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How to use get_iteration_attributes method in autotest

Best Python code snippet using autotest_python

adam_opt.py

Source:adam_opt.py

...553                if self.comm.lasif.has_iteration(self.iteration_name):554                    self.print(555                        f"Iteration {self.iteration_name} exists. Will load its attributes"556                    )557                    self.comm.project.get_iteration_attributes()558                    self.finish_task()559                else:560                    self.prepare_iteration()561            else:562                self.print("Iteration already prepared")563        elif task_name == "compute_gradient":564            if not self.task_dict["finished"]:565                self.comm.project.get_iteration_attributes()566                self.compute_gradient(verbose=verbose)567            else:568                self.print("Gradient already computed")569        elif task_name == "update_model":570            if not self.task_dict["finished"]:571                self.comm.project.get_iteration_attributes()572                self.update_model(verbose=verbose)573            else:574                self.print("Model already updated")575        else:576            raise InversionsonError(f"Task {task_name} is not recognized by AdamOpt")577    def get_new_task(self):578        if self.task_dict["finished"]:579            self._write_new_task()580            self.print(f"New task is: {self.task_dict['task']}", line_above=True)581        else:582            raise InversionsonError(f"Task: {self.task_dict['task']} is not finished.")583    def finish_task(self):584        paths = ["raw_update_path", "model", "raw_gradient_path"]585        if max(self.update_smoothing_length) > 0.0:...

sgd_with_momentum.py

Source:sgd_with_momentum.py

...454                if self.comm.lasif.has_iteration(self.iteration_name):455                    self.print(456                        f"Iteration {self.iteration_name} exists. Will load its attributes"457                    )458                    self.comm.project.get_iteration_attributes()459                    self.finish_task()460                else:461                    self.prepare_iteration()462            else:463                self.print("Iteration already prepared")464        elif task_name == "compute_gradient":465            if not self.task_dict["finished"]:466                self.comm.project.get_iteration_attributes()467                self.compute_gradient(verbose=verbose)468            else:469                self.print("Gradient already computed")470        elif task_name == "update_model":471            if not self.task_dict["finished"]:472                self.comm.project.get_iteration_attributes()473                self.update_model(verbose=verbose)474            else:475                self.print("Model already updated")476        else:477            raise InversionsonError(f"Task {task_name} is not recognized by SGDM")478    def get_new_task(self):479        if self.task_dict["finished"]:480            self._write_new_task()481            self.print(f"New task is: {self.task_dict['task']}", line_above=True)482        else:483            raise InversionsonError(f"Task: {self.task_dict['task']} is not finished.")484    def finish_task(self):485        paths = ["raw_update_path", "model", "smooth_update_path", "raw_gradient_path"]486        complete_checks = [...

rpc_interface.py

Source:rpc_interface.py

...383        models.Test.list_objects(filter_data))384def get_test_attributes(**filter_data):385    return rpc_utils.prepare_for_serialization(386        models.TestAttribute.list_objects(filter_data))387def get_iteration_attributes(**filter_data):388    return rpc_utils.prepare_for_serialization(389        models.IterationAttribute.list_objects(filter_data))390def get_iteration_results(**filter_data):391    return rpc_utils.prepare_for_serialization(392        models.IterationResult.list_objects(filter_data))393def get_interface_version():...

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