* implement training and evaluation on IPU * fp16 SOTA * Tput reaches 5600 * 123 * add poptorch dataloder * change ipu_replicas to ipu-replicas * add noqa to config long line(website) * remove ipu dataloder test code * del one blank line in test_builder * refine the dataloder initialization * fix a typo * refine args for dataloder * remove an annoted line * process one more conflict * adjust code structure in mmcv.ipu * adjust ipu code structure in mmcv * IPUDataloader to IPUDataLoader * align with mmcv * adjust according to mmcv * mmcv code structre fixed Co-authored-by: hudi <dihu@graphcore.ai> |
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.. | ||
analysis_tools | ||
convert_models | ||
deployment | ||
misc | ||
visualizations | ||
dist_test.sh | ||
dist_train.sh | ||
kfold-cross-valid.py | ||
slurm_test.sh | ||
slurm_train.sh | ||
test.py | ||
train.py |