Dimension support for reduce operator (#1147)

* cache reference nodes

* evaluation based on dim args

* format

* add dimensions for reduce operator

* add dimensions for reduce operator

* add dimensions for reduce operator docs

* add dimensions for reduce operator.

* refactor switch cases

* Update CHANGELOG.md

* updated doc with data example

* updated doc with data example for reduce operation.

* added fallthrough in switch case sum.

* changelog.md

* format

* fix bug in constuct_test_data()
This commit is contained in:
venkat1361
2024-11-11 07:07:28 -06:00
committed by GitHub
parent cc4811d27d
commit 472907a576
4 changed files with 294 additions and 64 deletions
@@ -60,21 +60,17 @@ get_reduce_op_type_from_string(const std::string& op)
return type;
}
std::vector<rocprofiler_record_counter_t>*
perform_reduction(ReduceOperation reduce_op, std::vector<rocprofiler_record_counter_t>* input_array)
void
perform_reduction_to_single_instance(ReduceOperation reduce_op,
std::vector<rocprofiler_record_counter_t>* input_array,
rocprofiler_record_counter_t* result)
{
rocprofiler_record_counter_t result{.id = 0,
.counter_value = 0,
.dispatch_id = 0,
.user_data = {.value = 0},
.agent_id = {.handle = 0}};
if(input_array->empty()) return input_array;
switch(reduce_op)
{
case REDUCE_NONE: break;
case REDUCE_MIN:
{
result =
*result =
*std::min_element(input_array->begin(), input_array->end(), [](auto& a, auto& b) {
return a.counter_value < b.counter_value;
});
@@ -82,55 +78,92 @@ perform_reduction(ReduceOperation reduce_op, std::vector<rocprofiler_record_coun
}
case REDUCE_MAX:
{
result =
*result =
*std::max_element(input_array->begin(), input_array->end(), [](auto& a, auto& b) {
return a.counter_value < b.counter_value;
});
break;
}
case REDUCE_SUM:
{
result = std::accumulate(input_array->begin(),
input_array->end(),
rocprofiler_record_counter_t{.id = 0,
.counter_value = 0,
.dispatch_id = 0,
.user_data = {.value = 0},
.agent_id = {.handle = 0}},
[](auto& a, auto& b) {
return rocprofiler_record_counter_t{
.id = a.id,
.counter_value = a.counter_value + b.counter_value,
.dispatch_id = a.dispatch_id,
.user_data = {.value = 0},
.agent_id = {.handle = 0}};
});
break;
}
case REDUCE_SUM: [[fallthrough]];
case REDUCE_AVG:
{
result = std::accumulate(input_array->begin(),
input_array->end(),
rocprofiler_record_counter_t{.id = 0,
.counter_value = 0,
.dispatch_id = 0,
.user_data = {.value = 0},
.agent_id = {.handle = 0}},
[](auto& a, auto& b) {
return rocprofiler_record_counter_t{
.id = a.id,
.counter_value = a.counter_value + b.counter_value,
.dispatch_id = a.dispatch_id,
.user_data = {.value = 0},
.agent_id = {.handle = 0}};
});
result.counter_value /= input_array->size();
*result = std::accumulate(input_array->begin(),
input_array->end(),
rocprofiler_record_counter_t{.id = 0,
.counter_value = 0,
.dispatch_id = 0,
.user_data = {.value = 0},
.agent_id = {.handle = 0}},
[](auto& a, auto& b) {
return rocprofiler_record_counter_t{
.id = a.id,
.counter_value = a.counter_value + b.counter_value,
.dispatch_id = a.dispatch_id,
.user_data = {.value = 0},
.agent_id = {.handle = 0}};
});
if(reduce_op == REDUCE_AVG)
{
(*result).counter_value /= input_array->size();
}
break;
}
}
}
std::vector<rocprofiler_record_counter_t>*
perform_reduction(
ReduceOperation reduce_op,
std::vector<rocprofiler_record_counter_t>* input_array,
const std::unordered_set<rocprofiler_profile_counter_instance_types>& _reduce_dimension_set)
{
if(input_array->empty()) return input_array;
if(_reduce_dimension_set.empty() ||
_reduce_dimension_set.size() == ROCPROFILER_DIMENSION_LAST - 1)
{
rocprofiler_record_counter_t result{.id = 0,
