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311 lines
12 KiB
C++
311 lines
12 KiB
C++
// Copyright © Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#include "DescriptorTestUtils.hpp"
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#include "TensorDescriptorTestUtils.hpp"
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#include "descriptors/GraphDescriptor.hpp"
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#include "descriptors/MatmulOperationDescriptor.hpp"
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#include "descriptors/NodeFactory.hpp"
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#include "descriptors/TensorDescriptor.hpp"
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#include "hipdnn_backend.h"
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#include "mocks/MockHandle.hpp"
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#include <flatbuffers/flatbuffers.h>
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#include <gtest/gtest.h>
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#include <hipdnn_flatbuffers_sdk/data_objects/graph_generated.h>
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#include <hipdnn_flatbuffers_sdk/data_objects/matmul_attributes_generated.h>
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#include <hipdnn_flatbuffers_sdk/data_objects/tensor_attributes_generated.h>
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#include <hipdnn_test_sdk/constants/MatmulConstants.hpp>
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#include <hipdnn_test_sdk/utilities/ToVec.hpp>
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#include <array>
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#include <memory>
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#include <string>
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using namespace hipdnn_backend;
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using namespace hipdnn_backend::test_utilities;
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using namespace hipdnn_flatbuffers_sdk::data_objects;
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using namespace hipdnn_tests::constants;
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using hipdnn_tests::toVec;
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namespace
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{
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inline std::unique_ptr<HipdnnBackendDescriptor>
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createFinalizedMatmulOp(HipdnnBackendDescriptor* aDesc,
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HipdnnBackendDescriptor* bDesc,
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HipdnnBackendDescriptor* cDesc,
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hipdnnDataType_t computeType = HIPDNN_DATA_FLOAT,
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const std::string& name = "")
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{
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auto wrapper = createDescriptor<MatmulOperationDescriptor>();
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auto desc = wrapper->asDescriptor<MatmulOperationDescriptor>();
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desc->setAttribute(HIPDNN_ATTR_OPERATION_MATMUL_ADESC,
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HIPDNN_TYPE_BACKEND_DESCRIPTOR,
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1,
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static_cast<const void*>(&aDesc));
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desc->setAttribute(HIPDNN_ATTR_OPERATION_MATMUL_BDESC,
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HIPDNN_TYPE_BACKEND_DESCRIPTOR,
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1,
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static_cast<const void*>(&bDesc));
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desc->setAttribute(HIPDNN_ATTR_OPERATION_MATMUL_CDESC,
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HIPDNN_TYPE_BACKEND_DESCRIPTOR,
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1,
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static_cast<const void*>(&cDesc));
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desc->setAttribute(HIPDNN_ATTR_MATMUL_COMP_TYPE, HIPDNN_TYPE_DATA_TYPE, 1, &computeType);
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if(!name.empty())
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{
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desc->setAttribute(HIPDNN_ATTR_OPERATION_NAME_EXT,
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HIPDNN_TYPE_CHAR,
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static_cast<int64_t>(name.size()),
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name.data());
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}
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desc->finalize();
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return wrapper;
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}
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} // namespace
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class TestGraphDescriptorMatmul : public ::testing::Test
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{
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public:
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static const TensorAttributesT* findTensorByUid(const GraphT& graphT, int64_t uid)
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{
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for(const auto& tensor : graphT.tensors)
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{
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if(tensor->uid == uid)
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{
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return tensor.get();
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}
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}
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return nullptr;
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}
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static void verifyTensor(const TensorAttributesT* tensor,
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int64_t expectedUid,
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const std::vector<int64_t>& expectedDims,
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const std::vector<int64_t>& expectedStrides,
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DataType expectedDataType,
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bool expectedVirtual = false)
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{
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ASSERT_NE(tensor, nullptr) << "Tensor with UID " << expectedUid << " not found";
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EXPECT_EQ(tensor->uid, expectedUid);
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EXPECT_EQ(tensor->dims, expectedDims);
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EXPECT_EQ(tensor->strides, expectedStrides);
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EXPECT_EQ(tensor->data_type, expectedDataType);
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EXPECT_EQ(tensor->virtual_, expectedVirtual);
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}
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std::shared_ptr<GraphDescriptor> getDescriptor() const
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{
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return _wrapper->asDescriptor<GraphDescriptor>();
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}
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void setHandle() const
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{
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auto desc = getDescriptor();
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hipdnnHandle_t handle = &_mockHandle;
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desc->setAttribute(HIPDNN_ATTR_OPERATIONGRAPH_HANDLE,
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HIPDNN_TYPE_HANDLE,
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1,
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static_cast<const void*>(&handle));
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}
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protected:
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std::unique_ptr<HipdnnBackendDescriptor> _wrapper = nullptr;
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mutable MockHandle _mockHandle;
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void SetUp() override
