[Mlir-commits] [mlir] 5b122a7 - [mlir][sparse] integration test for zero preserving math op
Aart Bik
llvmlistbot at llvm.org
Fri May 6 10:42:41 PDT 2022
Author: Aart Bik
Date: 2022-05-06T10:42:33-07:00
New Revision: 5b122a7310e8899ae058ba86d28793b7ae903226
URL: https://github.com/llvm/llvm-project/commit/5b122a7310e8899ae058ba86d28793b7ae903226
DIFF: https://github.com/llvm/llvm-project/commit/5b122a7310e8899ae058ba86d28793b7ae903226.diff
LOG: [mlir][sparse] integration test for zero preserving math op
Also fixes omission in lowering math ops that require lib support
Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D125104
Added:
mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tanh.mlir
Modified:
mlir/lib/Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp
Removed:
################################################################################
diff --git a/mlir/lib/Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp b/mlir/lib/Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp
index bea3ccf70c11..f226db43d1bc 100644
--- a/mlir/lib/Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp
+++ b/mlir/lib/Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp
@@ -49,6 +49,7 @@ void mlir::sparse_tensor::buildSparseCompiler(
pm.addPass(createConvertVectorToLLVMPass(options.lowerVectorToLLVMOptions()));
pm.addPass(createMemRefToLLVMPass());
pm.addNestedPass<func::FuncOp>(createConvertMathToLLVMPass());
+ pm.addPass(createConvertMathToLibmPass());
pm.addPass(createConvertFuncToLLVMPass());
pm.addPass(createReconcileUnrealizedCastsPass());
}
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tanh.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tanh.mlir
new file mode 100644
index 000000000000..9cbfd0cdad69
--- /dev/null
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tanh.mlir
@@ -0,0 +1,76 @@
+// RUN: mlir-opt %s --sparse-compiler | \
+// RUN: mlir-cpu-runner \
+// RUN: -e entry -entry-point-result=void \
+// RUN: -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
+
+#SparseVector = #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ] }>
+
+#trait_op = {
+ indexing_maps = [
+ affine_map<(i) -> (i)> // X (out)
+ ],
+ iterator_types = ["parallel"],
+ doc = "X(i) = OP X(i)"
+}
+
+module {
+ // Performs zero-preserving math to sparse vector.
+ func @sparse_tanh(%vec: tensor<?xf64, #SparseVector>
+ {linalg.inplaceable = true})
+ -> tensor<?xf64, #SparseVector> {
+ %0 = linalg.generic #trait_op
+ outs(%vec: tensor<?xf64, #SparseVector>) {
+ ^bb(%x: f64):
+ %1 = math.tanh %x : f64
+ linalg.yield %1 : f64
+ } -> tensor<?xf64, #SparseVector>
+ return %0 : tensor<?xf64, #SparseVector>
+ }
+
+ // Dumps a sparse vector of type f64.
+ func @dump_vec_f64(%arg0: tensor<?xf64, #SparseVector>) {
+ // Dump the values array to verify only sparse contents are stored.
+ %c0 = arith.constant 0 : index
+ %d0 = arith.constant -1.0 : f64
+ %0 = sparse_tensor.values %arg0
+ : tensor<?xf64, #SparseVector> to memref<?xf64>
+ %1 = vector.transfer_read %0[%c0], %d0: memref<?xf64>, vector<32xf64>
+ vector.print %1 : vector<32xf64>
+ // Dump the dense vector to verify structure is correct.
+ %dv = sparse_tensor.convert %arg0
+ : tensor<?xf64, #SparseVector> to tensor<?xf64>
+ %2 = bufferization.to_memref %dv : memref<?xf64>
+ %3 = vector.transfer_read %2[%c0], %d0: memref<?xf64>, vector<32xf64>
+ vector.print %3 : vector<32xf64>
+ memref.dealloc %2 : memref<?xf64>
+ return
+ }
+
+ // Driver method to call and verify vector kernels.
+ func @entry() {
+ // Setup sparse vector.
+ %v1 = arith.constant sparse<
+ [ [0], [3], [11], [17], [20], [21], [28], [29], [31] ],
+ [ -1.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 100.0 ]
+ > : tensor<32xf64>
+ %sv1 = sparse_tensor.convert %v1
+ : tensor<32xf64> to tensor<?xf64, #SparseVector>
+
+ // Call sparse vector kernel.
+ %0 = call @sparse_tanh(%sv1) : (tensor<?xf64, #SparseVector>)
+ -> tensor<?xf64, #SparseVector>
+
+ //
+ // Verify the results (within some precision).
+ //
+ // CHECK: {{( -0.761[0-9]*, 0.761[0-9]*, 0.96[0-9]*, 0.99[0-9]*, 0.99[0-9]*, 0.99[0-9]*, 0.99[0-9]*, 0.99[0-9]*, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1 )}}
+ // CHECK-NEXT {{( -0.761[0-9]*, 0, 0, 0.761[0-9]*, 0, 0, 0, 0, 0, 0, 0, 0.96[0-9]*, 0, 0, 0, 0, 0, 0.99[0-9]*, 0, 0, 0.99[0-9]*, 0.99[0-9]*, 0, 0, 0, 0, 0, 0, 0.99[0-9]*, 0.99[0-9]*, 0, 1 )}}
+ //
+ call @dump_vec_f64(%sv1) : (tensor<?xf64, #SparseVector>) -> ()
+
+ // Release the resources.
+ sparse_tensor.release %sv1 : tensor<?xf64, #SparseVector>
+ return
+ }
+}
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