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Support Matrix

Supported distributed communication backends

MPI4Py torch.distributed Horovod paddle.distributed oneflow.comm
MPI4PyDist TorchCPUDist
TorchCUDADist
TFHorovodDist PaddleDist OneFlowDist

Supported metrics and ML frameworks

Note

The following table lists the metrics implemented by MMEval and the corresponding machine learning framework support. A check mark indicates that the data type of the corresponding framework (e.g. Tensor) can be directly passed for computation.

Note

MMEval tested with PyTorch 1.6+, TensorFlow 2.4+, Paddle 2.2+ and OneFlow 0.8+.

Metric numpy.ndarray torch.Tensor tensorflow.Tensor paddle.Tensor oneflow.Tensor
Accuracy
SingleLabelMetric
MultiLabelMetric
AveragePrecision
MeanIoU
VOCMeanAP
OIDMeanAP
COCODetection
ProposalRecall
F1Score
HmeanIoU
PCKAccuracy
MpiiPCKAccuracy
JhmdbPCKAccuracy
EndPointError
AVAMeanAP
StructuralSimilarity
SignalNoiseRatio
PeakSignalNoiseRatio
MeanAbsoluteError
MeanSquaredError
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