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{
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_wrapper = createDescriptor<GraphDescriptor>();
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}
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void TearDown() override
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{
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_wrapper.reset();
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}
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};
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TEST_F(TestGraphDescriptorMatmul, BuildFromSingleMatmulOperation)
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{
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auto aDesc = createFinalizedTensor(
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K_MATMUL_TENSOR_A_UID, toVec(K_MATMUL_TENSOR_A_DIMS), toVec(K_MATMUL_TENSOR_A_STRIDES));
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auto bDesc = createFinalizedTensor(
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K_MATMUL_TENSOR_B_UID, toVec(K_MATMUL_TENSOR_B_DIMS), toVec(K_MATMUL_TENSOR_B_STRIDES));
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auto cDesc = createFinalizedTensor(
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K_MATMUL_TENSOR_C_UID, toVec(K_MATMUL_TENSOR_C_DIMS), toVec(K_MATMUL_TENSOR_C_STRIDES));
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auto matmulOp = createFinalizedMatmulOp(aDesc.get(), bDesc.get(), cDesc.get());
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auto desc = getDescriptor();
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setHandle();
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std::array<HipdnnBackendDescriptor*, 1> ops = {matmulOp.get()};
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ASSERT_NO_THROW(desc->setAttribute(HIPDNN_ATTR_OPERATIONGRAPH_OPS,
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HIPDNN_TYPE_BACKEND_DESCRIPTOR,
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1,
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static_cast<const void*>(ops.data())));
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ASSERT_NO_THROW(desc->finalize());
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auto serialized = desc->getSerializedGraph();
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ASSERT_NE(serialized.ptr, nullptr);
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ASSERT_GT(serialized.size, 0UL);
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flatbuffers::Verifier verifier(static_cast<const uint8_t*>(serialized.ptr), serialized.size);
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ASSERT_TRUE(verifier.VerifyBuffer<Graph>());
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auto graphT = UnPackGraph(serialized.ptr);
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ASSERT_EQ(graphT->nodes.size(), 1);
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ASSERT_EQ(graphT->tensors.size(), 3);
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verifyTensor(findTensorByUid(*graphT, K_MATMUL_TENSOR_A_UID),
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K_MATMUL_TENSOR_A_UID,
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toVec(K_MATMUL_TENSOR_A_DIMS),
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toVec(K_MATMUL_TENSOR_A_STRIDES),
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DataType::FLOAT);
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verifyTensor(findTensorByUid(*graphT, K_MATMUL_TENSOR_B_UID),
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K_MATMUL_TENSOR_B_UID,
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toVec(K_MATMUL_TENSOR_B_DIMS),
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toVec(K_MATMUL_TENSOR_B_STRIDES),
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DataType::FLOAT);
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verifyTensor(findTensorByUid(*graphT, K_MATMUL_TENSOR_C_UID),
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K_MATMUL_TENSOR_C_UID,
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toVec(K_MATMUL_TENSOR_C_DIMS),
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toVec(K_MATMUL_TENSOR_C_STRIDES),
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DataType::FLOAT);
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const auto& node = *graphT->nodes[0];
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EXPECT_EQ(node.compute_data_type, DataType::FLOAT);
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ASSERT_EQ(node.attributes.type, NodeAttributes::MatmulAttributes);
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auto* matmulAttrs = node.attributes.AsMatmulAttributes();
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ASSERT_NE(matmulAttrs, nullptr);
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EXPECT_EQ(matmulAttrs->a_tensor_uid, K_MATMUL_TENSOR_A_UID);
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EXPECT_EQ(matmulAttrs->b_tensor_uid, K_MATMUL_TENSOR_B_UID);
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EXPECT_EQ(matmulAttrs->c_tensor_uid, K_MATMUL_TENSOR_C_UID);
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}
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TEST_F(TestGraphDescriptorMatmul, ComputeDataTypePreserved)
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{
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auto aDesc = createFinalizedTensor(K_MATMUL_TENSOR_A_UID,
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toVec(K_MATMUL_TENSOR_A_DIMS),
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toVec(K_MATMUL_TENSOR_A_STRIDES),
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HIPDNN_DATA_HALF);
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auto bDesc = createFinalizedTensor(K_MATMUL_TENSOR_B_UID,
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toVec(K_MATMUL_TENSOR_B_DIMS),
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toVec(K_MATMUL_TENSOR_B_STRIDES),
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HIPDNN_DATA_HALF);
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auto cDesc = createFinalizedTensor(K_MATMUL_TENSOR_C_UID,
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toVec(K_MATMUL_TENSOR_C_DIMS),
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toVec(K_MATMUL_TENSOR_C_STRIDES),
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HIPDNN_DATA_HALF);
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auto matmulOp
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= createFinalizedMatmulOp(aDesc.get(), bDesc.get(), cDesc.get(), HIPDNN_DATA_HALF);
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auto desc = getDescriptor();
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setHandle();
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std::array<HipdnnBackendDescriptor*, 1> ops = {matmulOp.get()};
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ASSERT_NO_THROW(desc->setAttribute(HIPDNN_ATTR_OPERATIONGRAPH_OPS,
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HIPDNN_TYPE_BACKEND_DESCRIPTOR,
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1,
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static_cast<const void*>(ops.data())));
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ASSERT_NO_THROW(desc->finalize());
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auto serialized = desc->getSerializedGraph();
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auto graphT = UnPackGraph(serialized.ptr);
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ASSERT_EQ(graphT->nodes.size(), 1);
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const auto& node = *graphT->nodes[0];
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EXPECT_EQ(node.compute_data_type, DataType::HALF);
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ASSERT_EQ(node.attributes.type, NodeAttributes::MatmulAttributes);
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auto* matmulAttrs = node.attributes.AsMatmulAttributes();
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ASSERT_NE(matmulAttrs, nullptr);
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EXPECT_EQ(matmulAttrs->a_tensor_uid, K_MATMUL_TENSOR_A_UID);
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EXPECT_EQ(matmulAttrs->b_tensor_uid, K_MATMUL_TENSOR_B_UID);
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EXPECT_EQ(matmulAttrs->c_tensor_uid, K_MATMUL_TENSOR_C_UID);
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}
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// Verifies that the operation name set via HIPDNN_ATTR_OPERATION_NAME_EXT is
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// preserved in the serialized FlatBuffer graph node.
