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 <yinyin...@google.com>
Date: Fri, 5 Jan 2024 01:17:39 +0000
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<std::mt19937 *>(g);
+ uint64_t *output = new uint64_t[s];
+ std::vector<uint64_t> 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<uint64_t *>(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 00000000000000..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 @rtrand(!Generator, index) -> (index)
+ func.func private @rtdrand(!Generator) -> ()
+ func.func private @shuffle(index, !Generator) -> (!Array)
+ func.func private @shuffleFree(!Array) -> ()
+
+ //
+ // Main driver.
+ //
+ func.func @entry() {
+ %c0 = arith.constant 0 : index
+ %c1 = arith.constant 1 : index
+ %f0 = arith.constant 0.0 : f64
+ %c99 = arith.constant 99 : index
+ %c100 = arith.constant 100 : index
+
+ // Set up input size and sparsity level.
+ %size = arith.constant 50 : index
+ %sparsity = arith.constant 90 : index
+ %zeros = arith.muli %size, %sparsity : index
+ %nz = arith.floordivsi %zeros, %c100 : index
+ %nse = arith.subi %size, %nz : index
+
+ // Set up an empty vector.
+ %empty = tensor.empty(%size) : tensor<?xf64>
+ %zero_vec = linalg.fill ins(%f0 : f64) outs(%empty : tensor<?xf64>) ->
tensor<?xf64>
+
+ // Generate shuffled indices in the range of [0, %size).
+ %g = func.call @rtsrand(%c0) : (index) ->(!Generator)
+ %res = func.call @shuffle(%size, %g) : (index, !Generator) -> !Array
+
+ // Iterate through the number of nse indices to insert values.
+ %output = scf.for %iv = %c0 to %nse step %c1 iter_args(%iter = %zero_vec)
-> tensor<?xf64> {
+ // Fetch the index to insert value from shuffled index array.
+ %r = arith.index_cast %iv : index to i64
+ %arr = llvm.getelementptr %res[%r] : (!llvm.ptr, i64) -> !llvm.ptr, i64
+ %val = llvm.load %arr : !Array -> i64
+ %idx = arith.index_cast %val : i64 to index
+ // Generate a random number from 1 to 100.
+ %ri0 = func.call @rtrand(%g, %c99) : (!Generator, index) -> (index)
+ %ri1 = arith.addi %ri0, %c1 : index
+ %r0 = arith.index_cast %ri1 : index to i64
+ %fr = arith.uitofp %r0 : i64 to f64
+ // Insert the random number to current index.
+ %out = tensor.insert %fr into %iter[%idx] : tensor<?xf64>
+ scf.yield %out : tensor<?xf64>
+ }
+
+ %sv = sparse_tensor.convert %output : tensor<?xf64> to tensor<?xf64,
#SparseVector>
+ %n0 = sparse_tensor.number_of_entries %sv : tensor<?xf64, #SparseVector>
+
+ // Print the number of non-zeros for verification.
+ //
+ // CHECK: 5
+ vector.print %n0 : index
+
+ // Release the resources.
+ bufferization.dealloc_tensor %sv : tensor<?xf64, #SparseVector>
+ func.call @shuffleFree(%res) : (!Array) -> ()
+ func.call @rtdrand(%g) : (!Generator) -> ()
+
+ return
+ }
+}
\ No newline at end of file
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