AI-generated Key Takeaways
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The Sparse Tensor Dialect, residing within the MLIR repository, provides infrastructure for representing and processing sparse tensors.
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It offers comprehensive support including header files, a runtime support library, Python bindings, and a C API for integration with external systems.
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The dialect includes a benchmark suite for performance evaluation and a robust testing framework encompassing file checks, end-to-end tests, unit tests, and CAPI/Python binding tests.
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Developers can leverage the Sparse Tensor Dialect to optimize computations involving sparse data structures within the MLIR ecosystem.
Sparse Tensor Dialect is located in MLIR repository.
Header Files
Library and C++ Files
- mlir/lib/Dialect/SparseTensor
- Sparse tensor runtime support library for execution engine
Python Bindings and CAPI
- mlir/include/mlir-c/Dialect/SparseTensor.h
- mlir/lib/Bindings/Python/DialectSparseTensor.cpp (Passes)
- mlir/lib/CAPI/Dialect/SparseTensor.cpp (Passes)
- mlir/python/mlir/dialects/sparse_tensor.py
MLIR Benchmark
Tests
- mlir/test/Dialect/SparseTensor (FileCheck tests)
- mlir/test/Integration/Dialect/SparseTensor (End-to-end tests)
- mlir/unittests/Dialect/SparseTensor (Unit tests)
- mlir/test/CAPI/sparse_tensor.c (CAPI tests)
- mlir/test/python/dialects/sparse_tensor/dialect.py (Python binding tests)