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[WIP][NPUW] Add tests on set_tensor() #32097
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624f2dd
WIP
smirnov-alexey 4a44063
Merge branch 'master' of https://github.com/openvinotoolkit/openvino …
smirnov-alexey 485e200
Use mock plugin to create npuw infer request class
smirnov-alexey cb4ae04
WIP
smirnov-alexey 61d40cc
Make unit tests buildable
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,74 @@ | ||
| // Copyright (C) 2025 Intel Corporation | ||
| // SPDX-License-Identifier: Apache-2.0 | ||
| // | ||
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| #include <gtest/gtest.h> | ||
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| #include <iostream> | ||
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| #include "openvino/openvino.hpp" | ||
| #include "npuw/compiled_model.hpp" | ||
| #include "npuw/just_sync_infer_request.hpp" | ||
| #include "model_generator/model_generator.hpp" | ||
| #include "plugin.hpp" | ||
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| // FIXME: parametrize all the tests below | ||
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| // TODO: add tests on Unfold, Base and Just for inputs and outputs (where applicable) | ||
| TEST(SetTensor, RemoteTensorOutputJust) { | ||
| // Only run this test on NPU device | ||
| ov::Core ov_core; | ||
| auto core_devices = ov_core.get_available_devices(); | ||
| if (std::find(core_devices.begin(), core_devices.end(), "NPU") == core_devices.end()) { | ||
| GTEST_SKIP() << "No available devices."; | ||
| } | ||
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| // Create model | ||
| ModelGenerator mg; | ||
| auto model = mg.get_model_with_repeated_blocks(); | ||
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| ov::element::Type element_type = ov::element::i32; | ||
| auto output_tensor_shape = model->outputs()[0].get_shape(); | ||
| // Calculate total number of elements | ||
| size_t total_elements = ov::shape_size(output_tensor_shape); | ||
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| // Create output data | ||
| std::vector<int> data = std::vector<int>(total_elements, 0); | ||
| std::iota(data.begin(), data.end(), 1); | ||
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| // Create the remote tensor output | ||
| auto npu_context = ov_core.get_default_context("NPU"); | ||
| auto output = npu_context.create_host_tensor(element_type, output_tensor_shape); | ||
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| // Initialize remote input with non-zero data | ||
| ov::Tensor values(element_type, output_tensor_shape, data.data()); | ||
| values.copy_to(output); | ||
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| // Create plugin object | ||
| auto plugin = std::make_shared<intel_npu::Plugin>(); | ||
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| // Compile NPUW | ||
| auto compiled = std::make_shared<ov::npuw::CompiledModel>(model, plugin, ov::AnyMap{}); | ||
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| // Create infer request | ||
| std::shared_ptr<ov::ISyncInferRequest> request; | ||
| request = std::make_shared<ov::npuw::JustInferRequest>(compiled); | ||
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| // Set remote io | ||
| request->set_tensor(compiled->outputs()[0], ov::get_tensor_impl(output)); | ||
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| // Check output tensor is not zero | ||
| auto output_tensor = request->get_tensor(compiled->outputs()[0]); | ||
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| auto check_non_zero = [](const ov::npuw::util::TensorPtr& t, size_t size) { | ||
| int32_t* tdata = t->data<int32_t>(); | ||
| for (size_t i = 0; i < size; ++i) { | ||
| if (tdata[i] == 0) { | ||
| return false; | ||
| } | ||
| } | ||
| return true; | ||
| }; | ||
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| EXPECT_TRUE(check_non_zero(output_tensor, total_elements)); | ||
| } | ||
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Alternative idea how to test
set_tensor: