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Steps to reproduce:
- Access https://tensorflow.github.io/tfjs/e2e/benchmarks/local-benchmark/index.html
- Use the default backend
wasm
and clickRun benchmark
. - See the left table
Peak memory | 19.63 MB |
---|
- Switch to
webgl
backend. Change any flags, for examplewebgl pack
. And then switch back towasm
. - Click
Run benchmark
again. The peak memory increases as below:
Peak memory | 33.51 MB |
---|
- If we repeat 4 and 5, you will find the peak memory gets bigger and bigger. However, if you don't change the flag, the peak memory won't change. It happens for all backends that the flag will affect the peak memory. It seems like a bug.
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qjia7 commentedon Apr 15, 2021
fyi @lina128. This is the issue that I mentioned in yesterday's meeting.
gaikwadrahul8 commentedon May 15, 2023
Hi, @qjia7
Apologize for the delayed response and we're re-visiting our older issues and checking whether those issues got resolved or not as of now and I tried from my end and still this issue exists so May I know are you still looking for the solution ? Thank you!
For your reference I have added screenshot below:
qjia7 commentedon May 16, 2023
I expect it can be resolved since it's a bug.