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openvino: driver setup, CI split, thread safety, and NPU optimizations (#21944)

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* Thread safety per request only

* Fix ROPE yarn case

* Fix sticky stateful config

* Use i4/i8 directly for symmetric quant

* Use weightless caching

* Add WeightlessCacheAttribute to reduce NPU memory usage

* Gelu tanh support (#125)

* Imrope support (#126)

* fix(openvino): explicit ov::Tensor frees in ggml_backend_openvino_free

* add GPU,NPU support in OV Dockerfile

* add build-openvino.yml ci

* Fix sticky stateful config

* add concurrency to ov-gpu ci runs. Move OV CI to build-openvino.yml

* fix thread-safety of shared runtime context

* rope type abstraction for frontend translations

* fix editorconfig

---------

Co-authored-by: Mustafa Cavus <mustafa.cavus@intel.com>
Co-authored-by: Dan Hoffman <dhoff749@gmail.com>
Co-authored-by: Ravi Panchumarthy <ravi.panchumarthy@intel.com>
This commit is contained in:
Zijun Yu
2026-04-21 18:58:34 +03:00
committed by GitHub
co-authored by Mustafa Cavus Dan Hoffman Ravi Panchumarthy
parent 606fa42f5d
commit 52f1096f21
21 changed files with 820 additions and 541 deletions
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ggml/src/ggml-openvino/ggml-openvino-extra.cpp
+18 -11
View File
@@ -6,6 +6,7 @@
#include <cstring>
#include <openvino/runtime/intel_gpu/ocl/ocl.hpp>
#include <openvino/runtime/intel_npu/level_zero/level_zero.hpp>
#include <openvino/runtime/properties.hpp>
#include <optional>
ov::Core & ov_singleton_core() {
@@ -42,11 +43,13 @@ void ggml_openvino_device_config::init() {
{"NPUW_DQ", "YES" },
{"NPUW_DQ_FULL", "NO" },
};
if (cache_dir) {
if (cache_dir && strlen(cache_dir) > 0) {
compile_config["NPUW_CACHE_DIR"] = cache_dir;
compile_config.insert(ov::cache_mode(ov::CacheMode::OPTIMIZE_SIZE));
}
} else if (cache_dir) {
ov_singleton_core().set_property(ov::cache_dir(cache_dir));
} else if (cache_dir && strlen(cache_dir) > 0) {
compile_config.insert(ov::cache_dir(cache_dir));
compile_config.insert(ov::cache_mode(ov::CacheMode::OPTIMIZE_SIZE));
}
// Initialize remote context with queue sharing for GPU
@@ -259,10 +262,12 @@ ggml_openvino_extracted_layout ggml_openvino_get_extracted_layout(const ggml_ten
layout.weights_size = layout.is_u4 ? (n_elements / 2) : n_elements;
int64_t n_blocks = n_elements / layout.weights_per_block;
layout.scales_size = n_blocks * sizeof(uint16_t);
// For symmetric quantization, we only need one zp value (not one per block)
// Zero points are stored in U4 or U8 format matching the weight type
size_t n_zp_elements = layout.is_symmetric ? 1 : n_blocks;
layout.zp_size = layout.is_u4 ? ((n_zp_elements + 1) / 2) : n_zp_elements;
// For symmetric quantization, no zp needed (weights stored as signed)
if (layout.is_symmetric) {
layout.zp_size = 0;
} else {
layout.zp_size = layout.is_u4 ? ((n_blocks + 1) / 2) : n_blocks;
}
layout.weights_offset = 0;
layout.scales_offset = ((layout.weights_size + alignment - 1) / alignment) * alignment;
@@ -313,10 +318,12 @@ ggml_openvino_extracted_layout ggml_openvino_get_extracted_layout(const ggml_ten
// Scales: F16 per block
int64_t n_blocks = n_elements / layout.weights_per_block;
layout.scales_size = n_blocks * sizeof(uint16_t); // F16 = 2 bytes
// Zero points: U4 or U8 matching weight type
// For symmetric quantization, we only need one zp value (not one per block)
size_t n_zp_elements = layout.is_symmetric ? 1 : n_blocks;
layout.zp_size = layout.is_u4 ? ((n_zp_elements + 1) / 2) : n_zp_elements;
// For symmetric quantization, no zp needed (weights stored as signed)
if (layout.is_symmetric) {
layout.zp_size = 0;
} else {
layout.zp_size = layout.is_u4 ? ((n_blocks + 1) / 2) : n_blocks;
}
// Layout in buffer: [weights | scales | zp] with alignment
layout.weights_offset = 0;