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[GPU] Parse runtime_options from model RT info and apply to config (#…
…27896) Signed-off-by: Vladimir Paramuzov <[email protected]>
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src/plugins/intel_gpu/tests/functional/behavior/properties.cpp
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// Copyright (C) 2024 Intel Corporation | ||
// SPDX-License-Identifier: Apache-2.0 | ||
// | ||
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#include "openvino/runtime/properties.hpp" | ||
#include "base/ov_behavior_test_utils.hpp" | ||
#include "openvino/runtime/core.hpp" | ||
#include "common_test_utils/subgraph_builders/conv_pool_relu.hpp" | ||
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namespace { | ||
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class TestPropertiesGPU : public ::testing::Test { | ||
public: | ||
std::shared_ptr<ov::Model> model; | ||
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void SetUp() override { | ||
SKIP_IF_CURRENT_TEST_IS_DISABLED(); | ||
model = ov::test::utils::make_conv_pool_relu(); | ||
} | ||
}; | ||
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TEST_F(TestPropertiesGPU, NoRTInfo) { | ||
ov::Core core; | ||
ov::Any type; | ||
ov::Any size; | ||
ov::Any scale; | ||
ov::CompiledModel compiled_model; | ||
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OV_ASSERT_NO_THROW(compiled_model = core.compile_model(model, ov::test::utils::DEVICE_GPU)); | ||
OV_ASSERT_NO_THROW(type = compiled_model.get_property(ov::hint::kv_cache_precision)); | ||
OV_ASSERT_NO_THROW(size = compiled_model.get_property(ov::hint::dynamic_quantization_group_size)); | ||
OV_ASSERT_NO_THROW(scale = compiled_model.get_property(ov::hint::activations_scale_factor)); | ||
} | ||
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TEST_F(TestPropertiesGPU, RTInfoPropertiesWithDefault) { | ||
ov::Core core; | ||
ov::Any type; | ||
ov::Any size; | ||
ov::Any scale; | ||
ov::CompiledModel compiled_model; | ||
model->set_rt_info("f16", "runtime_options", ov::hint::kv_cache_precision.name()); | ||
model->set_rt_info("0", "runtime_options", ov::hint::dynamic_quantization_group_size.name()); | ||
model->set_rt_info("8.0", "runtime_options", ov::hint::activations_scale_factor.name()); | ||
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OV_ASSERT_NO_THROW(compiled_model = core.compile_model(model, ov::test::utils::DEVICE_GPU)); | ||
OV_ASSERT_NO_THROW(type = compiled_model.get_property(ov::hint::kv_cache_precision)); | ||
OV_ASSERT_NO_THROW(size = compiled_model.get_property(ov::hint::dynamic_quantization_group_size)); | ||
OV_ASSERT_NO_THROW(scale = compiled_model.get_property(ov::hint::activations_scale_factor)); | ||
ASSERT_EQ(type.as<ov::element::Type>(), ov::element::f16); | ||
ASSERT_EQ(size.as<uint64_t>(), 0); | ||
ASSERT_EQ(scale.as<float>(), 8.0f); | ||
} | ||
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TEST_F(TestPropertiesGPU, RTInfoPropertiesWithUserValuesFromCore) { | ||
ov::Core core; | ||
ov::Any type; | ||
ov::Any size; | ||
ov::Any scale; | ||
ov::CompiledModel compiled_model; | ||
model->set_rt_info("f16", "runtime_options", ov::hint::kv_cache_precision.name()); | ||
model->set_rt_info("0", "runtime_options", ov::hint::dynamic_quantization_group_size.name()); | ||
model->set_rt_info("8.0", "runtime_options", ov::hint::activations_scale_factor.name()); | ||
core.set_property(ov::hint::kv_cache_precision(ov::element::u8)); | ||
core.set_property(ov::hint::dynamic_quantization_group_size(16)); | ||
core.set_property(ov::hint::activations_scale_factor(4.0f)); | ||
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OV_ASSERT_NO_THROW(compiled_model = core.compile_model(model, ov::test::utils::DEVICE_GPU)); | ||
OV_ASSERT_NO_THROW(type = compiled_model.get_property(ov::hint::kv_cache_precision)); | ||
OV_ASSERT_NO_THROW(size = compiled_model.get_property(ov::hint::dynamic_quantization_group_size)); | ||
OV_ASSERT_NO_THROW(scale = compiled_model.get_property(ov::hint::activations_scale_factor)); | ||
ASSERT_EQ(type.as<ov::element::Type>(), ov::element::u8); | ||
ASSERT_EQ(size.as<uint64_t>(), 16); | ||
ASSERT_EQ(scale.as<float>(), 4.0f); | ||
} | ||
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TEST_F(TestPropertiesGPU, RTInfoPropertiesWithUserValuesFromCompileModel) { | ||
ov::Core core; | ||
ov::Any type; | ||
ov::Any size; | ||
ov::Any scale; | ||
ov::CompiledModel compiled_model; | ||
model->set_rt_info("f16", "runtime_options", ov::hint::kv_cache_precision.name()); | ||
model->set_rt_info("0", "runtime_options", ov::hint::dynamic_quantization_group_size.name()); | ||
model->set_rt_info("8.0", "runtime_options", ov::hint::activations_scale_factor.name()); | ||
ov::AnyMap config; | ||
config[ov::hint::kv_cache_precision.name()] = "u8"; | ||
config[ov::hint::dynamic_quantization_group_size.name()] = "16"; | ||
config[ov::hint::activations_scale_factor.name()] = "4.0"; | ||
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OV_ASSERT_NO_THROW(compiled_model = core.compile_model(model, ov::test::utils::DEVICE_GPU, config)); | ||
OV_ASSERT_NO_THROW(type = compiled_model.get_property(ov::hint::kv_cache_precision)); | ||
OV_ASSERT_NO_THROW(size = compiled_model.get_property(ov::hint::dynamic_quantization_group_size)); | ||
OV_ASSERT_NO_THROW(scale = compiled_model.get_property(ov::hint::activations_scale_factor)); | ||
ASSERT_EQ(type.as<ov::element::Type>(), ov::element::u8); | ||
ASSERT_EQ(size.as<uint64_t>(), 16); | ||
ASSERT_EQ(scale.as<float>(), 4.0f); | ||
} | ||
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} // namespace |