forked from OSchip/llvm-project
2063 lines
78 KiB
C
2063 lines
78 KiB
C
//===- ir.c - Simple test of C APIs ---------------------------------------===//
|
|
//
|
|
// Part of the LLVM Project, under the Apache License v2.0 with LLVM
|
|
// Exceptions.
|
|
// See https://llvm.org/LICENSE.txt for license information.
|
|
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
/* RUN: mlir-capi-ir-test 2>&1 | FileCheck %s
|
|
*/
|
|
|
|
#include "mlir-c/IR.h"
|
|
#include "mlir-c/AffineExpr.h"
|
|
#include "mlir-c/AffineMap.h"
|
|
#include "mlir-c/BuiltinAttributes.h"
|
|
#include "mlir-c/BuiltinTypes.h"
|
|
#include "mlir-c/Diagnostics.h"
|
|
#include "mlir-c/Dialect/Func.h"
|
|
#include "mlir-c/IntegerSet.h"
|
|
#include "mlir-c/Registration.h"
|
|
#include "mlir-c/Support.h"
|
|
|
|
#include <assert.h>
|
|
#include <inttypes.h>
|
|
#include <math.h>
|
|
#include <stdio.h>
|
|
#include <stdlib.h>
|
|
#include <string.h>
|
|
|
|
void populateLoopBody(MlirContext ctx, MlirBlock loopBody,
|
|
MlirLocation location, MlirBlock funcBody) {
|
|
MlirValue iv = mlirBlockGetArgument(loopBody, 0);
|
|
MlirValue funcArg0 = mlirBlockGetArgument(funcBody, 0);
|
|
MlirValue funcArg1 = mlirBlockGetArgument(funcBody, 1);
|
|
MlirType f32Type =
|
|
mlirTypeParseGet(ctx, mlirStringRefCreateFromCString("f32"));
|
|
|
|
MlirOperationState loadLHSState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("memref.load"), location);
|
|
MlirValue loadLHSOperands[] = {funcArg0, iv};
|
|
mlirOperationStateAddOperands(&loadLHSState, 2, loadLHSOperands);
|
|
mlirOperationStateAddResults(&loadLHSState, 1, &f32Type);
|
|
MlirOperation loadLHS = mlirOperationCreate(&loadLHSState);
|
|
mlirBlockAppendOwnedOperation(loopBody, loadLHS);
|
|
|
|
MlirOperationState loadRHSState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("memref.load"), location);
|
|
MlirValue loadRHSOperands[] = {funcArg1, iv};
|
|
mlirOperationStateAddOperands(&loadRHSState, 2, loadRHSOperands);
|
|
mlirOperationStateAddResults(&loadRHSState, 1, &f32Type);
|
|
MlirOperation loadRHS = mlirOperationCreate(&loadRHSState);
|
|
mlirBlockAppendOwnedOperation(loopBody, loadRHS);
|
|
|
|
MlirOperationState addState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("arith.addf"), location);
|
|
MlirValue addOperands[] = {mlirOperationGetResult(loadLHS, 0),
|
|
mlirOperationGetResult(loadRHS, 0)};
|
|
mlirOperationStateAddOperands(&addState, 2, addOperands);
|
|
mlirOperationStateAddResults(&addState, 1, &f32Type);
|
|
MlirOperation add = mlirOperationCreate(&addState);
|
|
mlirBlockAppendOwnedOperation(loopBody, add);
|
|
|
|
MlirOperationState storeState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("memref.store"), location);
|
|
MlirValue storeOperands[] = {mlirOperationGetResult(add, 0), funcArg0, iv};
|
|
mlirOperationStateAddOperands(&storeState, 3, storeOperands);
|
|
MlirOperation store = mlirOperationCreate(&storeState);
|
|
mlirBlockAppendOwnedOperation(loopBody, store);
|
|
|
|
MlirOperationState yieldState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("scf.yield"), location);
|
|
MlirOperation yield = mlirOperationCreate(&yieldState);
|
|
mlirBlockAppendOwnedOperation(loopBody, yield);
|
|
}
|
|
|
|
MlirModule makeAndDumpAdd(MlirContext ctx, MlirLocation location) {
|
|
MlirModule moduleOp = mlirModuleCreateEmpty(location);
|
|
MlirBlock moduleBody = mlirModuleGetBody(moduleOp);
|
|
|
|
MlirType memrefType =
|
|
mlirTypeParseGet(ctx, mlirStringRefCreateFromCString("memref<?xf32>"));
|
|
MlirType funcBodyArgTypes[] = {memrefType, memrefType};
|
|
MlirLocation funcBodyArgLocs[] = {location, location};
|
|
MlirRegion funcBodyRegion = mlirRegionCreate();
|
|
MlirBlock funcBody =
|
|
mlirBlockCreate(sizeof(funcBodyArgTypes) / sizeof(MlirType),
|
|
funcBodyArgTypes, funcBodyArgLocs);
|
|
mlirRegionAppendOwnedBlock(funcBodyRegion, funcBody);
|
|
|
|
MlirAttribute funcTypeAttr = mlirAttributeParseGet(
|
|
ctx,
|
|
mlirStringRefCreateFromCString("(memref<?xf32>, memref<?xf32>) -> ()"));
|
|
MlirAttribute funcNameAttr =
|
|
mlirAttributeParseGet(ctx, mlirStringRefCreateFromCString("\"add\""));
|
|
MlirNamedAttribute funcAttrs[] = {
|
|
mlirNamedAttributeGet(
|
|
mlirIdentifierGet(ctx,
|
|
mlirStringRefCreateFromCString("function_type")),
|
|
funcTypeAttr),
|
|
mlirNamedAttributeGet(
|
|
mlirIdentifierGet(ctx, mlirStringRefCreateFromCString("sym_name")),
|
|
funcNameAttr)};
|
|
MlirOperationState funcState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("func.func"), location);
|
|
mlirOperationStateAddAttributes(&funcState, 2, funcAttrs);
|
|
mlirOperationStateAddOwnedRegions(&funcState, 1, &funcBodyRegion);
|
|
MlirOperation func = mlirOperationCreate(&funcState);
|
|
mlirBlockInsertOwnedOperation(moduleBody, 0, func);
|
|
|
|
MlirType indexType =
|
|
mlirTypeParseGet(ctx, mlirStringRefCreateFromCString("index"));
|
|
MlirAttribute indexZeroLiteral =
|
|
mlirAttributeParseGet(ctx, mlirStringRefCreateFromCString("0 : index"));
|
|
MlirNamedAttribute indexZeroValueAttr = mlirNamedAttributeGet(
|
|
mlirIdentifierGet(ctx, mlirStringRefCreateFromCString("value")),
|
|
indexZeroLiteral);
|
|
MlirOperationState constZeroState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("arith.constant"), location);
|
|
mlirOperationStateAddResults(&constZeroState, 1, &indexType);
|
|
mlirOperationStateAddAttributes(&constZeroState, 1, &indexZeroValueAttr);
|
|
MlirOperation constZero = mlirOperationCreate(&constZeroState);
|
|
mlirBlockAppendOwnedOperation(funcBody, constZero);
|
|
|
|
MlirValue funcArg0 = mlirBlockGetArgument(funcBody, 0);
|
|
MlirValue constZeroValue = mlirOperationGetResult(constZero, 0);
|
|
MlirValue dimOperands[] = {funcArg0, constZeroValue};
|
|
MlirOperationState dimState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("memref.dim"), location);
|
|
mlirOperationStateAddOperands(&dimState, 2, dimOperands);
|
|
mlirOperationStateAddResults(&dimState, 1, &indexType);
|
|
MlirOperation dim = mlirOperationCreate(&dimState);
|
|
mlirBlockAppendOwnedOperation(funcBody, dim);
|
|
|
|
MlirRegion loopBodyRegion = mlirRegionCreate();
|
|
MlirBlock loopBody = mlirBlockCreate(0, NULL, NULL);
|
|
mlirBlockAddArgument(loopBody, indexType, location);
|
|
mlirRegionAppendOwnedBlock(loopBodyRegion, loopBody);
|
|
|
|
MlirAttribute indexOneLiteral =
|
|
mlirAttributeParseGet(ctx, mlirStringRefCreateFromCString("1 : index"));
|
|
MlirNamedAttribute indexOneValueAttr = mlirNamedAttributeGet(
|
|
mlirIdentifierGet(ctx, mlirStringRefCreateFromCString("value")),
|
|
indexOneLiteral);
|
|
MlirOperationState constOneState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("arith.constant"), location);
|
|
mlirOperationStateAddResults(&constOneState, 1, &indexType);
|
|
mlirOperationStateAddAttributes(&constOneState, 1, &indexOneValueAttr);
|
|
MlirOperation constOne = mlirOperationCreate(&constOneState);
|
|
mlirBlockAppendOwnedOperation(funcBody, constOne);
|
|
|
|
MlirValue dimValue = mlirOperationGetResult(dim, 0);
|
|
MlirValue constOneValue = mlirOperationGetResult(constOne, 0);
|
|
MlirValue loopOperands[] = {constZeroValue, dimValue, constOneValue};
|
|
MlirOperationState loopState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("scf.for"), location);
|
|
mlirOperationStateAddOperands(&loopState, 3, loopOperands);
|
|
mlirOperationStateAddOwnedRegions(&loopState, 1, &loopBodyRegion);
|
|
MlirOperation loop = mlirOperationCreate(&loopState);
|
|
mlirBlockAppendOwnedOperation(funcBody, loop);
|
|
|
|
populateLoopBody(ctx, loopBody, location, funcBody);
|
|
|
|
MlirOperationState retState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("func.return"), location);
|
|
MlirOperation ret = mlirOperationCreate(&retState);
|
|
mlirBlockAppendOwnedOperation(funcBody, ret);
|
|
|
|
MlirOperation module = mlirModuleGetOperation(moduleOp);
|
|
mlirOperationDump(module);
|
|
// clang-format off
|
|
// CHECK: module {
|
|
// CHECK: func @add(%[[ARG0:.*]]: memref<?xf32>, %[[ARG1:.*]]: memref<?xf32>) {
|
|
// CHECK: %[[C0:.*]] = arith.constant 0 : index
|
|
// CHECK: %[[DIM:.*]] = memref.dim %[[ARG0]], %[[C0]] : memref<?xf32>
|
|
// CHECK: %[[C1:.*]] = arith.constant 1 : index
|
|
// CHECK: scf.for %[[I:.*]] = %[[C0]] to %[[DIM]] step %[[C1]] {
|
|
// CHECK: %[[LHS:.*]] = memref.load %[[ARG0]][%[[I]]] : memref<?xf32>
|
|
// CHECK: %[[RHS:.*]] = memref.load %[[ARG1]][%[[I]]] : memref<?xf32>
|
|
// CHECK: %[[SUM:.*]] = arith.addf %[[LHS]], %[[RHS]] : f32
|
|
// CHECK: memref.store %[[SUM]], %[[ARG0]][%[[I]]] : memref<?xf32>
|
|
// CHECK: }
|
|
// CHECK: return
|
|
// CHECK: }
|
|
// CHECK: }
|
|
// clang-format on
|
|
|
|
return moduleOp;
|
|
}
|
|
|
|
struct OpListNode {
|
|
MlirOperation op;
|
|
struct OpListNode *next;
|
|
};
|
|
typedef struct OpListNode OpListNode;
|
|
|
|
struct ModuleStats {
|
|
unsigned numOperations;
|
|
unsigned numAttributes;
|
|
unsigned numBlocks;
|
|
unsigned numRegions;
|
|
unsigned numValues;
|
|
unsigned numBlockArguments;
|
|
unsigned numOpResults;
|
|
};
|
|
typedef struct ModuleStats ModuleStats;
|
|
|
|
int collectStatsSingle(OpListNode *head, ModuleStats *stats) {
|
|
MlirOperation operation = head->op;
|
|
stats->numOperations += 1;
|
|
stats->numValues += mlirOperationGetNumResults(operation);
|
|
stats->numAttributes += mlirOperationGetNumAttributes(operation);
|
|
|
|
unsigned numRegions = mlirOperationGetNumRegions(operation);
|
|
|
|
stats->numRegions += numRegions;
|
|
|
|
intptr_t numResults = mlirOperationGetNumResults(operation);
|
|
for (intptr_t i = 0; i < numResults; ++i) {
|
|
MlirValue result = mlirOperationGetResult(operation, i);
|
|
if (!mlirValueIsAOpResult(result))
|
|
return 1;
|
|
if (mlirValueIsABlockArgument(result))
|
|
return 2;
|
|
if (!mlirOperationEqual(operation, mlirOpResultGetOwner(result)))
|
|
return 3;
|
|
if (i != mlirOpResultGetResultNumber(result))
|
|
return 4;
|
|
++stats->numOpResults;
|
|
}
|
|
|
|
MlirRegion region = mlirOperationGetFirstRegion(operation);
|
|
while (!mlirRegionIsNull(region)) {
|
|
for (MlirBlock block = mlirRegionGetFirstBlock(region);
|
|
!mlirBlockIsNull(block); block = mlirBlockGetNextInRegion(block)) {
|
|
++stats->numBlocks;
|
|
intptr_t numArgs = mlirBlockGetNumArguments(block);
|
|
stats->numValues += numArgs;
|
|
for (intptr_t j = 0; j < numArgs; ++j) {
|
|
MlirValue arg = mlirBlockGetArgument(block, j);
|
|
if (!mlirValueIsABlockArgument(arg))
|
|
return 5;
|
|
if (mlirValueIsAOpResult(arg))
|
|
return 6;
|
|
if (!mlirBlockEqual(block, mlirBlockArgumentGetOwner(arg)))
|
|
return 7;
|
|
if (j != mlirBlockArgumentGetArgNumber(arg))
|
|
return 8;
|
|
++stats->numBlockArguments;
|
|
}
|
|
|
|
for (MlirOperation child = mlirBlockGetFirstOperation(block);
|
|
!mlirOperationIsNull(child);
|
|
child = mlirOperationGetNextInBlock(child)) {
|
|
OpListNode *node = malloc(sizeof(OpListNode));
|
|
node->op = child;
|
|
node->next = head->next;
|
|
head->next = node;
|
|
}
|
|
}
|
|
region = mlirRegionGetNextInOperation(region);
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
int collectStats(MlirOperation operation) {
|
|
OpListNode *head = malloc(sizeof(OpListNode));
|
|
head->op = operation;
|
|
head->next = NULL;
|
|
|
|
ModuleStats stats;
|
|
stats.numOperations = 0;
|
|
stats.numAttributes = 0;
|
|
stats.numBlocks = 0;
|
|
stats.numRegions = 0;
|
|
stats.numValues = 0;
|
|
stats.numBlockArguments = 0;
|
|
stats.numOpResults = 0;
|
|
|
|
do {
|
|
int retval = collectStatsSingle(head, &stats);
|
|
if (retval) {
|
|
free(head);
|
|
return retval;
|
|
}
|
|
OpListNode *next = head->next;
|
|
free(head);
|
|
head = next;
|
|
} while (head);
|
|
|
|
if (stats.numValues != stats.numBlockArguments + stats.numOpResults)
|
|
return 100;
|
|
|
|
fprintf(stderr, "@stats\n");
|
|
fprintf(stderr, "Number of operations: %u\n", stats.numOperations);
|
|
fprintf(stderr, "Number of attributes: %u\n", stats.numAttributes);
|
|
fprintf(stderr, "Number of blocks: %u\n", stats.numBlocks);
|
|
fprintf(stderr, "Number of regions: %u\n", stats.numRegions);
|
|
fprintf(stderr, "Number of values: %u\n", stats.numValues);
|
|
fprintf(stderr, "Number of block arguments: %u\n", stats.numBlockArguments);
|
|
fprintf(stderr, "Number of op results: %u\n", stats.numOpResults);
|
|
// clang-format off
|
|
// CHECK-LABEL: @stats
|
|
// CHECK: Number of operations: 12
|
|
// CHECK: Number of attributes: 4
|
|
// CHECK: Number of blocks: 3
|
|
// CHECK: Number of regions: 3
|
|
// CHECK: Number of values: 9
|
|
// CHECK: Number of block arguments: 3
|
|
// CHECK: Number of op results: 6
|
|
// clang-format on
|
|
return 0;
|
|
}
|
|
|
|
static void printToStderr(MlirStringRef str, void *userData) {
|
|
(void)userData;
|
|
fwrite(str.data, 1, str.length, stderr);
|
|
}
|
|
|
|
static void printFirstOfEach(MlirContext ctx, MlirOperation operation) {
|
|
// Assuming we are given a module, go to the first operation of the first
|
|
// function.
