Open HariniMohan0102 opened 3 months ago
@HariniMohan0102 and @punithsekar please clearly list which convs are failing with details like, input resolution, filter size, input output channels, stride, dilation, ...
For instance, for model-k, we lowered the resolution for some convs to get them to pass. However, we still need support for the original resolution and they must be included in the unit tests with the original resolution and marked as failing.
@dvartaniansTT updated the issue description and Readme with the required details of failing cases. Please check.
@HariniMohan0102 please test the dilation> 1 and confirm if they pass now.
@dvartaniansTT On testing, all the dilation >1 input configurations passed. Further, updated the issue description with the other failing convs (OOM issue).
@mywoodstock and @HariniMohan0102 can we close this issue now or still valid?
@dvartaniansTT The issue is still valid. The conv unit test for higher resolution (256x256) still fails with OOM error. The conv unit test for lower resolution (128x128) was failing with OOM error when tested previously. Note: Yet to unit test conv cases with the latest main, especially for lower resolution.
Describe the bug On unit testing the conv ops of model_k, for the input resolution 256x256:
pytest tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_model_k_256x256_failing_convs
On unit testing the conv ops of model_k, for the input resolution 128x128:
pytest tests/ttnn/unit_tests/operations/test_new_conv2d.py::test_model_k_128x128_failing_convs
To Reproduce Steps to reproduce the behavior:
Expected behavior To run conv op for the specific input configurations without error.
Please complete the following environment information: