[clang] [libcxx] [llvm] [mlir] [mlir][sparse][CRunnerUtils] Add shuffle in CRunnerUtils (PR #77124)

2024-01-05 Thread Aart Bik via cfe-commits 


@@ -486,6 +486,10 @@ extern "C" MLIR_CRUNNERUTILS_EXPORT void *rtsrand(uint64_t 
s);
 extern "C" MLIR_CRUNNERUTILS_EXPORT uint64_t rtrand(void *, uint64_t m);
 // Deletes the random number generator.
 extern "C" MLIR_CRUNNERUTILS_EXPORT void rtdrand(void *);
+// Returns a pointer to an array of random numbers in the range of [0, s).

aartbik wrote:

Also, the in the range [0,s) is confusing. The numbers themselves are in the 
range [0,m) per the generator constructor. But this method simply returns an 
array of length s. Perhaps make that more clear too.

https://github.com/llvm/llvm-project/pull/77124
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[clang] [libcxx] [llvm] [mlir] [mlir][sparse][CRunnerUtils] Add shuffle in CRunnerUtils (PR #77124)

2024-01-05 Thread Aart Bik via cfe-commits 


@@ -160,6 +160,22 @@ extern "C" void mlirAlignedFree(void *ptr) {
 #endif
 }
 
+/// Generates an array with unique and random numbers from 0 to s-1.

aartbik wrote:

please keep order of method in header and cpp files consistent, so this should 
move down the xx_rand methods

https://github.com/llvm/llvm-project/pull/77124
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[clang] [libcxx] [llvm] [mlir] [mlir][sparse][CRunnerUtils] Add shuffle in CRunnerUtils (PR #77124)

2024-01-05 Thread via cfe-commits 

llvmbot wrote:




@llvm/pr-subscribers-mlir-execution-engine

Author: Yinying Li (yinying-lisa-li)


Changes

Shuffle can generate an array of unique and random numbers from 0 to size-1. It 
can be used to generate tensors with specified sparsity level.

---
Full diff: https://github.com/llvm/llvm-project/pull/77124.diff


3 Files Affected:

- (modified) mlir/include/mlir/ExecutionEngine/CRunnerUtils.h (+4) 
- (modified) mlir/lib/ExecutionEngine/CRunnerUtils.cpp (+16) 
- (added) mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir 
(+108) 


``diff
diff --git a/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h 
b/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h
index 76b04145b482e4..747e5ca40ca6f6 100644
--- a/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h
+++ b/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h
@@ -486,6 +486,10 @@ extern "C" MLIR_CRUNNERUTILS_EXPORT void *rtsrand(uint64_t 
s);
 extern "C" MLIR_CRUNNERUTILS_EXPORT uint64_t rtrand(void *, uint64_t m);
 // Deletes the random number generator.
 extern "C" MLIR_CRUNNERUTILS_EXPORT void rtdrand(void *);
+// Returns a pointer to an array of random numbers in the range of [0, s).
+extern "C" MLIR_CRUNNERUTILS_EXPORT void *shuffle(uint64_t s, void *g);
+// Deletes the array of random numbers.
+extern "C" MLIR_CRUNNERUTILS_EXPORT void shuffleFree(void *a);
 
 
//===--===//
 // Runtime support library to allow the use of std::sort in MLIR program.
diff --git a/mlir/lib/ExecutionEngine/CRunnerUtils.cpp 
b/mlir/lib/ExecutionEngine/CRunnerUtils.cpp
index e28e75eb110303..3a3261d1ad4e03 100644
--- a/mlir/lib/ExecutionEngine/CRunnerUtils.cpp
+++ b/mlir/lib/ExecutionEngine/CRunnerUtils.cpp
@@ -160,6 +160,22 @@ extern "C" void mlirAlignedFree(void *ptr) {
 #endif
 }
 