|
|
MlirRegion region = mlirOperationGetRegion(operation, 0);
|
|
MlirBlock block = mlirRegionGetFirstBlock(region);
|
|
operation = mlirBlockGetFirstOperation(block);
|
|
region = mlirOperationGetRegion(operation, 0);
|
|
MlirOperation parentOperation = operation;
|
|
block = mlirRegionGetFirstBlock(region);
|
|
operation = mlirBlockGetFirstOperation(block);
|
|
assert(mlirModuleIsNull(mlirModuleFromOperation(operation)));
|
|
|
|
// Verify that parent operation and block report correctly.
|
|
// CHECK: Parent operation eq: 1
|
|
fprintf(stderr, "Parent operation eq: %d\n",
|
|
mlirOperationEqual(mlirOperationGetParentOperation(operation),
|
|
parentOperation));
|
|
// CHECK: Block eq: 1
|
|
fprintf(stderr, "Block eq: %d\n",
|
|
mlirBlockEqual(mlirOperationGetBlock(operation), block));
|
|
// CHECK: Block parent operation eq: 1
|
|
fprintf(
|
|
stderr, "Block parent operation eq: %d\n",
|
|
mlirOperationEqual(mlirBlockGetParentOperation(block), parentOperation));
|
|
// CHECK: Block parent region eq: 1
|
|
fprintf(stderr, "Block parent region eq: %d\n",
|
|
mlirRegionEqual(mlirBlockGetParentRegion(block), region));
|
|
|
|
// In the module we created, the first operation of the first function is
|
|
// an "memref.dim", which has an attribute and a single result that we can
|
|
// use to test the printing mechanism.
|
|
mlirBlockPrint(block, printToStderr, NULL);
|
|
fprintf(stderr, "\n");
|
|
fprintf(stderr, "First operation: ");
|
|
mlirOperationPrint(operation, printToStderr, NULL);
|
|
fprintf(stderr, "\n");
|
|
// clang-format off
|
|
// CHECK: %[[C0:.*]] = arith.constant 0 : index
|
|
// CHECK: %[[DIM:.*]] = memref.dim %{{.*}}, %[[C0]] : memref<?xf32>
|
|
// CHECK: %[[C1:.*]] = arith.constant 1 : index
|
|
// CHECK: scf.for %[[I:.*]] = %[[C0]] to %[[DIM]] step %[[C1]] {
|
|
// CHECK: %[[LHS:.*]] = memref.load %{{.*}}[%[[I]]] : memref<?xf32>
|
|
// CHECK: %[[RHS:.*]] = memref.load %{{.*}}[%[[I]]] : memref<?xf32>
|
|
// CHECK: %[[SUM:.*]] = arith.addf %[[LHS]], %[[RHS]] : f32
|
|
// CHECK: memref.store %[[SUM]], %{{.*}}[%[[I]]] : memref<?xf32>
|
|
// CHECK: }
|
|
// CHECK: return
|
|
// CHECK: First operation: {{.*}} = arith.constant 0 : index
|
|
// clang-format on
|
|
|
|
// Get the operation name and print it.
|
|
MlirIdentifier ident = mlirOperationGetName(operation);
|
|
MlirStringRef identStr = mlirIdentifierStr(ident);
|
|
fprintf(stderr, "Operation name: '");
|
|
for (size_t i = 0; i < identStr.length; ++i)
|
|
fputc(identStr.data[i], stderr);
|
|
fprintf(stderr, "'\n");
|
|
// CHECK: Operation name: 'arith.constant'
|
|
|
|
// Get the identifier again and verify equal.
|
|
MlirIdentifier identAgain = mlirIdentifierGet(ctx, identStr);
|
|
fprintf(stderr, "Identifier equal: %d\n",
|
|
mlirIdentifierEqual(ident, identAgain));
|
|
// CHECK: Identifier equal: 1
|
|
|
|
// Get the block terminator and print it.
|
|
MlirOperation terminator = mlirBlockGetTerminator(block);
|
|
fprintf(stderr, "Terminator: ");
|
|
mlirOperationPrint(terminator, printToStderr, NULL);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: Terminator: return
|
|
|
|
// Get the attribute by index.
|
|
MlirNamedAttribute namedAttr0 = mlirOperationGetAttribute(operation, 0);
|
|
fprintf(stderr, "Get attr 0: ");
|
|
mlirAttributePrint(namedAttr0.attribute, printToStderr, NULL);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: Get attr 0: 0 : index
|
|
|
|
// Now re-get the attribute by name.
|
|
MlirAttribute attr0ByName = mlirOperationGetAttributeByName(
|
|
operation, mlirIdentifierStr(namedAttr0.name));
|
|
fprintf(stderr, "Get attr 0 by name: ");
|
|
mlirAttributePrint(attr0ByName, printToStderr, NULL);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: Get attr 0 by name: 0 : index
|
|
|
|
// Get a non-existing attribute and assert that it is null (sanity).
|
|
fprintf(stderr, "does_not_exist is null: %d\n",
|
|
mlirAttributeIsNull(mlirOperationGetAttributeByName(
|
|
operation, mlirStringRefCreateFromCString("does_not_exist"))));
|
|
// CHECK: does_not_exist is null: 1
|
|
|
|
// Get result 0 and its type.
|
|
MlirValue value = mlirOperationGetResult(operation, 0);
|
|
fprintf(stderr, "Result 0: ");
|
|
mlirValuePrint(value, printToStderr, NULL);
|
|
fprintf(stderr, "\n");
|
|
fprintf(stderr, "Value is null: %d\n", mlirValueIsNull(value));
|
|
// CHECK: Result 0: {{.*}} = arith.constant 0 : index
|
|
// CHECK: Value is null: 0
|
|
|
|
MlirType type = mlirValueGetType(value);
|
|
fprintf(stderr, "Result 0 type: ");
|
|
mlirTypePrint(type, printToStderr, NULL);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: Result 0 type: index
|
|
|
|
// Set a custom attribute.
|
|
mlirOperationSetAttributeByName(operation,
|
|
mlirStringRefCreateFromCString("custom_attr"),
|
|
mlirBoolAttrGet(ctx, 1));
|
|
fprintf(stderr, "Op with set attr: ");
|
|
mlirOperationPrint(operation, printToStderr, NULL);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: Op with set attr: {{.*}} {custom_attr = true}
|
|
|
|
// Remove the attribute.
|
|
fprintf(stderr, "Remove attr: %d\n",
|
|
mlirOperationRemoveAttributeByName(
|
|
operation, mlirStringRefCreateFromCString("custom_attr")));
|
|
fprintf(stderr, "Remove attr again: %d\n",
|
|
mlirOperationRemoveAttributeByName(
|
|
operation, mlirStringRefCreateFromCString("custom_attr")));
|
|
fprintf(stderr, "Removed attr is null: %d\n",
|
|
mlirAttributeIsNull(mlirOperationGetAttributeByName(
|
|
operation, mlirStringRefCreateFromCString("custom_attr"))));
|
|
// CHECK: Remove attr: 1
|
|
// CHECK: Remove attr again: 0
|
|
// CHECK: Removed attr is null: 1
|
|
|
|
// Add a large attribute to verify printing flags.
|
|
int64_t eltsShape[] = {4};
|
|
int32_t eltsData[] = {1, 2, 3, 4};
|
|
mlirOperationSetAttributeByName(
|
|
operation, mlirStringRefCreateFromCString("elts"),
|
|
mlirDenseElementsAttrInt32Get(
|
|
mlirRankedTensorTypeGet(1, eltsShape, mlirIntegerTypeGet(ctx, 32),
|
|
mlirAttributeGetNull()),
|
|
4, eltsData));
|
|
MlirOpPrintingFlags flags = mlirOpPrintingFlagsCreate();
|
|
mlirOpPrintingFlagsElideLargeElementsAttrs(flags, 2);
|
|
mlirOpPrintingFlagsPrintGenericOpForm(flags);
|
|
mlirOpPrintingFlagsEnableDebugInfo(flags, /*prettyForm=*/0);
|
|
mlirOpPrintingFlagsUseLocalScope(flags);
|
|
fprintf(stderr, "Op print with all flags: ");
|
|
mlirOperationPrintWithFlags(operation, flags, printToStderr, NULL);
|
|
fprintf(stderr, "\n");
|
|
// clang-format off
|
|
// CHECK: Op print with all flags: %{{.*}} = "arith.constant"() {elts = opaque<"elided_large_const", "0xDEADBEEF"> : tensor<4xi32>, value = 0 : index} : () -> index loc(unknown)
|
|
// clang-format on
|
|
|
|
mlirOpPrintingFlagsDestroy(flags);
|
|
}
|
|
|
|
static int constructAndTraverseIr(MlirContext ctx) {
|
|
MlirLocation location = mlirLocationUnknownGet(ctx);
|
|
|
|
MlirModule moduleOp = makeAndDumpAdd(ctx, location);
|
|
MlirOperation module = mlirModuleGetOperation(moduleOp);
|
|
assert(!mlirModuleIsNull(mlirModuleFromOperation(module)));
|
|
|
|
int errcode = collectStats(module);
|
|
if (errcode)
|
|
return errcode;
|
|
|
|
printFirstOfEach(ctx, module);
|
|
|
|
mlirModuleDestroy(moduleOp);
|
|
return 0;
|
|
}
|
|
|
|
/// Creates an operation with a region containing multiple blocks with
|
|
/// operations and dumps it. The blocks and operations are inserted using
|
|
/// block/operation-relative API and their final order is checked.
|
|
static void buildWithInsertionsAndPrint(MlirContext ctx) {
|
|
MlirLocation loc = mlirLocationUnknownGet(ctx);
|
|
mlirContextSetAllowUnregisteredDialects(ctx, true);
|
|
|
|
MlirRegion owningRegion = mlirRegionCreate();
|
|
MlirBlock nullBlock = mlirRegionGetFirstBlock(owningRegion);
|
|
MlirOperationState state = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("insertion.order.test"), loc);
|
|
mlirOperationStateAddOwnedRegions(&state, 1, &owningRegion);
|
|
MlirOperation op = mlirOperationCreate(&state);
|
|
MlirRegion region = mlirOperationGetRegion(op, 0);
|
|
|
|
// Use integer types of different bitwidth as block arguments in order to
|
|
// differentiate blocks.
|
|
MlirType i1 = mlirIntegerTypeGet(ctx, 1);
|
|
MlirType i2 = mlirIntegerTypeGet(ctx, 2);
|
|
MlirType i3 = mlirIntegerTypeGet(ctx, 3);
|
|
MlirType i4 = mlirIntegerTypeGet(ctx, 4);
|
|
MlirType i5 = mlirIntegerTypeGet(ctx, 5);
|
|
MlirBlock block1 = mlirBlockCreate(1, &i1, &loc);
|
|
MlirBlock block2 = mlirBlockCreate(1, &i2, &loc);
|
|
MlirBlock block3 = mlirBlockCreate(1, &i3, &loc);
|
|
MlirBlock block4 = mlirBlockCreate(1, &i4, &loc);
|
|
MlirBlock block5 = mlirBlockCreate(1, &i5, &loc);
|
|
// Insert blocks so as to obtain the 1-2-3-4 order,
|
|
mlirRegionInsertOwnedBlockBefore(region, nullBlock, block3);
|
|
mlirRegionInsertOwnedBlockBefore(region, block3, block2);
|
|
mlirRegionInsertOwnedBlockAfter(region, nullBlock, block1);
|
|
mlirRegionInsertOwnedBlockAfter(region, block3, block4);
|
|
mlirRegionInsertOwnedBlockBefore(region, block3, block5);
|
|
|
|
MlirOperationState op1State =
|
|
mlirOperationStateGet(mlirStringRefCreateFromCString("dummy.op1"), loc);
|
|
MlirOperationState op2State =
|
|
mlirOperationStateGet(mlirStringRefCreateFromCString("dummy.op2"), loc);
|
|
MlirOperationState op3State =
|
|
mlirOperationStateGet(mlirStringRefCreateFromCString("dummy.op3"), loc);
|
|
MlirOperationState op4State =
|
|
mlirOperationStateGet(mlirStringRefCreateFromCString("dummy.op4"), loc);
|
|
MlirOperationState op5State =
|
|
mlirOperationStateGet(mlirStringRefCreateFromCString("dummy.op5"), loc);
|
|
MlirOperationState op6State =
|
|
mlirOperationStateGet(mlirStringRefCreateFromCString("dummy.op6"), loc);
|
|
MlirOperationState op7State =
|
|
mlirOperationStateGet(mlirStringRefCreateFromCString("dummy.op7"), loc);
|
|
MlirOperationState op8State =
|
|
mlirOperationStateGet(mlirStringRefCreateFromCString("dummy.op8"), loc);
|
|
MlirOperation op1 = mlirOperationCreate(&op1State);
|
|
MlirOperation op2 = mlirOperationCreate(&op2State);
|
|
MlirOperation op3 = mlirOperationCreate(&op3State);
|
|
MlirOperation op4 = mlirOperationCreate(&op4State);
|
|
MlirOperation op5 = mlirOperationCreate(&op5State);
|
|
MlirOperation op6 = mlirOperationCreate(&op6State);
|
|
MlirOperation op7 = mlirOperationCreate(&op7State);
|
|
MlirOperation op8 = mlirOperationCreate(&op8State);
|
|
|
|
// Insert operations in the first block so as to obtain the 1-2-3-4 order.
