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ggmlR (version 0.6.1)

ggml_backend_tensor_set_async: Set tensor data asynchronously

Description

Set tensor data asynchronously

Usage

ggml_backend_tensor_set_async(backend, tensor, data, offset = 0, size = NULL)

Value

NULL invisibly

Arguments

backend

External pointer to backend

tensor

External pointer to tensor

data

Numeric or integer vector

offset

Byte offset (default 0)

size

Number of bytes to copy

See Also

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_get_async(), ggml_backend_unload()