code: def test_weighted_binary_cross_entropy_with_reduced_sequences():
      pytest.skip(
          "Skip this test until the cudaFree crash on exit is fixed for Windows"
      )
  
      a = C.sequence.input_variable((), sequence_axis=C.Axis("a"))
      b = C.sequence.input_variable((), sequence_axis=C.Axis("b"))
      w = C.sequence.input_variable((), sequence_axis=C.Axis("w"))
      cd = C.weighted_binary_cross_entropy(
          C.sequence.first(a), C.sequence.first(b), C.sequence.first(w)
      )
      data = np.random.random((4,)).astype(np.float32)
      cd.eval({a: data, b: data, w: data})
  
file_path: CNTK/bindings/python/cntk/losses/tests/losses_test.py
imports: from __future__ import division
  import numpy
  import pytest
  import cntk
  from cntk.ops.tests.ops_test_utils import _test_binary_op, AA, precision, PRECISION_TO_TYPE, unittest_helper
label_desc: Use image node_id 7 for calling a global function with example usage: test_weighted_binary_cross_entropy_with_reduced_sequences() without return types