【Hackathon 9th No.73】add unit tests for graph_opt_backend #3609
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Pull Request Overview
This PR adds comprehensive unit tests for the graph optimization backend, testing various graph optimization modes and CUDA graph configurations to ensure consistent model outputs against a NumPy baseline.
- Introduces a new test file with
TestGrpahOptBackendclass to validate graph optimization functionality - Tests dynamic, static, and CINN graph optimization modes both with and without CUDA graph enabled
- Implements a
TinyModelclass withsupport_graph_optimizationdecorator for testing purposes
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- Fix class name: TestCUDAGrpahSubgraph -> TestCUDAGraphSubgraph
…into test/add_unit_tests_for_graph_opt_backend
…on backend test to eliminate redundant baseline calculations
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…le#3609) * test: add unit tests for graph_opt_backend * refactor(tests): improve graph optimization test structure and readability * fix(tests): correct CUDA graph related typos in test files - Fix class name: TestCUDAGrpahSubgraph -> TestCUDAGraphSubgraph * refactor(test): support attention layer and optimize graph optimization backend test to eliminate redundant baseline calculations * remove some func call --------- Co-authored-by: RAM <[email protected]> Co-authored-by: Tao Luo <[email protected]>
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详细描述：本任务中需要补充功能模块 graph_optimization 的单测
测试内容：添加一个单测，测试Numpy实现(BaseLine)、动态图、静态图、CINN、动态图+CudaGraph、静态图+CudaGraph、CINN+CudaGraph 七种情况下精度正常且能对齐
单测名称：test/graph_optimization/graph_opt_backend.py