forked from OSchip/llvm-project
[mlir][CAPI] Convert the rest of the API int -> bool.
* Follows on https://reviews.llvm.org/D92193 * I had a mid-air collision with some additional occurrences and then noticed that there were a lot more. Think I got them all. Differential Revision: https://reviews.llvm.org/D92292
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@ -57,12 +57,12 @@ MLIR_CAPI_EXPORTED void mlirAffineExprDump(MlirAffineExpr affineExpr);
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/** Checks whether the given affine expression is made out of only symbols and
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* constants. */
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MLIR_CAPI_EXPORTED int
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MLIR_CAPI_EXPORTED bool
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mlirAffineExprIsSymbolicOrConstant(MlirAffineExpr affineExpr);
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/** Checks whether the given affine expression is a pure affine expression, i.e.
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* mul, floordiv, ceildic, and mod is only allowed w.r.t constants. */
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MLIR_CAPI_EXPORTED int mlirAffineExprIsPureAffine(MlirAffineExpr affineExpr);
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MLIR_CAPI_EXPORTED bool mlirAffineExprIsPureAffine(MlirAffineExpr affineExpr);
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/** Returns the greatest known integral divisor of this affine expression. The
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* result is always positive. */
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@ -70,13 +70,13 @@ MLIR_CAPI_EXPORTED int64_t
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mlirAffineExprGetLargestKnownDivisor(MlirAffineExpr affineExpr);
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/// Checks whether the given affine expression is a multiple of 'factor'.
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MLIR_CAPI_EXPORTED int mlirAffineExprIsMultipleOf(MlirAffineExpr affineExpr,
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int64_t factor);
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MLIR_CAPI_EXPORTED bool mlirAffineExprIsMultipleOf(MlirAffineExpr affineExpr,
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int64_t factor);
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/** Checks whether the given affine expression involves AffineDimExpr
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* 'position'. */
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MLIR_CAPI_EXPORTED int mlirAffineExprIsFunctionOfDim(MlirAffineExpr affineExpr,
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intptr_t position);
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MLIR_CAPI_EXPORTED bool mlirAffineExprIsFunctionOfDim(MlirAffineExpr affineExpr,
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intptr_t position);
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//===----------------------------------------------------------------------===//
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// Affine Dimension Expression.
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@ -119,7 +119,7 @@ mlirAffineConstantExprGetValue(MlirAffineExpr affineExpr);
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//===----------------------------------------------------------------------===//
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/// Checks whether the given affine expression is an add expression.
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MLIR_CAPI_EXPORTED int mlirAffineExprIsAAdd(MlirAffineExpr affineExpr);
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MLIR_CAPI_EXPORTED bool mlirAffineExprIsAAdd(MlirAffineExpr affineExpr);
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/// Creates an affine add expression with 'lhs' and 'rhs'.
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MLIR_CAPI_EXPORTED MlirAffineExpr mlirAffineAddExprGet(MlirAffineExpr lhs,
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@ -130,7 +130,7 @@ MLIR_CAPI_EXPORTED MlirAffineExpr mlirAffineAddExprGet(MlirAffineExpr lhs,
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//===----------------------------------------------------------------------===//
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/// Checks whether the given affine expression is an mul expression.
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MLIR_CAPI_EXPORTED int mlirAffineExprIsAMul(MlirAffineExpr affineExpr);
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MLIR_CAPI_EXPORTED bool mlirAffineExprIsAMul(MlirAffineExpr affineExpr);
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/// Creates an affine mul expression with 'lhs' and 'rhs'.
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MLIR_CAPI_EXPORTED MlirAffineExpr mlirAffineMulExprGet(MlirAffineExpr lhs,
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@ -141,7 +141,7 @@ MLIR_CAPI_EXPORTED MlirAffineExpr mlirAffineMulExprGet(MlirAffineExpr lhs,
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//===----------------------------------------------------------------------===//
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/// Checks whether the given affine expression is an mod expression.
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MLIR_CAPI_EXPORTED int mlirAffineExprIsAMod(MlirAffineExpr affineExpr);
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MLIR_CAPI_EXPORTED bool mlirAffineExprIsAMod(MlirAffineExpr affineExpr);
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/// Creates an affine mod expression with 'lhs' and 'rhs'.
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MLIR_CAPI_EXPORTED MlirAffineExpr mlirAffineModExprGet(MlirAffineExpr lhs,
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@ -152,7 +152,7 @@ MLIR_CAPI_EXPORTED MlirAffineExpr mlirAffineModExprGet(MlirAffineExpr lhs,
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//===----------------------------------------------------------------------===//
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/// Checks whether the given affine expression is an floordiv expression.
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MLIR_CAPI_EXPORTED int mlirAffineExprIsAFloorDiv(MlirAffineExpr affineExpr);
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MLIR_CAPI_EXPORTED bool mlirAffineExprIsAFloorDiv(MlirAffineExpr affineExpr);
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/// Creates an affine floordiv expression with 'lhs' and 'rhs'.
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MLIR_CAPI_EXPORTED MlirAffineExpr mlirAffineFloorDivExprGet(MlirAffineExpr lhs,
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@ -163,7 +163,7 @@ MLIR_CAPI_EXPORTED MlirAffineExpr mlirAffineFloorDivExprGet(MlirAffineExpr lhs,
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//===----------------------------------------------------------------------===//
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/// Checks whether the given affine expression is an ceildiv expression.
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MLIR_CAPI_EXPORTED int mlirAffineExprIsACeilDiv(MlirAffineExpr affineExpr);
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MLIR_CAPI_EXPORTED bool mlirAffineExprIsACeilDiv(MlirAffineExpr affineExpr);
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/// Creates an affine ceildiv expression with 'lhs' and 'rhs'.
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MLIR_CAPI_EXPORTED MlirAffineExpr mlirAffineCeilDivExprGet(MlirAffineExpr lhs,
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@ -44,12 +44,12 @@ DEFINE_C_API_STRUCT(MlirAffineMap, const void);
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MLIR_CAPI_EXPORTED MlirContext mlirAffineMapGetContext(MlirAffineMap affineMap);
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/// Checks whether an affine map is null.
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static inline int mlirAffineMapIsNull(MlirAffineMap affineMap) {
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static inline bool mlirAffineMapIsNull(MlirAffineMap affineMap) {
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return !affineMap.ptr;
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}
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/// Checks if two affine maps are equal.
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MLIR_CAPI_EXPORTED int mlirAffineMapEqual(MlirAffineMap a1, MlirAffineMap a2);
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MLIR_CAPI_EXPORTED bool mlirAffineMapEqual(MlirAffineMap a1, MlirAffineMap a2);
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/** Prints an affine map by sending chunks of the string representation and
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* forwarding `userData to `callback`. Note that the callback may be called
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@ -98,17 +98,17 @@ MLIR_CAPI_EXPORTED MlirAffineMap mlirAffineMapPermutationGet(
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/** Checks whether the given affine map is an identity affine map. The function
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* asserts that the number of dimensions is greater or equal to the number of
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* results. */
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MLIR_CAPI_EXPORTED int mlirAffineMapIsIdentity(MlirAffineMap affineMap);
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MLIR_CAPI_EXPORTED bool mlirAffineMapIsIdentity(MlirAffineMap affineMap);
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/// Checks whether the given affine map is a minor identity affine map.
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MLIR_CAPI_EXPORTED int mlirAffineMapIsMinorIdentity(MlirAffineMap affineMap);
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MLIR_CAPI_EXPORTED bool mlirAffineMapIsMinorIdentity(MlirAffineMap affineMap);
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/// Checks whether the given affine map is an empty affine map.
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MLIR_CAPI_EXPORTED int mlirAffineMapIsEmpty(MlirAffineMap affineMap);
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MLIR_CAPI_EXPORTED bool mlirAffineMapIsEmpty(MlirAffineMap affineMap);
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/** Checks whether the given affine map is a single result constant affine
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* map. */
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MLIR_CAPI_EXPORTED int mlirAffineMapIsSingleConstant(MlirAffineMap affineMap);
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MLIR_CAPI_EXPORTED bool mlirAffineMapIsSingleConstant(MlirAffineMap affineMap);
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/** Returns the constant result of the given affine map. The function asserts
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* that the map has a single constant result. */
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@ -130,12 +130,12 @@ MLIR_CAPI_EXPORTED intptr_t mlirAffineMapGetNumInputs(MlirAffineMap affineMap);
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/** Checks whether the given affine map represents a subset of a symbol-less
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* permutation map. */
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MLIR_CAPI_EXPORTED int
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MLIR_CAPI_EXPORTED bool
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mlirAffineMapIsProjectedPermutation(MlirAffineMap affineMap);
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/** Checks whether the given affine map represents a symbol-less permutation
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* map. */
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MLIR_CAPI_EXPORTED int mlirAffineMapIsPermutation(MlirAffineMap affineMap);
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MLIR_CAPI_EXPORTED bool mlirAffineMapIsPermutation(MlirAffineMap affineMap);
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/// Returns the affine map consisting of the `resultPos` subset.
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MLIR_CAPI_EXPORTED MlirAffineMap mlirAffineMapGetSubMap(MlirAffineMap affineMap,
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@ -95,10 +95,10 @@ MLIR_CAPI_EXPORTED void mlirContextDestroy(MlirContext context);
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/// Sets whether unregistered dialects are allowed in this context.
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MLIR_CAPI_EXPORTED void
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mlirContextSetAllowUnregisteredDialects(MlirContext context, int allow);
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mlirContextSetAllowUnregisteredDialects(MlirContext context, bool allow);
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/// Returns whether the context allows unregistered dialects.
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MLIR_CAPI_EXPORTED int
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MLIR_CAPI_EXPORTED bool
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mlirContextGetAllowUnregisteredDialects(MlirContext context);
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/** Returns the number of dialects registered with the given context. A
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@ -154,12 +154,12 @@ MLIR_CAPI_EXPORTED MlirLocation mlirLocationUnknownGet(MlirContext context);
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MLIR_CAPI_EXPORTED MlirContext mlirLocationGetContext(MlirLocation location);
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/// Checks if the location is null.
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static inline int mlirLocationIsNull(MlirLocation location) {
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static inline bool mlirLocationIsNull(MlirLocation location) {
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return !location.ptr;
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}
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/// Checks if two locations are equal.
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MLIR_CAPI_EXPORTED int mlirLocationEqual(MlirLocation l1, MlirLocation l2);
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MLIR_CAPI_EXPORTED bool mlirLocationEqual(MlirLocation l1, MlirLocation l2);
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/** Prints a location by sending chunks of the string representation and
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* forwarding `userData to `callback`. Note that the callback may be called
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@ -271,7 +271,7 @@ mlirOpPrintingFlagsElideLargeElementsAttrs(MlirOpPrintingFlags flags,
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* debug information is printed in a more readable 'pretty' form. Note: The
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* IR generated with 'prettyForm' is not parsable. */
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MLIR_CAPI_EXPORTED void
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mlirOpPrintingFlagsEnableDebugInfo(MlirOpPrintingFlags flags, int prettyForm);
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mlirOpPrintingFlagsEnableDebugInfo(MlirOpPrintingFlags flags, bool prettyForm);
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/// Always print operations in the generic form.
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MLIR_CAPI_EXPORTED void
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@ -364,10 +364,10 @@ MLIR_CAPI_EXPORTED void mlirOperationSetAttributeByName(MlirOperation op,
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MlirStringRef name,
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MlirAttribute attr);
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/** Removes an attribute by name. Returns 0 if the attribute was not found
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* and !0 if removed. */
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MLIR_CAPI_EXPORTED int mlirOperationRemoveAttributeByName(MlirOperation op,
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MlirStringRef name);
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/** Removes an attribute by name. Returns false if the attribute was not found
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* and true if removed. */
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MLIR_CAPI_EXPORTED bool mlirOperationRemoveAttributeByName(MlirOperation op,
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MlirStringRef name);
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/** Prints an operation by sending chunks of the string representation and
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* forwarding `userData to `callback`. Note that the callback may be called
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@ -504,10 +504,10 @@ static inline bool mlirValueIsNull(MlirValue value) { return !value.ptr; }
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bool mlirValueEqual(MlirValue value1, MlirValue value2);
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/// Returns 1 if the value is a block argument, 0 otherwise.
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MLIR_CAPI_EXPORTED int mlirValueIsABlockArgument(MlirValue value);
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MLIR_CAPI_EXPORTED bool mlirValueIsABlockArgument(MlirValue value);
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/// Returns 1 if the value is an operation result, 0 otherwise.
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MLIR_CAPI_EXPORTED int mlirValueIsAOpResult(MlirValue value);
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MLIR_CAPI_EXPORTED bool mlirValueIsAOpResult(MlirValue value);
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/** Returns the block in which this value is defined as an argument. Asserts if
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* the value is not a block argument. */
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@ -54,7 +54,7 @@ MLIR_CAPI_EXPORTED MlirPassManager mlirPassManagerCreate(MlirContext ctx);
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MLIR_CAPI_EXPORTED void mlirPassManagerDestroy(MlirPassManager passManager);
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/// Checks if a PassManager is null.
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static inline int mlirPassManagerIsNull(MlirPassManager passManager) {
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static inline bool mlirPassManagerIsNull(MlirPassManager passManager) {
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return !passManager.ptr;
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}
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@ -27,7 +27,7 @@ extern "C" {
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//===----------------------------------------------------------------------===//
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/// Checks whether the given attribute is an affine map attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsAAffineMap(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsAAffineMap(MlirAttribute attr);
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/** Creates an affine map attribute wrapping the given map. The attribute
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* belongs to the same context as the affine map. */
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//===----------------------------------------------------------------------===//
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/// Checks whether the given attribute is an array attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsAArray(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsAArray(MlirAttribute attr);
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/** Creates an array element containing the given list of elements in the given
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* context. */
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@ -61,7 +61,7 @@ MLIR_CAPI_EXPORTED MlirAttribute mlirArrayAttrGetElement(MlirAttribute attr,
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//===----------------------------------------------------------------------===//
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/// Checks whether the given attribute is a dictionary attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsADictionary(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsADictionary(MlirAttribute attr);
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/** Creates a dictionary attribute containing the given list of elements in the
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* provided context. */
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* relevant functions here. */
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/// Checks whether the given attribute is a floating point attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsAFloat(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsAFloat(MlirAttribute attr);
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/** Creates a floating point attribute in the given context with the given
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* double value and double-precision FP semantics. */
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@ -114,7 +114,7 @@ MLIR_CAPI_EXPORTED double mlirFloatAttrGetValueDouble(MlirAttribute attr);
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* relevant functions here. */
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/// Checks whether the given attribute is an integer attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsAInteger(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsAInteger(MlirAttribute attr);
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/** Creates an integer attribute of the given type with the given integer
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* value. */
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@ -130,27 +130,27 @@ MLIR_CAPI_EXPORTED int64_t mlirIntegerAttrGetValueInt(MlirAttribute attr);
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//===----------------------------------------------------------------------===//
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/// Checks whether the given attribute is a bool attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsABool(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsABool(MlirAttribute attr);
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/// Creates a bool attribute in the given context with the given value.
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MLIR_CAPI_EXPORTED MlirAttribute mlirBoolAttrGet(MlirContext ctx, int value);
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/// Returns the value stored in the given bool attribute.
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MLIR_CAPI_EXPORTED int mlirBoolAttrGetValue(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirBoolAttrGetValue(MlirAttribute attr);
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//===----------------------------------------------------------------------===//
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// Integer set attribute.
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//===----------------------------------------------------------------------===//
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/// Checks whether the given attribute is an integer set attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsAIntegerSet(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsAIntegerSet(MlirAttribute attr);
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//===----------------------------------------------------------------------===//
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// Opaque attribute.
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//===----------------------------------------------------------------------===//
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/// Checks whether the given attribute is an opaque attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsAOpaque(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsAOpaque(MlirAttribute attr);
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/** Creates an opaque attribute in the given context associated with the dialect
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* identified by its namespace. The attribute contains opaque byte data of the
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//===----------------------------------------------------------------------===//
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/// Checks whether the given attribute is a string attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsAString(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsAString(MlirAttribute attr);
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/** Creates a string attribute in the given context containing the given string.
