#ifndef HALIDE_PROFILING_H
#define HALIDE_PROFILING_H
/** \file
* Defines the lowering pass that injects print statements when profiling is turned on.
* The profiler will print out per-pipeline and per-func stats, such as total time
* spent and heap/stack allocation information. To turn on the profiler, set
* HL_TARGET/HL_JIT_TARGET flags to 'host-profile'.
*
* Output format:
* \<pipeline_name\>
* \<total time spent in this pipeline\> \<# of samples taken\> \<# of runs\> \<avg time/run\>
* \<# of heap allocations\> \<peak heap allocation\>
* \<func_name\> \<total time spent in this func\> \<percentage of time spent\>
* (\<peak heap alloc by this func\> \<num of allocs\> \<average alloc size\> |
* \<worst-case peak stack alloc by this func\>)?
*
* Sample output:
* memory_profiler_mandelbrot
* total time: 59.832336 ms samples: 43 runs: 1000 time/run: 0.059832 ms
* heap allocations: 104000 peak heap usage: 505344 bytes
* f0: 0.025673ms (42%)
* mandelbrot: 0.006444ms (10%) peak: 505344 num: 104000 avg: 5376
* argmin: 0.027715ms (46%) stack: 20
*/
#include "IR.h"
namespace Halide {
namespace Internal {
/** Take a statement representing a halide pipeline insert
* high-resolution timing into the generated code (via spawning a
* thread that acts as a sampling profiler); summaries of execution
* times and counts will be logged at the end. Should be done before
* storage flattening, but after all bounds inference.
*
*/
Stmt inject_profiling(Stmt, std::string);
}
}
#endif