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// DEFINE: %{option} = enable-runtime-library=true
// DEFINE: %{compile} = mlir-opt %s --sparse-compiler=%{option}
// DEFINE: %{run} = TENSOR0="%mlir_src_dir/test/Integration/data/wide.mtx" TENSOR1="" \
// DEFINE: 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 direct IR generation.
// REDEFINE: %{option} = enable-runtime-library=false
// RUN: %{compile} | %{run}
//
// Do the same run, but now with direct IR generation and 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} = TENSOR0="%mlir_src_dir/test/Integration/data/wide.mtx" TENSOR1="" \
// REDEFINE: %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}
!Filename = !llvm.ptr<i8>
!TensorReader = !llvm.ptr<i8>
!TensorWriter = !llvm.ptr<i8>
module {
func.func private @getTensorFilename(index) -> (!Filename)
func.func private @createSparseTensorReader(!Filename) -> (!TensorReader)
func.func private @delSparseTensorReader(!TensorReader) -> ()
func.func private @getSparseTensorReaderRank(!TensorReader) -> (index)
func.func private @getSparseTensorReaderNSE(!TensorReader) -> (index)
func.func private @getSparseTensorReaderIsSymmetric(!TensorReader) -> (i1)
func.func private @copySparseTensorReaderDimSizes(!TensorReader,
memref<?xindex>) -> () attributes { llvm.emit_c_interface }
func.func private @getSparseTensorReaderRead0F32(!TensorReader,
memref<?xindex>, memref<?xindex>, memref<?xf32>)
-> (i1) attributes { llvm.emit_c_interface }
func.func private @getSparseTensorReaderNextF32(!TensorReader,
memref<?xindex>, memref<f32>) -> () attributes { llvm.emit_c_interface }
func.func private @createSparseTensorWriter(!Filename) -> (!TensorWriter)
func.func private @delSparseTensorWriter(!TensorWriter)
func.func private @outSparseTensorWriterMetaData(!TensorWriter, index, index,
memref<?xindex>) -> () attributes { llvm.emit_c_interface }
func.func private @outSparseTensorWriterNextF32(!TensorWriter, index,
memref<?xindex>, memref<f32>) -> () attributes { llvm.emit_c_interface }
func.func @dumpi(%arg0: memref<?xindex>) {
%c0 = arith.constant 0 : index
%v = vector.transfer_read %arg0[%c0], %c0: memref<?xindex>, vector<17xindex>
vector.print %v : vector<17xindex>
return
}
func.func @dumpi2(%arg0: memref<?xindex, strided<[2], offset: ?>>) {
%c0 = arith.constant 0 : index
%v = vector.transfer_read %arg0[%c0], %c0 :
memref<?xindex, strided<[2], offset: ?>>, vector<17xindex>
vector.print %v : vector<17xindex>
return
}
func.func @dumpf(%arg0: memref<?xf32>) {
%c0 = arith.constant 0 : index
%d0 = arith.constant 0.0 : f32
%v = vector.transfer_read %arg0[%c0], %d0: memref<?xf32>, vector<17xf32>
vector.print %v : vector<17xf32>
return
}
// Returns the indices and values of the tensor.
func.func @readTensorFile(%tensor: !TensorReader)
-> (memref<?xindex>, memref<?xf32>, i1) {
%c0 = arith.constant 0 : index
%c1 = arith.constant 1 : index
%c2 = arith.constant 2 : index
%rank = call @getSparseTensorReaderRank(%tensor) : (!TensorReader) -> index
%nse = call @getSparseTensorReaderNSE(%tensor) : (!TensorReader) -> index
// Assume rank == 2.
%isize = arith.muli %c2, %nse : index
%xs = memref.alloc(%isize) : memref<?xindex>
%vs = memref.alloc(%nse) : memref<?xf32>
%dim2lvl = memref.alloca(%c2) : memref<?xindex>
memref.store %c0, %dim2lvl[%c0] : memref<?xindex>
memref.store %c1, %dim2lvl[%c1] : memref<?xindex>
%isSorted =func.call @getSparseTensorReaderRead0F32(%tensor, %dim2lvl, %xs, %vs)
: (!TensorReader, memref<?xindex>, memref<?xindex>, memref<?xf32>) -> (i1)
return %xs, %vs, %isSorted : memref<?xindex>, memref<?xf32>, i1
}
// Reads a COO tensor from the given file name and prints its content.