+/// Generates an array with unique and random numbers from 0 to s-1.
+extern "C" void *shuffle(uint64_t s, void *g) {
+  std::mt19937 *generator = static_cast(g);
+  uint64_t *output = new uint64_t[s];
+  std::vector arr(s);
+  std::iota(arr.begin(), arr.end(), 0);
+  std::shuffle(arr.begin(), arr.end(), *generator);
+  std::copy(arr.begin(), arr.end(), output);
+  return output;
+}
+
+extern "C" void shuffleFree(void *a) {
+  uint64_t *arr = static_cast(a);
+  delete[] arr;
+}
+
 extern "C" void *rtsrand(uint64_t s) {
   // Standard mersenne_twister_engine seeded with s.
   return new std::mt19937(s);
diff --git 
a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir 
b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir
new file mode 100644
index 00..b2bf3eb74e8f52
--- /dev/null
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir
@@ -0,0 +1,108 @@
+//--
+// WHEN CREATING A NEW TEST, PLEASE JUST COPY & PASTE WITHOUT EDITS.
+//
+// Set-up that's shared across all tests in this directory. In principle, this
+// config could be moved to lit.local.cfg. However, there are downstream users 
that
+//  do not use these LIT config files. Hence why this is kept inline.
+//
+// DEFINE: %{sparsifier_opts} = enable-runtime-library=true
+// DEFINE: %{sparsifier_opts_sve} = enable-arm-sve=true %{sparsifier_opts}
+// DEFINE: %{compile} = mlir-opt %s --sparsifier="%{sparsifier_opts}"
+// DEFINE: %{compile_sve} = mlir-opt %s --sparsifier="%{sparsifier_opts_sve}"
+// DEFINE: %{run_libs} = -shared-libs=%mlir_c_runner_utils,%mlir_runner_utils
+// DEFINE: %{run_opts} = -e entry -entry-point-result=void
+// DEFINE: %{run} = mlir-cpu-runner %{run_opts} %{run_libs}
+// DEFINE: %{run_sve} = %mcr_aarch64_cmd --march=aarch64 --mattr="+sve" 
%{run_opts} %{run_libs}
+//
+// DEFINE: %{env} =
+//--
+
+// RUN: %{compile} | %{run} | FileCheck %s
+//
+// Do the same run, but now with direct IR generation.
+// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false
+// RUN: %{compile} | %{run} | FileCheck %s
+//
+// Do the same run, but now with direct IR generation and vectorization.
+// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false vl=2 
reassociate-fp-reductions=true enable-index-optimizations=true
+// RUN: %{compile} | %{run} | FileCheck %s
+//
+// Do the same run, but now with direct IR generation and VLA vectorization.
+// RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}
+
+//
+// Integration test that generates a tensor with specified sparsity level.
+//
+
+!Generator = !llvm.ptr
+!Array = !llvm.ptr
+
+#SparseVector = #sparse_tensor.encoding<{
+  map = (d0) -> (d0 : compressed)
+}>
+
+module {
+  func.func private @rtsrand(index) -> (!Generator)
+  func.func private @rtrand(!Generator, index) -> (index)
+  func.func private @rtdrand(!Generator) -> ()
+  func.func private @shuffle(index, !Generator) -> (!Array)
+  func.func private

[clang] [libcxx] [llvm] [mlir] [mlir][sparse][CRunnerUtils] Add shuffle in CRunnerUtils (PR #77124)

2024-01-05 Thread Yinying Li via cfe-commits 

https://github.com/yinying-lisa-li ready_for_review 
https://github.com/llvm/llvm-project/pull/77124
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[clang] [libcxx] [llvm] [mlir] [mlir][sparse][CRunnerUtils] Add shuffle in CRunnerUtils (PR #77124)

2024-01-05 Thread Yinying Li via cfe-commits 

https://github.com/yinying-lisa-li updated 
https://github.com/llvm/llvm-project/pull/77124

>From 9baa732a2ab5d26b975efe9ed093d8e56ff6129c Mon Sep 17 00:00:00 2001
From: Yinying Li 
Date: Fri, 5 Jan 2024 01:17:39 +
Subject: [PATCH 1/2] [mlir][sparse][CRunnerUtils] Add shuffle and shuffleFree
 in CRunnerUtils to generate unique and random numbers

