Python _compute_fraction_of_zero示例

示例#1

 def test_multiple_empty(self):
     sparsity = linear._compute_fraction_of_zero([
         ops.convert_to_tensor([]),
         ops.convert_to_tensor([]),
     ])
     self.assertTrue(self.evaluate(tf.math.is_nan(sparsity)),
                     'Expected sparsity=nan, got %s' % sparsity)

示例#2

文件： linear_test_v1.py 项目： yuhonghong66/estimator

 def test_empty(self):
   sparsity = linear._compute_fraction_of_zero([ops.convert_to_tensor([])])
   with self.test_session() as sess:
     sparsity_np = sess.run(sparsity)
     self.assertTrue(
         np.isnan(sparsity_np),
         'Expected sparsity=nan, got %s' % sparsity_np)

示例#3

 def test_none(self):
     with self.assertRaises(ValueError):
         linear._compute_fraction_of_zero([])

示例#4

 def _assertSparsity(self, expected_sparsity, tensor):
     sparsity = linear._compute_fraction_of_zero([tensor])
     self.assertAllClose(expected_sparsity, sparsity)

示例#5

文件： linear_test_v1.py 项目： yuhonghong66/estimator

 def _assertSparsity(self, expected_sparsity, tensor):
   sparsity = linear._compute_fraction_of_zero([tensor])
   with self.test_session() as sess:
     self.assertAllClose(expected_sparsity, sess.run(sparsity))