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TEST_F(TestGraphDescriptorMatmul, NamePreservedInFlatBuffer)
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{
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auto aDesc = createFinalizedTensor(
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K_MATMUL_TENSOR_A_UID, toVec(K_MATMUL_TENSOR_A_DIMS), toVec(K_MATMUL_TENSOR_A_STRIDES));
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auto bDesc = createFinalizedTensor(
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K_MATMUL_TENSOR_B_UID, toVec(K_MATMUL_TENSOR_B_DIMS), toVec(K_MATMUL_TENSOR_B_STRIDES));
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auto cDesc = createFinalizedTensor(
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K_MATMUL_TENSOR_C_UID, toVec(K_MATMUL_TENSOR_C_DIMS), toVec(K_MATMUL_TENSOR_C_STRIDES));
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const std::string opName = "my_matmul_op";
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auto matmulOp
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= createFinalizedMatmulOp(aDesc.get(), bDesc.get(), cDesc.get(), HIPDNN_DATA_FLOAT, opName);
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auto desc = getDescriptor();
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setHandle();
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std::array<HipdnnBackendDescriptor*, 1> ops = {matmulOp.get()};
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ASSERT_NO_THROW(desc->setAttribute(HIPDNN_ATTR_OPERATIONGRAPH_OPS,
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HIPDNN_TYPE_BACKEND_DESCRIPTOR,
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1,
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static_cast<const void*>(ops.data())));
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ASSERT_NO_THROW(desc->finalize());
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auto serialized = desc->getSerializedGraph();
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auto graphT = UnPackGraph(serialized.ptr);
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ASSERT_EQ(graphT->nodes.size(), 1);
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EXPECT_EQ(graphT->nodes[0]->name, opName);
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}
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// Serializes a named matmul graph, unpacks via NodeFactory, and verifies the
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// operation name and attribute type survive the FlatBuffer → NodeFactory lifting path.
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TEST_F(TestGraphDescriptorMatmul, OperationNameRoundTripThroughLifting)
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{
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auto aDesc = createFinalizedTensor(
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K_MATMUL_TENSOR_A_UID, toVec(K_MATMUL_TENSOR_A_DIMS), toVec(K_MATMUL_TENSOR_A_STRIDES));
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auto bDesc = createFinalizedTensor(
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K_MATMUL_TENSOR_B_UID, toVec(K_MATMUL_TENSOR_B_DIMS), toVec(K_MATMUL_TENSOR_B_STRIDES));
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auto cDesc = createFinalizedTensor(
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K_MATMUL_TENSOR_C_UID, toVec(K_MATMUL_TENSOR_C_DIMS), toVec(K_MATMUL_TENSOR_C_STRIDES));
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const std::string opName = "lift_matmul_name";
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auto matmulOp
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= createFinalizedMatmulOp(aDesc.get(), bDesc.get(), cDesc.get(), HIPDNN_DATA_FLOAT, opName);
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auto desc = getDescriptor();
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setHandle();
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std::array<HipdnnBackendDescriptor*, 1> ops = {matmulOp.get()};
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desc->setAttribute(HIPDNN_ATTR_OPERATIONGRAPH_OPS,
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HIPDNN_TYPE_BACKEND_DESCRIPTOR,
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1,
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static_cast<const void*>(ops.data()));
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desc->finalize();
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// Serialize and deserialize via FlatBuffer
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auto serialized = desc->getSerializedGraph();
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auto graphT = UnPackGraph(serialized.ptr);
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// Rebuild from the deserialized graph using NodeFactory
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auto tensorMap = NodeFactory::buildTensorMap(graphT->tensors);
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ASSERT_EQ(graphT->nodes.size(), 1);
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auto rebuilt = NodeFactory::createOperationFromNode(*graphT->nodes[0], tensorMap);
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ASSERT_NE(rebuilt, nullptr);
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auto* graphOp = rebuilt->asGraphOperation();
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ASSERT_NE(graphOp, nullptr);
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auto rebuiltNode = graphOp->buildNode();
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ASSERT_NE(rebuiltNode, nullptr);
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EXPECT_EQ(rebuiltNode->name, opName);
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ASSERT_EQ(rebuiltNode->attributes.type, NodeAttributes::MatmulAttributes);
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}
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