Get tensor data asynchronously
ggml_backend_tensor_get_async(backend, tensor, offset = 0, size)Numeric vector with data
External pointer to backend
External pointer to tensor
Byte offset (default 0)
Number of bytes to read
Other backend:
ggml_backend_buffer_clear(),
ggml_backend_buffer_get_usage(),
ggml_backend_buffer_is_host(),
ggml_backend_buffer_is_multi_buffer(),
ggml_backend_buffer_reset(),
ggml_backend_buffer_set_usage(),
ggml_backend_buffer_usage_any(),
ggml_backend_buffer_usage_compute(),
ggml_backend_buffer_usage_weights(),
ggml_backend_dev_by_name(),
ggml_backend_dev_by_type(),
ggml_backend_dev_count(),
ggml_backend_dev_description(),
ggml_backend_dev_get(),
ggml_backend_dev_get_props(),
ggml_backend_dev_init(),
ggml_backend_dev_memory(),
ggml_backend_dev_name(),
ggml_backend_dev_offload_op(),
ggml_backend_dev_supports_buft(),
ggml_backend_dev_supports_op(),
ggml_backend_dev_type(),
ggml_backend_device_register(),
ggml_backend_device_type_accel(),
ggml_backend_device_type_cpu(),
ggml_backend_device_type_gpu(),
ggml_backend_device_type_igpu(),
ggml_backend_event_free(),
ggml_backend_event_new(),
ggml_backend_event_record(),
ggml_backend_event_synchronize(),
ggml_backend_event_wait(),
ggml_backend_get_device(),
ggml_backend_graph_compute_async(),
ggml_backend_graph_plan_compute(),
ggml_backend_graph_plan_create(),
ggml_backend_graph_plan_free(),
ggml_backend_init_best(),
ggml_backend_init_by_name(),
ggml_backend_init_by_type(),
ggml_backend_load(),
ggml_backend_load_all(),
ggml_backend_multi_buffer_alloc_buffer(),
ggml_backend_multi_buffer_set_usage(),
ggml_backend_reg_by_name(),
ggml_backend_reg_count(),
ggml_backend_reg_dev_count(),
ggml_backend_reg_dev_get(),
ggml_backend_reg_get(),
ggml_backend_reg_name(),
ggml_backend_register(),
ggml_backend_synchronize(),
ggml_backend_tensor_copy_async(),
ggml_backend_tensor_set_async(),
ggml_backend_unload()