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# Module: tf.debugging

Public API for tf.debugging namespace.

## Functions

`Assert(...)`: Asserts that the given condition is true.

`assert_all_finite(...)`: Assert that the tensor does not contain any NaN's or Inf's.

`assert_equal(...)`: Assert the condition `x == y` holds element-wise.

`assert_greater(...)`: Assert the condition `x > y` holds element-wise.

`assert_greater_equal(...)`: Assert the condition `x >= y` holds element-wise.

`assert_integer(...)`: Assert that `x` is of integer dtype.

`assert_less(...)`: Assert the condition `x < y` holds element-wise.

`assert_less_equal(...)`: Assert the condition `x <= y` holds element-wise.

`assert_near(...)`: Assert the condition `x` and `y` are close element-wise.

`assert_negative(...)`: Assert the condition `x < 0` holds element-wise.

`assert_non_negative(...)`: Assert the condition `x >= 0` holds element-wise.

`assert_non_positive(...)`: Assert the condition `x <= 0` holds element-wise.

`assert_none_equal(...)`: Assert the condition `x != y` holds element-wise.

`assert_positive(...)`: Assert the condition `x > 0` holds element-wise.

`assert_proper_iterable(...)`: Static assert that values is a "proper" iterable.

`assert_rank(...)`: Assert `x` has rank equal to `rank`.

`assert_rank_at_least(...)`: Assert `x` has rank equal to `rank` or higher.

`assert_rank_in(...)`: Assert `x` has rank in `ranks`.

`assert_same_float_dtype(...)`: Validate and return float type based on `tensors` and `dtype`.

`assert_scalar(...)`: Asserts that the given `tensor` is a scalar (i.e. zero-dimensional).

`assert_shapes(...)`: Assert tensor shapes and dimension size relationships between tensors.

`assert_type(...)`: Statically asserts that the given `Tensor` is of the specified type.

`check_numerics(...)`: Checks a tensor for NaN and Inf values.

`get_log_device_placement(...)`: Get if device placements are logged.

`is_finite(...)`: Returns which elements of x are finite.

`is_inf(...)`: Returns which elements of x are Inf.

`is_nan(...)`: Returns which elements of x are NaN.

`is_non_decreasing(...)`: Returns `True` if `x` is non-decreasing.

`is_numeric_tensor(...)`: Returns `True` if the elements of `tensor` are numbers.

`is_strictly_increasing(...)`: Returns `True` if `x` is strictly increasing.

`set_log_device_placement(...)`: Set if device placements should be logged.

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