.counter_value = 0,
.dispatch_id = 0,
.user_data = {.value = 0},
.agent_id = {.handle = 0}};
perform_reduction_to_single_instance(reduce_op, input_array, &result);
input_array->clear();
input_array->push_back(result);
set_dim_in_rec(input_array->begin()->id, ROCPROFILER_DIMENSION_NONE, 0);
return input_array;
}
std::unordered_map<int64_t, std::vector<rocprofiler_record_counter_t>> rec_groups;
size_t bit_length = DIM_BIT_LENGTH / ROCPROFILER_DIMENSION_LAST;
for(auto& rec : *input_array)
{
for(auto dim : _reduce_dimension_set)
{
int64_t mask_dim = (MAX_64 >> (64 - bit_length)) << ((dim - 1) * bit_length);
rec.id = rec.id | mask_dim;
rec.id = rec.id ^ mask_dim;
}
rec_groups[rec.id].push_back(rec);
}
input_array->clear();
input_array->push_back(result);
set_dim_in_rec(input_array->begin()->id, ROCPROFILER_DIMENSION_NONE, 0);
for(auto& rec_pair : rec_groups)
{
rocprofiler_record_counter_t result{.id = 0,
.counter_value = 0,
.dispatch_id = 0,
.user_data = {.value = 0},
.agent_id = {.handle = 0}};
perform_reduction_to_single_instance(reduce_op, &rec_pair.second, &result);
input_array->push_back(result);
}
if(input_array->size() == 1)
{
set_dim_in_rec(input_array->begin()->id, ROCPROFILER_DIMENSION_NONE, 0);
}
return input_array;
}
@@ -375,11 +408,30 @@ EvaluateAST::set_dimensions()
break;
case REDUCE_NODE:
{
// Reduction down to a single instance supported for now.
_dimension_types =
std::vector<MetricDimension>{{dimension_map().at(ROCPROFILER_DIMENSION_INSTANCE),
1,
ROCPROFILER_DIMENSION_INSTANCE}};
if(_reduce_dimension_set.empty())
{
_dimension_types = std::vector<MetricDimension>{
{dimension_map().at(ROCPROFILER_DIMENSION_INSTANCE),
1,
ROCPROFILER_DIMENSION_INSTANCE}};
}
else
{
_dimension_types = std::vector<MetricDimension>{
{dimension_map().at(ROCPROFILER_DIMENSION_INSTANCE),
1,
ROCPROFILER_DIMENSION_INSTANCE}};
auto first = _children[0].set_dimensions();
first.erase(std::remove_if(first.begin(),
first.end(),
[&](const MetricDimension& dim) {
return _reduce_dimension_set.find(dim.type()) !=
_reduce_dimension_set.end();
}),
first.end());
if(!first.empty()) _dimension_types = first;
}
}
break;
case SELECT_NODE:
@@ -678,10 +730,6 @@ EvaluateAST::evaluate(
if(r1->size() < r2->size()) swap(r1, r2);
cache.emplace_back(std::make_unique<std::vector<rocprofiler_record_counter_t>>());
*cache.back() = *r1;
r1 = cache.back().get();
CHECK(!r1->empty() && !r2->empty());
if(r2->size() == 1)
@@ -758,6 +806,9 @@ EvaluateAST::evaluate(
throw std::runtime_error(
fmt::format("Unable to lookup results for metric {}", _metric.name()));
cache.emplace_back(std::make_unique<std::vector<rocprofiler_record_counter_t>>());
*cache.back() = *result;
result = cache.back().get();
return result;
}
break;
@@ -767,7 +818,7 @@ EvaluateAST::evaluate(
if(_reduce_op == REDUCE_NONE)
throw std::runtime_error(fmt::format("Invalid Second argument to reduce(): {}",
static_cast<int>(_reduce_op)));
return perform_reduction(_reduce_op, result);
return perform_reduction(_reduce_op, result, _reduce_dimension_set);
}
case SELECT_NODE:
{
@@ -33,7 +33,9 @@
#include "lib/rocprofiler-sdk/agent.hpp"
#include "lib/rocprofiler-sdk/counters/evaluate_ast.hpp"
#include "lib/rocprofiler-sdk/counters/id_decode.hpp"
#include "lib/rocprofiler-sdk/counters/metrics.hpp"
#include "lib/rocprofiler-sdk/counters/parser/reader.hpp"
#include "rocprofiler-sdk/fwd.h"
namespace
{
@@ -1366,3 +1368,141 @@ TEST(evatuate_ast, evaluate_select)
}
}
}
TEST(evaluate_ast, counter_reduction_dimension)
{
using namespace rocprofiler::counters;
size_t bit_length = DIM_BIT_LENGTH / ROCPROFILER_DIMENSION_LAST;
auto get_base_rec_id = [](uint64_t counter_id) {
rocprofiler_counter_instance_id_t base_id = 0;
set_counter_in_rec(base_id, {.handle = counter_id});
return base_id;
};
auto max_dim = [&](auto&& a) -> auto
{
std::unordered_map<int64_t, rocprofiler_record_counter_t> groups_dim;
std::vector<rocprofiler_record_counter_t> result;
for(auto rec : a)
{
int64_t mask_dim = (MAX_64 >> (64 - bit_length)) << (bit_length * 0);
rec.id = rec.id | mask_dim;
rec.id = rec.id ^ mask_dim;
if(groups_dim.find(rec.id) == groups_dim.end())
{
groups_dim[rec.id] = rec;
}
else
{
groups_dim[rec.id].counter_value =
std::max(groups_dim[rec.id].counter_value, rec.counter_value);
}
}
for(auto& rec_pair : groups_dim)
{
result.push_back(rec_pair.second);
}
return result;
};
auto sum_dim = [&](auto&& a) -> auto
{
std::vector<rocprofiler_record_counter_t> result;
double counter_value = 0;
result.push_back(a[0]);
set_dim_in_rec(result.begin()->id, ROCPROFILER_DIMENSION_NONE, 0);
for(auto& rec : a)
{
counter_value += rec.counter_value;
}
result.begin()->counter_value = counter_value;
return result;
};
std::unordered_map<std::string, Metric> metrics = {
{"VOORHEES", Metric("gfx9", "VOORHEES", "a", "a", "a", "", "", 0)},
{"KRUEGER", Metric("gfx9", "KRUEGER", "a", "a", "a", "", "", 1)},
{"max_BATES",
Metric("gfx9",
"max_BATES",
"C",
"C",
"C",
"reduce(VOORHEES+KRUEGER,max, [DIMENSION_XCC])",
"",
2)},
{"sum_BATES",
Metric("gfx9",
"sum_BATES",
"C",
"C",
"C",
"reduce(VOORHEES+KRUEGER,sum, [DIMENSION_XCC, DIMENSION_AID])",
"",
3)}};
std::unordered_map<std::string, std::vector<rocprofiler_record_counter_t>> base_counter_data = {
{"VOORHEES",
construct_test_data_dim(
get_base_rec_id(0), {ROCPROFILER_DIMENSION_XCC, ROCPROFILER_DIMENSION_AID}, 8)},
{"KRUEGER",
construct_test_data_dim(
get_base_rec_id(1), {ROCPROFILER_DIMENSION_XCC, ROCPROFILER_DIMENSION_AID}, 8)},
};
std::unordered_map<std::string, std::unordered_map<std::string, EvaluateAST>> asts;
for(const auto& [val, metric] : metrics)
{
RawAST* ast = nullptr;
auto buf = yy_scan_string(metric.expression().empty() ? metric.name().c_str()
: metric.expression().c_str());
yyparse(&ast);
ASSERT_TRUE(ast) << metric.expression() << " " << metric.name();
asts.emplace("gfx9", std::unordered_map<std::string, EvaluateAST>{})
.first->second.emplace(val,
EvaluateAST({.handle = metric.id()}, metrics, *ast, "gfx9"));
yy_delete_buffer(buf);
delete ast;
}
std::vector<std::tuple<std::string, std::vector<rocprofiler_record_counter_t>, int64_t>>
derived_counters = {
{"max_BATES",
max_dim(plus_vec(base_counter_data["VOORHEES"], base_counter_data["KRUEGER"])),
2},
{"sum_BATES",
sum_dim(plus_vec(base_counter_data["VOORHEES"], base_counter_data["KRUEGER"])),
2},
};
std::unordered_map<uint64_t, std::vector<rocprofiler_record_counter_t>> base_counter_decode;
for(const auto& [name, base_counter_v] : base_counter_data)
{
base_counter_decode[metrics[name].id()] = base_counter_v;
}
for(auto& [name, expected, eval_count] : derived_counters)
{
ROCP_INFO << name;
auto eval_counters =
rocprofiler::counters::get_required_hardware_counters(asts, "gfx9", metrics[name]);
ASSERT_TRUE(eval_counters);
ASSERT_EQ(eval_counters->size(), eval_count);
std::vector<std::unique_ptr<std::vector<rocprofiler_record_counter_t>>> cache;
asts.at("gfx9").at(name).expand_derived(asts.at("gfx9"));
auto ret = asts.at("gfx9").at(name).evaluate(base_counter_decode, cache);
EXPECT_EQ(ret->size(), expected.size());
int pos = 0;
asts.at("gfx9").at(name).set_out_id(*ret);
for(const auto& v : *ret)
{
set_counter_in_rec(expected[pos].id, {.handle = metrics[name].id()});
EXPECT_EQ(v.id, expected[pos].id);
EXPECT_FLOAT_EQ(v.counter_value, expected[pos].counter_value);
pos++;
}
}
}