17697974118

Committed 13 Sep 2025 02:36PM UTC coverage: 60.51% (+1.2%) from 59.335%

Build # 17697974118

Build Type

Pull #219

github

Committed by

web-flow

Commit Message

Merge a1c5ecbc6 into 6c1992b40

Pull Request Pull Request #219: stdlib Library Nodes and ConstantNodes

Run Details

565 of 1799 new or added lines in 102 files covered. (31.41%)

102 existing lines in 38 files now uncovered.

9442 of 15604 relevant lines covered (60.51%)

107.02 hits per line

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94.12

/src/data_flow/library_nodes/math/ml/relu.cpp

#include "sdfg/data_flow/library_nodes/math/ml/relu.h"

#include "sdfg/analysis/analysis.h"
#include "sdfg/builder/structured_sdfg_builder.h"

#include "sdfg/analysis/scope_analysis.h"

namespace sdfg {
namespace math {
namespace ml {

ReLUNode::ReLUNode(
    size_t element_id,
    const DebugInfo& debug_info,
    const graph::Vertex vertex,
    data_flow::DataFlowGraph& parent,
    const std::vector<symbolic::Expression>& shape
)
    : ElementWiseUnaryNode(element_id, debug_info, vertex, parent, LibraryNodeType_ReLU, shape, {}) {}

bool ReLUNode::expand_operation(
    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& subset
) {
    // Add code
    types::Scalar base_type(input_type.primitive_type());

    auto& code_block = builder.add_block(body);
    auto& input_node_new = builder.add_access(code_block, input_name);
    auto& output_node_new = builder.add_access(code_block, output_name);
    auto& zero_node = builder.add_constant(code_block, "0.0", base_type);
    auto& tasklet = builder.add_tasklet(code_block, data_flow::TaskletCode::max, "_out", {"_in1", "_in2"});
    builder.add_computational_memlet(code_block, zero_node, tasklet, "_in1", {}, base_type);
    builder.add_computational_memlet(code_block, input_node_new, tasklet, "_in2", subset, input_type);
    builder.add_computational_memlet(code_block, tasklet, "_out", output_node_new, subset, output_type);

    return true;
}

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

} // namespace ml
} // namespace math
} // namespace sdfg

1	#include "sdfg/data_flow/library_nodes/math/ml/relu.h"
2
3	#include "sdfg/analysis/analysis.h"
4	#include "sdfg/builder/structured_sdfg_builder.h"
5
6	#include "sdfg/analysis/scope_analysis.h"
7
8	namespace sdfg {
9	namespace math {
10	namespace ml {
11
12	ReLUNode::ReLUNode(	5✔
13	size_t element_id,
14	const DebugInfo& debug_info,
15	const graph::Vertex vertex,
16	data_flow::DataFlowGraph& parent,
17	const std::vector<symbolic::Expression>& shape
18	)
19	: ElementWiseUnaryNode(element_id, debug_info, vertex, parent, LibraryNodeType_ReLU, shape, {}) {}	5✔
20
21	bool ReLUNode::expand_operation(	2✔
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& subset
30	) {
31	// Add code
32	types::Scalar base_type(input_type.primitive_type());	2✔
33
34	auto& code_block = builder.add_block(body);	2✔
35	auto& input_node_new = builder.add_access(code_block, input_name);	2✔
36	auto& output_node_new = builder.add_access(code_block, output_name);	2✔
37	auto& zero_node = builder.add_constant(code_block, "0.0", base_type);	2✔
38	auto& tasklet = builder.add_tasklet(code_block, data_flow::TaskletCode::max, "_out", {"_in1", "_in2"});	2✔
39	builder.add_computational_memlet(code_block, zero_node, tasklet, "_in1", {}, base_type);	2✔
40	builder.add_computational_memlet(code_block, input_node_new, tasklet, "_in2", subset, input_type);	2✔
41	builder.add_computational_memlet(code_block, tasklet, "_out", output_node_new, subset, output_type);	2✔
42
43	return true;
44	}	2✔
45
46	std::unique_ptr<data_flow::DataFlowNode> ReLUNode::
47	clone(size_t element_id, const graph::Vertex vertex, data_flow::DataFlowGraph& parent) const {	1✔
48	return std::unique_ptr<	1✔
49	data_flow::DataFlowNode>(new ReLUNode(element_id, this->debug_info(), vertex, parent, this->shape_));	1✔
UNCOV 50	}	×
51
52	} // namespace ml
53	} // namespace math
54	} // namespace sdfg

daisytuner / sdfglib / 17697974118

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