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* The string need not be null-terminated and its length must be specified. */
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@ -199,7 +199,7 @@ MLIR_CAPI_EXPORTED MlirStringRef mlirStringAttrGetValue(MlirAttribute attr);
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//===----------------------------------------------------------------------===//
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/// Checks whether the given attribute is a symbol reference attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsASymbolRef(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsASymbolRef(MlirAttribute attr);
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/** Creates a symbol reference attribute in the given context referencing a
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* symbol identified by the given string inside a list of nested references.
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@ -233,7 +233,7 @@ mlirSymbolRefAttrGetNestedReference(MlirAttribute attr, intptr_t pos);
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//===----------------------------------------------------------------------===//
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/// Checks whether the given attribute is a flat symbol reference attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsAFlatSymbolRef(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsAFlatSymbolRef(MlirAttribute attr);
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/** Creates a flat symbol reference attribute in the given context referencing a
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* symbol identified by the given string. The string need not be null-terminated
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@ -252,7 +252,7 @@ mlirFlatSymbolRefAttrGetValue(MlirAttribute attr);
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//===----------------------------------------------------------------------===//
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/// Checks whether the given attribute is a type attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsAType(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsAType(MlirAttribute attr);
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/** Creates a type attribute wrapping the given type in the same context as the
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* type. */
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@ -266,7 +266,7 @@ MLIR_CAPI_EXPORTED MlirType mlirTypeAttrGetValue(MlirAttribute attr);
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//===----------------------------------------------------------------------===//
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/// Checks whether the given attribute is a unit attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsAUnit(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsAUnit(MlirAttribute attr);
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/// Creates a unit attribute in the given context.
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MLIR_CAPI_EXPORTED MlirAttribute mlirUnitAttrGet(MlirContext ctx);
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@ -276,7 +276,7 @@ MLIR_CAPI_EXPORTED MlirAttribute mlirUnitAttrGet(MlirContext ctx);
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//===----------------------------------------------------------------------===//
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/// Checks whether the given attribute is an elements attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsAElements(MlirAttribute attr);
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MLIR_CAPI_EXPORTED bool mlirAttributeIsAElements(MlirAttribute attr);
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/// Returns the element at the given rank-dimensional index.
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MLIR_CAPI_EXPORTED MlirAttribute mlirElementsAttrGetValue(MlirAttribute attr,
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@ -285,7 +285,7 @@ MLIR_CAPI_EXPORTED MlirAttribute mlirElementsAttrGetValue(MlirAttribute attr,
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/** Checks whether the given rank-dimensional index is valid in the given
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* elements attribute. */
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MLIR_CAPI_EXPORTED int
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MLIR_CAPI_EXPORTED bool
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mlirElementsAttrIsValidIndex(MlirAttribute attr, intptr_t rank, uint64_t *idxs);
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/** Gets the total number of elements in the given elements attribute. In order
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@ -302,9 +302,9 @@ MLIR_CAPI_EXPORTED int64_t mlirElementsAttrGetNumElements(MlirAttribute attr);
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* relevant functions here. */
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/// Checks whether the given attribute is a dense elements attribute.
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MLIR_CAPI_EXPORTED int mlirAttributeIsADenseElements(MlirAttribute attr);
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MLIR_CAPI_EXPORTED int mlirAttributeIsADenseIntElements(MlirAttribute attr);
|
||||
MLIR_CAPI_EXPORTED int mlirAttributeIsADenseFPElements(MlirAttribute attr);
|
||||
MLIR_CAPI_EXPORTED bool mlirAttributeIsADenseElements(MlirAttribute attr);
|
||||
MLIR_CAPI_EXPORTED bool mlirAttributeIsADenseIntElements(MlirAttribute attr);
|
||||
MLIR_CAPI_EXPORTED bool mlirAttributeIsADenseFPElements(MlirAttribute attr);
|
||||
|
||||
/** Creates a dense elements attribute with the given Shaped type and elements
|
||||
* in the same context as the type. */
|
||||
|
@ -316,7 +316,7 @@ MLIR_CAPI_EXPORTED MlirAttribute mlirDenseElementsAttrGet(
|
|||
MLIR_CAPI_EXPORTED MlirAttribute
|
||||
mlirDenseElementsAttrSplatGet(MlirType shapedType, MlirAttribute element);
|
||||
MLIR_CAPI_EXPORTED MlirAttribute
|
||||
mlirDenseElementsAttrBoolSplatGet(MlirType shapedType, int element);
|
||||
mlirDenseElementsAttrBoolSplatGet(MlirType shapedType, bool element);
|
||||
MLIR_CAPI_EXPORTED MlirAttribute
|
||||
mlirDenseElementsAttrUInt32SplatGet(MlirType shapedType, uint32_t element);
|
||||
MLIR_CAPI_EXPORTED MlirAttribute
|
||||
|
@ -362,7 +362,7 @@ mlirDenseElementsAttrReshapeGet(MlirAttribute attr, MlirType shapedType);
|
|||
|
||||
/** Checks whether the given dense elements attribute contains a single
|
||||
* replicated value (splat). */
|
||||
MLIR_CAPI_EXPORTED int mlirDenseElementsAttrIsSplat(MlirAttribute attr);
|
||||
MLIR_CAPI_EXPORTED bool mlirDenseElementsAttrIsSplat(MlirAttribute attr);
|
||||
|
||||
/** Returns the single replicated value (splat) of a specific type contained by
|
||||
* the given dense elements attribute. */
|
||||
|
@ -387,8 +387,8 @@ mlirDenseElementsAttrGetStringSplatValue(MlirAttribute attr);
|
|||
|
||||
/** Returns the pos-th value (flat contiguous indexing) of a specific type
|
||||
* contained by the given dense elements attribute. */
|
||||
MLIR_CAPI_EXPORTED int mlirDenseElementsAttrGetBoolValue(MlirAttribute attr,
|
||||
intptr_t pos);
|
||||
MLIR_CAPI_EXPORTED bool mlirDenseElementsAttrGetBoolValue(MlirAttribute attr,
|
||||
intptr_t pos);
|
||||
MLIR_CAPI_EXPORTED int32_t
|
||||
mlirDenseElementsAttrGetInt32Value(MlirAttribute attr, intptr_t pos);
|
||||
MLIR_CAPI_EXPORTED uint32_t
|
||||
|
@ -415,14 +415,14 @@ mlirDenseElementsAttrGetRawData(MlirAttribute attr);
|
|||
// TODO: expose Dialect to the bindings and implement accessors here.
|
||||
|
||||
/// Checks whether the given attribute is an opaque elements attribute.
|
||||
MLIR_CAPI_EXPORTED int mlirAttributeIsAOpaqueElements(MlirAttribute attr);
|
||||
MLIR_CAPI_EXPORTED bool mlirAttributeIsAOpaqueElements(MlirAttribute attr);
|
||||
|
||||
//===----------------------------------------------------------------------===//
|
||||
// Sparse elements attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
/// Checks whether the given attribute is a sparse elements attribute.
|
||||
MLIR_CAPI_EXPORTED int mlirAttributeIsASparseElements(MlirAttribute attr);
|
||||
MLIR_CAPI_EXPORTED bool mlirAttributeIsASparseElements(MlirAttribute attr);
|
||||
|
||||
/** Creates a sparse elements attribute of the given shape from a list of
|
||||
* indices and a list of associated values. Both lists are expected to be dense
|
||||
|
|
|
@ -23,7 +23,7 @@ extern "C" {
|
|||
//===----------------------------------------------------------------------===//
|
||||
|
||||
/// Checks whether the given type is an integer type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsAInteger(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsAInteger(MlirType type);
|
||||
|
||||
/** Creates a signless integer type of the given bitwidth in the context. The
|
||||
* type is owned by the context. */
|
||||
|
@ -44,20 +44,20 @@ MLIR_CAPI_EXPORTED MlirType mlirIntegerTypeUnsignedGet(MlirContext ctx,
|
|||
MLIR_CAPI_EXPORTED unsigned mlirIntegerTypeGetWidth(MlirType type);
|
||||
|
||||
/// Checks whether the given integer type is signless.
|
||||
MLIR_CAPI_EXPORTED int mlirIntegerTypeIsSignless(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirIntegerTypeIsSignless(MlirType type);
|
||||
|
||||
/// Checks whether the given integer type is signed.
