20588702450

Committed 29 Dec 2025 11:48PM UTC coverage: 39.581%. Remained the same

Build # 20588702450

Build Type

push

github

Committed by

web-flow

Commit Message

Merge pull request #412 from daisytuner/mean-std-nodes

adds mean/std library nodes

Run Details

14647 of 48066 branches covered (30.47%)

Branch coverage included in aggregate %.

225 of 622 new or added lines in 14 files covered. (36.17%)

17 existing lines in 2 files now uncovered.

12489 of 20493 relevant lines covered (60.94%)

87.19 hits per line

Source File
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0.0

/src/data_flow/library_nodes/math/tensor/reduce_ops/max_node.cpp

#include "sdfg/data_flow/library_nodes/math/tensor/reduce_ops/max_node.h"

#include "sdfg/builder/structured_sdfg_builder.h"
#include "sdfg/data_flow/library_nodes/math/cmath/cmath_node.h"

namespace sdfg {
namespace math {
namespace tensor {

MaxNode::MaxNode(
    size_t element_id,
    const DebugInfo& debug_info,
    const graph::Vertex vertex,
    data_flow::DataFlowGraph& parent,
    const std::vector<symbolic::Expression>& shape,
    const std::vector<int64_t>& axes,
    bool keepdims
)
    : ReduceNode(element_id, debug_info, vertex, parent, LibraryNodeType_Max, shape, axes, keepdims) {}

bool MaxNode::expand_reduction(
    builder::StructuredSDFGBuilder& builder,
    analysis::AnalysisManager& analysis_manager,
    structured_control_flow::Sequence& body,
    const std::string& input_name,
    const std::string& output_name,
    const types::IType& input_type,
    const types::IType& output_type,
    const data_flow::Subset& input_subset,
    const data_flow::Subset& output_subset
) {
    auto& block = builder.add_block(body, {}, this->debug_info());

    auto& libnode = builder.add_library_node<math::cmath::CMathNode>(block, this->debug_info(), "fmax", 2);

    auto& in_access = builder.add_access(block, input_name, this->debug_info());
    auto& out_read_access = builder.add_access(block, output_name, this->debug_info());
    auto& out_write_access = builder.add_access(block, output_name, this->debug_info());

    builder.add_computational_memlet(block, in_access, libnode, "_in1", input_subset, input_type, this->debug_info());
    builder
        .add_computational_memlet(block, out_read_access, libnode, "_in2", output_subset, output_type, this->debug_info());
    builder.add_computational_memlet(
        block, libnode, "_out", out_write_access, output_subset, output_type, this->debug_info()
    );

    return true;
}

std::string MaxNode::identity() const { return "-INFINITY"; }

std::unique_ptr<data_flow::DataFlowNode> MaxNode::
    clone(size_t element_id, const graph::Vertex vertex, data_flow::DataFlowGraph& parent) const {
    return std::unique_ptr<data_flow::DataFlowNode>(
        new MaxNode(element_id, this->debug_info(), vertex, parent, this->shape_, this->axes_, this->keepdims_)
    );
}

} // namespace tensor
} // namespace math
} // namespace sdfg

1	#include "sdfg/data_flow/library_nodes/math/tensor/reduce_ops/max_node.h"
2
3	#include "sdfg/builder/structured_sdfg_builder.h"
4	#include "sdfg/data_flow/library_nodes/math/cmath/cmath_node.h"
5
6	namespace sdfg {
7	namespace math {
8	namespace tensor {
9
NEW 10	MaxNode::MaxNode(	×
11	size_t element_id,
12	const DebugInfo& debug_info,
13	const graph::Vertex vertex,
14	data_flow::DataFlowGraph& parent,
15	const std::vector<symbolic::Expression>& shape,
16	const std::vector<int64_t>& axes,
17	bool keepdims
18	)
NEW 19	: ReduceNode(element_id, debug_info, vertex, parent, LibraryNodeType_Max, shape, axes, keepdims) {}	×
20
NEW 21	bool MaxNode::expand_reduction(	×
22	builder::StructuredSDFGBuilder& builder,
23	analysis::AnalysisManager& analysis_manager,
24	structured_control_flow::Sequence& body,
25	const std::string& input_name,
26	const std::string& output_name,
27	const types::IType& input_type,
28	const types::IType& output_type,
29	const data_flow::Subset& input_subset,
30	const data_flow::Subset& output_subset
31	) {
NEW 32	auto& block = builder.add_block(body, {}, this->debug_info());	×
33
NEW 34	auto& libnode = builder.add_library_node<math::cmath::CMathNode>(block, this->debug_info(), "fmax", 2);	×
35
NEW 36	auto& in_access = builder.add_access(block, input_name, this->debug_info());	×
NEW 37	auto& out_read_access = builder.add_access(block, output_name, this->debug_info());	×
NEW 38	auto& out_write_access = builder.add_access(block, output_name, this->debug_info());	×
39
NEW 40	builder.add_computational_memlet(block, in_access, libnode, "_in1", input_subset, input_type, this->debug_info());	×
NEW 41	builder	×
NEW 42	.add_computational_memlet(block, out_read_access, libnode, "_in2", output_subset, output_type, this->debug_info());	×
NEW 43	builder.add_computational_memlet(	×
NEW 44	block, libnode, "_out", out_write_access, output_subset, output_type, this->debug_info()	×
45	);
46
NEW 47	return true;	×
NEW 48	}	×
49
NEW 50	std::string MaxNode::identity() const { return "-INFINITY"; }	×
51
52	std::unique_ptr<data_flow::DataFlowNode> MaxNode::
NEW 53	clone(size_t element_id, const graph::Vertex vertex, data_flow::DataFlowGraph& parent) const {	×
NEW 54	return std::unique_ptr<data_flow::DataFlowNode>(	×
NEW 55	new MaxNode(element_id, this->debug_info(), vertex, parent, this->shape_, this->axes_, this->keepdims_)	×
56	);
NEW 57	}	×
58
59	} // namespace tensor
60	} // namespace math
61	} // namespace sdfg

daisytuner / sdfglib / 20588702450

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