It's helpful for generating tensor with specified sparsity level.
---
 .../mlir/ExecutionEngine/CRunnerUtils.h   |   4 +
 mlir/lib/ExecutionEngine/CRunnerUtils.cpp |  16 +++
 .../SparseTensor/CPU/sparse_generate.mlir | 108 ++
 3 files changed, 128 insertions(+)
 create mode 100644 
mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir

diff --git a/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h 
b/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h
index 76b04145b482e4..747e5ca40ca6f6 100644
--- a/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h
+++ b/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h
@@ -486,6 +486,10 @@ extern "C" MLIR_CRUNNERUTILS_EXPORT void *rtsrand(uint64_t 
s);
 extern "C" MLIR_CRUNNERUTILS_EXPORT uint64_t rtrand(void *, uint64_t m);
 // Deletes the random number generator.
 extern "C" MLIR_CRUNNERUTILS_EXPORT void rtdrand(void *);
+// Returns a pointer to an array of random numbers in the range of [0, s).
+extern "C" MLIR_CRUNNERUTILS_EXPORT void *shuffle(uint64_t s, void *g);
+// Deletes the array of random numbers.
+extern "C" MLIR_CRUNNERUTILS_EXPORT void shuffleFree(void *a);
 
 
//===--===//
 // Runtime support library to allow the use of std::sort in MLIR program.
diff --git a/mlir/lib/ExecutionEngine/CRunnerUtils.cpp 
b/mlir/lib/ExecutionEngine/CRunnerUtils.cpp
index e28e75eb110303..3a3261d1ad4e03 100644
--- a/mlir/lib/ExecutionEngine/CRunnerUtils.cpp
+++ b/mlir/lib/ExecutionEngine/CRunnerUtils.cpp
@@ -160,6 +160,22 @@ extern "C" void mlirAlignedFree(void *ptr) {
 #endif
 }
 
+/// Generates an array with unique and random numbers from 0 to s-1.
+extern "C" void *shuffle(uint64_t s, void *g) {
+  std::mt19937 *generator = static_cast(g);
+  uint64_t *output = new uint64_t[s];
+  std::vector arr(s);
+  std::iota(arr.begin(), arr.end(), 0);
+  std::shuffle(arr.begin(), arr.end(), *generator);
+  std::copy(arr.begin(), arr.end(), output);
+  return output;
+}
+
+extern "C" void shuffleFree(void *a) {
+  uint64_t *arr = static_cast(a);
+  delete[] arr;
+}
+
 extern "C" void *rtsrand(uint64_t s) {
   // Standard mersenne_twister_engine seeded with s.
   return new std::mt19937(s);
diff --git 
a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir 
b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir
new file mode 100644
index 00..250993d874b370
--- /dev/null
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir
@@ -0,0 +1,108 @@
+//--
+// WHEN CREATING A NEW TEST, PLEASE JUST COPY & PASTE WITHOUT EDITS.
+//
+// Set-up that's shared across all tests in this directory. In principle, this
+// config could be moved to lit.local.cfg. However, there are downstream users 
that
+//  do not use these LIT config files. Hence why this is kept inline.
+//
+// DEFINE: %{sparsifier_opts} = enable-runtime-library=true
+// DEFINE: %{sparsifier_opts_sve} = enable-arm-sve=true %{sparsifier_opts}
+// DEFINE: %{compile} = mlir-opt %s --sparsifier="%{sparsifier_opts}"
+// DEFINE: %{compile_sve} = mlir-opt %s --sparsifier="%{sparsifier_opts_sve}"
+// DEFINE: %{run_libs} = -shared-libs=%mlir_c_runner_utils,%mlir_runner_utils
+// DEFINE: %{run_opts} = -e entry -entry-point-result=void
+// DEFINE: %{run} = mlir-cpu-runner %{run_opts} %{run_libs}
+// DEFINE: %{run_sve} = %mcr_aarch64_cmd --march=aarch64 --mattr="+sve" 
%{run_opts} %{run_libs}
+//
+// DEFINE: %{env} =
+//--
+
+// RUN: %{compile} | %{run} | FileCheck %s
+//
+// Do the same run, but now with direct IR generation.
+// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false
+// RUN: %{compile} | %{run} | FileCheck %s
+//
+// Do the same run, but now with direct IR generation and vectorization.
+// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false vl=2 
reassociate-fp-reductions=true enable-index-optimizations=true
+// RUN: %{compile} | %{run} | FileCheck %s
+//
+// Do the same run, but now with direct IR generation and VLA vectorization.
+// RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}
+
+//
+// Integration test that generates a tensor with specified sparsity level.
+//
+
+!Generator = !llvm.ptr
+!Array = !llvm.ptr
+
+#SparseVector = #sparse_tensor.encoding<{
+  map = (d0) -> (d0 : compressed)
+}>
+
+module {
+  func.func private @rtsrand(index) -> (!Generator)
+  func.func private

