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

381 lines
13 KiB
C++

// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#include <gtest/gtest.h>
#include <hipdnn_frontend/Error.hpp>
#include <hipdnn_frontend/attributes/BlockScaleDequantizeAttributes.hpp>
#include <hipdnn_frontend/node/BlockScaleDequantizeNode.hpp>
using namespace hipdnn_frontend;
using namespace hipdnn_frontend::graph;
TEST(TestBlockScaleDequantizeNode, PreValidateNode)
{
BlockScaleDequantizeAttributes attrs;
auto xTensor = std::make_shared<TensorAttributes>();
xTensor->set_dim({2, 64, 32, 32}).set_stride({65536, 1024, 32, 1});
attrs.set_x(xTensor);
auto scaleTensor = std::make_shared<TensorAttributes>();
scaleTensor->set_dim({2, 2, 32, 32});
attrs.set_scale(scaleTensor);
auto yTensor = std::make_shared<TensorAttributes>();
yTensor->set_is_virtual(true);
attrs.set_y(yTensor);
attrs.set_block_size(std::vector<int32_t>{32});
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::OK);
}
TEST(TestBlockScaleDequantizeNode, PreValidateNodeMissingX)
{
BlockScaleDequantizeAttributes attrs;
attrs.set_scale(std::make_shared<TensorAttributes>());
attrs.set_y(std::make_shared<TensorAttributes>());
attrs.set_block_size(std::vector<int32_t>{32});
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::ATTRIBUTE_NOT_SET);
}
TEST(TestBlockScaleDequantizeNode, PreValidateNodeMissingScale)
{
BlockScaleDequantizeAttributes attrs;
attrs.set_x(std::make_shared<TensorAttributes>());
attrs.set_y(std::make_shared<TensorAttributes>());
attrs.set_block_size(std::vector<int32_t>{32});
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::ATTRIBUTE_NOT_SET);
}
TEST(TestBlockScaleDequantizeNode, PreValidateNodeMissingY)
{
BlockScaleDequantizeAttributes attrs;
attrs.set_x(std::make_shared<TensorAttributes>());
attrs.set_scale(std::make_shared<TensorAttributes>());
attrs.set_block_size(std::vector<int32_t>{32});
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::ATTRIBUTE_NOT_SET);
}
TEST(TestBlockScaleDequantizeNode, PreValidateNodeYNotVirtual)
{
BlockScaleDequantizeAttributes attrs;
auto xTensor = std::make_shared<TensorAttributes>();
xTensor->set_dim({2, 64, 32, 32}).set_stride({65536, 1024, 32, 1});
attrs.set_x(xTensor);
attrs.set_scale(std::make_shared<TensorAttributes>());
attrs.set_y(std::make_shared<TensorAttributes>()); // Not virtual
attrs.set_block_size(std::vector<int32_t>{32});
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::INVALID_VALUE);
}
TEST(TestBlockScaleDequantizeNode, PreValidateNodeMissingBlockSize)
{
BlockScaleDequantizeAttributes attrs;
attrs.set_x(std::make_shared<TensorAttributes>());
attrs.set_scale(std::make_shared<TensorAttributes>());
auto yTensor = std::make_shared<TensorAttributes>();
yTensor->set_is_virtual(true);
attrs.set_y(yTensor);
// block_size is not set (empty)
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::ATTRIBUTE_NOT_SET);
}
TEST(TestBlockScaleDequantizeNode, PreValidateNodeYShapeMismatch)
{
BlockScaleDequantizeAttributes attrs;
auto xTensor = std::make_shared<TensorAttributes>();
xTensor->set_dim({2, 64, 32, 32});
attrs.set_x(xTensor);
auto scaleTensor = std::make_shared<TensorAttributes>();
scaleTensor->set_dim({2, 2, 32, 32});
attrs.set_scale(scaleTensor);
auto yTensor = std::make_shared<TensorAttributes>();
yTensor->set_dim({2, 64, 16, 16}).set_is_virtual(true); // Mismatched dims
attrs.set_y(yTensor);
attrs.set_block_size(std::vector<int32_t>{32});
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::INVALID_VALUE);
}
TEST(TestBlockScaleDequantizeNode, PreValidateNodeYRankMismatch)
{
BlockScaleDequantizeAttributes attrs;
auto xTensor = std::make_shared<TensorAttributes>();
xTensor->set_dim({2, 64, 32, 32});
attrs.set_x(xTensor);
auto scaleTensor = std::make_shared<TensorAttributes>();
attrs.set_scale(scaleTensor);
auto yTensor = std::make_shared<TensorAttributes>();
yTensor->set_dim({2, 64, 32}).set_is_virtual(true); // Different rank
attrs.set_y(yTensor);
attrs.set_block_size(std::vector<int32_t>{32});
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::INVALID_VALUE);
}
TEST(TestBlockScaleDequantizeNode, PreValidateNodeYDimsNotSetPassesValidation)
{
// When Y dims are not set, shape match is skipped (will be inferred later)
BlockScaleDequantizeAttributes attrs;
auto xTensor = std::make_shared<TensorAttributes>();
xTensor->set_dim({2, 64, 32, 32});
attrs.set_x(xTensor);
auto scaleTensor = std::make_shared<TensorAttributes>();
attrs.set_scale(scaleTensor);
auto yTensor = std::make_shared<TensorAttributes>();
yTensor->set_is_virtual(true); // No dims set
attrs.set_y(yTensor);
attrs.set_block_size(std::vector<int32_t>{32});
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::OK);
}
TEST(TestBlockScaleDequantizeNode, PreValidateNodeBlockSizeZero)
{
BlockScaleDequantizeAttributes attrs;
auto xTensor = std::make_shared<TensorAttributes>();
xTensor->set_dim({2, 64, 32, 32});
attrs.set_x(xTensor);
attrs.set_scale(std::make_shared<TensorAttributes>());
auto yTensor = std::make_shared<TensorAttributes>();
yTensor->set_is_virtual(true);
attrs.set_y(yTensor);
attrs.set_block_size(std::vector<int32_t>{0});
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::INVALID_VALUE);
}
TEST(TestBlockScaleDequantizeNode, PreValidateNodeBlockSizeNegative)
{
BlockScaleDequantizeAttributes attrs;
auto xTensor = std::make_shared<TensorAttributes>();
xTensor->set_dim({2, 64, 32, 32});
attrs.set_x(xTensor);
attrs.set_scale(std::make_shared<TensorAttributes>());
auto yTensor = std::make_shared<TensorAttributes>();
yTensor->set_is_virtual(true);
attrs.set_y(yTensor);
attrs.set_block_size(std::vector<int32_t>{32, -1});
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::INVALID_VALUE);
}
TEST(TestBlockScaleDequantizeNode, PreValidateNodeBlockSizeExceedsRank)
{
BlockScaleDequantizeAttributes attrs;
auto xTensor = std::make_shared<TensorAttributes>();
xTensor->set_dim({2, 64}); // rank 2
attrs.set_x(xTensor);
attrs.set_scale(std::make_shared<TensorAttributes>());
auto yTensor = std::make_shared<TensorAttributes>();
yTensor->set_is_virtual(true);
attrs.set_y(yTensor);
attrs.set_block_size(std::vector<int32_t>{32, 16, 8}); // 3 entries > rank 2
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::INVALID_VALUE);
}
TEST(TestBlockScaleDequantizeNode, PreValidateNodeBlockSizeMatchesRank)
{
BlockScaleDequantizeAttributes attrs;
auto xTensor = std::make_shared<TensorAttributes>();
xTensor->set_dim({2, 64, 32, 32});
attrs.set_x(xTensor);
attrs.set_scale(std::make_shared<TensorAttributes>());
auto yTensor = std::make_shared<TensorAttributes>();
yTensor->set_is_virtual(true);
attrs.set_y(yTensor);
attrs.set_block_size(std::vector<int32_t>{2, 64, 32, 32}); // exactly matches rank
