948
void program::print_graph(std::ostream& os, bool brief) const
949
{
Shucai Xiao's avatar
Shucai Xiao committed
950
951
    const auto* mm = this->get_main_module();
    mm->print_graph(os, brief);
952
953
954
955
}

void program::print_cpp(std::ostream& os) const
{
Shucai Xiao's avatar
Shucai Xiao committed
956
957
958
959
960
961
962
963
    auto vec_modules = this->get_modules();
    std::unordered_map<instruction_ref, std::string> names;
    for(auto& mod : vec_modules)
    {
        os << "module: \"" << mod->name() << "\"" << std::endl;
        names = mod->print_cpp(os, names);
        os << std::endl;
    }
964
965
}

Paul's avatar
Paul committed
966
967
void program::dry_run(std::unordered_map<std::string, argument> params) const
{
Paul's avatar
Paul committed
968
    auto& ctx = this->impl->ctx;
969
970
971
    generic_eval(*this, ctx, std::move(params), always([](auto ins, auto&&...) {
        return argument{ins->get_shape(), nullptr};
    }));
Paul's avatar
Paul committed
972
973
}

Shucai Xiao's avatar
Shucai Xiao committed
974
void program::annotate(std::ostream& os, const std::function<void(instruction_ref)>& a) const
Paul's avatar
Paul committed
975
{
976
    for(auto& pp : this->impl->modules)
Shucai Xiao's avatar
Shucai Xiao committed
977
    {
978
979
        std::cout << pp.first << ":" << std::endl;
        pp.second.annotate(os, a);
Shucai Xiao's avatar
Shucai Xiao committed
980
    }
Paul's avatar
Paul committed
981
982
}

Paul's avatar
Paul committed
983
const module* program::get_module(const std::string& name) const { return &impl->modules.at(name); }
Shucai Xiao's avatar
Shucai Xiao committed
984
985
986

module* program::create_module(const std::string& name)
{
987
    assert(not contains(impl->modules, name));
988
989
    auto r = impl->modules.emplace(name, name);
    return &(r.first->second);
Shucai Xiao's avatar
Shucai Xiao committed
990
991
}

Paul's avatar
Paul committed
992
module* program::get_module(const std::string& name) { return &impl->modules.at(name); }
Shucai Xiao's avatar
Shucai Xiao committed
993
994
995
996
997

module* program::get_main_module() { return get_module("main"); }

const module* program::get_main_module() const { return get_module("main"); }

Paul's avatar
Paul committed
998
template <class T>
999
std::vector<T*> generic_get_modules(T* mm)
Shucai Xiao's avatar
Shucai Xiao committed
1000
{
1001
    std::vector<T*> vec_modules;
Shucai Xiao's avatar
Shucai Xiao committed
1002
1003
1004
1005
1006
    vec_modules.push_back(mm);
    auto sub_modules = mm->get_sub_modules();
    vec_modules.insert(vec_modules.end(), sub_modules.begin(), sub_modules.end());
    return vec_modules;
}
Shucai Xiao's avatar
Shucai Xiao committed
1007

Paul's avatar
Paul committed
1008
template <class Map, class T, class OutputIterator>
1009
void generic_get_unused_modules(Map& m, const std::vector<T*>& mods, OutputIterator out)
Shucai Xiao's avatar
Shucai Xiao committed
1010
{
1011
1012
1013
1014
    std::unordered_set<std::string> used;
    std::transform(mods.begin(), mods.end(), std::inserter(used, used.end()), [](auto&& mod) {
        return mod->name();
    });
Paul's avatar
Paul committed
1015
1016
1017
1018
1019
    transform_if(m.begin(),
                 m.end(),
                 out,
                 [&](auto&& pp) { return not contains(used, pp.first); },
                 [](auto&& pp) { return &pp.second; });
1020
}
Shucai Xiao's avatar
Shucai Xiao committed
1021

