ggml_snapshot_free: Release a Snapshot Made by a Trainer

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Release a Snapshot Made by a Trainer

Description

Frees the weights buffer and scheduler of a model returned by a ggml_trainer's $snapshot(). Calling it twice is harmless. The snapshot must not be used afterwards.

Usage

ggml_snapshot_free(model)

Arguments

model

A snapshot from $snapshot()

Value

NULL, invisibly.

See Also

ggml_trainer

Other optimization: ggml_fit_opt(), ggml_fit_opt_gen(), ggml_fit_opt_multi(), ggml_opt_alloc(), ggml_opt_context_optimizer_type(), ggml_opt_dataset_data(), ggml_opt_dataset_free(), ggml_opt_dataset_get_batch(), ggml_opt_dataset_get_batch_head(), ggml_opt_dataset_init(), ggml_opt_dataset_labels(), ggml_opt_dataset_ndata(), ggml_opt_dataset_shuffle(), ggml_opt_dataset_weights(), ggml_opt_default_params(), ggml_opt_epoch(), ggml_opt_eval(), ggml_opt_fit(), ggml_opt_fit_multi(), ggml_opt_free(), ggml_opt_get_lr(), ggml_opt_grad_acc(), ggml_opt_init(), ggml_opt_init_for_fit(), ggml_opt_init_for_fit_multi(), ggml_opt_inputs(), ggml_opt_labels(), ggml_opt_loss(), ggml_opt_loss_i(), ggml_opt_loss_type_binary_cross_entropy(), ggml_opt_loss_type_cross_entropy(), ggml_opt_loss_type_huber(), ggml_opt_loss_type_mae(), ggml_opt_loss_type_mean(), ggml_opt_loss_type_mse(), ggml_opt_loss_type_sum(), ggml_opt_loss_type_weighted_mse(), ggml_opt_n_loss(), ggml_opt_ncorrect(), ggml_opt_optimizer_name(), ggml_opt_optimizer_type_adamw(), ggml_opt_optimizer_type_sgd(), ggml_opt_outputs(), ggml_opt_outputs_i(), ggml_opt_pred(), ggml_opt_prepare_alloc(), ggml_opt_reset(), ggml_opt_result_accuracy(), ggml_opt_result_free(), ggml_opt_result_init(), ggml_opt_result_loss(), ggml_opt_result_loss_i(), ggml_opt_result_n_loss(), ggml_opt_result_ndata(), ggml_opt_result_pred(), ggml_opt_result_reset(), ggml_opt_set_lr(), ggml_opt_static_graphs(), ggml_trainer()

ggmlR documentation built on Oct. 23, 2026, 1:07 a.m.