llvm
/
torch-mlir
mirror of https://github.com/llvm/torch-mlir
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity
torch-mlir/test/E2E/e2e-mixed-ranks.mlir

21 lines
873 B
MLIR
Raw Normal View History

Tidy up test/E2E - Make rank1.mlir be the new "basic.mlir", as it is really the simplest case. - Move basic.mlir to mixed-ranks.mlir - Delete starting-from-linalg.mlir, it wasn't really useful anymore.
2020-05-15 05:57:09 +08:00
// RUN: npcomp-opt <%s -pass-pipeline=e2e-lowering-pipeline | FileCheck %s --dump-input=fail
Add ability to run without optimizations. The default is to only do the bare minimum needed for correctness, since that stresses the layering of the system maximally.
2020-06-02 10:30:13 +08:00
// RUN: npcomp-opt <%s -pass-pipeline=e2e-lowering-pipeline{optimize} | FileCheck %s --dump-input=fail
Tidy up test/E2E - Make rank1.mlir be the new "basic.mlir", as it is really the simplest case. - Move basic.mlir to mixed-ranks.mlir - Delete starting-from-linalg.mlir, it wasn't really useful anymore.
2020-05-15 05:57:09 +08:00
// CHECK-LABEL: func @rank1
func @rank1(%arg0: tensor<?xf32>, %arg1: tensor<?xf32>) -> tensor<?xf32> {
%0 = "tcf.add"(%arg0, %arg1) : (tensor<?xf32>, tensor<?xf32>) -> tensor<?xf32>
return %0 : tensor<?xf32>
}
// CHECK-LABEL: func @rank2
func @rank2(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> {
%0 = "tcf.add"(%arg0, %arg1) : (tensor<?x?xf32>, tensor<?x?xf32>) -> tensor<?x?xf32>
return %0 : tensor<?x?xf32>
}
// CHxCK-LABEL: func @rank1and2
func @rank1and2(%arg0: tensor<?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> {
%0 = "tcf.add"(%arg0, %arg1) : (tensor<?xf32>, tensor<?x?xf32>) -> tensor<?x?xf32>
return %0 : tensor<?x?xf32>
}