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// DEFINE: %{option} = enable-runtime-library=false
// DEFINE: %{compile} = mlir-opt %s --sparse-compiler=%{option}
// DEFINE: %{run} = mlir-cpu-runner \
// DEFINE: -e entry -entry-point-result=void \
// DEFINE: -shared-libs=%mlir_c_runner_utils | \
// DEFINE: FileCheck %s
//
// RUN: %{compile} | %{run}
//
// Do the same run, but now with vectorization.
// REDEFINE: %{option} = "enable-runtime-library=false vl=2 reassociate-fp-reductions=true enable-index-optimizations=true"
// RUN: %{compile} | %{run}
// Do the same run, but now with direct IR generation and, if available, VLA
// vectorization.
// REDEFINE: %{option} = "enable-runtime-library=false vl=4 enable-arm-sve=%ENABLE_VLA"
// REDEFINE: %{run} = %lli_host_or_aarch64_cmd \
// REDEFINE: --entry-function=entry_lli \
// REDEFINE: --extra-module=%S/Inputs/main_for_lli.ll \
// REDEFINE: %VLA_ARCH_ATTR_OPTIONS \
// REDEFINE: --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
// REDEFINE: FileCheck %s
// RUN: %{compile} | mlir-translate -mlir-to-llvmir | %{run}
module {
func.func @entry() {
%c0 = arith.constant 0 : index
%c1 = arith.constant 1 : index
%c10 = arith.constant 10 : index
%d0 = arith.constant 0.0 : f32
%d1 = arith.constant 1.0 : f32
%d2 = arith.constant 2.0 : f32
%bufferSizes = memref.alloc(%c1) : memref<?xindex>
%buffer = memref.alloc(%c1) : memref<?xf32>
memref.store %c0, %bufferSizes[%c0] : memref<?xindex>
%buffer2, %s0 = sparse_tensor.push_back %c0, %buffer, %d2 : index, memref<?xf32>, f32
%buffer3, %s1 = sparse_tensor.push_back %s0, %buffer2, %d1, %c10 : index, memref<?xf32>, f32, index
// CHECK: 16
%capacity = memref.dim %buffer3, %c0 : memref<?xf32>
vector.print %capacity : index
// CHECK: 11
vector.print %s1 : index
// CHECK ( 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 )
%values = vector.transfer_read %buffer3[%c0], %d0: memref<?xf32>, vector<11xf32>
vector.print %values : vector<11xf32>
// Release the buffers.
memref.dealloc %bufferSizes : memref<?xindex>
memref.dealloc %buffer3 : memref<?xf32>
return
}
}
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