Open aarushjain29 opened 1 month ago
- The time measurements should be done in the
find_matches_for
function.
@pfultz2 does every single matcher go through find_matches_for
? If we're going to add this feature to the develop
branch then I suggest you add it for every matcher, not just the selected ones that Aarushi added the code to.
- There should also be an environment variable to enable it like
MIGRAPHX_TIME_MATCHERS
.
This is a good way to globally enable/disable match timing. But maybe we also want to enable/disable timing programmatically for individual matchers? Aarushi, in your experience would this be helpful?
- Trace filter should probably be used to reduce down the amount of printouts.
I suggest wrapping the timer function in a macro so you can easily insert/remove it from the list in individual passes' find_matches()
methods, eg.
void simplify_algebra::apply(module& m) const
{
// Run simplifications multiple times
m.repeat_while_changes(8, [&] {
match::find_matches(m,
LOG_MATCHER_TIMER(find_inner_broadcast{}), <===new macro
find_dot_broadcast{},
etc.
which would be less repetitive work than wrapping each matcher in curly brackets as Aarushi has done.
What do you think?
does every single matcher go through find_matches_for?
Yes.
This is a good way to globally enable/disable match timing. But maybe we also want to enable/disable timing programmatically for individual matchers?
The MIGRAPHX_TRACE_MATCHES_FOR
lets you filter the matchers if we use it for timing as well.
What do you think?
I would like to avoid needing to change the source code to get timings. We dont do it for the passes. This will let us get timings on deployed systems so we dont need to rebuild migraphx.
Test | Batch | Rate new a3a5fc |
Rate old 538898 |
Diff | Compare | |
---|---|---|---|---|---|---|
torchvision-resnet50 | 64 | 3,258.74 | 3,259.25 | -0.02% | :white_check_mark: | |
torchvision-resnet50_fp16 | 64 | 6,965.73 | 6,987.98 | -0.32% | :white_check_mark: | |
torchvision-densenet121 | 32 | 2,431.24 | 2,435.18 | -0.16% | :white_check_mark: | |
torchvision-densenet121_fp16 | 32 | 4,084.20 | 4,107.65 | -0.57% | :white_check_mark: | |
torchvision-inceptionv3 | 32 | 1,637.86 | 1,638.45 | -0.04% | :white_check_mark: | |
torchvision-inceptionv3_fp16 | 32 | 2,755.86 | 2,765.03 | -0.33% | :white_check_mark: | |
cadene-inceptionv4 | 16 | 780.10 | 776.04 | 0.52% | :white_check_mark: | |
cadene-resnext64x4 | 16 | 808.09 | 811.47 | -0.42% | :white_check_mark: | |
slim-mobilenet | 64 | 7,464.54 | 7,532.97 | -0.91% | :white_check_mark: | |
slim-nasnetalarge | 64 | 208.54 | 211.47 | -1.39% | :white_check_mark: | |
slim-resnet50v2 | 64 | 3,438.20 | 3,506.08 | -1.94% | :white_check_mark: | |
bert-mrpc-onnx | 8 | 1,151.26 | 1,145.67 | 0.49% | :white_check_mark: | |
bert-mrpc-tf | 1 | 317.64 | 464.12 | -31.56% | :red_circle: | |
pytorch-examples-wlang-gru | 1 | 424.97 | 415.28 | 2.33% | :white_check_mark: | |
pytorch-examples-wlang-lstm | 1 | 378.88 | 382.85 | -1.04% | :white_check_mark: | |
torchvision-resnet50_1 | 1 | 772.27 | 775.95 | -0.47% | :white_check_mark: | |
cadene-dpn92_1 | 1 | 396.02 | 403.42 | -1.84% | :white_check_mark: | |
cadene-resnext101_1 | 1 | 381.94 | 383.63 | -0.44% | :white_check_mark: | |
onnx-taau-downsample | 1 | 366.81 | 341.73 | 7.34% | :high_brightness: | |
dlrm-criteoterabyte | 1 | 35.05 | 33.34 | 5.15% | :high_brightness: | |
dlrm-criteoterabyte_fp16 | 1 | 58.20 | 52.72 | 10.41% | :high_brightness: | |
agentmodel | 1 | 7,983.59 | 8,136.83 | -1.88% | :white_check_mark: | |
unet_fp16 | 2 | 58.98 | 58.73 | 0.43% | :white_check_mark: | |
resnet50v1_fp16 | 1 | 969.11 | 968.97 | 0.01% | :white_check_mark: | |
resnet50v1_int8 | 1 | 977.22 | 1,017.05 | -3.92% | :red_circle: | |
bert_base_cased_fp16 | 64 | 1,171.49 | 1,171.55 | -0.01% | :white_check_mark: | |
bert_large_uncased_fp16 | 32 | 363.74 | 363.37 | 0.10% | :white_check_mark: | |
bert_large_fp16 | 1 | 213.40 | 199.99 | 6.70% | :high_brightness: | |
distilgpt2_fp16 | 16 | 2,198.49 | 2,203.14 | -0.21% | :white_check_mark: | |
yolov5s | 1 | 542.88 | 530.68 | 2.30% | :white_check_mark: | |
tinyllama | 1 | 43.49 | 43.42 | 0.16% | :white_check_mark: | |
vicuna-fastchat | 1 | 173.64 | 178.25 | -2.59% | :white_check_mark: | |
whisper-tiny-encoder | 1 | 418.45 | 417.77 | 0.16% | :white_check_mark: | |
whisper-tiny-decoder | 1 | 427.08 | 435.63 | -1.96% | :white_check_mark: |
This build is not recommended to merge :red_circle:
:red_circle:bert_large_uncased_fp16: FAILED: MIGraphX is not within tolerance - check verbose output
Codecov Report
All modified and coverable lines are covered by tests :white_check_mark:
Additional details and impacted files
```diff @@ Coverage Diff @@ ## develop #3500 +/- ## =========================================== + Coverage 92.02% 92.14% +0.12% =========================================== Files 509 512 +3 Lines 21005 21428 +423 =========================================== + Hits 19330 19745 +415 - Misses 1675 1683 +8 ```:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.