|
|
MlirOperation nullOperation = mlirBlockGetFirstOperation(block1);
|
|
assert(mlirOperationIsNull(nullOperation));
|
|
mlirBlockInsertOwnedOperationBefore(block1, nullOperation, op3);
|
|
mlirBlockInsertOwnedOperationBefore(block1, op3, op2);
|
|
mlirBlockInsertOwnedOperationAfter(block1, nullOperation, op1);
|
|
mlirBlockInsertOwnedOperationAfter(block1, op3, op4);
|
|
|
|
// Append operations to the rest of blocks to make them non-empty and thus
|
|
// printable.
|
|
mlirBlockAppendOwnedOperation(block2, op5);
|
|
mlirBlockAppendOwnedOperation(block3, op6);
|
|
mlirBlockAppendOwnedOperation(block4, op7);
|
|
mlirBlockAppendOwnedOperation(block5, op8);
|
|
|
|
// Remove block5.
|
|
mlirBlockDetach(block5);
|
|
mlirBlockDestroy(block5);
|
|
|
|
mlirOperationDump(op);
|
|
mlirOperationDestroy(op);
|
|
mlirContextSetAllowUnregisteredDialects(ctx, false);
|
|
// clang-format off
|
|
// CHECK-LABEL: "insertion.order.test"
|
|
// CHECK: ^{{.*}}(%{{.*}}: i1
|
|
// CHECK: "dummy.op1"
|
|
// CHECK-NEXT: "dummy.op2"
|
|
// CHECK-NEXT: "dummy.op3"
|
|
// CHECK-NEXT: "dummy.op4"
|
|
// CHECK: ^{{.*}}(%{{.*}}: i2
|
|
// CHECK: "dummy.op5"
|
|
// CHECK-NOT: ^{{.*}}(%{{.*}}: i5
|
|
// CHECK-NOT: "dummy.op8"
|
|
// CHECK: ^{{.*}}(%{{.*}}: i3
|
|
// CHECK: "dummy.op6"
|
|
// CHECK: ^{{.*}}(%{{.*}}: i4
|
|
// CHECK: "dummy.op7"
|
|
// clang-format on
|
|
}
|
|
|
|
/// Creates operations with type inference and tests various failure modes.
|
|
static int createOperationWithTypeInference(MlirContext ctx) {
|
|
MlirLocation loc = mlirLocationUnknownGet(ctx);
|
|
MlirAttribute iAttr = mlirIntegerAttrGet(mlirIntegerTypeGet(ctx, 32), 4);
|
|
|
|
// The shape.const_size op implements result type inference and is only used
|
|
// for that reason.
|
|
MlirOperationState state = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("shape.const_size"), loc);
|
|
MlirNamedAttribute valueAttr = mlirNamedAttributeGet(
|
|
mlirIdentifierGet(ctx, mlirStringRefCreateFromCString("value")), iAttr);
|
|
mlirOperationStateAddAttributes(&state, 1, &valueAttr);
|
|
mlirOperationStateEnableResultTypeInference(&state);
|
|
|
|
// Expect result type inference to succeed.
|
|
MlirOperation op = mlirOperationCreate(&state);
|
|
if (mlirOperationIsNull(op)) {
|
|
fprintf(stderr, "ERROR: Result type inference unexpectedly failed");
|
|
return 1;
|
|
}
|
|
|
|
// CHECK: RESULT_TYPE_INFERENCE: !shape.size
|
|
fprintf(stderr, "RESULT_TYPE_INFERENCE: ");
|
|
mlirTypeDump(mlirValueGetType(mlirOperationGetResult(op, 0)));
|
|
fprintf(stderr, "\n");
|
|
mlirOperationDestroy(op);
|
|
return 0;
|
|
}
|
|
|
|
/// Dumps instances of all builtin types to check that C API works correctly.
|
|
/// Additionally, performs simple identity checks that a builtin type
|
|
/// constructed with C API can be inspected and has the expected type. The
|
|
/// latter achieves full coverage of C API for builtin types. Returns 0 on
|
|
/// success and a non-zero error code on failure.
|
|
static int printBuiltinTypes(MlirContext ctx) {
|
|
// Integer types.
|
|
MlirType i32 = mlirIntegerTypeGet(ctx, 32);
|
|
MlirType si32 = mlirIntegerTypeSignedGet(ctx, 32);
|
|
MlirType ui32 = mlirIntegerTypeUnsignedGet(ctx, 32);
|
|
if (!mlirTypeIsAInteger(i32) || mlirTypeIsAF32(i32))
|
|
return 1;
|
|
if (!mlirTypeIsAInteger(si32) || !mlirIntegerTypeIsSigned(si32))
|
|
return 2;
|
|
if (!mlirTypeIsAInteger(ui32) || !mlirIntegerTypeIsUnsigned(ui32))
|
|
return 3;
|
|
if (mlirTypeEqual(i32, ui32) || mlirTypeEqual(i32, si32))
|
|
return 4;
|
|
if (mlirIntegerTypeGetWidth(i32) != mlirIntegerTypeGetWidth(si32))
|
|
return 5;
|
|
fprintf(stderr, "@types\n");
|
|
mlirTypeDump(i32);
|
|
fprintf(stderr, "\n");
|
|
mlirTypeDump(si32);
|
|
fprintf(stderr, "\n");
|
|
mlirTypeDump(ui32);
|
|
fprintf(stderr, "\n");
|
|
// CHECK-LABEL: @types
|
|
// CHECK: i32
|
|
// CHECK: si32
|
|
// CHECK: ui32
|
|
|
|
// Index type.
|
|
MlirType index = mlirIndexTypeGet(ctx);
|
|
if (!mlirTypeIsAIndex(index))
|
|
return 6;
|
|
mlirTypeDump(index);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: index
|
|
|
|
// Floating-point types.
|
|
MlirType bf16 = mlirBF16TypeGet(ctx);
|
|
MlirType f16 = mlirF16TypeGet(ctx);
|
|
MlirType f32 = mlirF32TypeGet(ctx);
|
|
MlirType f64 = mlirF64TypeGet(ctx);
|
|
if (!mlirTypeIsABF16(bf16))
|
|
return 7;
|
|
if (!mlirTypeIsAF16(f16))
|
|
return 9;
|
|
if (!mlirTypeIsAF32(f32))
|
|
return 10;
|
|
if (!mlirTypeIsAF64(f64))
|
|
return 11;
|
|
mlirTypeDump(bf16);
|
|
fprintf(stderr, "\n");
|
|
mlirTypeDump(f16);
|
|
fprintf(stderr, "\n");
|
|
mlirTypeDump(f32);
|
|
fprintf(stderr, "\n");
|
|
mlirTypeDump(f64);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: bf16
|
|
// CHECK: f16
|
|
// CHECK: f32
|
|
// CHECK: f64
|
|
|
|
// None type.
|
|
MlirType none = mlirNoneTypeGet(ctx);
|
|
if (!mlirTypeIsANone(none))
|
|
return 12;
|
|
mlirTypeDump(none);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: none
|
|
|
|
// Complex type.
|
|
MlirType cplx = mlirComplexTypeGet(f32);
|
|
if (!mlirTypeIsAComplex(cplx) ||
|
|
!mlirTypeEqual(mlirComplexTypeGetElementType(cplx), f32))
|
|
return 13;
|
|
mlirTypeDump(cplx);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: complex<f32>
|
|
|
|
// Vector (and Shaped) type. ShapedType is a common base class for vectors,
|
|
// memrefs and tensors, one cannot create instances of this class so it is
|
|
// tested on an instance of vector type.
|
|
int64_t shape[] = {2, 3};
|
|
MlirType vector =
|
|
mlirVectorTypeGet(sizeof(shape) / sizeof(int64_t), shape, f32);
|
|
if (!mlirTypeIsAVector(vector) || !mlirTypeIsAShaped(vector))
|
|
return 14;
|
|
if (!mlirTypeEqual(mlirShapedTypeGetElementType(vector), f32) ||
|
|
!mlirShapedTypeHasRank(vector) || mlirShapedTypeGetRank(vector) != 2 ||
|
|
mlirShapedTypeGetDimSize(vector, 0) != 2 ||
|
|
mlirShapedTypeIsDynamicDim(vector, 0) ||
|
|
mlirShapedTypeGetDimSize(vector, 1) != 3 ||
|
|
!mlirShapedTypeHasStaticShape(vector))
|
|
return 15;
|
|
mlirTypeDump(vector);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: vector<2x3xf32>
|
|
|
|
// Ranked tensor type.
|
|
MlirType rankedTensor = mlirRankedTensorTypeGet(
|
|
sizeof(shape) / sizeof(int64_t), shape, f32, mlirAttributeGetNull());
|
|
if (!mlirTypeIsATensor(rankedTensor) ||
|
|
!mlirTypeIsARankedTensor(rankedTensor) ||
|
|
!mlirAttributeIsNull(mlirRankedTensorTypeGetEncoding(rankedTensor)))
|
|
return 16;
|
|
mlirTypeDump(rankedTensor);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: tensor<2x3xf32>
|
|
|
|
// Unranked tensor type.
|
|
MlirType unrankedTensor = mlirUnrankedTensorTypeGet(f32);
|
|
if (!mlirTypeIsATensor(unrankedTensor) ||
|
|
!mlirTypeIsAUnrankedTensor(unrankedTensor) ||
|
|
mlirShapedTypeHasRank(unrankedTensor))
|
|
return 17;
|
|
mlirTypeDump(unrankedTensor);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: tensor<*xf32>
|
|
|
|
// MemRef type.
|
|
MlirAttribute memSpace2 = mlirIntegerAttrGet(mlirIntegerTypeGet(ctx, 64), 2);
|
|
MlirType memRef = mlirMemRefTypeContiguousGet(
|
|
f32, sizeof(shape) / sizeof(int64_t), shape, memSpace2);
|
|
if (!mlirTypeIsAMemRef(memRef) ||
|
|
!mlirAttributeEqual(mlirMemRefTypeGetMemorySpace(memRef), memSpace2))
|
|
return 18;
|
|
mlirTypeDump(memRef);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: memref<2x3xf32, 2>
|
|
|
|
// Unranked MemRef type.
|
|
MlirAttribute memSpace4 = mlirIntegerAttrGet(mlirIntegerTypeGet(ctx, 64), 4);
|
|
MlirType unrankedMemRef = mlirUnrankedMemRefTypeGet(f32, memSpace4);
|
|
if (!mlirTypeIsAUnrankedMemRef(unrankedMemRef) ||
|
|
mlirTypeIsAMemRef(unrankedMemRef) ||
|
|
!mlirAttributeEqual(mlirUnrankedMemrefGetMemorySpace(unrankedMemRef),
|
|
memSpace4))
|
|
return 19;
|
|
mlirTypeDump(unrankedMemRef);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: memref<*xf32, 4>
|
|
|
|
// Tuple type.
|
|
MlirType types[] = {unrankedMemRef, f32};
|
|
MlirType tuple = mlirTupleTypeGet(ctx, 2, types);
|
|
if (!mlirTypeIsATuple(tuple) || mlirTupleTypeGetNumTypes(tuple) != 2 ||
|
|
!mlirTypeEqual(mlirTupleTypeGetType(tuple, 0), unrankedMemRef) ||
|
|
!mlirTypeEqual(mlirTupleTypeGetType(tuple, 1), f32))
|
|
return 20;
|
|
mlirTypeDump(tuple);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: tuple<memref<*xf32, 4>, f32>
|
|
|
|
// Function type.