|
||||
MLIR_CAPI_EXPORTED int mlirIntegerTypeIsSigned(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirIntegerTypeIsSigned(MlirType type);
|
||||
|
||||
/// Checks whether the given integer type is unsigned.
|
||||
MLIR_CAPI_EXPORTED int mlirIntegerTypeIsUnsigned(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirIntegerTypeIsUnsigned(MlirType type);
|
||||
|
||||
//===----------------------------------------------------------------------===//
|
||||
// Index type.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
/// Checks whether the given type is an index type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsAIndex(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsAIndex(MlirType type);
|
||||
|
||||
/** Creates an index type in the given context. The type is owned by the
|
||||
* context. */
|
||||
|
@ -68,28 +68,28 @@ MLIR_CAPI_EXPORTED MlirType mlirIndexTypeGet(MlirContext ctx);
|
|||
//===----------------------------------------------------------------------===//
|
||||
|
||||
/// Checks whether the given type is a bf16 type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsABF16(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsABF16(MlirType type);
|
||||
|
||||
/** Creates a bf16 type in the given context. The type is owned by the
|
||||
* context. */
|
||||
MLIR_CAPI_EXPORTED MlirType mlirBF16TypeGet(MlirContext ctx);
|
||||
|
||||
/// Checks whether the given type is an f16 type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsAF16(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsAF16(MlirType type);
|
||||
|
||||
/** Creates an f16 type in the given context. The type is owned by the
|
||||
* context. */
|
||||
MLIR_CAPI_EXPORTED MlirType mlirF16TypeGet(MlirContext ctx);
|
||||
|
||||
/// Checks whether the given type is an f32 type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsAF32(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsAF32(MlirType type);
|
||||
|
||||
/** Creates an f32 type in the given context. The type is owned by the
|
||||
* context. */
|
||||
MLIR_CAPI_EXPORTED MlirType mlirF32TypeGet(MlirContext ctx);
|
||||
|
||||
/// Checks whether the given type is an f64 type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsAF64(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsAF64(MlirType type);
|
||||
|
||||
/** Creates a f64 type in the given context. The type is owned by the
|
||||
* context. */
|
||||
|
@ -100,7 +100,7 @@ MLIR_CAPI_EXPORTED MlirType mlirF64TypeGet(MlirContext ctx);
|
|||
//===----------------------------------------------------------------------===//
|
||||
|
||||
/// Checks whether the given type is a None type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsANone(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsANone(MlirType type);
|
||||
|
||||
/** Creates a None type in the given context. The type is owned by the
|
||||
* context. */
|
||||
|
@ -111,7 +111,7 @@ MLIR_CAPI_EXPORTED MlirType mlirNoneTypeGet(MlirContext ctx);
|
|||
//===----------------------------------------------------------------------===//
|
||||
|
||||
/// Checks whether the given type is a Complex type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsAComplex(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsAComplex(MlirType type);
|
||||
|
||||
/** Creates a complex type with the given element type in the same context as
|
||||
* the element type. The type is owned by the context. */
|
||||
|
@ -125,22 +125,22 @@ MLIR_CAPI_EXPORTED MlirType mlirComplexTypeGetElementType(MlirType type);
|
|||
//===----------------------------------------------------------------------===//
|
||||
|
||||
/// Checks whether the given type is a Shaped type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsAShaped(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsAShaped(MlirType type);
|
||||
|
||||
/// Returns the element type of the shaped type.
|
||||
MLIR_CAPI_EXPORTED MlirType mlirShapedTypeGetElementType(MlirType type);
|
||||
|
||||
/// Checks whether the given shaped type is ranked.
|
||||
MLIR_CAPI_EXPORTED int mlirShapedTypeHasRank(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirShapedTypeHasRank(MlirType type);
|
||||
|
||||
/// Returns the rank of the given ranked shaped type.
|
||||
MLIR_CAPI_EXPORTED int64_t mlirShapedTypeGetRank(MlirType type);
|
||||
|
||||
/// Checks whether the given shaped type has a static shape.
|
||||
MLIR_CAPI_EXPORTED int mlirShapedTypeHasStaticShape(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirShapedTypeHasStaticShape(MlirType type);
|
||||
|
||||
/// Checks wither the dim-th dimension of the given shaped type is dynamic.
|
||||
MLIR_CAPI_EXPORTED int mlirShapedTypeIsDynamicDim(MlirType type, intptr_t dim);
|
||||
MLIR_CAPI_EXPORTED bool mlirShapedTypeIsDynamicDim(MlirType type, intptr_t dim);
|
||||
|
||||
/// Returns the dim-th dimension of the given ranked shaped type.
|
||||
MLIR_CAPI_EXPORTED int64_t mlirShapedTypeGetDimSize(MlirType type,
|
||||
|
@ -148,18 +148,18 @@ MLIR_CAPI_EXPORTED int64_t mlirShapedTypeGetDimSize(MlirType type,
|
|||
|
||||
/** Checks whether the given value is used as a placeholder for dynamic sizes
|
||||
* in shaped types. */
|
||||
MLIR_CAPI_EXPORTED int mlirShapedTypeIsDynamicSize(int64_t size);
|
||||
MLIR_CAPI_EXPORTED bool mlirShapedTypeIsDynamicSize(int64_t size);
|
||||
|
||||
/** Checks whether the given value is used as a placeholder for dynamic strides
|
||||
* and offsets in shaped types. */
|
||||
MLIR_CAPI_EXPORTED int mlirShapedTypeIsDynamicStrideOrOffset(int64_t val);
|
||||
MLIR_CAPI_EXPORTED bool mlirShapedTypeIsDynamicStrideOrOffset(int64_t val);
|
||||
|
||||
//===----------------------------------------------------------------------===//
|
||||
// Vector type.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
/// Checks whether the given type is a Vector type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsAVector(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsAVector(MlirType type);
|
||||
|
||||
/** Creates a vector type of the shape identified by its rank and dimensions,
|
||||
* with the given element type in the same context as the element type. The type
|
||||
|
@ -180,13 +180,13 @@ MLIR_CAPI_EXPORTED MlirType mlirVectorTypeGetChecked(intptr_t rank,
|
|||
//===----------------------------------------------------------------------===//
|
||||
|
||||
/// Checks whether the given type is a Tensor type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsATensor(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsATensor(MlirType type);
|
||||
|
||||
/// Checks whether the given type is a ranked tensor type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsARankedTensor(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsARankedTensor(MlirType type);
|
||||
|
||||
/// Checks whether the given type is an unranked tensor type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsAUnrankedTensor(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsAUnrankedTensor(MlirType type);
|
||||
|
||||
/** Creates a tensor type of a fixed rank with the given shape and element type
|
||||
* in the same context as the element type. The type is owned by the context. */
|
||||
|
@ -215,10 +215,10 @@ mlirUnrankedTensorTypeGetChecked(MlirType elementType, MlirLocation loc);
|
|||
//===----------------------------------------------------------------------===//
|
||||
|
||||
/// Checks whether the given type is a MemRef type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsAMemRef(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsAMemRef(MlirType type);
|
||||
|
||||
/// Checks whether the given type is an UnrankedMemRef type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsAUnrankedMemRef(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsAUnrankedMemRef(MlirType type);
|
||||
|
||||
/** Creates a MemRef type with the given rank and shape, a potentially empty
|
||||
* list of affine layout maps, the given memory space and element type, in the
|
||||
|
@ -270,7 +270,7 @@ MLIR_CAPI_EXPORTED unsigned mlirUnrankedMemrefGetMemorySpace(MlirType type);
|
|||
//===----------------------------------------------------------------------===//
|
||||
|
||||
/// Checks whether the given type is a tuple type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsATuple(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsATuple(MlirType type);
|
||||
|
||||
/** Creates a tuple type that consists of the given list of elemental types. The
|
||||
* type is owned by the context. */
|
||||
|
@ -289,7 +289,7 @@ MLIR_CAPI_EXPORTED MlirType mlirTupleTypeGetType(MlirType type, intptr_t pos);
|
|||
//===----------------------------------------------------------------------===//
|
||||
|
||||
/// Checks whether the given type is a function type.
|
||||
MLIR_CAPI_EXPORTED int mlirTypeIsAFunction(MlirType type);
|
||||
MLIR_CAPI_EXPORTED bool mlirTypeIsAFunction(MlirType type);
|
||||
|
||||
/// Creates a function type, mapping a list of input types to result types.
|
||||
MLIR_CAPI_EXPORTED MlirType mlirFunctionTypeGet(MlirContext ctx,
|
||||
|
|
|
@ -95,12 +95,12 @@ struct MlirLogicalResult {
|
|||
typedef struct MlirLogicalResult MlirLogicalResult;
|
||||
|
||||
/// Checks if the given logical result represents a success.
|
||||
inline static int mlirLogicalResultIsSuccess(MlirLogicalResult res) {
|
||||
inline static bool mlirLogicalResultIsSuccess(MlirLogicalResult res) {
|
||||
return res.value != 0;
|
||||
}
|
||||
|
||||
/// Checks if the given logical result represents a failure.
|
||||
inline static int mlirLogicalResultIsFailure(MlirLogicalResult res) {
|
||||
inline static bool mlirLogicalResultIsFailure(MlirLogicalResult res) {
|
||||
return res.value == 0;
|
||||
}
|
||||
|
||||
|
|
|
@ -1147,7 +1147,7 @@ public:
|
|||
// const char *pyClassName
|
||||
// and redefine bindDerived.
|
||||
using ClassTy = py::class_<DerivedTy, PyValue>;
|
||||
using IsAFunctionTy = int (*)(MlirValue);
|
||||
using IsAFunctionTy = bool (*)(MlirValue);
|
||||
|
||||
PyConcreteValue() = default;
|
||||
PyConcreteValue(PyOperationRef operationRef, MlirValue value)
|
||||
|
@ -1407,7 +1407,7 @@ public:
|
|||
// IsAFunctionTy isaFunction
|
||||
// const char *pyClassName
|
||||
using ClassTy = py::class_<DerivedTy, BaseTy>;
|
||||
using IsAFunctionTy = int (*)(MlirAttribute);
|
||||
using IsAFunctionTy = bool (*)(MlirAttribute);
|
||||
|
||||
PyConcreteAttribute() = default;
|
||||
PyConcreteAttribute(PyMlirContextRef contextRef, MlirAttribute attr)
|
||||
|
@ -1934,7 +1934,7 @@ public:
|
|||
// IsAFunctionTy isaFunction
|
||||
// const char *pyClassName
|
||||
using ClassTy = py::class_<DerivedTy, BaseTy>;
|
||||
using IsAFunctionTy = int (*)(MlirType);
|
||||
using IsAFunctionTy = bool (*)(MlirType);
|
||||
|
||||
PyConcreteType() = default;
|
||||
PyConcreteType(PyMlirContextRef contextRef, MlirType t)
|
||||
|
|
|
@ -31,11 +31,11 @@ void mlirAffineExprDump(MlirAffineExpr affineExpr) {
|
|||
unwrap(affineExpr).dump();
|
||||
}
|
||||
|
||||
int mlirAffineExprIsSymbolicOrConstant(MlirAffineExpr affineExpr) {
|
||||
bool mlirAffineExprIsSymbolicOrConstant(MlirAffineExpr affineExpr) {
|
||||
return unwrap(affineExpr).isSymbolicOrConstant();
|
||||
}
|
||||
|
||||
int mlirAffineExprIsPureAffine(MlirAffineExpr affineExpr) {
|
||||
bool mlirAffineExprIsPureAffine(MlirAffineExpr affineExpr) {
|
||||
return unwrap(affineExpr).isPureAffine();
|
||||
}
|
||||
|
||||
|
@ -43,12 +43,12 @@ int64_t mlirAffineExprGetLargestKnownDivisor(MlirAffineExpr affineExpr) {
|
|||
return unwrap(affineExpr).getLargestKnownDivisor();
|
||||
}
|
||||
|
||||
int mlirAffineExprIsMultipleOf(MlirAffineExpr affineExpr, int64_t factor) {
|
||||
bool mlirAffineExprIsMultipleOf(MlirAffineExpr affineExpr, int64_t factor) {
|
||||
return unwrap(affineExpr).isMultipleOf(factor);
|
||||
}
|
||||
|
||||
int mlirAffineExprIsFunctionOfDim(MlirAffineExpr affineExpr,
|
||||
intptr_t position) {
|
||||
bool mlirAffineExprIsFunctionOfDim(MlirAffineExpr affineExpr,
|
||||
intptr_t position) {
|
||||
return unwrap(affineExpr).isFunctionOfDim(position);
|
||||
}
|
||||
|
||||
|
@ -92,7 +92,7 @@ int64_t mlirAffineConstantExprGetValue(MlirAffineExpr affineExpr) {
|
|||
// Affine Add Expression.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAffineExprIsAAdd(MlirAffineExpr affineExpr) {
|
||||
bool mlirAffineExprIsAAdd(MlirAffineExpr affineExpr) {
|
||||
return unwrap(affineExpr).getKind() == mlir::AffineExprKind::Add;
|
||||
}
|
||||
|
||||
|
@ -105,7 +105,7 @@ MlirAffineExpr mlirAffineAddExprGet(MlirAffineExpr lhs, MlirAffineExpr rhs) {
|
|||
// Affine Mul Expression.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAffineExprIsAMul(MlirAffineExpr affineExpr) {
|
||||
bool mlirAffineExprIsAMul(MlirAffineExpr affineExpr) {
|
||||
return unwrap(affineExpr).getKind() == mlir::AffineExprKind::Mul;
|
||||
}
|
||||
|
||||
|
@ -118,7 +118,7 @@ MlirAffineExpr mlirAffineMulExprGet(MlirAffineExpr lhs, MlirAffineExpr rhs) {
|
|||
// Affine Mod Expression.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAffineExprIsAMod(MlirAffineExpr affineExpr) {
|
||||
bool mlirAffineExprIsAMod(MlirAffineExpr affineExpr) {
|
||||
return unwrap(affineExpr).getKind() == mlir::AffineExprKind::Mod;
|
||||
}
|
||||
|
||||
|
@ -131,7 +131,7 @@ MlirAffineExpr mlirAffineModExprGet(MlirAffineExpr lhs, MlirAffineExpr rhs) {
|
|||
// Affine FloorDiv Expression.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAffineExprIsAFloorDiv(MlirAffineExpr affineExpr) {
|
||||
bool mlirAffineExprIsAFloorDiv(MlirAffineExpr affineExpr) {
|
||||
return unwrap(affineExpr).getKind() == mlir::AffineExprKind::FloorDiv;
|
||||
}
|
||||
|
||||
|
@ -145,7 +145,7 @@ MlirAffineExpr mlirAffineFloorDivExprGet(MlirAffineExpr lhs,
|
|||
// Affine CeilDiv Expression.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAffineExprIsACeilDiv(MlirAffineExpr affineExpr) {
|
||||
bool mlirAffineExprIsACeilDiv(MlirAffineExpr affineExpr) {
|
||||
return unwrap(affineExpr).getKind() == mlir::AffineExprKind::CeilDiv;
|
||||
}
|
||||
|
||||
|
|
|
@ -21,7 +21,7 @@ MlirContext mlirAffineMapGetContext(MlirAffineMap affineMap) {
|
|||
return wrap(unwrap(affineMap).getContext());
|
||||
}
|
||||
|
||||
int mlirAffineMapEqual(MlirAffineMap a1, MlirAffineMap a2) {
|
||||
bool mlirAffineMapEqual(MlirAffineMap a1, MlirAffineMap a2) {
|
||||
return unwrap(a1) == unwrap(a2);
|
||||
}
|
||||
|
||||
|
@ -62,19 +62,19 @@ MlirAffineMap mlirAffineMapPermutationGet(MlirContext ctx, intptr_t size,
|
|||
llvm::makeArrayRef(permutation, static_cast<size_t>(size)), unwrap(ctx)));
|
||||
}
|
||||
|
||||
int mlirAffineMapIsIdentity(MlirAffineMap affineMap) {
|
||||
bool mlirAffineMapIsIdentity(MlirAffineMap affineMap) {
|
||||
return unwrap(affineMap).isIdentity();
|
||||
}
|
||||
|
||||
int mlirAffineMapIsMinorIdentity(MlirAffineMap affineMap) {
|
||||
bool mlirAffineMapIsMinorIdentity(MlirAffineMap affineMap) {
|
||||
return unwrap(affineMap).isMinorIdentity();
|
||||
}
|
||||
|
||||
int mlirAffineMapIsEmpty(MlirAffineMap affineMap) {
|
||||
bool mlirAffineMapIsEmpty(MlirAffineMap affineMap) {
|
||||
return unwrap(affineMap).isEmpty();
|
||||
}
|
||||
|
||||
int mlirAffineMapIsSingleConstant(MlirAffineMap affineMap) {
|
||||
bool mlirAffineMapIsSingleConstant(MlirAffineMap affineMap) {
|
||||
return unwrap(affineMap).isSingleConstant();
|
||||
}
|
||||
|
||||
|
@ -98,11 +98,11 @@ intptr_t mlirAffineMapGetNumInputs(MlirAffineMap affineMap) {
|
|||
return unwrap(affineMap).getNumInputs();
|
||||
}
|
||||
|
||||
int mlirAffineMapIsProjectedPermutation(MlirAffineMap affineMap) {
|
||||
bool mlirAffineMapIsProjectedPermutation(MlirAffineMap affineMap) {
|
||||
return unwrap(affineMap).isProjectedPermutation();
|
||||
}
|
||||
|
||||
int mlirAffineMapIsPermutation(MlirAffineMap affineMap) {
|
||||
bool mlirAffineMapIsPermutation(MlirAffineMap affineMap) {
|
||||
return unwrap(affineMap).isPermutation();
|
||||
}
|
||||
|
||||
|
|
|
@ -36,11 +36,11 @@ bool mlirContextEqual(MlirContext ctx1, MlirContext ctx2) {
|
|||
|
||||
void mlirContextDestroy(MlirContext context) { delete unwrap(context); }
|
||||
|
||||
void mlirContextSetAllowUnregisteredDialects(MlirContext context, int allow) {
|
||||
void mlirContextSetAllowUnregisteredDialects(MlirContext context, bool allow) {
|
||||
unwrap(context)->allowUnregisteredDialects(allow);
|
||||
}
|
||||
|
||||
int mlirContextGetAllowUnregisteredDialects(MlirContext context) {
|
||||
bool mlirContextGetAllowUnregisteredDialects(MlirContext context) {
|
||||
return unwrap(context)->allowsUnregisteredDialects();
|
||||
}
|
||||
intptr_t mlirContextGetNumRegisteredDialects(MlirContext context) {
|
||||
|
@ -92,7 +92,7 @@ void mlirOpPrintingFlagsElideLargeElementsAttrs(MlirOpPrintingFlags flags,
|
|||
}
|
||||
|
||||
void mlirOpPrintingFlagsEnableDebugInfo(MlirOpPrintingFlags flags,
|
||||
int prettyForm) {
|
||||
bool prettyForm) {
|
||||
unwrap(flags)->enableDebugInfo(/*prettyForm=*/prettyForm);
|
||||
}
|
||||
|
||||
|
@ -119,7 +119,7 @@ MlirLocation mlirLocationUnknownGet(MlirContext context) {
|
|||
return wrap(UnknownLoc::get(unwrap(context)));
|
||||
}
|
||||
|
||||
int mlirLocationEqual(MlirLocation l1, MlirLocation l2) {
|
||||
bool mlirLocationEqual(MlirLocation l1, MlirLocation l2) {
|
||||
return unwrap(l1) == unwrap(l2);
|
||||
}
|
||||
|
||||
|
@ -320,7 +320,7 @@ void mlirOperationSetAttributeByName(MlirOperation op, MlirStringRef name,
|
|||
unwrap(op)->setAttr(unwrap(name), unwrap(attr));
|
||||
}
|
||||
|
||||
int mlirOperationRemoveAttributeByName(MlirOperation op, MlirStringRef name) {
|
||||
bool mlirOperationRemoveAttributeByName(MlirOperation op, MlirStringRef name) {
|
||||
auto removeResult = unwrap(op)->removeAttr(unwrap(name));
|
||||
return removeResult == MutableDictionaryAttr::RemoveResult::Removed;
|
||||
}
|
||||
|
@ -488,11 +488,11 @@ bool mlirValueEqual(MlirValue value1, MlirValue value2) {
|
|||
return unwrap(value1) == unwrap(value2);
|
||||
}
|
||||
|
||||
int mlirValueIsABlockArgument(MlirValue value) {
|
||||
bool mlirValueIsABlockArgument(MlirValue value) {
|
||||
return unwrap(value).isa<BlockArgument>();
|
||||
}
|
||||
|
||||
int mlirValueIsAOpResult(MlirValue value) {
|
||||
bool mlirValueIsAOpResult(MlirValue value) {
|
||||
return unwrap(value).isa<OpResult>();
|
||||
}
|
||||
|
||||
|
|
|
@ -19,7 +19,7 @@ using namespace mlir;
|
|||
// Affine map attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsAAffineMap(MlirAttribute attr) {
|
||||
bool mlirAttributeIsAAffineMap(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<AffineMapAttr>();
|
||||
}
|
||||
|
||||
|
@ -35,7 +35,7 @@ MlirAffineMap mlirAffineMapAttrGetValue(MlirAttribute attr) {
|
|||
// Array attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsAArray(MlirAttribute attr) {
|
||||
bool mlirAttributeIsAArray(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<ArrayAttr>();
|
||||
}
|
||||
|
||||
|
@ -59,7 +59,7 @@ MlirAttribute mlirArrayAttrGetElement(MlirAttribute attr, intptr_t pos) {
|
|||
// Dictionary attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsADictionary(MlirAttribute attr) {
|
||||
bool mlirAttributeIsADictionary(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<DictionaryAttr>();
|
||||
}
|
||||
|
||||
|
@ -94,7 +94,7 @@ MlirAttribute mlirDictionaryAttrGetElementByName(MlirAttribute attr,
|
|||
// Floating point attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsAFloat(MlirAttribute attr) {
|
||||
bool mlirAttributeIsAFloat(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<FloatAttr>();
|
||||
}
|
||||
|
||||
|
@ -116,7 +116,7 @@ double mlirFloatAttrGetValueDouble(MlirAttribute attr) {
|
|||
// Integer attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsAInteger(MlirAttribute attr) {
|
||||
bool mlirAttributeIsAInteger(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<IntegerAttr>();
|
||||
}
|
||||
|
||||
|
@ -132,7 +132,7 @@ int64_t mlirIntegerAttrGetValueInt(MlirAttribute attr) {
|
|||
// Bool attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsABool(MlirAttribute attr) {
|
||||
bool mlirAttributeIsABool(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<BoolAttr>();
|
||||
}
|
||||
|
||||
|
@ -140,7 +140,7 @@ MlirAttribute mlirBoolAttrGet(MlirContext ctx, int value) {
|
|||
return wrap(BoolAttr::get(value, unwrap(ctx)));
|
||||
}
|
||||
|
||||
int mlirBoolAttrGetValue(MlirAttribute attr) {
|
||||
bool mlirBoolAttrGetValue(MlirAttribute attr) {
|
||||
return unwrap(attr).cast<BoolAttr>().getValue();
|
||||
}
|
||||
|
||||
|
@ -148,7 +148,7 @@ int mlirBoolAttrGetValue(MlirAttribute attr) {
|
|||
// Integer set attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsAIntegerSet(MlirAttribute attr) {
|
||||
bool mlirAttributeIsAIntegerSet(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<IntegerSetAttr>();
|
||||
}
|
||||
|
||||
|
@ -156,7 +156,7 @@ int mlirAttributeIsAIntegerSet(MlirAttribute attr) {
|
|||
// Opaque attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsAOpaque(MlirAttribute attr) {
|
||||
bool mlirAttributeIsAOpaque(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<OpaqueAttr>();
|
||||
}
|
||||
|
||||
|
@ -180,7 +180,7 @@ MlirStringRef mlirOpaqueAttrGetData(MlirAttribute attr) {
|
|||
// String attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsAString(MlirAttribute attr) {
|
||||
bool mlirAttributeIsAString(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<StringAttr>();
|
||||
}
|
||||
|
||||
|
@ -202,7 +202,7 @@ MlirStringRef mlirStringAttrGetValue(MlirAttribute attr) {
|
|||
// SymbolRef attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsASymbolRef(MlirAttribute attr) {
|
||||
bool mlirAttributeIsASymbolRef(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<SymbolRefAttr>();
|
||||
}
|
||||
|
||||
|
@ -238,7 +238,7 @@ MlirAttribute mlirSymbolRefAttrGetNestedReference(MlirAttribute attr,
|
|||
// Flat SymbolRef attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsAFlatSymbolRef(MlirAttribute attr) {
|
||||
bool mlirAttributeIsAFlatSymbolRef(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<FlatSymbolRefAttr>();
|
||||
}
|
||||
|
||||
|
@ -255,7 +255,7 @@ MlirStringRef mlirFlatSymbolRefAttrGetValue(MlirAttribute attr) {
|
|||
// Type attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsAType(MlirAttribute attr) {
|
||||
bool mlirAttributeIsAType(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<TypeAttr>();
|
||||
}
|
||||
|
||||
|
@ -271,7 +271,7 @@ MlirType mlirTypeAttrGetValue(MlirAttribute attr) {
|
|||
// Unit attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsAUnit(MlirAttribute attr) {
|
||||
bool mlirAttributeIsAUnit(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<UnitAttr>();
|
||||
}
|
||||
|
||||
|
@ -283,7 +283,7 @@ MlirAttribute mlirUnitAttrGet(MlirContext ctx) {
|
|||
// Elements attributes.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsAElements(MlirAttribute attr) {
|
||||
bool mlirAttributeIsAElements(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<ElementsAttr>();
|
||||
}
|
||||
|
||||
|
@ -293,8 +293,8 @@ MlirAttribute mlirElementsAttrGetValue(MlirAttribute attr, intptr_t rank,
|
|||
llvm::makeArrayRef(idxs, rank)));
|
||||
}
|
||||
|
||||
int mlirElementsAttrIsValidIndex(MlirAttribute attr, intptr_t rank,
|
||||
uint64_t *idxs) {
|
||||
bool mlirElementsAttrIsValidIndex(MlirAttribute attr, intptr_t rank,
|
||||
uint64_t *idxs) {
|
||||
return unwrap(attr).cast<ElementsAttr>().isValidIndex(
|
||||
llvm::makeArrayRef(idxs, rank));
|
||||
}
|
||||
|
@ -310,13 +310,13 @@ int64_t mlirElementsAttrGetNumElements(MlirAttribute attr) {
|
|||
//===----------------------------------------------------------------------===//
|
||||
// IsA support.
|
||||
|
||||
int mlirAttributeIsADenseElements(MlirAttribute attr) {
|
||||
bool mlirAttributeIsADenseElements(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<DenseElementsAttr>();
|
||||
}
|
||||
int mlirAttributeIsADenseIntElements(MlirAttribute attr) {
|
||||
bool mlirAttributeIsADenseIntElements(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<DenseIntElementsAttr>();
|
||||
}
|
||||
int mlirAttributeIsADenseFPElements(MlirAttribute attr) {
|
||||
bool mlirAttributeIsADenseFPElements(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<DenseFPElementsAttr>();
|
||||
}
|
||||
|
||||
|
@ -338,9 +338,9 @@ MlirAttribute mlirDenseElementsAttrSplatGet(MlirType shapedType,
|
|||
unwrap(element)));
|
||||
}
|
||||
MlirAttribute mlirDenseElementsAttrBoolSplatGet(MlirType shapedType,
|
||||
int element) {
|
||||
return wrap(DenseElementsAttr::get(unwrap(shapedType).cast<ShapedType>(),
|
||||
static_cast<bool>(element)));
|
||||
bool element) {
|
||||
return wrap(
|
||||
DenseElementsAttr::get(unwrap(shapedType).cast<ShapedType>(), element));
|
||||
}
|
||||
MlirAttribute mlirDenseElementsAttrUInt32SplatGet(MlirType shapedType,
|
||||
uint32_t element) {
|
||||
|
@ -444,7 +444,7 @@ MlirAttribute mlirDenseElementsAttrReshapeGet(MlirAttribute attr,
|
|||
//===----------------------------------------------------------------------===//
|
||||
// Splat accessors.
|
||||
|
||||
int mlirDenseElementsAttrIsSplat(MlirAttribute attr) {
|
||||
bool mlirDenseElementsAttrIsSplat(MlirAttribute attr) {
|
||||
return unwrap(attr).cast<DenseElementsAttr>().isSplat();
|
||||
}
|
||||
|
||||
|
@ -480,7 +480,7 @@ MlirStringRef mlirDenseElementsAttrGetStringSplatValue(MlirAttribute attr) {
|
|||
//===----------------------------------------------------------------------===//
|
||||
// Indexed accessors.
|
||||
|
||||
int mlirDenseElementsAttrGetBoolValue(MlirAttribute attr, intptr_t pos) {
|
||||
bool mlirDenseElementsAttrGetBoolValue(MlirAttribute attr, intptr_t pos) {
|
||||
return *(unwrap(attr).cast<DenseElementsAttr>().getValues<bool>().begin() +
|
||||
pos);
|
||||
}
|
||||
|
@ -529,7 +529,7 @@ const void *mlirDenseElementsAttrGetRawData(MlirAttribute attr) {
|
|||
// Opaque elements attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsAOpaqueElements(MlirAttribute attr) {
|
||||
bool mlirAttributeIsAOpaqueElements(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<OpaqueElementsAttr>();
|
||||
}
|
||||
|
||||
|
@ -537,7 +537,7 @@ int mlirAttributeIsAOpaqueElements(MlirAttribute attr) {
|
|||
// Sparse elements attribute.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirAttributeIsASparseElements(MlirAttribute attr) {
|
||||
bool mlirAttributeIsASparseElements(MlirAttribute attr) {
|
||||
return unwrap(attr).isa<SparseElementsAttr>();
|
||||
}
|
||||
|
||||
|
|
|
@ -21,7 +21,7 @@ using namespace mlir;
|
|||
// Integer types.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirTypeIsAInteger(MlirType type) {
|
||||
bool mlirTypeIsAInteger(MlirType type) {
|
||||
return unwrap(type).isa<IntegerType>();
|
||||
}
|
||||
|
||||
|
@ -41,15 +41,15 @@ unsigned mlirIntegerTypeGetWidth(MlirType type) {
|
|||
return unwrap(type).cast<IntegerType>().getWidth();
|
||||
}
|
||||
|
||||
int mlirIntegerTypeIsSignless(MlirType type) {
|
||||
bool mlirIntegerTypeIsSignless(MlirType type) {
|
||||
return unwrap(type).cast<IntegerType>().isSignless();
|
||||
}
|
||||
|
||||
int mlirIntegerTypeIsSigned(MlirType type) {
|
||||
bool mlirIntegerTypeIsSigned(MlirType type) {
|
||||
return unwrap(type).cast<IntegerType>().isSigned();
|
||||
}
|
||||
|
||||
int mlirIntegerTypeIsUnsigned(MlirType type) {
|
||||
bool mlirIntegerTypeIsUnsigned(MlirType type) {
|
||||
return unwrap(type).cast<IntegerType>().isUnsigned();
|
||||
}
|
||||
|
||||
|
@ -57,7 +57,7 @@ int mlirIntegerTypeIsUnsigned(MlirType type) {
|
|||
// Index type.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirTypeIsAIndex(MlirType type) { return unwrap(type).isa<IndexType>(); }
|
||||
bool mlirTypeIsAIndex(MlirType type) { return unwrap(type).isa<IndexType>(); }
|
||||
|
||||
MlirType mlirIndexTypeGet(MlirContext ctx) {
|
||||
return wrap(IndexType::get(unwrap(ctx)));
|
||||
|
@ -67,25 +67,25 @@ MlirType mlirIndexTypeGet(MlirContext ctx) {
|
|||
// Floating-point types.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirTypeIsABF16(MlirType type) { return unwrap(type).isBF16(); }
|
||||
bool mlirTypeIsABF16(MlirType type) { return unwrap(type).isBF16(); }
|
||||
|
||||
MlirType mlirBF16TypeGet(MlirContext ctx) {
|
||||
return wrap(FloatType::getBF16(unwrap(ctx)));
|
||||
}
|
||||
|
||||
int mlirTypeIsAF16(MlirType type) { return unwrap(type).isF16(); }
|
||||
bool mlirTypeIsAF16(MlirType type) { return unwrap(type).isF16(); }
|
||||
|
||||
MlirType mlirF16TypeGet(MlirContext ctx) {
|
||||
return wrap(FloatType::getF16(unwrap(ctx)));
|
||||
}
|
||||
|
||||
int mlirTypeIsAF32(MlirType type) { return unwrap(type).isF32(); }
|
||||
bool mlirTypeIsAF32(MlirType type) { return unwrap(type).isF32(); }
|
||||
|
||||
MlirType mlirF32TypeGet(MlirContext ctx) {
|
||||
return wrap(FloatType::getF32(unwrap(ctx)));
|
||||
}
|
||||
|
||||
int mlirTypeIsAF64(MlirType type) { return unwrap(type).isF64(); }
|
||||
bool mlirTypeIsAF64(MlirType type) { return unwrap(type).isF64(); }
|
||||
|
||||
MlirType mlirF64TypeGet(MlirContext ctx) {
|
||||
return wrap(FloatType::getF64(unwrap(ctx)));
|
||||
|
@ -95,7 +95,7 @@ MlirType mlirF64TypeGet(MlirContext ctx) {
|
|||
// None type.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirTypeIsANone(MlirType type) { return unwrap(type).isa<NoneType>(); }
|
||||
bool mlirTypeIsANone(MlirType type) { return unwrap(type).isa<NoneType>(); }
|
||||
|
||||
MlirType mlirNoneTypeGet(MlirContext ctx) {
|
||||
return wrap(NoneType::get(unwrap(ctx)));
|
||||
|
@ -105,7 +105,7 @@ MlirType mlirNoneTypeGet(MlirContext ctx) {
|
|||
// Complex type.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirTypeIsAComplex(MlirType type) {
|
||||
bool mlirTypeIsAComplex(MlirType type) {
|
||||
return unwrap(type).isa<ComplexType>();
|
||||
}
|
||||
|
||||
|
@ -121,13 +121,13 @@ MlirType mlirComplexTypeGetElementType(MlirType type) {
|
|||
// Shaped type.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirTypeIsAShaped(MlirType type) { return unwrap(type).isa<ShapedType>(); }
|
||||
bool mlirTypeIsAShaped(MlirType type) { return unwrap(type).isa<ShapedType>(); }
|
||||
|
||||
MlirType mlirShapedTypeGetElementType(MlirType type) {
|
||||
return wrap(unwrap(type).cast<ShapedType>().getElementType());
|
||||
}
|
||||
|
||||
int mlirShapedTypeHasRank(MlirType type) {
|
||||
bool mlirShapedTypeHasRank(MlirType type) {
|
||||
return unwrap(type).cast<ShapedType>().hasRank();
|
||||
}
|
||||
|
||||
|
@ -135,11 +135,11 @@ int64_t mlirShapedTypeGetRank(MlirType type) {
|
|||
return unwrap(type).cast<ShapedType>().getRank();
|
||||
}
|
||||
|
||||
int mlirShapedTypeHasStaticShape(MlirType type) {
|
||||
bool mlirShapedTypeHasStaticShape(MlirType type) {
|
||||
return unwrap(type).cast<ShapedType>().hasStaticShape();
|
||||
}
|
||||
|
||||
int mlirShapedTypeIsDynamicDim(MlirType type, intptr_t dim) {
|
||||
bool mlirShapedTypeIsDynamicDim(MlirType type, intptr_t dim) {
|
||||
return unwrap(type).cast<ShapedType>().isDynamicDim(
|
||||
static_cast<unsigned>(dim));
|
||||
}
|
||||
|
@ -148,11 +148,11 @@ int64_t mlirShapedTypeGetDimSize(MlirType type, intptr_t dim) {
|
|||
return unwrap(type).cast<ShapedType>().getDimSize(static_cast<unsigned>(dim));
|
||||
}
|
||||
|
||||
int mlirShapedTypeIsDynamicSize(int64_t size) {
|
||||
bool mlirShapedTypeIsDynamicSize(int64_t size) {
|
||||
return ShapedType::isDynamic(size);
|
||||
}
|
||||
|
||||
int mlirShapedTypeIsDynamicStrideOrOffset(int64_t val) {
|
||||
bool mlirShapedTypeIsDynamicStrideOrOffset(int64_t val) {
|
||||
return ShapedType::isDynamicStrideOrOffset(val);
|
||||
}
|
||||
|
||||
|
@ -160,7 +160,7 @@ int mlirShapedTypeIsDynamicStrideOrOffset(int64_t val) {
|
|||
// Vector type.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirTypeIsAVector(MlirType type) { return unwrap(type).isa<VectorType>(); }
|
||||
bool mlirTypeIsAVector(MlirType type) { return unwrap(type).isa<VectorType>(); }
|
||||
|
||||
MlirType mlirVectorTypeGet(intptr_t rank, const int64_t *shape,
|
||||
MlirType elementType) {
|
||||
|
@ -180,13 +180,13 @@ MlirType mlirVectorTypeGetChecked(intptr_t rank, const int64_t *shape,
|
|||
// Ranked / Unranked tensor type.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirTypeIsATensor(MlirType type) { return unwrap(type).isa<TensorType>(); }
|
||||
bool mlirTypeIsATensor(MlirType type) { return unwrap(type).isa<TensorType>(); }
|
||||
|
||||
int mlirTypeIsARankedTensor(MlirType type) {
|
||||
bool mlirTypeIsARankedTensor(MlirType type) {
|
||||
return unwrap(type).isa<RankedTensorType>();
|
||||
}
|
||||
|
||||
int mlirTypeIsAUnrankedTensor(MlirType type) {
|
||||
bool mlirTypeIsAUnrankedTensor(MlirType type) {
|
||||
return unwrap(type).isa<UnrankedTensorType>();
|
||||
}
|
||||
|
||||
|
@ -218,7 +218,7 @@ MlirType mlirUnrankedTensorTypeGetChecked(MlirType elementType,
|
|||
// Ranked / Unranked MemRef type.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirTypeIsAMemRef(MlirType type) { return unwrap(type).isa<MemRefType>(); }
|
||||
bool mlirTypeIsAMemRef(MlirType type) { return unwrap(type).isa<MemRefType>(); }
|
||||
|
||||
MlirType mlirMemRefTypeGet(MlirType elementType, intptr_t rank,
|
||||
const int64_t *shape, intptr_t numMaps,
|
||||
|
@ -261,7 +261,7 @@ unsigned mlirMemRefTypeGetMemorySpace(MlirType type) {
|
|||
return unwrap(type).cast<MemRefType>().getMemorySpace();
|
||||
}
|
||||
|
||||
int mlirTypeIsAUnrankedMemRef(MlirType type) {
|
||||
bool mlirTypeIsAUnrankedMemRef(MlirType type) {
|
||||
return unwrap(type).isa<UnrankedMemRefType>();
|
||||
}
|
||||
|
||||
|
@ -284,7 +284,7 @@ unsigned mlirUnrankedMemrefGetMemorySpace(MlirType type) {
|
|||
// Tuple type.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirTypeIsATuple(MlirType type) { return unwrap(type).isa<TupleType>(); }
|
||||
bool mlirTypeIsATuple(MlirType type) { return unwrap(type).isa<TupleType>(); }
|
||||
|
||||
MlirType mlirTupleTypeGet(MlirContext ctx, intptr_t numElements,
|
||||
MlirType const *elements) {
|
||||
|
@ -305,7 +305,7 @@ MlirType mlirTupleTypeGetType(MlirType type, intptr_t pos) {
|
|||
// Function type.
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
int mlirTypeIsAFunction(MlirType type) {
|
||||
bool mlirTypeIsAFunction(MlirType type) {
|
||||
return unwrap(type).isa<FunctionType>();
|
||||
}
|
||||
|
||||
|
|
|
@ -155,7 +155,7 @@ run(testIntegerAttr)
|
|||
def testBoolAttr():
|
||||
with Context() as ctx:
|
||||
battr = BoolAttr(Attribute.parse("true"))
|
||||
# CHECK: iattr value: 1
|
||||
# CHECK: iattr value: True
|
||||
print("iattr value:", battr.value)
|
||||
|
||||
# Test factory methods.
|
||||
|
|
Loading…
Reference in New Issue