io¶

save_vars¶

paddle.v2.fluid.io.save_vars(executor, dirname, main_program=None, vars=None, predicate=None)

Save variables to directory by executor.

Parameters:	executor – executor that save variable dirname – directory path main_program – program. If vars is None, then filter all variables in this

program which fit predicate. Default default_main_program. :param predicate: The Predicate describes a callable that returns a variable as a bool. If it returns true, the variables will be saved. :param vars: variables need to be saved. If specify vars, program & predicate will be ignored :return: None

save_params¶

paddle.v2.fluid.io.save_params(executor, dirname, main_program=None): Save all parameters to directory with executor.

save_persistables¶

paddle.v2.fluid.io.save_persistables(executor, dirname, main_program=None): Save all persistables to directory with executor.

load_vars¶

paddle.v2.fluid.io.load_vars(executor, dirname, main_program=None, vars=None, predicate=None)

Load variables from directory by executor.

Parameters:	executor – executor that save variable dirname – directory path main_program – program. If vars is None, then filter all variables in this

program which fit predicate. Default default_main_program(). :param predicate: The Predicate describes a callable that returns a variable as a bool. If it returns true, the variables will be loaded. :param vars: variables need to be loaded. If specify vars, program & predicate will be ignored :return: None

load_params¶

paddle.v2.fluid.io.load_params(executor, dirname, main_program=None): load all parameters from directory by executor.

load_persistables¶

paddle.v2.fluid.io.load_persistables(executor, dirname, main_program=None): load all persistables from directory by executor.

save_inference_model¶

paddle.v2.fluid.io.save_inference_model(dirname, feeded_var_names, target_vars, executor, main_program=None)

Build a model especially for inference, and save it to directory by the executor.

Parameters:	dirname – directory path feeded_var_names – Names of variables that need to be feeded data during inference target_vars – Variables from which we can get inference results. executor – executor that save inference model main_program – original program, which will be pruned to build the inference model. Default default_main_program().
Returns:	None

load_inference_model¶

paddle.v2.fluid.io.load_inference_model(dirname, executor)

Load inference model from a directory

Parameters:	dirname – directory path executor – executor that load inference model
Returns:	[program, feed_target_names, fetch_targets] program: program especially for inference. feed_target_names: Names of variables that need to feed data fetch_targets: Variables from which we can get inference results.

get_inference_program¶

paddle.v2.fluid.io.get_inference_program(target_vars, main_program=None)