Type LoggingTensorHook
Namespace tensorflow.train
Parent SessionRunHook
Interfaces ILoggingTensorHook
Prints the given tensors every N local steps, every N seconds, or at end. The tensors will be printed to the log, with `INFO` severity. If you are not
seeing the logs, you might want to add the following line after your imports:
Note that if `at_end` is True, `tensors` should not include any tensor
whose evaluation produces a side effect such as consuming additional inputs.
Show Example
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.INFO)
Methods
Properties
Public static methods
LoggingTensorHook NewDyn(object tensors, object every_n_iter, object every_n_secs, ImplicitContainer<T> at_end, object formatter)
Initializes a `LoggingTensorHook`.
Parameters
-
objecttensors - `dict` that maps string-valued tags to tensors/tensor names, or `iterable` of tensors/tensor names.
-
objectevery_n_iter - `int`, print the values of `tensors` once every N local steps taken on the current worker.
-
objectevery_n_secs - `int` or `float`, print the values of `tensors` once every N seconds. Exactly one of `every_n_iter` and `every_n_secs` should be provided.
-
ImplicitContainer<T>at_end - `bool` specifying whether to print the values of `tensors` at the end of the run.
-
objectformatter - function, takes dict of `tag`->`Tensor` and returns a string. If `None` uses default printing all tensors.