forked from OSchip/llvm-project
Replace comments referring to "vector or tensor" with "shaped" where appropriate
PiperOrigin-RevId: 251306752
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@ -1061,7 +1061,7 @@ class TCresVTEtIsSameAsOp<int i, int j> : And<[
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// Type Constraint operands' Element type are all Same At the given `indices`.
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// We query the operands' types into a list and check they are all the same.
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// Precondition:
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// 1) all operands involved are of vector or tensor type and
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// 1) all operands involved are of shaped type and
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// 2) the indices are not out of range.
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class TCopVTEtAreSameAt<list<int> indices> :
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CPred<"llvm::is_splat(mlir::functional::map("
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@ -816,14 +816,14 @@ OpTrait::impl::verifySameOperandsAndResultElementType(Operation *op) {
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auto type = op->getResult(0)->getType().dyn_cast<ShapedType>();
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if (!type)
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return op->emitOpError("requires vector or tensor type results");
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return op->emitOpError("requires shaped type results");
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auto elementType = type.getElementType();
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// Verify result element type matches first result's element type.
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for (auto result : drop_begin(op->getResults(), 1)) {
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auto resultType = result->getType().dyn_cast<ShapedType>();
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if (!resultType)
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return op->emitOpError("requires vector or tensor type results");
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return op->emitOpError("requires shaped type results");
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if (resultType.getElementType() != elementType)
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return op->emitOpError(
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"requires the same element type for all operands and results");
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@ -833,7 +833,7 @@ OpTrait::impl::verifySameOperandsAndResultElementType(Operation *op) {
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for (auto operand : op->getOperands()) {
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auto operandType = operand->getType().dyn_cast<ShapedType>();
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if (!operandType)
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return op->emitOpError("requires vector or tensor type operands");
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return op->emitOpError("requires shaped type operands");
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if (operandType.getElementType() != elementType)
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return op->emitOpError(
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"requires the same element type for all operands and results");
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@ -37,7 +37,7 @@ def OpC : NS_Op<"op_for_TCopVTEtIs", [
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def OpD : NS_Op<"op_for_TCOpVTEtIsSameAs", [
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PredOpTrait<"first operand is a vector or tensor with the same "
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PredOpTrait<"first operand is a shaped type with the same "
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"elemental type as itself",
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TCopVTEtIsSameAs<0, 0>>]> {
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let arguments = (ins AnyTensor:$x);
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@ -45,11 +45,11 @@ def OpD : NS_Op<"op_for_TCOpVTEtIsSameAs", [
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// CHECK-LABEL: OpD::verify
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// CHECK: if (!((((*this->getOperation()).getNumOperands() > std::max(0,0))) && (((*this->getOperation()).getOperand(0)->getType().isa<ShapedType>())) && (((*this->getOperation()).getOperand(0)->getType().isa<ShapedType>())) && (((*this->getOperation()).getOperand(0)->getType().cast<ShapedType>().getElementType() == (*this->getOperation()).getOperand(0)->getType().cast<ShapedType>().getElementType()))))
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// CHECK-NEXT: return emitOpError("failed to verify that first operand is a vector or tensor with the same elemental type as itself");
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// CHECK-NEXT: return emitOpError("failed to verify that first operand is a shaped type with the same elemental type as itself");
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def OpE : NS_Op<"op_for_TCresVTEtIsSameAsOp", [
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PredOpTrait<"first operand is a vector or tensor with the same "
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PredOpTrait<"first operand is a shaped type with the same "
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"elemental type as first result",
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TCresVTEtIsSameAsOp<0, 0>>]> {
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let arguments = (ins AnyTensor:$x);
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@ -58,7 +58,7 @@ def OpE : NS_Op<"op_for_TCresVTEtIsSameAsOp", [
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// CHECK-LABEL: OpE::verify
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// CHECK: if (!((((*this->getOperation()).getNumResults() > 0)) && (((*this->getOperation()).getNumOperands() > 0)) && (((*this->getOperation()).getResult(0)->getType().isa<ShapedType>())) && (((*this->getOperation()).getOperand(0)->getType().isa<ShapedType>())) && (((*this->getOperation()).getResult(0)->getType().cast<ShapedType>().getElementType() == (*this->getOperation()).getOperand(0)->getType().cast<ShapedType>().getElementType()))))
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// CHECK-NEXT: return emitOpError("failed to verify that first operand is a vector or tensor with the same elemental type as first result");
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// CHECK-NEXT: return emitOpError("failed to verify that first operand is a shaped type with the same elemental type as first result");
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def OpF : NS_Op<"op_for_int_min_val", []> {
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