|
|
MlirType funcInputs[2] = {mlirIndexTypeGet(ctx), mlirIntegerTypeGet(ctx, 1)};
|
|
MlirType funcResults[3] = {mlirIntegerTypeGet(ctx, 16),
|
|
mlirIntegerTypeGet(ctx, 32),
|
|
mlirIntegerTypeGet(ctx, 64)};
|
|
MlirType funcType = mlirFunctionTypeGet(ctx, 2, funcInputs, 3, funcResults);
|
|
if (mlirFunctionTypeGetNumInputs(funcType) != 2)
|
|
return 21;
|
|
if (mlirFunctionTypeGetNumResults(funcType) != 3)
|
|
return 22;
|
|
if (!mlirTypeEqual(funcInputs[0], mlirFunctionTypeGetInput(funcType, 0)) ||
|
|
!mlirTypeEqual(funcInputs[1], mlirFunctionTypeGetInput(funcType, 1)))
|
|
return 23;
|
|
if (!mlirTypeEqual(funcResults[0], mlirFunctionTypeGetResult(funcType, 0)) ||
|
|
!mlirTypeEqual(funcResults[1], mlirFunctionTypeGetResult(funcType, 1)) ||
|
|
!mlirTypeEqual(funcResults[2], mlirFunctionTypeGetResult(funcType, 2)))
|
|
return 24;
|
|
mlirTypeDump(funcType);
|
|
fprintf(stderr, "\n");
|
|
// CHECK: (index, i1) -> (i16, i32, i64)
|
|
|
|
return 0;
|
|
}
|
|
|
|
void callbackSetFixedLengthString(const char *data, intptr_t len,
|
|
void *userData) {
|
|
strncpy(userData, data, len);
|
|
}
|
|
|
|
bool stringIsEqual(const char *lhs, MlirStringRef rhs) {
|
|
if (strlen(lhs) != rhs.length) {
|
|
return false;
|
|
}
|
|
return !strncmp(lhs, rhs.data, rhs.length);
|
|
}
|
|
|
|
int printBuiltinAttributes(MlirContext ctx) {
|
|
MlirAttribute floating =
|
|
mlirFloatAttrDoubleGet(ctx, mlirF64TypeGet(ctx), 2.0);
|
|
if (!mlirAttributeIsAFloat(floating) ||
|
|
fabs(mlirFloatAttrGetValueDouble(floating) - 2.0) > 1E-6)
|
|
return 1;
|
|
fprintf(stderr, "@attrs\n");
|
|
mlirAttributeDump(floating);
|
|
// CHECK-LABEL: @attrs
|
|
// CHECK: 2.000000e+00 : f64
|
|
|
|
// Exercise mlirAttributeGetType() just for the first one.
|
|
MlirType floatingType = mlirAttributeGetType(floating);
|
|
mlirTypeDump(floatingType);
|
|
// CHECK: f64
|
|
|
|
MlirAttribute integer = mlirIntegerAttrGet(mlirIntegerTypeGet(ctx, 32), 42);
|
|
MlirAttribute signedInteger =
|
|
mlirIntegerAttrGet(mlirIntegerTypeSignedGet(ctx, 8), -1);
|
|
MlirAttribute unsignedInteger =
|
|
mlirIntegerAttrGet(mlirIntegerTypeUnsignedGet(ctx, 8), 255);
|
|
if (!mlirAttributeIsAInteger(integer) ||
|
|
mlirIntegerAttrGetValueInt(integer) != 42 ||
|
|
mlirIntegerAttrGetValueSInt(signedInteger) != -1 ||
|
|
mlirIntegerAttrGetValueUInt(unsignedInteger) != 255)
|
|
return 2;
|
|
mlirAttributeDump(integer);
|
|
mlirAttributeDump(signedInteger);
|
|
mlirAttributeDump(unsignedInteger);
|
|
// CHECK: 42 : i32
|
|
// CHECK: -1 : si8
|
|
// CHECK: 255 : ui8
|
|
|
|
MlirAttribute boolean = mlirBoolAttrGet(ctx, 1);
|
|
if (!mlirAttributeIsABool(boolean) || !mlirBoolAttrGetValue(boolean))
|
|
return 3;
|
|
mlirAttributeDump(boolean);
|
|
// CHECK: true
|
|
|
|
const char data[] = "abcdefghijklmnopqestuvwxyz";
|
|
MlirAttribute opaque =
|
|
mlirOpaqueAttrGet(ctx, mlirStringRefCreateFromCString("func"), 3, data,
|
|
mlirNoneTypeGet(ctx));
|
|
if (!mlirAttributeIsAOpaque(opaque) ||
|
|
!stringIsEqual("func", mlirOpaqueAttrGetDialectNamespace(opaque)))
|
|
return 4;
|
|
|
|
MlirStringRef opaqueData = mlirOpaqueAttrGetData(opaque);
|
|
if (opaqueData.length != 3 ||
|
|
strncmp(data, opaqueData.data, opaqueData.length))
|
|
return 5;
|
|
mlirAttributeDump(opaque);
|
|
// CHECK: #func.abc
|
|
|
|
MlirAttribute string =
|
|
mlirStringAttrGet(ctx, mlirStringRefCreate(data + 3, 2));
|
|
if (!mlirAttributeIsAString(string))
|
|
return 6;
|
|
|
|
MlirStringRef stringValue = mlirStringAttrGetValue(string);
|
|
if (stringValue.length != 2 ||
|
|
strncmp(data + 3, stringValue.data, stringValue.length))
|
|
return 7;
|
|
mlirAttributeDump(string);
|
|
// CHECK: "de"
|
|
|
|
MlirAttribute flatSymbolRef =
|
|
mlirFlatSymbolRefAttrGet(ctx, mlirStringRefCreate(data + 5, 3));
|
|
if (!mlirAttributeIsAFlatSymbolRef(flatSymbolRef))
|
|
return 8;
|
|
|
|
MlirStringRef flatSymbolRefValue =
|
|
mlirFlatSymbolRefAttrGetValue(flatSymbolRef);
|
|
if (flatSymbolRefValue.length != 3 ||
|
|
strncmp(data + 5, flatSymbolRefValue.data, flatSymbolRefValue.length))
|
|
return 9;
|
|
mlirAttributeDump(flatSymbolRef);
|
|
// CHECK: @fgh
|
|
|
|
MlirAttribute symbols[] = {flatSymbolRef, flatSymbolRef};
|
|
MlirAttribute symbolRef =
|
|
mlirSymbolRefAttrGet(ctx, mlirStringRefCreate(data + 8, 2), 2, symbols);
|
|
if (!mlirAttributeIsASymbolRef(symbolRef) ||
|
|
mlirSymbolRefAttrGetNumNestedReferences(symbolRef) != 2 ||
|
|
!mlirAttributeEqual(mlirSymbolRefAttrGetNestedReference(symbolRef, 0),
|
|
flatSymbolRef) ||
|
|
!mlirAttributeEqual(mlirSymbolRefAttrGetNestedReference(symbolRef, 1),
|
|
flatSymbolRef))
|
|
return 10;
|
|
|
|
MlirStringRef symbolRefLeaf = mlirSymbolRefAttrGetLeafReference(symbolRef);
|
|
MlirStringRef symbolRefRoot = mlirSymbolRefAttrGetRootReference(symbolRef);
|
|
if (symbolRefLeaf.length != 3 ||
|
|
strncmp(data + 5, symbolRefLeaf.data, symbolRefLeaf.length) ||
|
|
symbolRefRoot.length != 2 ||
|
|
strncmp(data + 8, symbolRefRoot.data, symbolRefRoot.length))
|
|
return 11;
|
|
mlirAttributeDump(symbolRef);
|
|
// CHECK: @ij::@fgh::@fgh
|
|
|
|
MlirAttribute type = mlirTypeAttrGet(mlirF32TypeGet(ctx));
|
|
if (!mlirAttributeIsAType(type) ||
|
|
!mlirTypeEqual(mlirF32TypeGet(ctx), mlirTypeAttrGetValue(type)))
|
|
return 12;
|
|
mlirAttributeDump(type);
|
|
// CHECK: f32
|
|
|
|
MlirAttribute unit = mlirUnitAttrGet(ctx);
|
|
if (!mlirAttributeIsAUnit(unit))
|
|
return 13;
|
|
mlirAttributeDump(unit);
|
|
// CHECK: unit
|
|
|
|
int64_t shape[] = {1, 2};
|
|
|
|
int bools[] = {0, 1};
|
|
uint8_t uints8[] = {0u, 1u};
|
|
int8_t ints8[] = {0, 1};
|
|
uint16_t uints16[] = {0u, 1u};
|
|
int16_t ints16[] = {0, 1};
|
|
uint32_t uints32[] = {0u, 1u};
|
|
int32_t ints32[] = {0, 1};
|
|
uint64_t uints64[] = {0u, 1u};
|
|
int64_t ints64[] = {0, 1};
|
|
float floats[] = {0.0f, 1.0f};
|
|
double doubles[] = {0.0, 1.0};
|
|
uint16_t bf16s[] = {0x0, 0x3f80};
|
|
MlirAttribute encoding = mlirAttributeGetNull();
|
|
MlirAttribute boolElements = mlirDenseElementsAttrBoolGet(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeGet(ctx, 1), encoding),
|
|
2, bools);
|
|
MlirAttribute uint8Elements = mlirDenseElementsAttrUInt8Get(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeUnsignedGet(ctx, 8),
|
|
encoding),
|
|
2, uints8);
|
|
MlirAttribute int8Elements = mlirDenseElementsAttrInt8Get(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeGet(ctx, 8), encoding),
|
|
2, ints8);
|
|
MlirAttribute uint16Elements = mlirDenseElementsAttrUInt16Get(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeUnsignedGet(ctx, 16),
|
|
encoding),
|
|
2, uints16);
|
|
MlirAttribute int16Elements = mlirDenseElementsAttrInt16Get(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeGet(ctx, 16), encoding),
|
|
2, ints16);
|
|
MlirAttribute uint32Elements = mlirDenseElementsAttrUInt32Get(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeUnsignedGet(ctx, 32),
|
|
encoding),
|
|
2, uints32);
|
|
MlirAttribute int32Elements = mlirDenseElementsAttrInt32Get(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeGet(ctx, 32), encoding),
|
|
2, ints32);
|
|
MlirAttribute uint64Elements = mlirDenseElementsAttrUInt64Get(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeUnsignedGet(ctx, 64),
|
|
encoding),
|
|
2, uints64);
|
|
MlirAttribute int64Elements = mlirDenseElementsAttrInt64Get(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeGet(ctx, 64), encoding),
|
|
2, ints64);
|
|
MlirAttribute floatElements = mlirDenseElementsAttrFloatGet(
|
|
mlirRankedTensorTypeGet(2, shape, mlirF32TypeGet(ctx), encoding), 2,
|
|
floats);
|
|
MlirAttribute doubleElements = mlirDenseElementsAttrDoubleGet(
|
|
mlirRankedTensorTypeGet(2, shape, mlirF64TypeGet(ctx), encoding), 2,
|
|
doubles);
|
|
MlirAttribute bf16Elements = mlirDenseElementsAttrBFloat16Get(
|
|
mlirRankedTensorTypeGet(2, shape, mlirBF16TypeGet(ctx), encoding), 2,
|
|
bf16s);
|
|
|
|
if (!mlirAttributeIsADenseElements(boolElements) ||
|
|
!mlirAttributeIsADenseElements(uint8Elements) ||
|
|
!mlirAttributeIsADenseElements(int8Elements) ||
|
|
!mlirAttributeIsADenseElements(uint32Elements) ||
|
|
!mlirAttributeIsADenseElements(int32Elements) ||
|
|
!mlirAttributeIsADenseElements(uint64Elements) ||
|
|
!mlirAttributeIsADenseElements(int64Elements) ||
|
|
!mlirAttributeIsADenseElements(floatElements) ||
|
|
!mlirAttributeIsADenseElements(doubleElements) ||
|
|
!mlirAttributeIsADenseElements(bf16Elements))
|
|
return 14;
|
|
|
|
if (mlirDenseElementsAttrGetBoolValue(boolElements, 1) != 1 ||
|
|
mlirDenseElementsAttrGetUInt8Value(uint8Elements, 1) != 1 ||
|
|
mlirDenseElementsAttrGetInt8Value(int8Elements, 1) != 1 ||
|
|
mlirDenseElementsAttrGetUInt16Value(uint16Elements, 1) != 1 ||
|
|
mlirDenseElementsAttrGetInt16Value(int16Elements, 1) != 1 ||
|
|
mlirDenseElementsAttrGetUInt32Value(uint32Elements, 1) != 1 ||
|
|
mlirDenseElementsAttrGetInt32Value(int32Elements, 1) != 1 ||
|
|
mlirDenseElementsAttrGetUInt64Value(uint64Elements, 1) != 1 ||
|
|
mlirDenseElementsAttrGetInt64Value(int64Elements, 1) != 1 ||
|
|
fabsf(mlirDenseElementsAttrGetFloatValue(floatElements, 1) - 1.0f) >
|
|
1E-6f ||
|
|
fabs(mlirDenseElementsAttrGetDoubleValue(doubleElements, 1) - 1.0) > 1E-6)
|
|
return 15;
|
|
|
|
mlirAttributeDump(boolElements);
|
|
mlirAttributeDump(uint8Elements);
|
|
mlirAttributeDump(int8Elements);
|
|
mlirAttributeDump(uint32Elements);
|
|
mlirAttributeDump(int32Elements);
|
|
mlirAttributeDump(uint64Elements);
|
|
mlirAttributeDump(int64Elements);
|
|
mlirAttributeDump(floatElements);
|
|
mlirAttributeDump(doubleElements);
|
|
mlirAttributeDump(bf16Elements);
|
|
// CHECK: dense<{{\[}}[false, true]]> : tensor<1x2xi1>
|
|
// CHECK: dense<{{\[}}[0, 1]]> : tensor<1x2xui8>
|
|
// CHECK: dense<{{\[}}[0, 1]]> : tensor<1x2xi8>
|
|
// CHECK: dense<{{\[}}[0, 1]]> : tensor<1x2xui32>
|
|
// CHECK: dense<{{\[}}[0, 1]]> : tensor<1x2xi32>
|
|
// CHECK: dense<{{\[}}[0, 1]]> : tensor<1x2xui64>
|
|
// CHECK: dense<{{\[}}[0, 1]]> : tensor<1x2xi64>
|
|
// CHECK: dense<{{\[}}[0.000000e+00, 1.000000e+00]]> : tensor<1x2xf32>
|
|
// CHECK: dense<{{\[}}[0.000000e+00, 1.000000e+00]]> : tensor<1x2xf64>
|
|
// CHECK: dense<{{\[}}[0.000000e+00, 1.000000e+00]]> : tensor<1x2xbf16>
|
|
|
|
MlirAttribute splatBool = mlirDenseElementsAttrBoolSplatGet(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeGet(ctx, 1), encoding),
|
|
1);
|
|
MlirAttribute splatUInt8 = mlirDenseElementsAttrUInt8SplatGet(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeUnsignedGet(ctx, 8),
|
|
encoding),
|
|
1);
|
|
MlirAttribute splatInt8 = mlirDenseElementsAttrInt8SplatGet(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeGet(ctx, 8), encoding),
|
|
1);
|
|
MlirAttribute splatUInt32 = mlirDenseElementsAttrUInt32SplatGet(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeUnsignedGet(ctx, 32),
|
|
encoding),
|
|
1);
|
|
MlirAttribute splatInt32 = mlirDenseElementsAttrInt32SplatGet(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeGet(ctx, 32), encoding),
|
|
1);
|
|
MlirAttribute splatUInt64 = mlirDenseElementsAttrUInt64SplatGet(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeUnsignedGet(ctx, 64),
