26822635757

Committed 02 Jun 2026 01:23PM UTC coverage: 61.315% (+0.01%) from 61.302%

Build # 26822635757

Build Type

Pull #725

github

Committed by

web-flow

Commit Message

Merge c4b62464d into 887730e20

Pull Request Pull Request #725: Tensor node backport

Coverage Stats

931 of 1617 new or added lines in 52 files covered. (57.58%)

92 existing lines in 33 files now uncovered.

35583 of 58033 relevant lines covered (61.32%)

11024.92 hits per line

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73.68

/sdfg/src/data_flow/library_nodes/math/tensor/elementwise_ops/relu_node.cpp

#include "sdfg/data_flow/library_nodes/math/tensor/elementwise_ops/relu_node.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/cmath/cmath_node.h"

namespace sdfg {
namespace math {
namespace tensor {

ReLUNode::ReLUNode(
    size_t element_id,
    const DebugInfo& debug_info,
    const graph::Vertex vertex,
    data_flow::DataFlowGraph& parent,
    const std::vector<symbolic::Expression>& shape,
    QuantizationType quantization,
    const data_flow::ImplementationType& impl_type
)
    : ElementWiseDataflowTensorNode(
          element_id, debug_info, vertex, parent, LibraryNodeType_ReLU, shape, "Y", {"X"}, quantization, impl_type
      ) {}

ElementWiseDataflowTensorNode::ElementOutput ReLUNode::expand_operation_dataflow(
    builder::StructuredSDFGBuilder& builder,
    analysis::AnalysisManager& analysis_manager,
    Block& block,
    std::vector<ElementInput>& needed_inputs,
    types::PrimitiveType expected_type
) {
    auto& input = needed_inputs.at(0);

    types::Scalar zero_type(input.required_type);
    auto& zero_node = builder.add_constant(block, "0.0", zero_type);

    auto& libnode =
        builder.add_library_node<cmath::CMathNode>(block, debug_info_, cmath::CMathFunction::fmax, input.required_type);
    input.consumer = &libnode;
    input.input_conn_index = 0;

    builder.add_computational_memlet(block, zero_node, libnode, "_in2", {}, zero_type);

    return {.producer = &libnode, .output_conn_index = 0, .type = input.required_type};
}

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_, fixed_quantization_, implementation_type_
    ));
}

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

1	#include "sdfg/data_flow/library_nodes/math/tensor/elementwise_ops/relu_node.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/cmath/cmath_node.h"
9
10	namespace sdfg {
11	namespace math {
12	namespace tensor {
13
14	ReLUNode::ReLUNode(
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	QuantizationType quantization,
21	const data_flow::ImplementationType& impl_type
22	)
23	: ElementWiseDataflowTensorNode(	19✔
24	element_id, debug_info, vertex, parent, LibraryNodeType_ReLU, shape, "Y", {"X"}, quantization, impl_type	19✔
25	) {}	19✔
26
27	ElementWiseDataflowTensorNode::ElementOutput ReLUNode::expand_operation_dataflow(
28	builder::StructuredSDFGBuilder& builder,
29	analysis::AnalysisManager& analysis_manager,
30	Block& block,
31	std::vector<ElementInput>& needed_inputs,
32	types::PrimitiveType expected_type
33	) {	4✔
34	auto& input = needed_inputs.at(0);	4✔
35
36	types::Scalar zero_type(input.required_type);	4✔
37	auto& zero_node = builder.add_constant(block, "0.0", zero_type);	4✔
38
39	auto& libnode =	4✔
40	builder.add_library_node<cmath::CMathNode>(block, debug_info_, cmath::CMathFunction::fmax, input.required_type);	4✔
41	input.consumer = &libnode;	4✔
42	input.input_conn_index = 0;	4✔
43
44	builder.add_computational_memlet(block, zero_node, libnode, "_in2", {}, zero_type);	4✔
45
46	return {.producer = &libnode, .output_conn_index = 0, .type = input.required_type};	4✔
47	}	4✔
48
49	std::unique_ptr<data_flow::DataFlowNode> ReLUNode::
50	clone(size_t element_id, const graph::Vertex vertex, data_flow::DataFlowGraph& parent) const {	×
NEW 51	return std::unique_ptr<data_flow::DataFlowNode>(new ReLUNode(	×
NEW 52	element_id, this->debug_info(), vertex, parent, this->shape_, fixed_quantization_, implementation_type_	×
NEW 53	));	×
UNCOV 54	}	×
55
56	} // namespace tensor
57	} // namespace math
58	} // namespace sdfg

daisytuner / docc / 26822635757

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