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

265 lines
8.8 KiB
C++

// Copyright © Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#include <gtest/gtest.h>
#include <hipdnn_frontend/attributes/RMSNormAttributes.hpp>
TEST(TestRMSNormAttributes, CreateRMSNormAttributes)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
rmsnormAttributes.set_x(std::make_shared<hipdnn_frontend::graph::TensorAttributes>());
rmsnormAttributes.set_y(std::make_shared<hipdnn_frontend::graph::TensorAttributes>());
rmsnormAttributes.set_scale(std::make_shared<hipdnn_frontend::graph::TensorAttributes>());
rmsnormAttributes.set_epsilon(std::make_shared<hipdnn_frontend::graph::TensorAttributes>());
auto inputTensor = rmsnormAttributes.get_x();
inputTensor->set_uid(1)
.set_name("InputTensor")
.set_data_type(hipdnn_frontend::DataType::FLOAT)
.set_dim({1, 2, 3, 4})
.set_stride({5, 6, 7, 8});
auto outputTensor = rmsnormAttributes.get_y();
outputTensor->set_uid(2)
.set_name("OutputTensor")
.set_data_type(hipdnn_frontend::DataType::FLOAT)
.set_dim({1, 2, 3, 4})
.set_stride({5, 6, 7, 8});
auto scaleTensor = rmsnormAttributes.get_scale();
scaleTensor->set_uid(3)
.set_name("ScaleTensor")
.set_data_type(hipdnn_frontend::DataType::FLOAT)
.set_dim({1, 2, 1, 1})
.set_stride({2, 1, 1, 1});
auto epsilonTensor = rmsnormAttributes.get_epsilon();
epsilonTensor->set_uid(4).set_name("EpsilonTensor").set_value(1e-5f);
EXPECT_EQ(inputTensor->get_uid(), 1);
EXPECT_EQ(inputTensor->get_name(), "InputTensor");
EXPECT_EQ(inputTensor->get_data_type(), hipdnn_frontend::DataType::FLOAT);
EXPECT_EQ(inputTensor->get_dim(), (std::vector<int64_t>{1, 2, 3, 4}));
EXPECT_EQ(inputTensor->get_stride(), (std::vector<int64_t>{5, 6, 7, 8}));
EXPECT_EQ(outputTensor->get_uid(), 2);
EXPECT_EQ(outputTensor->get_name(), "OutputTensor");
EXPECT_EQ(scaleTensor->get_uid(), 3);
EXPECT_EQ(scaleTensor->get_name(), "ScaleTensor");
EXPECT_EQ(epsilonTensor->get_uid(), 4);
EXPECT_EQ(epsilonTensor->get_name(), "EpsilonTensor");
}
TEST(TestRMSNormAttributes, SetXWithMove)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
auto xTensor = std::make_shared<hipdnn_frontend::graph::TensorAttributes>();
xTensor->set_uid(1).set_name("XTensor");
auto rawPtr = xTensor.get();
rmsnormAttributes.set_x(std::move(xTensor));
auto retrieved = rmsnormAttributes.get_x();
EXPECT_EQ(retrieved->get_uid(), 1);
EXPECT_EQ(retrieved->get_name(), "XTensor");
EXPECT_EQ(xTensor, nullptr);
EXPECT_EQ(retrieved.get(), rawPtr);
}
TEST(TestRMSNormAttributes, SetScaleWithMove)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
auto scaleTensor = std::make_shared<hipdnn_frontend::graph::TensorAttributes>();
scaleTensor->set_uid(2).set_name("ScaleTensor");
auto rawPtr = scaleTensor.get();
rmsnormAttributes.set_scale(std::move(scaleTensor));
auto retrieved = rmsnormAttributes.get_scale();
EXPECT_EQ(retrieved->get_uid(), 2);
EXPECT_EQ(retrieved->get_name(), "ScaleTensor");
EXPECT_EQ(scaleTensor, nullptr);
EXPECT_EQ(retrieved.get(), rawPtr);
}
TEST(TestRMSNormAttributes, SetEpsilonWithMove)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
auto epsilonTensor = std::make_shared<hipdnn_frontend::graph::TensorAttributes>();
epsilonTensor->set_uid(3).set_name("EpsilonTensor");
auto rawPtr = epsilonTensor.get();
rmsnormAttributes.set_epsilon(std::move(epsilonTensor));
auto retrieved = rmsnormAttributes.get_epsilon();
EXPECT_EQ(retrieved->get_uid(), 3);
EXPECT_EQ(retrieved->get_name(), "EpsilonTensor");
EXPECT_EQ(epsilonTensor, nullptr);
EXPECT_EQ(retrieved.get(), rawPtr);
}
TEST(TestRMSNormAttributes, SetBiasWithMove)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
auto biasTensor = std::make_shared<hipdnn_frontend::graph::TensorAttributes>();
biasTensor->set_uid(5).set_name("BiasTensor");
auto rawPtr = biasTensor.get();
rmsnormAttributes.set_bias(std::move(biasTensor));
auto retrieved = rmsnormAttributes.get_bias();
EXPECT_EQ(retrieved->get_uid(), 5);
EXPECT_EQ(retrieved->get_name(), "BiasTensor");
EXPECT_EQ(biasTensor, nullptr);
EXPECT_EQ(retrieved.get(), rawPtr);
}
TEST(TestRMSNormAttributes, SetYWithMove)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