|
|
encoding),
|
|
1);
|
|
MlirAttribute splatInt64 = mlirDenseElementsAttrInt64SplatGet(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeGet(ctx, 64), encoding),
|
|
1);
|
|
MlirAttribute splatFloat = mlirDenseElementsAttrFloatSplatGet(
|
|
mlirRankedTensorTypeGet(2, shape, mlirF32TypeGet(ctx), encoding), 1.0f);
|
|
MlirAttribute splatDouble = mlirDenseElementsAttrDoubleSplatGet(
|
|
mlirRankedTensorTypeGet(2, shape, mlirF64TypeGet(ctx), encoding), 1.0);
|
|
|
|
if (!mlirAttributeIsADenseElements(splatBool) ||
|
|
!mlirDenseElementsAttrIsSplat(splatBool) ||
|
|
!mlirAttributeIsADenseElements(splatUInt8) ||
|
|
!mlirDenseElementsAttrIsSplat(splatUInt8) ||
|
|
!mlirAttributeIsADenseElements(splatInt8) ||
|
|
!mlirDenseElementsAttrIsSplat(splatInt8) ||
|
|
!mlirAttributeIsADenseElements(splatUInt32) ||
|
|
!mlirDenseElementsAttrIsSplat(splatUInt32) ||
|
|
!mlirAttributeIsADenseElements(splatInt32) ||
|
|
!mlirDenseElementsAttrIsSplat(splatInt32) ||
|
|
!mlirAttributeIsADenseElements(splatUInt64) ||
|
|
!mlirDenseElementsAttrIsSplat(splatUInt64) ||
|
|
!mlirAttributeIsADenseElements(splatInt64) ||
|
|
!mlirDenseElementsAttrIsSplat(splatInt64) ||
|
|
!mlirAttributeIsADenseElements(splatFloat) ||
|
|
!mlirDenseElementsAttrIsSplat(splatFloat) ||
|
|
!mlirAttributeIsADenseElements(splatDouble) ||
|
|
!mlirDenseElementsAttrIsSplat(splatDouble))
|
|
return 16;
|
|
|
|
if (mlirDenseElementsAttrGetBoolSplatValue(splatBool) != 1 ||
|
|
mlirDenseElementsAttrGetUInt8SplatValue(splatUInt8) != 1 ||
|
|
mlirDenseElementsAttrGetInt8SplatValue(splatInt8) != 1 ||
|
|
mlirDenseElementsAttrGetUInt32SplatValue(splatUInt32) != 1 ||
|
|
mlirDenseElementsAttrGetInt32SplatValue(splatInt32) != 1 ||
|
|
mlirDenseElementsAttrGetUInt64SplatValue(splatUInt64) != 1 ||
|
|
mlirDenseElementsAttrGetInt64SplatValue(splatInt64) != 1 ||
|
|
fabsf(mlirDenseElementsAttrGetFloatSplatValue(splatFloat) - 1.0f) >
|
|
1E-6f ||
|
|
fabs(mlirDenseElementsAttrGetDoubleSplatValue(splatDouble) - 1.0) > 1E-6)
|
|
return 17;
|
|
|
|
uint8_t *uint8RawData =
|
|
(uint8_t *)mlirDenseElementsAttrGetRawData(uint8Elements);
|
|
int8_t *int8RawData = (int8_t *)mlirDenseElementsAttrGetRawData(int8Elements);
|
|
uint32_t *uint32RawData =
|
|
(uint32_t *)mlirDenseElementsAttrGetRawData(uint32Elements);
|
|
int32_t *int32RawData =
|
|
(int32_t *)mlirDenseElementsAttrGetRawData(int32Elements);
|
|
uint64_t *uint64RawData =
|
|
(uint64_t *)mlirDenseElementsAttrGetRawData(uint64Elements);
|
|
int64_t *int64RawData =
|
|
(int64_t *)mlirDenseElementsAttrGetRawData(int64Elements);
|
|
float *floatRawData = (float *)mlirDenseElementsAttrGetRawData(floatElements);
|
|
double *doubleRawData =
|
|
(double *)mlirDenseElementsAttrGetRawData(doubleElements);
|
|
uint16_t *bf16RawData =
|
|
(uint16_t *)mlirDenseElementsAttrGetRawData(bf16Elements);
|
|
if (uint8RawData[0] != 0u || uint8RawData[1] != 1u || int8RawData[0] != 0 ||
|
|
int8RawData[1] != 1 || uint32RawData[0] != 0u || uint32RawData[1] != 1u ||
|
|
int32RawData[0] != 0 || int32RawData[1] != 1 || uint64RawData[0] != 0u ||
|
|
uint64RawData[1] != 1u || int64RawData[0] != 0 || int64RawData[1] != 1 ||
|
|
floatRawData[0] != 0.0f || floatRawData[1] != 1.0f ||
|
|
doubleRawData[0] != 0.0 || doubleRawData[1] != 1.0 ||
|
|
bf16RawData[0] != 0 || bf16RawData[1] != 0x3f80)
|
|
return 18;
|
|
|
|
mlirAttributeDump(splatBool);
|
|
mlirAttributeDump(splatUInt8);
|
|
mlirAttributeDump(splatInt8);
|
|
mlirAttributeDump(splatUInt32);
|
|
mlirAttributeDump(splatInt32);
|
|
mlirAttributeDump(splatUInt64);
|
|
mlirAttributeDump(splatInt64);
|
|
mlirAttributeDump(splatFloat);
|
|
mlirAttributeDump(splatDouble);
|
|
// CHECK: dense<true> : tensor<1x2xi1>
|
|
// CHECK: dense<1> : tensor<1x2xui8>
|
|
// CHECK: dense<1> : tensor<1x2xi8>
|
|
// CHECK: dense<1> : tensor<1x2xui32>
|
|
// CHECK: dense<1> : tensor<1x2xi32>
|
|
// CHECK: dense<1> : tensor<1x2xui64>
|
|
// CHECK: dense<1> : tensor<1x2xi64>
|
|
// CHECK: dense<1.000000e+00> : tensor<1x2xf32>
|
|
// CHECK: dense<1.000000e+00> : tensor<1x2xf64>
|
|
|
|
mlirAttributeDump(mlirElementsAttrGetValue(floatElements, 2, uints64));
|
|
mlirAttributeDump(mlirElementsAttrGetValue(doubleElements, 2, uints64));
|
|
mlirAttributeDump(mlirElementsAttrGetValue(bf16Elements, 2, uints64));
|
|
// CHECK: 1.000000e+00 : f32
|
|
// CHECK: 1.000000e+00 : f64
|
|
// CHECK: 1.000000e+00 : bf16
|
|
|
|
int64_t indices[] = {0, 1};
|
|
int64_t one = 1;
|
|
MlirAttribute indicesAttr = mlirDenseElementsAttrInt64Get(
|
|
mlirRankedTensorTypeGet(2, shape, mlirIntegerTypeGet(ctx, 64), encoding),
|
|
2, indices);
|
|
MlirAttribute valuesAttr = mlirDenseElementsAttrFloatGet(
|
|
mlirRankedTensorTypeGet(1, &one, mlirF32TypeGet(ctx), encoding), 1,
|
|
floats);
|
|
MlirAttribute sparseAttr = mlirSparseElementsAttribute(
|
|
mlirRankedTensorTypeGet(2, shape, mlirF32TypeGet(ctx), encoding),
|
|
indicesAttr, valuesAttr);
|
|
mlirAttributeDump(sparseAttr);
|
|
// CHECK: sparse<{{\[}}[0, 1]], 0.000000e+00> : tensor<1x2xf32>
|
|
|
|
return 0;
|
|
}
|
|
|
|
int printAffineMap(MlirContext ctx) {
|
|
MlirAffineMap emptyAffineMap = mlirAffineMapEmptyGet(ctx);
|
|
MlirAffineMap affineMap = mlirAffineMapZeroResultGet(ctx, 3, 2);
|
|
MlirAffineMap constAffineMap = mlirAffineMapConstantGet(ctx, 2);
|
|
MlirAffineMap multiDimIdentityAffineMap =
|
|
mlirAffineMapMultiDimIdentityGet(ctx, 3);
|
|
MlirAffineMap minorIdentityAffineMap =
|
|
mlirAffineMapMinorIdentityGet(ctx, 3, 2);
|
|
unsigned permutation[] = {1, 2, 0};
|
|
MlirAffineMap permutationAffineMap = mlirAffineMapPermutationGet(
|
|
ctx, sizeof(permutation) / sizeof(unsigned), permutation);
|
|
|
|
fprintf(stderr, "@affineMap\n");
|
|
mlirAffineMapDump(emptyAffineMap);
|
|
mlirAffineMapDump(affineMap);
|
|
mlirAffineMapDump(constAffineMap);
|
|
mlirAffineMapDump(multiDimIdentityAffineMap);
|
|
mlirAffineMapDump(minorIdentityAffineMap);
|
|
mlirAffineMapDump(permutationAffineMap);
|
|
// CHECK-LABEL: @affineMap
|
|
// CHECK: () -> ()
|
|
// CHECK: (d0, d1, d2)[s0, s1] -> ()
|
|
// CHECK: () -> (2)
|
|
// CHECK: (d0, d1, d2) -> (d0, d1, d2)
|
|
// CHECK: (d0, d1, d2) -> (d1, d2)
|
|
// CHECK: (d0, d1, d2) -> (d1, d2, d0)
|
|
|
|
if (!mlirAffineMapIsIdentity(emptyAffineMap) ||
|
|
mlirAffineMapIsIdentity(affineMap) ||
|
|
mlirAffineMapIsIdentity(constAffineMap) ||
|
|
!mlirAffineMapIsIdentity(multiDimIdentityAffineMap) ||
|
|
mlirAffineMapIsIdentity(minorIdentityAffineMap) ||
|
|
mlirAffineMapIsIdentity(permutationAffineMap))
|
|
return 1;
|
|
|
|
if (!mlirAffineMapIsMinorIdentity(emptyAffineMap) ||
|
|
mlirAffineMapIsMinorIdentity(affineMap) ||
|
|
!mlirAffineMapIsMinorIdentity(multiDimIdentityAffineMap) ||
|
|
!mlirAffineMapIsMinorIdentity(minorIdentityAffineMap) ||
|
|
mlirAffineMapIsMinorIdentity(permutationAffineMap))
|
|
return 2;
|
|
|
|
if (!mlirAffineMapIsEmpty(emptyAffineMap) ||
|
|
mlirAffineMapIsEmpty(affineMap) || mlirAffineMapIsEmpty(constAffineMap) ||
|
|
mlirAffineMapIsEmpty(multiDimIdentityAffineMap) ||
|
|
mlirAffineMapIsEmpty(minorIdentityAffineMap) ||
|
|
mlirAffineMapIsEmpty(permutationAffineMap))
|
|
return 3;
|
|
|
|
if (mlirAffineMapIsSingleConstant(emptyAffineMap) ||
|
|
mlirAffineMapIsSingleConstant(affineMap) ||
|
|
!mlirAffineMapIsSingleConstant(constAffineMap) ||
|
|
mlirAffineMapIsSingleConstant(multiDimIdentityAffineMap) ||
|
|
mlirAffineMapIsSingleConstant(minorIdentityAffineMap) ||
|
|
mlirAffineMapIsSingleConstant(permutationAffineMap))
|
|
return 4;
|
|
|
|
if (mlirAffineMapGetSingleConstantResult(constAffineMap) != 2)
|
|
return 5;
|
|
|
|
if (mlirAffineMapGetNumDims(emptyAffineMap) != 0 ||
|
|
mlirAffineMapGetNumDims(affineMap) != 3 ||
|
|
mlirAffineMapGetNumDims(constAffineMap) != 0 ||
|
|
mlirAffineMapGetNumDims(multiDimIdentityAffineMap) != 3 ||
|
|
mlirAffineMapGetNumDims(minorIdentityAffineMap) != 3 ||
|
|
mlirAffineMapGetNumDims(permutationAffineMap) != 3)
|
|
return 6;
|
|
|
|
if (mlirAffineMapGetNumSymbols(emptyAffineMap) != 0 ||
|
|
mlirAffineMapGetNumSymbols(affineMap) != 2 ||
|
|
mlirAffineMapGetNumSymbols(constAffineMap) != 0 ||
|
|
mlirAffineMapGetNumSymbols(multiDimIdentityAffineMap) != 0 ||
|
|
mlirAffineMapGetNumSymbols(minorIdentityAffineMap) != 0 ||
|
|
mlirAffineMapGetNumSymbols(permutationAffineMap) != 0)
|
|
return 7;
|
|
|
|
if (mlirAffineMapGetNumResults(emptyAffineMap) != 0 ||
|
|
mlirAffineMapGetNumResults(affineMap) != 0 ||
|
|
mlirAffineMapGetNumResults(constAffineMap) != 1 ||
|
|
mlirAffineMapGetNumResults(multiDimIdentityAffineMap) != 3 ||
|
|
mlirAffineMapGetNumResults(minorIdentityAffineMap) != 2 ||
|
|
mlirAffineMapGetNumResults(permutationAffineMap) != 3)
|
|
return 8;
|
|
|
|
if (mlirAffineMapGetNumInputs(emptyAffineMap) != 0 ||
|
|
mlirAffineMapGetNumInputs(affineMap) != 5 ||
|
|
mlirAffineMapGetNumInputs(constAffineMap) != 0 ||
|
|
mlirAffineMapGetNumInputs(multiDimIdentityAffineMap) != 3 ||
|
|
mlirAffineMapGetNumInputs(minorIdentityAffineMap) != 3 ||
|
|
mlirAffineMapGetNumInputs(permutationAffineMap) != 3)
|
|
return 9;
|
|
|
|
if (!mlirAffineMapIsProjectedPermutation(emptyAffineMap) ||
|
|
!mlirAffineMapIsPermutation(emptyAffineMap) ||
|
|
mlirAffineMapIsProjectedPermutation(affineMap) ||
|
|
mlirAffineMapIsPermutation(affineMap) ||
|
|
mlirAffineMapIsProjectedPermutation(constAffineMap) ||
|
|
mlirAffineMapIsPermutation(constAffineMap) ||
|
|
!mlirAffineMapIsProjectedPermutation(multiDimIdentityAffineMap) ||
|
|
!mlirAffineMapIsPermutation(multiDimIdentityAffineMap) ||
|
|
!mlirAffineMapIsProjectedPermutation(minorIdentityAffineMap) ||
|
|
mlirAffineMapIsPermutation(minorIdentityAffineMap) ||
|
|
!mlirAffineMapIsProjectedPermutation(permutationAffineMap) ||
|
|
!mlirAffineMapIsPermutation(permutationAffineMap))
|
|
return 10;
|
|
|
|
intptr_t sub[] = {1};
|
|
|
|
MlirAffineMap subMap = mlirAffineMapGetSubMap(
|
|
multiDimIdentityAffineMap, sizeof(sub) / sizeof(intptr_t), sub);
|
|
MlirAffineMap majorSubMap =
|
|
mlirAffineMapGetMajorSubMap(multiDimIdentityAffineMap, 1);
|
|
MlirAffineMap minorSubMap =
|
|
mlirAffineMapGetMinorSubMap(multiDimIdentityAffineMap, 1);
|
|
|
|
mlirAffineMapDump(subMap);
|
|
mlirAffineMapDump(majorSubMap);
|
|
mlirAffineMapDump(minorSubMap);
|
|
// CHECK: (d0, d1, d2) -> (d1)
|
|
// CHECK: (d0, d1, d2) -> (d0)
|
|
// CHECK: (d0, d1, d2) -> (d2)
|
|
|
|
return 0;
|
|
}
|
|
|
|
int printAffineExpr(MlirContext ctx) {
|
|
MlirAffineExpr affineDimExpr = mlirAffineDimExprGet(ctx, 5);
|
|
MlirAffineExpr affineSymbolExpr = mlirAffineSymbolExprGet(ctx, 5);
|
|
MlirAffineExpr affineConstantExpr = mlirAffineConstantExprGet(ctx, 5);
|
|
MlirAffineExpr affineAddExpr =
|
|
mlirAffineAddExprGet(affineDimExpr, affineSymbolExpr);
|
|
MlirAffineExpr affineMulExpr =
|
|
mlirAffineMulExprGet(affineDimExpr, affineSymbolExpr);
|
|
MlirAffineExpr affineModExpr =
|
|
mlirAffineModExprGet(affineDimExpr, affineSymbolExpr);
|
|
MlirAffineExpr affineFloorDivExpr =
|
|
mlirAffineFloorDivExprGet(affineDimExpr, affineSymbolExpr);
|
|
MlirAffineExpr affineCeilDivExpr =
|
|
mlirAffineCeilDivExprGet(affineDimExpr, affineSymbolExpr);
|
|
|
|
// Tests mlirAffineExprDump.
