18318176242

Committed 07 Oct 2025 03:42PM UTC coverage: 61.593% (+0.5%) from 61.066%

Build # 18318176242

Build Type

Pull #262

github

Committed by

web-flow

Commit Message

Merge 98864a558 into 82460a9ec

Pull Request Pull Request #262: Tasklets, Intrinsics and Library Nodes

Run Details

84 of 418 new or added lines in 29 files covered. (20.1%)

153 existing lines in 17 files now uncovered.

8979 of 14578 relevant lines covered (61.59%)

103.69 hits per line

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29.41

/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"

#include "sdfg/data_flow/library_nodes/math/intrinsic.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_library_node<math::IntrinsicNode>(code_block, code_block.debug_info(), "fmax", 2);
    
    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	#include "sdfg/data_flow/library_nodes/math/intrinsic.h"
9
10	namespace sdfg {
11	namespace math {
12	namespace ml {
13
14	ReLUNode::ReLUNode(	3✔
15	size_t element_id,
16	const DebugInfo& debug_info,
17	const graph::Vertex vertex,
18	data_flow::DataFlowGraph& parent,
19	const std::vector<symbolic::Expression>& shape
20	)
21	: ElementWiseUnaryNode(element_id, debug_info, vertex, parent, LibraryNodeType_ReLU, shape) {}	3✔
22
UNCOV 23	bool ReLUNode::expand_operation(	×
24	builder::StructuredSDFGBuilder& builder,
25	analysis::AnalysisManager& analysis_manager,
26	structured_control_flow::Sequence& body,
27	const std::string& input_name,
28	const std::string& output_name,
29	const types::IType& input_type,
30	const types::IType& output_type,
31	const data_flow::Subset& subset
32	) {
33	// Add code
UNCOV 34	types::Scalar base_type(input_type.primitive_type());	×
35
UNCOV 36	auto& code_block = builder.add_block(body);	×
UNCOV 37	auto& input_node_new = builder.add_access(code_block, input_name);	×
UNCOV 38	auto& output_node_new = builder.add_access(code_block, output_name);	×
UNCOV 39	auto& zero_node = builder.add_constant(code_block, "0.0", base_type);	×
40
NEW 41	auto& tasklet = builder.add_library_node<math::IntrinsicNode>(code_block, code_block.debug_info(), "fmax", 2);	×
42
UNCOV 43	builder.add_computational_memlet(code_block, zero_node, tasklet, "_in1", {}, base_type);	×
UNCOV 44	builder.add_computational_memlet(code_block, input_node_new, tasklet, "_in2", subset, input_type);	×
UNCOV 45	builder.add_computational_memlet(code_block, tasklet, "_out", output_node_new, subset, output_type);	×
46
47	return true;
UNCOV 48	}	×
49
50	std::unique_ptr<data_flow::DataFlowNode> ReLUNode::
51	clone(size_t element_id, const graph::Vertex vertex, data_flow::DataFlowGraph& parent) const {	1✔
52	return std::unique_ptr<	1✔
53	data_flow::DataFlowNode>(new ReLUNode(element_id, this->debug_info(), vertex, parent, this->shape_));	1✔
54	}	×
55
56	} // namespace ml
57	} // namespace math
58	} // namespace sdfg

daisytuner / sdfglib / 18318176242

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