We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
After bug patch on #9926, fullyconnected/hybrid model test fail.
Fail release build, acl-cl backend on ubuntu 18.04 Passed on 20.04 (my local environment).
Run fullyconnected/hybrid ====================== [Execution] Stage start! [Execution] Model is deserialized! [Execution] Model compiled! [Execution] Input data is defined! [Execution] Done! [Comparison] Stage start! [Comparison] TFLite run done! Output #0, Element Index : 256, ref: 0.0680161, act: 0.0694258 (diff: 0.00140966) Output #0, Element Index : 258, ref: 1.85973, act: 1.85871 (diff: 0.00102198) Output #0, Element Index : 292, ref: -2.89502, act: -2.89382 (diff: 0.00119829) Output #0, Element Index : 350, ref: -0.616233, act: -0.617396 (diff: 0.00116301) Output #0, Element Index : 381, ref: -1.46097, act: -1.46199 (diff: 0.00102198) Output #0, Element Index : 403, ref: -2.49767, act: -2.49873 (diff: 0.00105739) [Comparison] outputs is not equal! [Comparison] Done!
Originally posted by @hseok-oh in #9926 (comment)
The text was updated successfully, but these errors were encountered:
Maybe too large size FC operation makes quantization error.
[#0 (MAIN)] #0 (MAIN) input tensors: [0] %0 : buffer (Empty) | FLOAT32 | Memory 158.4K | Shape [4, 10137] (b'decoder/one_hot') #0 (MAIN) output tensors: [1] %1 : buffer (Empty) | FLOAT32 | Memory 4.0K | Shape [4, 256] (b'decoder/target_embed/MatMul') #0 FULLY_CONNECTED Fused Activation: NONE Input Tensors[%0, %3, %2] %0 : buffer (Empty) | FLOAT32 | Memory 158.4K | Shape [4, 10137] (b'decoder/one_hot') %3 : buffer (&2 : [[ ... ]]) | UINT8 | Memory 2.5M | Shape [256, 10137] (b'target_embed/kernel/u/transpose') %2 : buffer (&1 : [ ... ]) | FLOAT32 | Memory 1.0K | Shape [256] (b'decoder/target_embed/MatMul_bias') Output Tensors[%1] %1 : buffer (Empty) | FLOAT32 | Memory 4.0K | Shape [4, 256] (b'decoder/target_embed/MatMul') Number of all operator types : 1 FULLY_CONNECTED : 1 Number of all operators : 1 Expected TOTAL memory: 2.6M Expected FILLED memory: 2.5M
But it is strange why there is not error on debug build.
Sorry, something went wrong.
It is resolved by ARMCompute version up. #14454
No branches or pull requests
After bug patch on #9926, fullyconnected/hybrid model test fail.
Fail release build, acl-cl backend on ubuntu 18.04
Passed on 20.04 (my local environment).
Originally posted by @hseok-oh in #9926 (comment)
The text was updated successfully, but these errors were encountered: