a0615d020a
This commit is part of the migration of towards the new STEA syntax/design. In particular, this commit includes the following changes:
* Renaming compiler-internal functions/methods:
* `SparseTensorEncodingAttr::{getDimLevelType => getLvlTypes}`
* `Merger::{getDimLevelType => getLvlType}` (for consistency)
* `sparse_tensor::{getDimLevelType => buildLevelType}` (to help reduce confusion vs actual getter methods)
* Renaming external facets to match:
* the STEA parser and printer
* the C and Python bindings
* PyTACO
However, the actual renaming of the `DimLevelType` itself (along with all the "dlt" names) will be handled in a separate commit.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D150330
32 lines
914 B
MLIR
32 lines
914 B
MLIR
// RUN: mlir-opt %s -sparse-compiler="vl=8" | FileCheck %s
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#Dense = #sparse_tensor.encoding<{
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lvlTypes = [ "dense", "dense" ]
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}>
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#matvec = {
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indexing_maps = [
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affine_map<(i,j) -> (i,j)>, // A
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affine_map<(i,j) -> (j)>, // b
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affine_map<(i,j) -> (i)> // x (out)
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],
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iterator_types = ["parallel", "reduction"],
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doc = "X(i) += A(i,j) * B(j)"
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}
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// CHECK-LABEL: llvm.func @kernel_matvec
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// CHECK: llvm.intr.vector.reduce.fadd
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func.func @kernel_matvec(%arga: tensor<?x?xf32, #Dense>,
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%argb: tensor<?xf32>,
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%argx: tensor<?xf32>) -> tensor<?xf32> {
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%x = linalg.generic #matvec
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ins(%arga, %argb: tensor<?x?xf32, #Dense>, tensor<?xf32>)
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outs(%argx: tensor<?xf32>) {
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^bb(%a: f32, %b: f32, %x: f32):
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%0 = arith.mulf %a, %b : f32
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%1 = arith.addf %x, %0 : f32
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linalg.yield %1 : f32
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} -> tensor<?xf32>
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return %x : tensor<?xf32>
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}
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