Commit f8c4137
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StableHLO Builder APIs (#2846)
# Declarative MLIR Builder APIs
Goal: Provide a builder that abstracts away the notion of location and
insertion
point for use cases that construct full graphs from C++.
See `MlirBuilderTest.cpp` for examples.
## Usage
The builders look fairly similar to XlaBuilder's declarative style, see
`MlirBuilderTest.cpp` for a few example programs:
```c++
StablehloModuleBuilder mb;
{ // Build Main Func
ScopedBuilderLocation loc(mb.get(), FileLineColLoc(mb.get(), "main.mlir"));
func::FunctionBuilder fb(mb.get(), mb->getLoc(), "main");
auto type4xi64 = RankedTensorType::get({4}, fb.getOpBuilder().getI64Type());
auto arg0 = func::Argument(fb, type4xi64);
auto cst = stablehlo::Constant(fb, 1);
auto add = chlo::BroadcastAdd(arg0, cst);
auto topkAndIndices = chlo::TopK(add, 2);
auto broadcast =
stablehlo::BroadcastInDim(topkAndIndices[0].getType(), cst, {});
auto equal = tosa::Equal(topkAndIndices[0], broadcast);
func::Return(fb, {equal});
}
mb->build()->dump();
// module {
// func.func @main(%arg0: tensor<4xi64>) -> tensor<2xi1> {
// %c = stablehlo.constant dense<1> : tensor<i64>
// %0 = chlo.broadcast_add %arg0, %c : (tensor<4xi64>, tensor<i64>) -> tensor<4xi64>
// %values, %indices = chlo.top_k(%0, k = 2) : tensor<4xi64> -> (tensor<2xi64>, tensor<2xi32>)
// %1 = stablehlo.broadcast_in_dim %c, dims = [] : (tensor<i64>) -> tensor<2xi64>
// %2 = tosa.equal %values, %1 : (tensor<2xi64>, tensor<2xi64>) -> tensor<2xi1>
// return %2 : tensor<2xi1>
// }
// }
```1 parent 937150f commit f8c4137
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