1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
std::vector<const module*> program::get_modules() const
{
    auto result = generic_get_modules(this->get_main_module());
    generic_get_unused_modules(impl->modules, result, std::back_inserter(result));
    return result;
}

std::vector<module*> program::get_modules()
{
    auto result = generic_get_modules(this->get_main_module());
    generic_get_unused_modules(impl->modules, result, std::back_inserter(result));
    return result;
Shucai Xiao's avatar
Shucai Xiao committed
1034
1035
}

1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
template <class Map, class T>
bool is_unused_module(Map& m, const std::vector<T*>& mods, const std::string& name)
{
    bool is_unused = false;
    generic_get_unused_modules(m, mods, make_function_output_iterator([&](auto* mod) {
                                   if(mod->name() == name)
                                       is_unused = true;
                               }));
    return is_unused;
}

template <class Map>
bool references_instruction(Map& m, const instruction& ins, const std::string& name)
{
    return std::any_of(m.begin(), m.end(), [&](auto&& p) {
        if(p.first == name)
            return false;
        return std::any_of(p.second.begin(), p.second.end(), [&](auto&& i) {
            return std::any_of(i.inputs().begin(), i.inputs().end(), [&](auto&& j) {
                return std::addressof(*j) == std::addressof(ins);
            });
        });
    });
}

void program::remove_module(const std::string& name)
{
    // cppcheck-suppress assertWithSideEffect
    assert(is_unused_module(impl->modules, generic_get_modules(this->get_main_module()), name) &&
           "Module used in program");
    assert(std::none_of(
               impl->modules.at(name).begin(),
               impl->modules.at(name).end(),
               [&](auto&& ins) { return references_instruction(impl->modules, ins, name); }) &&
           "Instruction referenced in another module");
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086

    // if an instruction has an input out side of the current module, need to remove
    // the instruction from its input's outputs
    auto& mod = impl->modules.at(name);
    for(auto ins : iterator_for(mod))
    {
        auto inputs = ins->inputs();
        for(auto in : inputs)
        {
            if(not mod.has_instruction(in))
            {
                in->remove_output(ins);
            }
        }
    }

1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
    impl->modules.erase(name);
}

void program::remove_unused_modules()
{
    std::vector<module*> unused;
    generic_get_unused_modules(
        impl->modules, generic_get_modules(this->get_main_module()), std::back_inserter(unused));
    for(auto* m : unused)
        this->remove_module(m->name());
}

1099
1100
program& program::sort()
{
1101
    for(auto& pp : this->impl->modules)
Shucai Xiao's avatar
Shucai Xiao committed
1102
    {
1103
        pp.second.sort();
Shucai Xiao's avatar
Shucai Xiao committed
1104
1105
    }

1106
1107
1108
    return *this;
}

Paul's avatar
Paul committed
1109
bool operator==(const program& x, const program& y) { return to_string(x) == to_string(y); }
Paul's avatar
Paul committed
1110

Paul's avatar
Paul committed
1111
std::ostream& operator<<(std::ostream& os, const program& p)
Paul's avatar
Paul committed
1112
{
Shucai Xiao's avatar
Shucai Xiao committed
1113
1114
1115
    auto vec_modules = p.get_modules();
    std::unordered_map<instruction_ref, std::string> names;
    for(auto& mod : vec_modules)
Shucai Xiao's avatar
Shucai Xiao committed
1116
    {
Shucai Xiao's avatar
Shucai Xiao committed
1117
1118
1119
1120
1121
1122
1123
        os << "module: \"" << mod->name() << "\"" << std::endl;
        names = mod->print(
            [&](auto ins, auto ins_names) {
                instruction::print(os, ins, ins_names);
                os << std::endl;
            },
            names);
1124
        os << std::endl;
Shucai Xiao's avatar
Shucai Xiao committed
1125
1126
    }

Paul's avatar
Paul committed
1127
    return os;
Paul's avatar
Paul committed
1128
}
Paul's avatar
Paul committed
1129

Paul's avatar
Paul committed
1130
} // namespace MIGRAPHX_INLINE_NS
Paul's avatar
Paul committed
1131
} // namespace migraphx