LostTech.TensorFlow : API Documentation

Type model_analyzer

Namespace tensorflow.contrib.tfprof.model_analyzer

Methods

Properties

Public static methods

object advise(object graph, object run_meta, ImplicitContainer<T> tfprof_options)

Auto profile and advise.

Builds profiles and automatically check anomalies of various aspects. For more details: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/profiler/README.md
Parameters
object graph
tf.Graph. If None and eager execution is not enabled, use default graph.
object run_meta
optional tensorflow.RunMetadata proto. It is necessary to to support run time information profiling, such as time and memory.
ImplicitContainer<T> tfprof_options
Returns
object
Returns AdviceProto proto

object advise_dyn(object graph, object run_meta, ImplicitContainer<T> tfprof_options)

Auto profile and advise.

Builds profiles and automatically check anomalies of various aspects. For more details: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/profiler/README.md
Parameters
object graph
tf.Graph. If None and eager execution is not enabled, use default graph.
object run_meta
optional tensorflow.RunMetadata proto. It is necessary to to support run time information profiling, such as time and memory.
ImplicitContainer<T> tfprof_options
Returns
object
Returns AdviceProto proto

Public properties

PythonFunctionContainer advise_fn get;

IDictionary<string, object> FLOAT_OPS_OPTIONS get; set;

object FLOAT_OPS_OPTIONS_dyn get; set;

IDictionary<string, object> TRAINABLE_VARS_PARAMS_STAT_OPTIONS get; set;

object TRAINABLE_VARS_PARAMS_STAT_OPTIONS_dyn get; set;