auto yTensor = std::make_shared<hipdnn_frontend::graph::TensorAttributes>();
yTensor->set_uid(4).set_name("YTensor");
auto rawPtr = yTensor.get();
rmsnormAttributes.set_y(std::move(yTensor));
auto retrieved = rmsnormAttributes.get_y();
EXPECT_EQ(retrieved->get_uid(), 4);
EXPECT_EQ(retrieved->get_name(), "YTensor");
EXPECT_EQ(yTensor, nullptr);
EXPECT_EQ(retrieved.get(), rawPtr);
}
TEST(TestRMSNormAttributes, SetInvRmsWithMove)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
auto invRmsTensor = std::make_shared<hipdnn_frontend::graph::TensorAttributes>();
invRmsTensor->set_uid(5).set_name("InvRmsTensor");
auto rawPtr = invRmsTensor.get();
rmsnormAttributes.set_inv_rms(std::move(invRmsTensor));
auto retrieved = rmsnormAttributes.get_inv_rms();
EXPECT_EQ(retrieved->get_uid(), 5);
EXPECT_EQ(retrieved->get_name(), "InvRmsTensor");
EXPECT_EQ(invRmsTensor, nullptr);
EXPECT_EQ(retrieved.get(), rawPtr);
}
TEST(TestRMSNormAttributes, InvRmsIsOptional)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
rmsnormAttributes.set_x(std::make_shared<hipdnn_frontend::graph::TensorAttributes>());
rmsnormAttributes.set_scale(std::make_shared<hipdnn_frontend::graph::TensorAttributes>());
rmsnormAttributes.set_epsilon(std::make_shared<hipdnn_frontend::graph::TensorAttributes>());
rmsnormAttributes.set_y(std::make_shared<hipdnn_frontend::graph::TensorAttributes>());
// inv_rms should be null when not set
EXPECT_EQ(rmsnormAttributes.get_inv_rms(), nullptr);
}
TEST(TestRMSNormAttributes, BiasIsOptional)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
rmsnormAttributes.set_x(std::make_shared<hipdnn_frontend::graph::TensorAttributes>());
rmsnormAttributes.set_scale(std::make_shared<hipdnn_frontend::graph::TensorAttributes>());
rmsnormAttributes.set_epsilon(std::make_shared<hipdnn_frontend::graph::TensorAttributes>());
rmsnormAttributes.set_y(std::make_shared<hipdnn_frontend::graph::TensorAttributes>());
// bias should be null when not set
EXPECT_EQ(rmsnormAttributes.get_bias(), nullptr);
}
TEST(TestRMSNormAttributes, TypeAliasWorks)
{
// Verify the compatibility alias compiles and works
hipdnn_frontend::graph::Rmsnorm_attributes rmsnormAttributes;
rmsnormAttributes.set_x(std::make_shared<hipdnn_frontend::graph::TensorAttributes>());
EXPECT_NE(rmsnormAttributes.get_x(), nullptr);
}
// Simplified move tests
TEST(TestRMSNormAttributes, SimplifiedSetXWithMove)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
auto xTensor = std::make_shared<hipdnn_frontend::graph::TensorAttributes>();
rmsnormAttributes.set_x(std::move(xTensor));
EXPECT_NE(rmsnormAttributes.get_x(), nullptr);
}
TEST(TestRMSNormAttributes, SimplifiedSetScaleWithMove)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
auto scaleTensor = std::make_shared<hipdnn_frontend::graph::TensorAttributes>();
rmsnormAttributes.set_scale(std::move(scaleTensor));
EXPECT_NE(rmsnormAttributes.get_scale(), nullptr);
}
TEST(TestRMSNormAttributes, SimplifiedSetEpsilonWithMove)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
auto epsilonTensor = std::make_shared<hipdnn_frontend::graph::TensorAttributes>();
rmsnormAttributes.set_epsilon(std::move(epsilonTensor));
EXPECT_NE(rmsnormAttributes.get_epsilon(), nullptr);
}
TEST(TestRMSNormAttributes, SimplifiedSetYWithMove)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
auto yTensor = std::make_shared<hipdnn_frontend::graph::TensorAttributes>();
rmsnormAttributes.set_y(std::move(yTensor));
EXPECT_NE(rmsnormAttributes.get_y(), nullptr);
}
TEST(TestRMSNormAttributes, SimplifiedSetInvRmsWithMove)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
auto invRmsTensor = std::make_shared<hipdnn_frontend::graph::TensorAttributes>();
rmsnormAttributes.set_inv_rms(std::move(invRmsTensor));
EXPECT_NE(rmsnormAttributes.get_inv_rms(), nullptr);
}
TEST(TestRMSNormAttributes, SimplifiedSetBiasWithMove)
{
hipdnn_frontend::graph::RMSNormAttributes rmsnormAttributes;
auto biasTensor = std::make_shared<hipdnn_frontend::graph::TensorAttributes>();
rmsnormAttributes.set_bias(std::move(biasTensor));
EXPECT_NE(rmsnormAttributes.get_bias(), nullptr);
}