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::OK);
}
TEST(TestBlockScaleDequantizeNode, PreValidateNodeXDimsNotSetSkipsDimChecks)
{
// When X dims are not set, dimension-dependent checks are skipped
BlockScaleDequantizeAttributes attrs;
attrs.set_x(std::make_shared<TensorAttributes>()); // No dims
attrs.set_scale(std::make_shared<TensorAttributes>());
auto yTensor = std::make_shared<TensorAttributes>();
yTensor->set_is_virtual(true);
attrs.set_y(yTensor);
attrs.set_block_size(std::vector<int32_t>{32, 16, 8}); // Would fail if X had rank < 3
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.pre_validate_node();
EXPECT_EQ(error.code, ErrorCode::OK);
}
TEST(TestBlockScaleDequantizeNode, InferPropertiesNode)
{
BlockScaleDequantizeAttributes attrs;
attrs.set_x(std::make_shared<TensorAttributes>());
attrs.set_scale(std::make_shared<TensorAttributes>());
attrs.set_y(std::make_shared<TensorAttributes>());
attrs.set_block_size(std::vector<int32_t>{32});
auto inputTensor = attrs.get_x();
inputTensor->set_uid(1)
.set_name("InputTensor")
.set_data_type(DataType::FLOAT)
.set_dim({1, 2, 3, 4})
.set_stride({5, 6, 7, 8});
auto outputTensor = attrs.get_y();
outputTensor->set_uid(2).set_name("OutputTensor");
const GraphAttributes graphAttributes;
BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.infer_properties_node();
EXPECT_EQ(error.code, ErrorCode::OK);
EXPECT_EQ(outputTensor->get_dim(), (std::vector<int64_t>{1, 2, 3, 4}));
EXPECT_EQ(outputTensor->get_stride(), (std::vector<int64_t>{5, 6, 7, 8}));
}
TEST(TestBlockScaleDequantizeNode, InferPropertiesNodeMissingX)
{
BlockScaleDequantizeAttributes attrs;
attrs.set_y(std::make_shared<TensorAttributes>());
const GraphAttributes graphAttributes;
BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.infer_properties_node();
EXPECT_EQ(error.code, ErrorCode::ATTRIBUTE_NOT_SET);
}
TEST(TestBlockScaleDequantizeNode, InferPropertiesNodeMissingY)
{
BlockScaleDequantizeAttributes attrs;
attrs.set_x(std::make_shared<TensorAttributes>());
const GraphAttributes graphAttributes;
BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
auto error = node.infer_properties_node();
EXPECT_EQ(error.code, ErrorCode::ATTRIBUTE_NOT_SET);
}
TEST(TestBlockScaleDequantizeNode, GatherHipdnnTensors)
{
BlockScaleDequantizeAttributes attrs;
auto xTensor = std::make_shared<TensorAttributes>();
xTensor->set_uid(1).set_name("X");
attrs.set_x(xTensor);
auto scaleTensor = std::make_shared<TensorAttributes>();
scaleTensor->set_uid(2).set_name("Scale");
attrs.set_scale(scaleTensor);
auto yTensor = std::make_shared<TensorAttributes>();
yTensor->set_uid(3).set_name("Y");
attrs.set_y(yTensor);
const GraphAttributes graphAttributes;
const BlockScaleDequantizeNode node(std::move(attrs), graphAttributes);
std::unordered_set<std::shared_ptr<TensorAttributes>> allTensors;
node.gather_hipdnn_tensors(allTensors);
EXPECT_TRUE(allTensors.find(xTensor) != allTensors.end());
EXPECT_TRUE(allTensors.find(scaleTensor) != allTensors.end());
EXPECT_TRUE(allTensors.find(yTensor) != allTensors.end());
EXPECT_EQ(allTensors.size(), 3);
}
TEST(TestBlockScaleDequantizeNode, GetNodeTypeReturnsBlockScaleDequantize)
{
const GraphAttributes graphAttrs;
const BlockScaleDequantizeNode node(BlockScaleDequantizeAttributes{}, graphAttrs);
EXPECT_EQ(node.getNodeType(), NodeType::BLOCK_SCALE_DEQUANTIZE);
}