|
|
fprintf(stderr, "@affineExpr\n");
|
|
mlirAffineExprDump(affineDimExpr);
|
|
mlirAffineExprDump(affineSymbolExpr);
|
|
mlirAffineExprDump(affineConstantExpr);
|
|
mlirAffineExprDump(affineAddExpr);
|
|
mlirAffineExprDump(affineMulExpr);
|
|
mlirAffineExprDump(affineModExpr);
|
|
mlirAffineExprDump(affineFloorDivExpr);
|
|
mlirAffineExprDump(affineCeilDivExpr);
|
|
// CHECK-LABEL: @affineExpr
|
|
// CHECK: d5
|
|
// CHECK: s5
|
|
// CHECK: 5
|
|
// CHECK: d5 + s5
|
|
// CHECK: d5 * s5
|
|
// CHECK: d5 mod s5
|
|
// CHECK: d5 floordiv s5
|
|
// CHECK: d5 ceildiv s5
|
|
|
|
// Tests methods of affine binary operation expression, takes add expression
|
|
// as an example.
|
|
mlirAffineExprDump(mlirAffineBinaryOpExprGetLHS(affineAddExpr));
|
|
mlirAffineExprDump(mlirAffineBinaryOpExprGetRHS(affineAddExpr));
|
|
// CHECK: d5
|
|
// CHECK: s5
|
|
|
|
// Tests methods of affine dimension expression.
|
|
if (mlirAffineDimExprGetPosition(affineDimExpr) != 5)
|
|
return 1;
|
|
|
|
// Tests methods of affine symbol expression.
|
|
if (mlirAffineSymbolExprGetPosition(affineSymbolExpr) != 5)
|
|
return 2;
|
|
|
|
// Tests methods of affine constant expression.
|
|
if (mlirAffineConstantExprGetValue(affineConstantExpr) != 5)
|
|
return 3;
|
|
|
|
// Tests methods of affine expression.
|
|
if (mlirAffineExprIsSymbolicOrConstant(affineDimExpr) ||
|
|
!mlirAffineExprIsSymbolicOrConstant(affineSymbolExpr) ||
|
|
!mlirAffineExprIsSymbolicOrConstant(affineConstantExpr) ||
|
|
mlirAffineExprIsSymbolicOrConstant(affineAddExpr) ||
|
|
mlirAffineExprIsSymbolicOrConstant(affineMulExpr) ||
|
|
mlirAffineExprIsSymbolicOrConstant(affineModExpr) ||
|
|
mlirAffineExprIsSymbolicOrConstant(affineFloorDivExpr) ||
|
|
mlirAffineExprIsSymbolicOrConstant(affineCeilDivExpr))
|
|
return 4;
|
|
|
|
if (!mlirAffineExprIsPureAffine(affineDimExpr) ||
|
|
!mlirAffineExprIsPureAffine(affineSymbolExpr) ||
|
|
!mlirAffineExprIsPureAffine(affineConstantExpr) ||
|
|
!mlirAffineExprIsPureAffine(affineAddExpr) ||
|
|
mlirAffineExprIsPureAffine(affineMulExpr) ||
|
|
mlirAffineExprIsPureAffine(affineModExpr) ||
|
|
mlirAffineExprIsPureAffine(affineFloorDivExpr) ||
|
|
mlirAffineExprIsPureAffine(affineCeilDivExpr))
|
|
return 5;
|
|
|
|
if (mlirAffineExprGetLargestKnownDivisor(affineDimExpr) != 1 ||
|
|
mlirAffineExprGetLargestKnownDivisor(affineSymbolExpr) != 1 ||
|
|
mlirAffineExprGetLargestKnownDivisor(affineConstantExpr) != 5 ||
|
|
mlirAffineExprGetLargestKnownDivisor(affineAddExpr) != 1 ||
|
|
mlirAffineExprGetLargestKnownDivisor(affineMulExpr) != 1 ||
|
|
mlirAffineExprGetLargestKnownDivisor(affineModExpr) != 1 ||
|
|
mlirAffineExprGetLargestKnownDivisor(affineFloorDivExpr) != 1 ||
|
|
mlirAffineExprGetLargestKnownDivisor(affineCeilDivExpr) != 1)
|
|
return 6;
|
|
|
|
if (!mlirAffineExprIsMultipleOf(affineDimExpr, 1) ||
|
|
!mlirAffineExprIsMultipleOf(affineSymbolExpr, 1) ||
|
|
!mlirAffineExprIsMultipleOf(affineConstantExpr, 5) ||
|
|
!mlirAffineExprIsMultipleOf(affineAddExpr, 1) ||
|
|
!mlirAffineExprIsMultipleOf(affineMulExpr, 1) ||
|
|
!mlirAffineExprIsMultipleOf(affineModExpr, 1) ||
|
|
!mlirAffineExprIsMultipleOf(affineFloorDivExpr, 1) ||
|
|
!mlirAffineExprIsMultipleOf(affineCeilDivExpr, 1))
|
|
return 7;
|
|
|
|
if (!mlirAffineExprIsFunctionOfDim(affineDimExpr, 5) ||
|
|
mlirAffineExprIsFunctionOfDim(affineSymbolExpr, 5) ||
|
|
mlirAffineExprIsFunctionOfDim(affineConstantExpr, 5) ||
|
|
!mlirAffineExprIsFunctionOfDim(affineAddExpr, 5) ||
|
|
!mlirAffineExprIsFunctionOfDim(affineMulExpr, 5) ||
|
|
!mlirAffineExprIsFunctionOfDim(affineModExpr, 5) ||
|
|
!mlirAffineExprIsFunctionOfDim(affineFloorDivExpr, 5) ||
|
|
!mlirAffineExprIsFunctionOfDim(affineCeilDivExpr, 5))
|
|
return 8;
|
|
|
|
// Tests 'IsA' methods of affine binary operation expression.
|
|
if (!mlirAffineExprIsAAdd(affineAddExpr))
|
|
return 9;
|
|
|
|
if (!mlirAffineExprIsAMul(affineMulExpr))
|
|
return 10;
|
|
|
|
if (!mlirAffineExprIsAMod(affineModExpr))
|
|
return 11;
|
|
|
|
if (!mlirAffineExprIsAFloorDiv(affineFloorDivExpr))
|
|
return 12;
|
|
|
|
if (!mlirAffineExprIsACeilDiv(affineCeilDivExpr))
|
|
return 13;
|
|
|
|
if (!mlirAffineExprIsABinary(affineAddExpr))
|
|
return 14;
|
|
|
|
// Test other 'IsA' method on affine expressions.
|
|
if (!mlirAffineExprIsAConstant(affineConstantExpr))
|
|
return 15;
|
|
|
|
if (!mlirAffineExprIsADim(affineDimExpr))
|
|
return 16;
|
|
|
|
if (!mlirAffineExprIsASymbol(affineSymbolExpr))
|
|
return 17;
|
|
|
|
// Test equality and nullity.
|
|
MlirAffineExpr otherDimExpr = mlirAffineDimExprGet(ctx, 5);
|
|
if (!mlirAffineExprEqual(affineDimExpr, otherDimExpr))
|
|
return 18;
|
|
|
|
if (mlirAffineExprIsNull(affineDimExpr))
|
|
return 19;
|
|
|
|
return 0;
|
|
}
|
|
|
|
int affineMapFromExprs(MlirContext ctx) {
|
|
MlirAffineExpr affineDimExpr = mlirAffineDimExprGet(ctx, 0);
|
|
MlirAffineExpr affineSymbolExpr = mlirAffineSymbolExprGet(ctx, 1);
|
|
MlirAffineExpr exprs[] = {affineDimExpr, affineSymbolExpr};
|
|
MlirAffineMap map = mlirAffineMapGet(ctx, 3, 3, 2, exprs);
|
|
|
|
// CHECK-LABEL: @affineMapFromExprs
|
|
fprintf(stderr, "@affineMapFromExprs");
|
|
// CHECK: (d0, d1, d2)[s0, s1, s2] -> (d0, s1)
|
|
mlirAffineMapDump(map);
|
|
|
|
if (mlirAffineMapGetNumResults(map) != 2)
|
|
return 1;
|
|
|
|
if (!mlirAffineExprEqual(mlirAffineMapGetResult(map, 0), affineDimExpr))
|
|
return 2;
|
|
|
|
if (!mlirAffineExprEqual(mlirAffineMapGetResult(map, 1), affineSymbolExpr))
|
|
return 3;
|
|
|
|
MlirAffineExpr affineDim2Expr = mlirAffineDimExprGet(ctx, 1);
|
|
MlirAffineExpr composed = mlirAffineExprCompose(affineDim2Expr, map);
|
|
// CHECK: s1
|
|
mlirAffineExprDump(composed);
|
|
if (!mlirAffineExprEqual(composed, affineSymbolExpr))
|
|
return 4;
|
|
|
|
return 0;
|
|
}
|
|
|
|
int printIntegerSet(MlirContext ctx) {
|
|
MlirIntegerSet emptySet = mlirIntegerSetEmptyGet(ctx, 2, 1);
|
|
|
|
// CHECK-LABEL: @printIntegerSet
|
|
fprintf(stderr, "@printIntegerSet");
|
|
|
|
// CHECK: (d0, d1)[s0] : (1 == 0)
|
|
mlirIntegerSetDump(emptySet);
|
|
|
|
if (!mlirIntegerSetIsCanonicalEmpty(emptySet))
|
|
return 1;
|
|
|
|
MlirIntegerSet anotherEmptySet = mlirIntegerSetEmptyGet(ctx, 2, 1);
|
|
if (!mlirIntegerSetEqual(emptySet, anotherEmptySet))
|
|
return 2;
|
|
|
|
// Construct a set constrained by:
|
|
// d0 - s0 == 0,
|
|
// d1 - 42 >= 0.
|
|
MlirAffineExpr negOne = mlirAffineConstantExprGet(ctx, -1);
|
|
MlirAffineExpr negFortyTwo = mlirAffineConstantExprGet(ctx, -42);
|
|
MlirAffineExpr d0 = mlirAffineDimExprGet(ctx, 0);
|
|
MlirAffineExpr d1 = mlirAffineDimExprGet(ctx, 1);
|
|
MlirAffineExpr s0 = mlirAffineSymbolExprGet(ctx, 0);
|
|
MlirAffineExpr negS0 = mlirAffineMulExprGet(negOne, s0);
|
|
MlirAffineExpr d0minusS0 = mlirAffineAddExprGet(d0, negS0);
|
|
MlirAffineExpr d1minus42 = mlirAffineAddExprGet(d1, negFortyTwo);
|
|
MlirAffineExpr constraints[] = {d0minusS0, d1minus42};
|
|
bool flags[] = {true, false};
|
|
|
|
MlirIntegerSet set = mlirIntegerSetGet(ctx, 2, 1, 2, constraints, flags);
|
|
// CHECK: (d0, d1)[s0] : (
|
|
// CHECK-DAG: d0 - s0 == 0
|
|
// CHECK-DAG: d1 - 42 >= 0
|
|
mlirIntegerSetDump(set);
|
|
|
|
// Transform d1 into s0.
