mmcls.apis.multi_gpu_test

mmcls.apis.multi_gpu_test(model, data_loader, tmpdir=None, gpu_collect=False)

Test model with multiple gpus.

This method tests model with multiple gpus and collects the results under two different modes: gpu and cpu modes. By setting ‘gpu_collect=True’ it encodes results to gpu tensors and use gpu communication for results collection. On cpu mode it saves the results on different gpus to ‘tmpdir’ and collects them by the rank 0 worker.

Parameters

• model (nn.Module) – Model to be tested.

• data_loader (nn.Dataloader) – Pytorch data loader.

• tmpdir (str) – Path of directory to save the temporary results from different gpus under cpu mode.

• gpu_collect (bool) – Option to use either gpu or cpu to collect results.

Returns

The prediction results.

Return type

list