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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

103 lines
3.2 KiB
C++

// Copyright © Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#include <gtest/gtest.h>
#include <hipdnn_frontend/Types.hpp>
#include <hipdnn_frontend/attributes/CustomOpAttributes.hpp>
#include <hipdnn_frontend/attributes/GraphAttributes.hpp>
using namespace hipdnn_frontend;
using namespace hipdnn_frontend::graph;
TEST(TestCustomOpAttributes, DefaultValues)
{
const CustomOpAttributes attr;
EXPECT_TRUE(attr.get_name().empty());
EXPECT_TRUE(attr.get_custom_op_id().empty());
EXPECT_EQ(attr.get_compute_data_type(), DataType::NOT_SET);
EXPECT_TRUE(attr.get_inputs().empty());
EXPECT_TRUE(attr.get_outputs().empty());
EXPECT_TRUE(attr.get_data().empty());
}
TEST(TestCustomOpAttributes, SettersAndGetters)
{
CustomOpAttributes attr;
attr.set_name("test_custom_op")
.set_custom_op_id("example.my_add")
.set_compute_data_type(DataType::FLOAT);
EXPECT_EQ(attr.get_name(), "test_custom_op");
EXPECT_EQ(attr.get_custom_op_id(), "example.my_add");
EXPECT_EQ(attr.get_compute_data_type(), DataType::FLOAT);
}
TEST(TestCustomOpAttributes, InputsAndOutputs)
{
auto inputA = std::make_shared<TensorAttributes>();
inputA->set_name("input_a").set_uid(1);
auto inputB = std::make_shared<TensorAttributes>();
inputB->set_name("input_b").set_uid(2);
auto output = std::make_shared<TensorAttributes>();
output->set_name("output").set_uid(3);
CustomOpAttributes attr;
attr.set_inputs({inputA, inputB}).set_outputs({output});
EXPECT_EQ(attr.get_inputs().size(), 2u);
EXPECT_EQ(attr.get_outputs().size(), 1u);
EXPECT_EQ(attr.get_inputs()[0]->get_uid(), 1);
EXPECT_EQ(attr.get_inputs()[1]->get_uid(), 2);
EXPECT_EQ(attr.get_outputs()[0]->get_uid(), 3);
}
TEST(TestCustomOpAttributes, Data)
{
const std::vector<uint8_t> payload = {0x01, 0x02, 0x03, 0xFF};
CustomOpAttributes attr;
attr.set_data(payload);
EXPECT_EQ(attr.get_data(), payload);
}
TEST(TestCustomOpAttributes, FillFromContext)
{
GraphAttributes graphAttrs;
graphAttrs.set_compute_data_type(DataType::FLOAT);
graphAttrs.set_io_data_type(DataType::HALF);
auto inputA = std::make_shared<TensorAttributes>();
inputA->set_uid(1).set_dim({2, 3}).set_stride({3, 1});
auto output = std::make_shared<TensorAttributes>();
output->set_uid(2).set_dim({2, 3}).set_stride({3, 1});
CustomOpAttributes attr;
attr.set_inputs({inputA}).set_outputs({output});
auto err = attr.fill_from_context(graphAttrs);
EXPECT_EQ(err.code, ErrorCode::OK);
EXPECT_EQ(attr.get_compute_data_type(), DataType::FLOAT);
// Tensors should have their data_type filled from graph context
EXPECT_EQ(inputA->get_data_type(), DataType::HALF);
EXPECT_EQ(output->get_data_type(), DataType::HALF);
}
TEST(TestCustomOpAttributes, FillFromContextPreservesExplicitComputeType)
{
GraphAttributes graphAttrs;
graphAttrs.set_compute_data_type(DataType::FLOAT);
CustomOpAttributes attr;
attr.set_compute_data_type(DataType::HALF);
auto err = attr.fill_from_context(graphAttrs);
EXPECT_EQ(err.code, ErrorCode::OK);
EXPECT_EQ(attr.get_compute_data_type(), DataType::HALF);
}