[clang] [libcxx] [llvm] [mlir] [mlir][sparse][CRunnerUtils] Add shuffle in CRunnerUtils (PR #77124)

2024-01-05 Thread Yinying Li via cfe-commits 

https://github.com/yinying-lisa-li updated 
https://github.com/llvm/llvm-project/pull/77124

>From 9baa732a2ab5d26b975efe9ed093d8e56ff6129c Mon Sep 17 00:00:00 2001
From: Yinying Li 
Date: Fri, 5 Jan 2024 01:17:39 +
Subject: [PATCH 1/2] [mlir][sparse][CRunnerUtils] Add shuffle and shuffleFree
 in CRunnerUtils to generate unique and random numbers

It's helpful for generating tensor with specified sparsity level.
---
 .../mlir/ExecutionEngine/CRunnerUtils.h   |   4 +
 mlir/lib/ExecutionEngine/CRunnerUtils.cpp |  16 +++
 .../SparseTensor/CPU/sparse_generate.mlir | 108 ++
 3 files changed, 128 insertions(+)
 create mode 100644 
mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir

diff --git a/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h 
b/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h
index 76b04145b482e4..747e5ca40ca6f6 100644
--- a/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h
+++ b/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h
@@ -486,6 +486,10 @@ extern "C" MLIR_CRUNNERUTILS_EXPORT void *rtsrand(uint64_t 
s);
 extern "C" MLIR_CRUNNERUTILS_EXPORT uint64_t rtrand(void *, uint64_t m);
 // Deletes the random number generator.
 extern "C" MLIR_CRUNNERUTILS_EXPORT void rtdrand(void *);
+// Returns a pointer to an array of random numbers in the range of [0, s).
+extern "C" MLIR_CRUNNERUTILS_EXPORT void *shuffle(uint64_t s, void *g);
+// Deletes the array of random numbers.
+extern "C" MLIR_CRUNNERUTILS_EXPORT void shuffleFree(void *a);
 
 
//===--===//
 // Runtime support library to allow the use of std::sort in MLIR program.
diff --git a/mlir/lib/ExecutionEngine/CRunnerUtils.cpp 
b/mlir/lib/ExecutionEngine/CRunnerUtils.cpp
index e28e75eb110303..3a3261d1ad4e03 100644
--- a/mlir/lib/ExecutionEngine/CRunnerUtils.cpp
+++ b/mlir/lib/ExecutionEngine/CRunnerUtils.cpp
@@ -160,6 +160,22 @@ extern "C" void mlirAlignedFree(void *ptr) {
 #endif
 }
 
