zhreshold closed pull request #9583: use nd for accuracy calculation URL: https://github.com/apache/incubator-mxnet/pull/9583
This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is a foreign pull request (from a fork), the diff is supplied below (as it won't show otherwise due to GitHub magic): diff --git a/python/mxnet/metric.py b/python/mxnet/metric.py index 5b0780aecc..f1cdae26a2 100644 --- a/python/mxnet/metric.py +++ b/python/mxnet/metric.py @@ -380,23 +380,27 @@ def update(self, labels, preds): Parameters ---------- labels : list of `NDArray` - The labels of the data. + The labels of the data with class indices as values, one per sample. preds : list of `NDArray` - Predicted values. + Prediction values for samples. Each prediction value can either be the class index, + or a vector of likelihoods for all classes. """ check_label_shapes(labels, preds) for label, pred_label in zip(labels, preds): if pred_label.shape != label.shape: pred_label = ndarray.argmax(pred_label, axis=self.axis) - pred_label = pred_label.asnumpy().astype('int32') - label = label.asnumpy().astype('int32') + pred_label = pred_label.astype('int32') + label = label.astype('int32') check_label_shapes(label, pred_label) - self.sum_metric += (pred_label.flat == label.flat).sum() - self.num_inst += len(pred_label.flat) + if pred_label.context != label.context: + pred_label = pred_label.as_in_context(label.context) + + self.sum_metric += (pred_label.flatten() == label.flatten()).sum().asscalar() + self.num_inst += numpy.prod(pred_label.shape) @register ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services