#include "mlir-c/Dialect/SparseTensor.h"
#include "mlir-c/IR.h"
#include "mlir-c/RegisterEverything.h"
#include <assert.h>
#include <inttypes.h>
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
static int testRoundtripEncoding(MlirContext ctx) {
fprintf(stderr, "testRoundtripEncoding()\n");
const char *originalAsm =
"#sparse_tensor.encoding<{ "
"map = [s0](d0, d1) -> (s0 : dense, d0 : compressed, d1 : compressed), "
"posWidth = 32, crdWidth = 64, explicitVal = 1 : i64}>";
MlirAttribute originalAttr =
mlirAttributeParseGet(ctx, mlirStringRefCreateFromCString(originalAsm));
fprintf(stderr, "isa: %d\n",
mlirAttributeIsASparseTensorEncodingAttr(originalAttr));
MlirAffineMap dimToLvl =
mlirSparseTensorEncodingAttrGetDimToLvl(originalAttr);
mlirAffineMapDump(dimToLvl);
MlirAffineMap lvlToDim =
mlirSparseTensorEncodingAttrGetLvlToDim(originalAttr);
int lvlRank = mlirSparseTensorEncodingGetLvlRank(originalAttr);
MlirSparseTensorLevelType *lvlTypes =
malloc(sizeof(MlirSparseTensorLevelType) * lvlRank);
for (int l = 0; l < lvlRank; ++l) {
lvlTypes[l] = mlirSparseTensorEncodingAttrGetLvlType(originalAttr, l);
fprintf(stderr, "level_type: %" PRIu64 "\n", lvlTypes[l]);
}
int posWidth = mlirSparseTensorEncodingAttrGetPosWidth(originalAttr);
fprintf(stderr, "posWidth: %d\n", posWidth);
int crdWidth = mlirSparseTensorEncodingAttrGetCrdWidth(originalAttr);
fprintf(stderr, "crdWidth: %d\n", crdWidth);
MlirAttribute explicitVal =
mlirSparseTensorEncodingAttrGetExplicitVal(originalAttr);
fprintf(stderr, "explicitVal: ");
mlirAttributeDump(explicitVal);
MlirAttribute implicitVal =
mlirSparseTensorEncodingAttrGetImplicitVal(originalAttr);
fprintf(stderr, "implicitVal: ");
mlirAttributeDump(implicitVal);
MlirAttribute newAttr = mlirSparseTensorEncodingAttrGet(
ctx, lvlRank, lvlTypes, dimToLvl, lvlToDim, posWidth, crdWidth,
explicitVal, implicitVal);
mlirAttributeDump(newAttr);
fprintf(stderr, "equal: %d\n", mlirAttributeEqual(originalAttr, newAttr));
free(lvlTypes);
return 0;
}
int main(void) {
MlirContext ctx = mlirContextCreate();
mlirDialectHandleRegisterDialect(mlirGetDialectHandle__sparse_tensor__(),
ctx);
if (testRoundtripEncoding(ctx))
return 1;
mlirContextDestroy(ctx);
return 0;
}