def Assert(condition, data, summarize=None, name=None): """Asserts that the given condition is true. If `condition` evaluates to false, print the list of tensors in `data`. `summarize` determines how many entries of the tensors to print. NOTE: To ensure that Assert executes, one usually attaches a dependency: ```python # Ensure maximum element of x is smaller or equal to 1 assert_op = tf.Assert(tf.less_equal(tf.reduce_max(x), 1.), [x]) x = tf.with_dependencies([assert_op], x) ``` Args: condition: The condition to evaluate. data: The tensors to print out when condition is false. summarize: Print this many entries of each tensor. name: A name for this operation (optional). Returns: assert_op: An `Operation` that, when executed, raises a `tf.errors.InvalidArgumentError` if `condition` is not true. """ return gen_logging_ops._assert(condition, data, summarize, name)
def Assert(condition, data, summarize=None, name=None): """Asserts that the given condition is true. If `condition` evaluates to false, print the list of tensors in `data`. `summarize` determines how many entries of the tensors to print. NOTE: To ensure that Assert executes, one usually attaches a control dependency: ```python # Ensure maximum element of x is smaller or equal to 1 assert_op = tf.Assert(tf.less_equal(tf.reduce_max(x), 1.), [x]) with tf.control_dependencies([assert_op]): x = tf.identity(x) ``` Args: condition: The condition to evaluate. data: The tensors to print out when condition is false. summarize: Print this many entries of each tensor. name: A name for this operation (optional). Returns: assert_op: An `Operation` that, when executed, raises a `tf.errors.InvalidArgumentError` if `condition` is not true. """ return gen_logging_ops._assert(condition, data, summarize, name)
def Assert(condition, data, summarize=None, name=None): """Asserts that the given condition is true. If `condition` evaluates to false, print the list of tensors in `data`. `summarize` determines how many entries of the tensors to print. Args: condition: The condition to evaluate. data: The tensors to print out when condition is false. summarize: Print this many entries of each tensor. name: A name for this operation (optional). """ return gen_logging_ops._assert(condition, data, summarize, name)
def Foo(x): check = gen_logging_ops._assert(math_ops.greater(x, 0), [x]) with ops.control_dependencies([check]): return x * 2