* [PROFILING] Use PAPI to collect hardware performance counters on CPU and CUDA
This PR adds an optional dependency on PAPI
(https://bitbucket.org/icl/papi/) in order to collect hardware
performance counters on CPU and CUDA. These performance counters include
data like total cycles, instructions executed, and cache misses. Users
can control which performance counters are collected by setting the
TVM_PAPI_${DEVICE}_METRICS environment variable to a semicolon separated
list of metrics.
* Update CMakeLists.txt
Co-authored-by: Leandro Nunes <leandro.nunes@arm.com>
* move thread pool reset out of crt
* add docs
* comments
* formatting
* forgot one doc
* kDLGPU -> kDLCUDA
* Refactor API to more closely match pass instrument's.
* forgot files
* formatting
* more lint
* fix docs
* optional loading of papi metric collector in python
* more formatting
* fix check
* update docs and default value
* formatting
* addressing andrews comments
* fix docs
* address comments
* move shared initialization code into private function
* move most definitions from papi header to implementation file
Co-authored-by: Leandro Nunes <leandro.nunes@arm.com>
Tristan Konolige
d67514bd60