class_docstr: Test class for `ExplainedVariance` metric.
class_docstr_tok: ["Test","class","for","`","ExplainedVariance","`","metric","."]
docstr: Test dtype support of the metric on GPU.
docstr_tok: ["Test","dtype","support","of","the","metric","on","GPU","."]
code: def test_explained_variance_half_gpu(
      self, multioutput, preds, target, ref_metric
  ):
      """Test dtype support of the metric on GPU."""
      self.run_precision_test_gpu(
          preds, target, ExplainedVariance, explained_variance
      )
  
file_path: torchmetrics/tests/unittests/regression/test_explained_variance.py
imports: from functools import partial
  import pytest
  import torch
  from sklearn.metrics import explained_variance_score
  from torchmetrics.functional import explained_variance
  from torchmetrics.regression import ExplainedVariance
  from unittests import BATCH_SIZE, NUM_BATCHES, _Input
  from unittests.helpers import seed_all
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 5 for calling the TestExplainedVariance obj's underlying member method code with example usage: obj.test_explained_variance_half_gpu(multioutput, preds, target, ref_metric) without return types