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Differential D109524

[mlir][sparse] fix broken test
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Authored by aartbik on Sep 9 2021, 9:36 AM.

Details

Reviewers
ftynse
bixia
Commits
rGc34f3780a7f0: [mlir][sparse] fix broken test
Summary

new flag requirements crossed the checkin of this new test

Diff Detail

Event Timeline

aartbik created this revision.Sep 9 2021, 9:36 AM
Herald added subscribers: wenzhicui, wrengr, Chia-hungDuan and 18 others. · View Herald TranscriptSep 9 2021, 9:36 AM
aartbik requested review of this revision.Sep 9 2021, 9:36 AM
Herald added a project: Restricted Project. · View Herald TranscriptSep 9 2021, 9:36 AM
Herald added subscribers: stephenneuendorffer, nicolasvasilache. · View Herald Transcript
aartbik added reviewers: ftynse, bixia.Sep 9 2021, 9:36 AM
ftynse accepted this revision.Sep 9 2021, 9:39 AM
This revision is now accepted and ready to land.Sep 9 2021, 9:39 AM
This revision was landed with ongoing or failed builds.Sep 9 2021, 9:40 AM
Closed by commit rGc34f3780a7f0: [mlir][sparse] fix broken test (authored by aartbik). · Explain Why
This revision was automatically updated to reflect the committed changes.
aartbik added a commit: rGc34f3780a7f0: [mlir][sparse] fix broken test.
Harbormaster completed remote builds in B123247: Diff 371630.Sep 9 2021, 11:01 AM

Revision Contents

PathSize
mlir/
test/
Integration/
Dialect/
SparseTensor/
CPU/
6 lines

Diff 371633

mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_cast.mlir

// RUN: mlir-opt %s \ // RUN: mlir-opt %s \
// RUN: --sparsification --sparse-tensor-conversion \ // RUN: --sparsification --sparse-tensor-conversion \
// RUN: --convert-vector-to-scf --convert-scf-to-std \ // RUN: --convert-vector-to-scf --convert-scf-to-std \
// RUN: --func-bufferize --tensor-constant-bufferize --tensor-bufferize \ // RUN: --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
// RUN: --std-bufferize --finalizing-bufferize --lower-affine \ // RUN: --std-bufferize --finalizing-bufferize --lower-affine \
// RUN: --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm | \ // RUN: --convert-vector-to-llvm --convert-memref-to-llvm \
// RUN: --convert-std-to-llvm --reconcile-unrealized-casts | \
// RUN: mlir-cpu-runner \ // RUN: mlir-cpu-runner \
// RUN: -e entry -entry-point-result=void \ // RUN: -e entry -entry-point-result=void \
// RUN: -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \ // RUN: -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
// RUN: FileCheck %s // RUN: FileCheck %s
// //
// Do the same run, but now with SIMDization as well. This should not change the outcome. // Do the same run, but now with SIMDization as well. This should not change the outcome.
// //
// RUN: mlir-opt %s \ // RUN: mlir-opt %s \
// RUN: --sparsification="vectorization-strategy=2 vl=2 enable-simd-index32" --sparse-tensor-conversion \ // RUN: --sparsification="vectorization-strategy=2 vl=2 enable-simd-index32" --sparse-tensor-conversion \
// RUN: --convert-vector-to-scf --convert-scf-to-std \ // RUN: --convert-vector-to-scf --convert-scf-to-std \
// RUN: --func-bufferize --tensor-constant-bufferize --tensor-bufferize \ // RUN: --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
// RUN: --std-bufferize --finalizing-bufferize --lower-affine \ // RUN: --std-bufferize --finalizing-bufferize --lower-affine \
// RUN: --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm | \ // RUN: --convert-vector-to-llvm --convert-memref-to-llvm \
// RUN: --convert-std-to-llvm --reconcile-unrealized-casts | \
// RUN: TENSOR0="%mlir_integration_test_dir/data/test.mtx" \ // RUN: TENSOR0="%mlir_integration_test_dir/data/test.mtx" \
// RUN: mlir-cpu-runner \ // RUN: mlir-cpu-runner \
// RUN: -e entry -entry-point-result=void \ // RUN: -e entry -entry-point-result=void \
// RUN: -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \ // RUN: -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
// RUN: FileCheck %s // RUN: FileCheck %s
// //
#SV = #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ] }> #SV = #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ] }>
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