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ONE - On-device Neural Engine
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#include <locop/FormattedGraph.h>#include <loco/IR/FeatureShape.h>#include <loco/IR/FilterShape.h>#include <loco/IR/TensorShape.h>#include <sstream>#include <vector>Go to the source code of this file.
Namespaces | |
| namespace | loco |
| namespace | moco |
| namespace | moco::tf |
Typedefs | |
| using | moco::tf::FormattedGraph = locop::FormattedGraphImpl< locop::Formatter::LinearV1 > |
Functions | |
| std::ostream & | loco::operator<< (std::ostream &os, const loco::FeatureShape &feature_shape) |
| dump FeatureShape values to stream | |
| std::ostream & | loco::operator<< (std::ostream &os, const loco::FilterShape &filter_shape) |
| dump FilterShape values to stream | |
| std::ostream & | loco::operator<< (std::ostream &os, const loco::TensorShape &tensor_shape) |
| dump TensorShape values to stream | |
| std::ostream & | loco::operator<< (std::ostream &os, const loco::Padding2D &pad) |
| dump Padding2D values to stream | |
| std::ostream & | operator<< (std::ostream &os, const std::vector< int64_t > &vi64) |
| dump std::vector<int64_t> values to stream | |
| FormattedGraph | moco::tf::fmt (loco::Graph *g) |
| std::ostream & operator<< | ( | std::ostream & | os, |
| const std::vector< int64_t > & | vi64 | ||
| ) |
dump std::vector<int64_t> values to stream
Definition at line 59 of file LogHelper.cpp.