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 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
def Foo(x):
check = gen_logging_ops._assert(math_ops.greater(x, 0), [x])
with ops.control_dependencies([check]):
return x * 2