+/// Generates an array with unique and random numbers from 0 to s-1.
+extern "C" void *shuffle(uint64_t s, void *g) {
+  std::mt19937 *generator = static_cast(g);
+  uint64_t *output = new uint64_t[s];
+  std::vector arr(s);
+  std::iota(arr.begin(), arr.end(), 0);
+  std::shuffle(arr.begin(), arr.end(), *generator);
+  std::copy(arr.begin(), arr.end(), output);
+  return output;
+}
+
+extern "C" void shuffleFree(void *a) {
+  uint64_t *arr = static_cast(a);
+  delete[] arr;
+}
+
 extern "C" void *rtsrand(uint64_t s) {
   // Standard mersenne_twister_engine seeded with s.
   return new std::mt19937(s);
diff --git 
a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir 
b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir
new file mode 100644
index 00..250993d874b370
--- /dev/null
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir
@@ -0,0 +1,108 @@
+//--
+// WHEN CREATING A NEW TEST, PLEASE JUST COPY & PASTE WITHOUT EDITS.
+//
+// Set-up that's shared across all tests in this directory. In principle, this
+// config could be moved to lit.local.cfg. However, there are downstream users 
that
+//  do not use these LIT config files. Hence why this is kept inline.
+//
+// DEFINE: %{sparsifier_opts} = enable-runtime-library=true
+// DEFINE: %{sparsifier_opts_sve} = enable-arm-sve=true %{sparsifier_opts}
+// DEFINE: %{compile} = mlir-opt %s --sparsifier="%{sparsifier_opts}"
+// DEFINE: %{compile_sve} = mlir-opt %s --sparsifier="%{sparsifier_opts_sve}"
+// DEFINE: %{run_libs} = -shared-libs=%mlir_c_runner_utils,%mlir_runner_utils
+// DEFINE: %{run_opts} = -e entry -entry-point-result=void
+// DEFINE: %{run} = mlir-cpu-runner %{run_opts} %{run_libs}
+// DEFINE: %{run_sve} = %mcr_aarch64_cmd --march=aarch64 --mattr="+sve" 
%{run_opts} %{run_libs}
+//
+// DEFINE: %{env} =
+//--
+
+// RUN: %{compile} | %{run} | FileCheck %s
+//
+// Do the same run, but now with direct IR generation.
+// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false
+// RUN: %{compile} | %{run} | FileCheck %s
+//
+// Do the same run, but now with direct IR generation and vectorization.
+// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false vl=2 
reassociate-fp-reductions=true enable-index-optimizations=true
+// RUN: %{compile} | %{run} | FileCheck %s
+//
+// Do the same run, but now with direct IR generation and VLA vectorization.
+// RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}
+
+//
+// Integration test that generates a tensor with specified sparsity level.
+//
+
+!Generator = !llvm.ptr
+!Array = !llvm.ptr
+
+#SparseVector = #sparse_tensor.encoding<{
+  map = (d0) -> (d0 : compressed)
+}>
+
+module {
+  func.func private @rtsrand(index) -> (!Generator)
+  func.func private

[clang] [libcxx] [llvm] [mlir] [mlir][sparse][CRunnerUtils] Add shuffle in CRunnerUtils (PR #77124)

2024-01-05 Thread Yinying Li via cfe-commits 

https://github.com/yinying-lisa-li updated 
https://github.com/llvm/llvm-project/pull/77124

>From 9baa732a2ab5d26b975efe9ed093d8e56ff6129c Mon Sep 17 00:00:00 2001
From: Yinying Li 
Date: Fri, 5 Jan 2024 01:17:39 +
Subject: [PATCH] [mlir][sparse][CRunnerUtils] Add shuffle and shuffleFree in
 CRunnerUtils to generate unique and random numbers

It's helpful for generating tensor with specified sparsity level.
---
 .../mlir/ExecutionEngine/CRunnerUtils.h   |   4 +
 mlir/lib/ExecutionEngine/CRunnerUtils.cpp |  16 +++
 .../SparseTensor/CPU/sparse_generate.mlir | 108 ++
 3 files changed, 128 insertions(+)
 create mode 100644 
mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir

diff --git a/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h 
b/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h
index 76b04145b482e4..747e5ca40ca6f6 100644
--- a/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h
+++ b/mlir/include/mlir/ExecutionEngine/CRunnerUtils.h
@@ -486,6 +486,10 @@ extern "C" MLIR_CRUNNERUTILS_EXPORT void *rtsrand(uint64_t 
s);
 extern "C" MLIR_CRUNNERUTILS_EXPORT uint64_t rtrand(void *, uint64_t m);
 // Deletes the random number generator.
 extern "C" MLIR_CRUNNERUTILS_EXPORT void rtdrand(void *);
+// Returns a pointer to an array of random numbers in the range of [0, s).
+extern "C" MLIR_CRUNNERUTILS_EXPORT void *shuffle(uint64_t s, void *g);
+// Deletes the array of random numbers.
+extern "C" MLIR_CRUNNERUTILS_EXPORT void shuffleFree(void *a);
 