|
|
MlirAffineExpr s1 = mlirAffineSymbolExprGet(ctx, 1);
|
|
MlirAffineExpr repl[] = {d0, s1};
|
|
MlirIntegerSet replaced = mlirIntegerSetReplaceGet(set, repl, &s0, 1, 2);
|
|
// CHECK: (d0)[s0, s1] : (
|
|
// CHECK-DAG: d0 - s0 == 0
|
|
// CHECK-DAG: s1 - 42 >= 0
|
|
mlirIntegerSetDump(replaced);
|
|
|
|
if (mlirIntegerSetGetNumDims(set) != 2)
|
|
return 3;
|
|
if (mlirIntegerSetGetNumDims(replaced) != 1)
|
|
return 4;
|
|
|
|
if (mlirIntegerSetGetNumSymbols(set) != 1)
|
|
return 5;
|
|
if (mlirIntegerSetGetNumSymbols(replaced) != 2)
|
|
return 6;
|
|
|
|
if (mlirIntegerSetGetNumInputs(set) != 3)
|
|
return 7;
|
|
|
|
if (mlirIntegerSetGetNumConstraints(set) != 2)
|
|
return 8;
|
|
|
|
if (mlirIntegerSetGetNumEqualities(set) != 1)
|
|
return 9;
|
|
|
|
if (mlirIntegerSetGetNumInequalities(set) != 1)
|
|
return 10;
|
|
|
|
MlirAffineExpr cstr1 = mlirIntegerSetGetConstraint(set, 0);
|
|
MlirAffineExpr cstr2 = mlirIntegerSetGetConstraint(set, 1);
|
|
bool isEq1 = mlirIntegerSetIsConstraintEq(set, 0);
|
|
bool isEq2 = mlirIntegerSetIsConstraintEq(set, 1);
|
|
if (!mlirAffineExprEqual(cstr1, isEq1 ? d0minusS0 : d1minus42))
|
|
return 11;
|
|
if (!mlirAffineExprEqual(cstr2, isEq2 ? d0minusS0 : d1minus42))
|
|
return 12;
|
|
|
|
return 0;
|
|
}
|
|
|
|
int registerOnlyStd() {
|
|
MlirContext ctx = mlirContextCreate();
|
|
// The built-in dialect is always loaded.
|
|
if (mlirContextGetNumLoadedDialects(ctx) != 1)
|
|
return 1;
|
|
|
|
MlirDialectHandle stdHandle = mlirGetDialectHandle__func__();
|
|
|
|
MlirDialect std = mlirContextGetOrLoadDialect(
|
|
ctx, mlirDialectHandleGetNamespace(stdHandle));
|
|
if (!mlirDialectIsNull(std))
|
|
return 2;
|
|
|
|
mlirDialectHandleRegisterDialect(stdHandle, ctx);
|
|
|
|
std = mlirContextGetOrLoadDialect(ctx,
|
|
mlirDialectHandleGetNamespace(stdHandle));
|
|
if (mlirDialectIsNull(std))
|
|
return 3;
|
|
|
|
MlirDialect alsoStd = mlirDialectHandleLoadDialect(stdHandle, ctx);
|
|
if (!mlirDialectEqual(std, alsoStd))
|
|
return 4;
|
|
|
|
MlirStringRef stdNs = mlirDialectGetNamespace(std);
|
|
MlirStringRef alsoStdNs = mlirDialectHandleGetNamespace(stdHandle);
|
|
if (stdNs.length != alsoStdNs.length ||
|
|
strncmp(stdNs.data, alsoStdNs.data, stdNs.length))
|
|
return 5;
|
|
|
|
fprintf(stderr, "@registration\n");
|
|
// CHECK-LABEL: @registration
|
|
|
|
// CHECK: cf.cond_br is_registered: 1
|
|
fprintf(stderr, "cf.cond_br is_registered: %d\n",
|
|
mlirContextIsRegisteredOperation(
|
|
ctx, mlirStringRefCreateFromCString("cf.cond_br")));
|
|
|
|
// CHECK: func.not_existing_op is_registered: 0
|
|
fprintf(stderr, "func.not_existing_op is_registered: %d\n",
|
|
mlirContextIsRegisteredOperation(
|
|
ctx, mlirStringRefCreateFromCString("func.not_existing_op")));
|
|
|
|
// CHECK: not_existing_dialect.not_existing_op is_registered: 0
|
|
fprintf(stderr, "not_existing_dialect.not_existing_op is_registered: %d\n",
|
|
mlirContextIsRegisteredOperation(
|
|
ctx, mlirStringRefCreateFromCString(
|
|
"not_existing_dialect.not_existing_op")));
|
|
|
|
mlirContextDestroy(ctx);
|
|
return 0;
|
|
}
|
|
|
|
/// Tests backreference APIs
|
|
static int testBackreferences() {
|
|
fprintf(stderr, "@test_backreferences\n");
|
|
|
|
MlirContext ctx = mlirContextCreate();
|
|
mlirContextSetAllowUnregisteredDialects(ctx, true);
|
|
MlirLocation loc = mlirLocationUnknownGet(ctx);
|
|
|
|
MlirOperationState opState =
|
|
mlirOperationStateGet(mlirStringRefCreateFromCString("invalid.op"), loc);
|
|
MlirRegion region = mlirRegionCreate();
|
|
MlirBlock block = mlirBlockCreate(0, NULL, NULL);
|
|
mlirRegionAppendOwnedBlock(region, block);
|
|
mlirOperationStateAddOwnedRegions(&opState, 1, ®ion);
|
|
MlirOperation op = mlirOperationCreate(&opState);
|
|
MlirIdentifier ident =
|
|
mlirIdentifierGet(ctx, mlirStringRefCreateFromCString("identifier"));
|
|
|
|
if (!mlirContextEqual(ctx, mlirOperationGetContext(op))) {
|
|
fprintf(stderr, "ERROR: Getting context from operation failed\n");
|
|
return 1;
|
|
}
|
|
if (!mlirOperationEqual(op, mlirBlockGetParentOperation(block))) {
|
|
fprintf(stderr, "ERROR: Getting parent operation from block failed\n");
|
|
return 2;
|
|
}
|
|
if (!mlirContextEqual(ctx, mlirIdentifierGetContext(ident))) {
|
|
fprintf(stderr, "ERROR: Getting context from identifier failed\n");
|
|
return 3;
|
|
}
|
|
|
|
mlirOperationDestroy(op);
|
|
mlirContextDestroy(ctx);
|
|
|
|
// CHECK-LABEL: @test_backreferences
|
|
return 0;
|
|
}
|
|
|
|
/// Tests operand APIs.
|
|
int testOperands() {
|
|
fprintf(stderr, "@testOperands\n");
|
|
// CHECK-LABEL: @testOperands
|
|
|
|
MlirContext ctx = mlirContextCreate();
|
|
mlirRegisterAllDialects(ctx);
|
|
mlirContextGetOrLoadDialect(ctx, mlirStringRefCreateFromCString("test"));
|
|
MlirLocation loc = mlirLocationUnknownGet(ctx);
|
|
MlirType indexType = mlirIndexTypeGet(ctx);
|
|
|
|
// Create some constants to use as operands.
|
|
MlirAttribute indexZeroLiteral =
|
|
mlirAttributeParseGet(ctx, mlirStringRefCreateFromCString("0 : index"));
|
|
MlirNamedAttribute indexZeroValueAttr = mlirNamedAttributeGet(
|
|
mlirIdentifierGet(ctx, mlirStringRefCreateFromCString("value")),
|
|
indexZeroLiteral);
|
|
MlirOperationState constZeroState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("arith.constant"), loc);
|
|
mlirOperationStateAddResults(&constZeroState, 1, &indexType);
|
|
mlirOperationStateAddAttributes(&constZeroState, 1, &indexZeroValueAttr);
|
|
MlirOperation constZero = mlirOperationCreate(&constZeroState);
|
|
MlirValue constZeroValue = mlirOperationGetResult(constZero, 0);
|
|
|
|
MlirAttribute indexOneLiteral =
|
|
mlirAttributeParseGet(ctx, mlirStringRefCreateFromCString("1 : index"));
|
|
MlirNamedAttribute indexOneValueAttr = mlirNamedAttributeGet(
|
|
mlirIdentifierGet(ctx, mlirStringRefCreateFromCString("value")),
|
|
indexOneLiteral);
|
|
MlirOperationState constOneState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("arith.constant"), loc);
|
|
mlirOperationStateAddResults(&constOneState, 1, &indexType);
|
|
mlirOperationStateAddAttributes(&constOneState, 1, &indexOneValueAttr);
|
|
MlirOperation constOne = mlirOperationCreate(&constOneState);
|
|
MlirValue constOneValue = mlirOperationGetResult(constOne, 0);
|
|
|
|
// Create the operation under test.
|
|
mlirContextSetAllowUnregisteredDialects(ctx, true);
|
|
MlirOperationState opState =
|
|
mlirOperationStateGet(mlirStringRefCreateFromCString("dummy.op"), loc);
|
|
MlirValue initialOperands[] = {constZeroValue};
|
|
mlirOperationStateAddOperands(&opState, 1, initialOperands);
|
|
MlirOperation op = mlirOperationCreate(&opState);
|
|
|
|
// Test operand APIs.
|
|
intptr_t numOperands = mlirOperationGetNumOperands(op);
|
|
fprintf(stderr, "Num Operands: %" PRIdPTR "\n", numOperands);
|
|
// CHECK: Num Operands: 1
|
|
|
|
MlirValue opOperand = mlirOperationGetOperand(op, 0);
|
|
fprintf(stderr, "Original operand: ");
|
|
mlirValuePrint(opOperand, printToStderr, NULL);
|
|
// CHECK: Original operand: {{.+}} arith.constant 0 : index
|
|
|
|
mlirOperationSetOperand(op, 0, constOneValue);
|
|
opOperand = mlirOperationGetOperand(op, 0);
|
|
fprintf(stderr, "Updated operand: ");
|
|
mlirValuePrint(opOperand, printToStderr, NULL);
|
|
// CHECK: Updated operand: {{.+}} arith.constant 1 : index
|
|
|
|
mlirOperationDestroy(op);
|
|
mlirOperationDestroy(constZero);
|
|
mlirOperationDestroy(constOne);
|
|
mlirContextDestroy(ctx);
|
|
|
|
return 0;
|
|
}
|
|
|
|
/// Tests clone APIs.
|
|
int testClone() {
|
|
fprintf(stderr, "@testClone\n");
|
|
// CHECK-LABEL: @testClone
|
|
|
|
MlirContext ctx = mlirContextCreate();
|
|
mlirRegisterAllDialects(ctx);
|
|
mlirContextGetOrLoadDialect(ctx, mlirStringRefCreateFromCString("func"));
|
|
MlirLocation loc = mlirLocationUnknownGet(ctx);
|
|
MlirType indexType = mlirIndexTypeGet(ctx);
|
|
MlirStringRef valueStringRef = mlirStringRefCreateFromCString("value");
|
|
|
|
MlirAttribute indexZeroLiteral =
|
|
mlirAttributeParseGet(ctx, mlirStringRefCreateFromCString("0 : index"));
|
|
MlirNamedAttribute indexZeroValueAttr = mlirNamedAttributeGet(
|
|
mlirIdentifierGet(ctx, valueStringRef), indexZeroLiteral);
|
|
MlirOperationState constZeroState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("arith.constant"), loc);
|
|
mlirOperationStateAddResults(&constZeroState, 1, &indexType);
|
|
mlirOperationStateAddAttributes(&constZeroState, 1, &indexZeroValueAttr);
|
|
MlirOperation constZero = mlirOperationCreate(&constZeroState);
|
|
|
|
MlirAttribute indexOneLiteral =
|
|
mlirAttributeParseGet(ctx, mlirStringRefCreateFromCString("1 : index"));
|
|
MlirOperation constOne = mlirOperationClone(constZero);
|
|
mlirOperationSetAttributeByName(constOne, valueStringRef, indexOneLiteral);
|
|
|
|
mlirOperationPrint(constZero, printToStderr, NULL);
|
|
mlirOperationPrint(constOne, printToStderr, NULL);
|
|
// CHECK: arith.constant 0 : index
|
|
// CHECK: arith.constant 1 : index
|
|
|
|
mlirOperationDestroy(constZero);
|
|
mlirOperationDestroy(constOne);
|
|
mlirContextDestroy(ctx);
|
|
return 0;
|
|
}
|
|
|
|
// Wraps a diagnostic into additional text we can match against.
|
|
MlirLogicalResult errorHandler(MlirDiagnostic diagnostic, void *userData) {
|
|
fprintf(stderr, "processing diagnostic (userData: %" PRIdPTR ") <<\n",
|
|
(intptr_t)userData);
|
|
mlirDiagnosticPrint(diagnostic, printToStderr, NULL);
|
|
fprintf(stderr, "\n");
|
|
MlirLocation loc = mlirDiagnosticGetLocation(diagnostic);
|
|
mlirLocationPrint(loc, printToStderr, NULL);
|
|
assert(mlirDiagnosticGetNumNotes(diagnostic) == 0);
|
|
fprintf(stderr, "\n>> end of diagnostic (userData: %" PRIdPTR ")\n",
|
|
(intptr_t)userData);
|
|
return mlirLogicalResultSuccess();
|
|
}
|
|
|
|
// Logs when the delete user data callback is called
|
|
static void deleteUserData(void *userData) {
|
|
fprintf(stderr, "deleting user data (userData: %" PRIdPTR ")\n",
|
|
(intptr_t)userData);
|
|
}
|
|
|
|
int testTypeID(MlirContext ctx) {
|
|
fprintf(stderr, "@testTypeID\n");
|
|
|
|
// Test getting and comparing type and attribute type ids.
