if (failed(::mlir::TF::UpdateDataFormat(data_format, this))) return failure();

  // Update convolution attributes.
  (*this)->setAttr("dilations", ShuffleArrayAttr(getDilations(), perm));
  (*this)->setAttr("strides", ShuffleArrayAttr(getStrides(), perm));
  (*this)->setAttr("explicit_paddings",
                   ShuffleArrayAttr(getExplicitPaddings(), perm, 2));

  return success();
}

          /*type=*/mlir::TypeAttr::get(value_attr.getType()),
          /*is_mutable=*/nullptr);
      op->setAttr(
          kTfSavedModelExportedNamesAttr,
          builder.getStrArrayAttr(object_names.GetExportedNames(node_id)));
    }
  }
  AdjustBoundInputArgTypes(module);
  module->setAttr("tf_saved_model.semantics", builder.getUnitAttr());
  SortSavedModelModule(module);

            addSetterForProperty(property, setter);
        }

        private void addSetterForProperty(PropertyMetadata property, Method setter) {
            // GENERATE public void <setter>(<type> value) { <field> == value }
            Type fieldType = getType(property.getType());

java.util.List componentDescriptors; public void Requirement(Object, java.util.List); public Object getAssignment(); public java.util.List getComponentDescript(); } org/codehaus/plexus/component/composition/setter/SetterComponentCompo.class package org.codehaus.plexus.component.composition.setter; public synchronized class SetterComponentCompo extends org.codehaus.plexus.component.composition.AbstractComponentCom { public static final String PROPERTY_DESCRIPTORS; public void SetterComponentCompo();...

java.util.List componentDescriptors; public void Requirement(Object, java.util.List); public Object getAssignment(); public java.util.List getComponentDescript(); } org/codehaus/plexus/component/composition/setter/SetterComponentCompo.class package org.codehaus.plexus.component.composition.setter; public synchronized class SetterComponentCompo extends org.codehaus.plexus.component.composition.AbstractComponentCom { public static final String PROPERTY_DESCRIPTORS; public void SetterComponentCompo();...

java.util.List componentDescriptors; public void Requirement(Object, java.util.List); public Object getAssignment(); public java.util.List getComponentDescript(); } org/codehaus/plexus/component/composition/setter/SetterComponentCompo.class package org.codehaus.plexus.component.composition.setter; public synchronized class SetterComponentCompo extends org.codehaus.plexus.component.composition.AbstractComponentCom { public static final String PROPERTY_DESCRIPTORS; public void SetterComponentCompo();...

java.util.List componentDescriptors; public void Requirement(Object, java.util.List); public Object getAssignment(); public java.util.List getComponentDescript(); } org/codehaus/plexus/component/composition/setter/SetterComponentCompo.class package org.codehaus.plexus.component.composition.setter; public synchronized class SetterComponentCompo extends org.codehaus.plexus.component.composition.AbstractComponentCom { public static final String PROPERTY_DESCRIPTORS; public void SetterComponentCompo();...

                "/"
            ), "A path prefix must not end with '/', as the routes will start with '/'"
        else:
            for r in router.routes:
                path = getattr(r, "path")  # noqa: B009
                name = getattr(r, "name", "unknown")
                if path is not None and not path:
                    raise FastAPIError(

template <typename CallOpClass>
static LogicalResult VerifyPartitionedCall(CallOpClass op,
                                           SymbolTableCollection &symbolTable) {
  SymbolRefAttr func = op->getAttr("f").template cast<SymbolRefAttr>();
  auto function = symbolTable.lookupNearestSymbolFrom<func::FuncOp>(op, func);
  if (!function) {
    return op.emitError("'f' attribute refers to an undefined function: ")

    // folding), but we can still derive the shape of a constant tensor for
    // its attribute type.
    auto tensor_attr = mlir::cast<mlir::TypedAttr>(inst->getAttr("value"));
    llvm::ArrayRef<int64_t> shape_ref =
        mlir::cast<TensorType>(tensor_attr.getType()).getShape();
    if (mlir::failed(check_shape(shape_ref))) return std::nullopt;