3655069234
This commit moves FuncOp out of the builtin dialect, and into the Func dialect. This move has been planned in some capacity from the moment we made FuncOp an operation (years ago). This commit handles the functional aspects of the move, but various aspects are left untouched to ease migration: func::FuncOp is re-exported into mlir to reduce the actual API churn, the assembly format still accepts the unqualified `func`. These temporary measures will remain for a little while to simplify migration before being removed. Differential Revision: https://reviews.llvm.org/D121266
MLIR-PyTACO: Implementing PyTACO with MLIR
TACO (http://tensor-compiler.org/) is a tensor algebra compiler. TACO defines PyTACO, a domain specific language in Python, for writing tensor algebra applications.
This directory contains the implementation of PyTACO using MLIR. In particular, we implement a Python layer that accepts the PyTACO language, generates MLIR linalg.generic OPs with sparse tensor annotation to represent the tensor computation, and invokes the MLIR sparse tensor code generator (https://mlir.llvm.org/docs/Dialects/SparseTensorOps/) as well as other MLIR compilation passes to generate an executable. Then, we invoke the MLIR execution engine to execute the program and pass the result back to the Python layer.
As can be seen from the tests in this directory, in order to port a PyTACO program to MLIR-PyTACO, we basically only need to replace this line that imports PyTACO:
import pytaco as pt
with this line to import MLIR-PyTACO:
from tools import mlir_pytaco_api as pt