|
|
MlirType i32 = mlirIntegerTypeGet(ctx, 32);
|
|
MlirTypeID i32ID = mlirTypeGetTypeID(i32);
|
|
MlirType ui32 = mlirIntegerTypeUnsignedGet(ctx, 32);
|
|
MlirTypeID ui32ID = mlirTypeGetTypeID(ui32);
|
|
MlirType f32 = mlirF32TypeGet(ctx);
|
|
MlirTypeID f32ID = mlirTypeGetTypeID(f32);
|
|
MlirAttribute i32Attr = mlirIntegerAttrGet(i32, 1);
|
|
MlirTypeID i32AttrID = mlirAttributeGetTypeID(i32Attr);
|
|
|
|
if (mlirTypeIDIsNull(i32ID) || mlirTypeIDIsNull(ui32ID) ||
|
|
mlirTypeIDIsNull(f32ID) || mlirTypeIDIsNull(i32AttrID)) {
|
|
fprintf(stderr, "ERROR: Expected type ids to be present\n");
|
|
return 1;
|
|
}
|
|
|
|
if (!mlirTypeIDEqual(i32ID, ui32ID) ||
|
|
mlirTypeIDHashValue(i32ID) != mlirTypeIDHashValue(ui32ID)) {
|
|
fprintf(
|
|
stderr,
|
|
"ERROR: Expected different integer types to have the same type id\n");
|
|
return 2;
|
|
}
|
|
|
|
if (mlirTypeIDEqual(i32ID, f32ID)) {
|
|
fprintf(stderr,
|
|
"ERROR: Expected integer type id to not equal float type id\n");
|
|
return 3;
|
|
}
|
|
|
|
if (mlirTypeIDEqual(i32ID, i32AttrID)) {
|
|
fprintf(stderr, "ERROR: Expected integer type id to not equal integer "
|
|
"attribute type id\n");
|
|
return 4;
|
|
}
|
|
|
|
MlirLocation loc = mlirLocationUnknownGet(ctx);
|
|
MlirType indexType = mlirIndexTypeGet(ctx);
|
|
MlirStringRef valueStringRef = mlirStringRefCreateFromCString("value");
|
|
|
|
// Create a registered operation, which should have a type id.
|
|
MlirAttribute indexZeroLiteral =
|
|
mlirAttributeParseGet(ctx, mlirStringRefCreateFromCString("0 : index"));
|
|
MlirNamedAttribute indexZeroValueAttr = mlirNamedAttributeGet(
|
|
mlirIdentifierGet(ctx, valueStringRef), indexZeroLiteral);
|
|
MlirOperationState constZeroState = mlirOperationStateGet(
|
|
mlirStringRefCreateFromCString("arith.constant"), loc);
|
|
mlirOperationStateAddResults(&constZeroState, 1, &indexType);
|
|
mlirOperationStateAddAttributes(&constZeroState, 1, &indexZeroValueAttr);
|
|
MlirOperation constZero = mlirOperationCreate(&constZeroState);
|
|
|
|
if (!mlirOperationVerify(constZero)) {
|
|
fprintf(stderr, "ERROR: Expected operation to verify correctly\n");
|
|
return 5;
|
|
}
|
|
|
|
if (mlirOperationIsNull(constZero)) {
|
|
fprintf(stderr, "ERROR: Expected registered operation to be present\n");
|
|
return 6;
|
|
}
|
|
|
|
MlirTypeID registeredOpID = mlirOperationGetTypeID(constZero);
|
|
|
|
if (mlirTypeIDIsNull(registeredOpID)) {
|
|
fprintf(stderr,
|
|
"ERROR: Expected registered operation type id to be present\n");
|
|
return 7;
|
|
}
|
|
|
|
// Create an unregistered operation, which should not have a type id.
|
|
mlirContextSetAllowUnregisteredDialects(ctx, true);
|
|
MlirOperationState opState =
|
|
mlirOperationStateGet(mlirStringRefCreateFromCString("dummy.op"), loc);
|
|
MlirOperation unregisteredOp = mlirOperationCreate(&opState);
|
|
if (mlirOperationIsNull(unregisteredOp)) {
|
|
fprintf(stderr, "ERROR: Expected unregistered operation to be present\n");
|
|
return 8;
|
|
}
|
|
|
|
MlirTypeID unregisteredOpID = mlirOperationGetTypeID(unregisteredOp);
|
|
|
|
if (!mlirTypeIDIsNull(unregisteredOpID)) {
|
|
fprintf(stderr,
|
|
"ERROR: Expected unregistered operation type id to be null\n");
|
|
return 9;
|
|
}
|
|
|
|
mlirOperationDestroy(constZero);
|
|
mlirOperationDestroy(unregisteredOp);
|
|
|
|
return 0;
|
|
}
|
|
|
|
int testSymbolTable(MlirContext ctx) {
|
|
fprintf(stderr, "@testSymbolTable\n");
|
|
|
|
const char *moduleString = "func private @foo()"
|
|
"func private @bar()";
|
|
const char *otherModuleString = "func private @qux()"
|
|
"func private @foo()";
|
|
|
|
MlirModule module =
|
|
mlirModuleCreateParse(ctx, mlirStringRefCreateFromCString(moduleString));
|
|
MlirModule otherModule = mlirModuleCreateParse(
|
|
ctx, mlirStringRefCreateFromCString(otherModuleString));
|
|
|
|
MlirSymbolTable symbolTable =
|
|
mlirSymbolTableCreate(mlirModuleGetOperation(module));
|
|
|
|
MlirOperation funcFoo =
|
|
mlirSymbolTableLookup(symbolTable, mlirStringRefCreateFromCString("foo"));
|
|
if (mlirOperationIsNull(funcFoo))
|
|
return 1;
|
|
|
|
MlirOperation funcBar =
|
|
mlirSymbolTableLookup(symbolTable, mlirStringRefCreateFromCString("bar"));
|
|
if (mlirOperationEqual(funcFoo, funcBar))
|
|
return 2;
|
|
|
|
MlirOperation missing =
|
|
mlirSymbolTableLookup(symbolTable, mlirStringRefCreateFromCString("qux"));
|
|
if (!mlirOperationIsNull(missing))
|
|
return 3;
|
|
|
|
MlirBlock moduleBody = mlirModuleGetBody(module);
|
|
MlirBlock otherModuleBody = mlirModuleGetBody(otherModule);
|
|
MlirOperation operation = mlirBlockGetFirstOperation(otherModuleBody);
|
|
mlirOperationRemoveFromParent(operation);
|
|
mlirBlockAppendOwnedOperation(moduleBody, operation);
|
|
|
|
// At this moment, the operation is still missing from the symbol table.
|
|
MlirOperation stillMissing =
|
|
mlirSymbolTableLookup(symbolTable, mlirStringRefCreateFromCString("qux"));
|
|
if (!mlirOperationIsNull(stillMissing))
|
|
return 4;
|
|
|
|
// After it is added to the symbol table, and not only the operation with
|
|
// which the table is associated, it can be looked up.
|
|
mlirSymbolTableInsert(symbolTable, operation);
|
|
MlirOperation funcQux =
|
|
mlirSymbolTableLookup(symbolTable, mlirStringRefCreateFromCString("qux"));
|
|
if (!mlirOperationEqual(operation, funcQux))
|
|
return 5;
|
|
|
|
// Erasing from the symbol table also removes the operation.
|
|
mlirSymbolTableErase(symbolTable, funcBar);
|
|
MlirOperation nowMissing =
|
|
mlirSymbolTableLookup(symbolTable, mlirStringRefCreateFromCString("bar"));
|
|
if (!mlirOperationIsNull(nowMissing))
|
|
return 6;
|
|
|
|
// Adding a symbol with the same name to the table should rename.
|
|
MlirOperation duplicateNameOp = mlirBlockGetFirstOperation(otherModuleBody);
|
|
mlirOperationRemoveFromParent(duplicateNameOp);
|
|
mlirBlockAppendOwnedOperation(moduleBody, duplicateNameOp);
|
|
MlirAttribute newName = mlirSymbolTableInsert(symbolTable, duplicateNameOp);
|
|
MlirStringRef newNameStr = mlirStringAttrGetValue(newName);
|
|
if (mlirStringRefEqual(newNameStr, mlirStringRefCreateFromCString("foo")))
|
|
return 7;
|
|
MlirAttribute updatedName = mlirOperationGetAttributeByName(
|
|
duplicateNameOp, mlirSymbolTableGetSymbolAttributeName());
|
|
if (!mlirAttributeEqual(updatedName, newName))
|
|
return 8;
|
|
|
|
mlirOperationDump(mlirModuleGetOperation(module));
|
|
mlirOperationDump(mlirModuleGetOperation(otherModule));
|
|
// clang-format off
|
|
// CHECK-LABEL: @testSymbolTable
|
|
// CHECK: module
|
|
// CHECK: func private @foo
|
|
// CHECK: func private @qux
|
|
// CHECK: func private @foo{{.+}}
|
|
// CHECK: module
|
|
// CHECK-NOT: @qux
|
|
// CHECK-NOT: @foo
|
|
// clang-format on
|
|
|
|
mlirSymbolTableDestroy(symbolTable);
|
|
mlirModuleDestroy(module);
|
|
mlirModuleDestroy(otherModule);
|
|
|
|
return 0;
|
|
}
|
|
|
|
int testDialectRegistry() {
|
|
fprintf(stderr, "@testDialectRegistry\n");
|
|
|
|
MlirDialectRegistry registry = mlirDialectRegistryCreate();
|
|
if (mlirDialectRegistryIsNull(registry)) {
|
|
fprintf(stderr, "ERROR: Expected registry to be present\n");
|
|
return 1;
|
|
}
|
|
|
|
MlirDialectHandle stdHandle = mlirGetDialectHandle__func__();
|
|
mlirDialectHandleInsertDialect(stdHandle, registry);
|
|
|
|
MlirContext ctx = mlirContextCreate();
|
|
if (mlirContextGetNumRegisteredDialects(ctx) != 0) {
|
|
fprintf(stderr,
|
|
"ERROR: Expected no dialects to be registered to new context\n");
|
|
}
|
|
|
|
mlirContextAppendDialectRegistry(ctx, registry);
|
|
if (mlirContextGetNumRegisteredDialects(ctx) != 1) {
|
|
fprintf(stderr, "ERROR: Expected the dialect in the registry to be "
|
|
"registered to the context\n");
|
|
}
|
|
|
|
mlirContextDestroy(ctx);
|
|
mlirDialectRegistryDestroy(registry);
|
|
|
|
return 0;
|
|
}
|
|
|
|
void testDiagnostics() {
|
|
MlirContext ctx = mlirContextCreate();
|
|
MlirDiagnosticHandlerID id = mlirContextAttachDiagnosticHandler(
|
|
ctx, errorHandler, (void *)42, deleteUserData);
|
|
fprintf(stderr, "@test_diagnostics\n");
|
|
MlirLocation unknownLoc = mlirLocationUnknownGet(ctx);
|
|
mlirEmitError(unknownLoc, "test diagnostics");
|
|
MlirLocation fileLineColLoc = mlirLocationFileLineColGet(
|
|
ctx, mlirStringRefCreateFromCString("file.c"), 1, 2);
|
|
mlirEmitError(fileLineColLoc, "test diagnostics");
|
|
MlirLocation callSiteLoc = mlirLocationCallSiteGet(
|
|
mlirLocationFileLineColGet(
|
|
ctx, mlirStringRefCreateFromCString("other-file.c"), 2, 3),
|
|
fileLineColLoc);
|
|
mlirEmitError(callSiteLoc, "test diagnostics");
|
|
MlirLocation null = {0};
|
|
MlirLocation nameLoc =
|
|
mlirLocationNameGet(ctx, mlirStringRefCreateFromCString("named"), null);
|
|
mlirEmitError(nameLoc, "test diagnostics");
|
|
MlirLocation locs[2] = {nameLoc, callSiteLoc};
|
|
MlirAttribute nullAttr = {0};
|
|
MlirLocation fusedLoc = mlirLocationFusedGet(ctx, 2, locs, nullAttr);
|
|
mlirEmitError(fusedLoc, "test diagnostics");
|
|
mlirContextDetachDiagnosticHandler(ctx, id);
|
|
mlirEmitError(unknownLoc, "more test diagnostics");
|
|
// CHECK-LABEL: @test_diagnostics
|
|
// CHECK: processing diagnostic (userData: 42) <<
|
|
// CHECK: test diagnostics
|
|
// CHECK: loc(unknown)
|
|
// CHECK: >> end of diagnostic (userData: 42)
|
|
// CHECK: processing diagnostic (userData: 42) <<
|
|
// CHECK: test diagnostics
|
|
// CHECK: loc("file.c":1:2)
|
|
// CHECK: >> end of diagnostic (userData: 42)
|
|
// CHECK: processing diagnostic (userData: 42) <<
|
|
// CHECK: test diagnostics
|
|
// CHECK: loc(callsite("other-file.c":2:3 at "file.c":1:2))
|
|
// CHECK: >> end of diagnostic (userData: 42)
|
|
// CHECK: processing diagnostic (userData: 42) <<
|
|
// CHECK: test diagnostics
|
|
// CHECK: loc("named")
|
|
// CHECK: >> end of diagnostic (userData: 42)
|
|
// CHECK: processing diagnostic (userData: 42) <<
|
|
// CHECK: test diagnostics
|
|
// CHECK: loc(fused["named", callsite("other-file.c":2:3 at "file.c":1:2)])
|
|
// CHECK: deleting user data (userData: 42)
|
|
// CHECK-NOT: processing diagnostic
|
|
// CHECK: more test diagnostics
|
|
mlirContextDestroy(ctx);
|
|
}
|
|
|
|
int main() {
|
|
MlirContext ctx = mlirContextCreate();
|
|
mlirRegisterAllDialects(ctx);
|
|
if (constructAndTraverseIr(ctx))
|
|
return 1;
|
|
buildWithInsertionsAndPrint(ctx);
|
|
if (createOperationWithTypeInference(ctx))
|
|
return 2;
|
|
|
|
if (printBuiltinTypes(ctx))
|
|
return 3;
|
|
if (printBuiltinAttributes(ctx))
|
|
return 4;
|
|
if (printAffineMap(ctx))
|
|
return 5;
|
|
if (printAffineExpr(ctx))
|
|
return 6;
|
|
if (affineMapFromExprs(ctx))
|
|
return 7;
|
|
if (printIntegerSet(ctx))
|
|
return 8;
|
|
if (registerOnlyStd())
|
|
return 9;
|
|
if (testBackreferences())
|
|
return 10;
|
|
if (testOperands())
|
|
return 11;
|
|
if (testClone())
|
|
return 12;
|
|
if (testTypeID(ctx))
|
|
return 13;
|
|
if (testSymbolTable(ctx))
|
|
return 14;
|
|
if (testDialectRegistry())
|
|
return 15;
|
|
|
|
mlirContextDestroy(ctx);
|
|
|
|
testDiagnostics();
|
|
return 0;
|
|
}
|