tf.assert_non_negative()

tf.assert_non_negative(x, data=None, summarize=None, message=None, name=None) Assert the condition x >= 0 holds

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tf.assert_greater_equal()

tf.assert_greater_equal(x, y, data=None, summarize=None, message=None, name=None) Assert the condition x >= y

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tf.assert_proper_iterable()

tf.assert_proper_iterable(values) Static assert that values is a "proper" iterable. Ops

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tf.is_strictly_increasing()

tf.is_strictly_increasing(x, name=None) Returns True if x is strictly increasing.

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tf.assert_positive()

tf.assert_positive(x, data=None, summarize=None, message=None, name=None) Assert the condition x > 0 holds element-wise

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tf.is_numeric_tensor()

tf.is_numeric_tensor(tensor)

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tf.is_non_decreasing()

tf.is_non_decreasing(x, name=None) Returns True if x is non-decreasing. Elements

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tf.assert_non_positive()

tf.assert_non_positive(x, data=None, summarize=None, message=None, name=None) Assert the condition x <= 0 holds

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tf.assert_rank()

tf.assert_rank(x, rank, data=None, summarize=None, message=None, name=None) Assert x has rank equal to rank

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tf.assert_less_equal()

tf.assert_less_equal(x, y, data=None, summarize=None, message=None, name=None) Assert the condition x <= y holds

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