 
//===--===//
 // Runtime support library to allow the use of std::sort in MLIR program.
diff --git a/mlir/lib/ExecutionEngine/CRunnerUtils.cpp 
b/mlir/lib/ExecutionEngine/CRunnerUtils.cpp
index e28e75eb110303..3a3261d1ad4e03 100644
--- a/mlir/lib/ExecutionEngine/CRunnerUtils.cpp
+++ b/mlir/lib/ExecutionEngine/CRunnerUtils.cpp
@@ -160,6 +160,22 @@ extern "C" void mlirAlignedFree(void *ptr) {
 #endif
 }
 
+/// Generates an array with unique and random numbers from 0 to s-1.
+extern "C" void *shuffle(uint64_t s, void *g) {
+  std::mt19937 *generator = static_cast(g);
+  uint64_t *output = new uint64_t[s];
+  std::vector arr(s);
+  std::iota(arr.begin(), arr.end(), 0);
+  std::shuffle(arr.begin(), arr.end(), *generator);
+  std::copy(arr.begin(), arr.end(), output);
+  return output;
+}
+
+extern "C" void shuffleFree(void *a) {
+  uint64_t *arr = static_cast(a);
+  delete[] arr;
+}
+
 extern "C" void *rtsrand(uint64_t s) {
   // Standard mersenne_twister_engine seeded with s.
   return new std::mt19937(s);
diff --git 
a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir 
b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir
new file mode 100644
index 00..250993d874b370
--- /dev/null
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_generate.mlir
@@ -0,0 +1,108 @@
+//--
+// WHEN CREATING A NEW TEST, PLEASE JUST COPY & PASTE WITHOUT EDITS.
+//
+// Set-up that's shared across all tests in this directory. In principle, this
+// config could be moved to lit.local.cfg. However, there are downstream users 
that
+//  do not use these LIT config files. Hence why this is kept inline.
+//
+// DEFINE: %{sparsifier_opts} = enable-runtime-library=true
+// DEFINE: %{sparsifier_opts_sve} = enable-arm-sve=true %{sparsifier_opts}
+// DEFINE: %{compile} = mlir-opt %s --sparsifier="%{sparsifier_opts}"
+// DEFINE: %{compile_sve} = mlir-opt %s --sparsifier="%{sparsifier_opts_sve}"
+// DEFINE: %{run_libs} = -shared-libs=%mlir_c_runner_utils,%mlir_runner_utils
+// DEFINE: %{run_opts} = -e entry -entry-point-result=void
+// DEFINE: %{run} = mlir-cpu-runner %{run_opts} %{run_libs}
+// DEFINE: %{run_sve} = %mcr_aarch64_cmd --march=aarch64 --mattr="+sve" 
%{run_opts} %{run_libs}
+//
+// DEFINE: %{env} =
+//--
+
+// RUN: %{compile} | %{run} | FileCheck %s
+//
+// Do the same run, but now with direct IR generation.
+// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false
+// RUN: %{compile} | %{run} | FileCheck %s
+//
+// Do the same run, but now with direct IR generation and vectorization.
+// REDEFINE: %{sparsifier_opts} = enable-runtime-library=false vl=2 
reassociate-fp-reductions=true enable-index-optimizations=true
+// RUN: %{compile} | %{run} | FileCheck %s
+//
+// Do the same run, but now with direct IR generation and VLA vectorization.
+// RUN: %if mlir_arm_sve_tests %{ %{compile_sve} | %{run_sve} | FileCheck %s %}
+
+//
+// Integration test that generates a tensor with specified sparsity level.
+//
+
+!Generator = !llvm.ptr
+!Array = !llvm.ptr
+
+#SparseVector = #sparse_tensor.encoding<{
+  map = (d0) -> (d0 : compressed)
+}>
+
+module {
+  func.func private @rtsrand(index) -> (!Generator)
+  func.func private