[GitHub] [tvm] lhutton1 opened a new pull request, #12713: [TVMC] Run module once by default

[GitBox <gi...@apache.org>]

lhutton1 opened a new pull request, #12713:
URL: https://github.com/apache/tvm/pull/12713

   Currently executing `tvmc run module.tar` will run the input model twice. For benchmaking this is to be expected as the first run is used to prime caches etc before taking a measurement. However, this seems a bit unintuitive to have as default, especially when benchmarking is not always intended. In this sense, this commit aims to amend the number of runs for the default: `tvmc run module.tar` to a single run.
   
   After inspection, this seems to be down to the use of the `.benchmark()` method which runs (1 + repeat * number) executions in total. This means that at least two runs are required (i.e. when repeat=1, number=1). It also seems that it is only necessary to benchmark the model when `--print-time` has been set from the CLI POV. From the python interface POV, benchmarking is always run, but this may not always be necessary.
   
   This commit makes use of the `.run()` method to singularly execute the model by default. From the CLI this will be used when `--print-time` is set to False whereas from the python interface this will be used when `benchmark=False`. Otherwise, the `.benchmark()` method will be used as before. Complementary to this change `repeat`, `number` and `end_to_end` parameters are only used when either `--print-time` or `benchmark` are set to True - and the documentation has been updated to indicate this.


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[GitHub] [tvm] leandron merged pull request #12713: [TVMC] Run module once by default

[GitBox <gi...@apache.org>]

leandron merged PR #12713:
URL: https://github.com/apache/tvm/pull/12713


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