153d324bcf
* llama: add new default load-mode auto which picks mmap unless a non-Metal iGPU is used * Update ggml/src/ggml-hexagon/ggml-hexagon.cpp Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com> * set mmap_support to false on OpenCL backend * fix order of load modes * use -1 for auto * resolve load mode auto earlier to correctly pick gpu host or cpu memory * add load mode auto to llama-bench * bump virtgpu api version, regenerate docs --------- Co-authored-by: Piotr Wilkin (ilintar) <piotr.wilkin@syndatis.com> Co-authored-by: Max Krasnyansky <maxk@qti.qualcomm.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
55 lines
3.6 KiB
C
55 lines
3.6 KiB
C
#pragma once
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/* device */
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void apir_device_get_device_count(struct virtgpu * gpu);
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int apir_device_get_count(struct virtgpu * gpu);
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char * apir_device_get_name(struct virtgpu * gpu);
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char * apir_device_get_description(struct virtgpu * gpu);
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uint32_t apir_device_get_type(struct virtgpu * gpu);
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void apir_device_get_memory(struct virtgpu * gpu, size_t * free, size_t * total);
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bool apir_device_supports_op(struct virtgpu * gpu, const ggml_tensor * op);
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apir_buffer_type_host_handle_t apir_device_get_buffer_type(struct virtgpu * gpu);
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void apir_device_get_props(struct virtgpu * gpu,
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bool * async,
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bool * host_buffer,
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bool * buffer_from_host_ptr,
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bool * events,
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bool * mmap_support);
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apir_buffer_context_t apir_device_buffer_from_ptr(struct virtgpu * gpu, size_t size, size_t max_tensor_size);
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/* buffer-type */
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char * apir_buffer_type_get_name(struct virtgpu * gpu, apir_buffer_type_host_handle_t host_handle);
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size_t apir_buffer_type_get_alignment(struct virtgpu * gpu, apir_buffer_type_host_handle_t host_handle);
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size_t apir_buffer_type_get_max_size(struct virtgpu * gpu, apir_buffer_type_host_handle_t host_handle);
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/* apir_buffer_type_is_host is deprecated. */
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apir_buffer_context_t apir_buffer_type_alloc_buffer(struct virtgpu * gpu,
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apir_buffer_type_host_handle_t host_handle,
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size_t size);
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size_t apir_buffer_type_get_alloc_size(struct virtgpu * gpu,
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apir_buffer_type_host_handle_t host_handle,
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const ggml_tensor * op);
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/* buffer */
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void * apir_buffer_get_base(struct virtgpu * gpu, apir_buffer_context_t * buffer_context);
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void apir_buffer_set_tensor(struct virtgpu * gpu,
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apir_buffer_context_t * buffer_context,
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ggml_tensor * tensor,
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const void * data,
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size_t offset,
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size_t size);
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void apir_buffer_get_tensor(struct virtgpu * gpu,
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apir_buffer_context_t * buffer_context,
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const ggml_tensor * tensor,
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void * data,
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size_t offset,
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size_t size);
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bool apir_buffer_cpy_tensor(struct virtgpu * gpu,
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apir_buffer_context_t * buffer_context,
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const ggml_tensor * src,
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const ggml_tensor * dst);
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void apir_buffer_clear(struct virtgpu * gpu, apir_buffer_context_t * buffer_context, uint8_t value);
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void apir_buffer_free_buffer(struct virtgpu * gpu, apir_buffer_context_t * buffer_context);
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/* backend */
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ggml_status apir_backend_graph_compute(struct virtgpu * gpu, ggml_cgraph * cgraph);
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