[unittest] generate positional encoding unittest
[platform/core/ml/nntrainer.git] / test / input_gen / genLayerTests.py
2022-09-07 hyeonseok lee[unittest] generate positional encoding unittest
2022-09-07 hyeonseok lee[multi head attention] added unittest
2022-07-20 hyeonseok lee[conv] support causal padding in conv1d
2022-07-11 hyeonseok lee[conv] support dilation property
2022-05-11 hyeonseok lee[rnncell] generate testcase for muli in/out of rnncell
2021-12-31 hyeonseok lee[grucell] enable multi inout
2021-12-30 hyeonseok lee[lstmcell] support multi in/out
2021-12-15 hyeonseok lee[gru] enable bias_hh, reset_after
2021-11-10 hyeonseok lee[unittest] Implement rnncell unittest
2021-10-20 Parichay Kapoor[layer] Support concat along all the dimensions
2021-10-19 Parichay Kapoor[test] GRU with reset_after=False
2021-10-19 Parichay Kapoor[layer/test] Add unittests for conv1d
2021-10-18 Parichay Kapoor[layer/test] Bug fix for dropout + unittest
2021-10-15 Parichay Kapoor[packaging] Debian launchpad buildfix for focal
2021-10-13 Parichay Kapoor[test/layers] Add gru layer testing
2021-10-09 Parichay Kapoor[test] Added unittests for LSTM
2021-10-08 Parichay Kapoor[layer] Attention support for different key value
2021-10-08 Parichay Kapoor[test] Add unittest for attention layer
2021-10-08 Parichay Kapoor[test] Add unittest for attention layer
2021-10-06 Jihoon Lee[Test] Add conv2d golden tests
2021-09-30 Jihoon Lee[Test] Add bn layer training
2021-09-28 Jihoon Lee[Test] Update layer golden test format
2021-09-23 Jihoon Lee[Test] Prepare layer golden test data