func.func @readTensorFileAndDump(%fileName: !Filename) {
%c0 = arith.constant 0 : index
%c1 = arith.constant 1 : index
%c2 = arith.constant 2 : index
%tensor = call @createSparseTensorReader(%fileName)
: (!Filename) -> (!TensorReader)
%rank = call @getSparseTensorReaderRank(%tensor) : (!TensorReader) -> index
vector.print %rank : index
%nse = call @getSparseTensorReaderNSE(%tensor) : (!TensorReader) -> index
vector.print %nse : index
%symmetric = call @getSparseTensorReaderIsSymmetric(%tensor)
: (!TensorReader) -> i1
vector.print %symmetric : i1
%dimSizes = memref.alloc(%rank) : memref<?xindex>
func.call @copySparseTensorReaderDimSizes(%tensor, %dimSizes)
: (!TensorReader, memref<?xindex>) -> ()
call @dumpi(%dimSizes) : (memref<?xindex>) -> ()
%xs, %vs, %isSorted = call @readTensorFile(%tensor)
: (!TensorReader) -> (memref<?xindex>, memref<?xf32>, i1)
%x0s = memref.subview %xs[%c0][%nse][%c2]
: memref<?xindex> to memref<?xindex, strided<[2], offset: ?>>
%x1s = memref.subview %xs[%c1][%nse][%c2]
: memref<?xindex> to memref<?xindex, strided<[2], offset: ?>>
vector.print %isSorted : i1
call @dumpi2(%x0s) : (memref<?xindex, strided<[2], offset: ?>>) -> ()
call @dumpi2(%x1s) : (memref<?xindex, strided<[2], offset: ?>>) -> ()
call @dumpf(%vs) : (memref<?xf32>) -> ()
// Release the resources.
call @delSparseTensorReader(%tensor) : (!TensorReader) -> ()
memref.dealloc %dimSizes : memref<?xindex>
memref.dealloc %xs : memref<?xindex>
memref.dealloc %vs : memref<?xf32>
return
}
// Reads a COO tensor from a file with fileName0 and writes its content to
// another file with fileName1.
func.func @createTensorFileFrom(%fileName0: !Filename, %fileName1: !Filename) {
%c0 = arith.constant 0 : index
%c1 = arith.constant 1 : index
%tensor0 = call @createSparseTensorReader(%fileName0)
: (!Filename) -> (!TensorReader)
%tensor1 = call @createSparseTensorWriter(%fileName1)
: (!Filename) -> (!TensorWriter)
%rank = call @getSparseTensorReaderRank(%tensor0) : (!TensorReader) -> index
%nse = call @getSparseTensorReaderNSE(%tensor0) : (!TensorReader) -> index
%dimSizes = memref.alloc(%rank) : memref<?xindex>
func.call @copySparseTensorReaderDimSizes(%tensor0, %dimSizes)
: (!TensorReader, memref<?xindex>) -> ()
call @outSparseTensorWriterMetaData(%tensor1, %rank, %nse, %dimSizes)
: (!TensorWriter, index, index, memref<?xindex>) -> ()
//TODO: handle isSymmetric.
// Assume rank == 2.
%indices = memref.alloc(%rank) : memref<?xindex>
%value = memref.alloca() : memref<f32>
scf.for %i = %c0 to %nse step %c1 {
func.call @getSparseTensorReaderNextF32(%tensor0, %indices, %value)
: (!TensorReader, memref<?xindex>, memref<f32>) -> ()
func.call @outSparseTensorWriterNextF32(%tensor1, %rank, %indices, %value)
: (!TensorWriter, index, memref<?xindex>, memref<f32>) -> ()
}
// Release the resources.
call @delSparseTensorReader(%tensor0) : (!TensorReader) -> ()
call @delSparseTensorWriter(%tensor1) : (!TensorWriter) -> ()
memref.dealloc %dimSizes : memref<?xindex>
memref.dealloc %indices : memref<?xindex>
return
}
func.func @entry() {
%c0 = arith.constant 0 : index
%c1 = arith.constant 1 : index
%fileName0 = call @getTensorFilename(%c0) : (index) -> (!Filename)
%fileName1 = call @getTensorFilename(%c1) : (index) -> (!Filename)
// Write the sparse tensor data from file through the SparseTensorReader and
// print the data.
// CHECK: 2
// CHECK: 17
// CHECK: 0
// CHECK: ( 4, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
// CHECK: 1
// CHECK: ( 0, 0, 0, 0, 1, 1, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 )
// CHECK: ( 0, 126, 127, 254, 1, 253, 2, 0, 1, 3, 98, 126, 127, 128, 249, 253, 255 )
// CHECK: ( -1, 2, -3, 4, -5, 6, -7, 8, -9, 10, -11, 12, -13, 14, -15, 16, -17 )
call @readTensorFileAndDump(%fileName0) : (!Filename) -> ()
// Write the sparse tensor data to std::cout through the SparseTensorWriter.
// CHECK: # extended FROSTT format
// CHECK: 2 17
// CHECK: 4 256
// CHECK: 1 1 -1
// CHECK: 1 127 2
// CHECK: 1 128 -3
// CHECK: 1 255 4
// CHECK: 2 2 -5
// CHECK: 2 254 6
// CHECK: 3 3 -7
// CHECK: 4 1 8
// CHECK: 4 2 -9
// CHECK: 4 4 10
// CHECK: 4 99 -11
// CHECK: 4 127 12
// CHECK: 4 128 -13
// CHECK: 4 129 14
// CHECK: 4 250 -15
// CHECK: 4 254 16
// CHECK: 4 256 -17
call @createTensorFileFrom(%fileName0, %fileName1)
: (!Filename, !Filename) -> ()
return
}
}
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