TensorFlow 1 version |
Public API for tf.debugging namespace.
Modules
experimental
module: Public API for tf.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 for all elements.
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.
enable_check_numerics(...)
: Enable tensor numerics checking in an eager/graph unified fashion.
get_log_device_placement(...)
: Get if device placements are logged.
is_numeric_tensor(...)
: Returns True
if the elements of tensor
are numbers.
set_log_device_placement(...)
: Set if device placements should be logged.