Public API for tf._api.v2.debugging namespace

## Modules

`experimental`

module: Public API for tf._api.v2.debugging.experimental 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 that `x`

has rank equal to `rank`

.

`assert_rank_at_least(...)`

: Assert that `x`

has rank of at least `rank`

.

`assert_rank_in(...)`

: Assert that `x`

has a 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.

`assert_shapes(...)`

: Assert tensor shapes and dimension size relationships between tensors.

`assert_type(...)`

: Asserts that the given `Tensor`

is of the specified type.

`check_numerics(...)`

: Checks a tensor for NaN and Inf values.

`disable_check_numerics(...)`

: Disable the eager/graph unified numerics checking mechanism.

`disable_traceback_filtering(...)`

: Disable filtering out TensorFlow-internal frames in exception stack traces.

`enable_check_numerics(...)`

: Enable tensor numerics checking in an eager/graph unified fashion.

`enable_traceback_filtering(...)`

: Enable filtering out TensorFlow-internal frames in exception stack traces.

`get_log_device_placement(...)`

: Get if device placements are logged.

`is_numeric_tensor(...)`

: Returns `True`

if the elements of `tensor`

are numbers.

`is_traceback_filtering_enabled(...)`

: Check whether traceback filtering is currently enabled.

`set_log_device_placement(...)`

: Turns logging for device placement decisions on or off.