limitations under the License.
*/

// Package direct provides functions for marshaling and unmarshaling between arbitrary Go values and
// CBOR data, with behavior that is compatible with that of the CBOR serializer. In particular,
// types that implement cbor.Marshaler and cbor.Unmarshaler should use these functions.
package direct

import (
	"k8s.io/apimachinery/pkg/runtime/serializer/cbor/internal/modes"
)

#     ci/official/wheel.sh
#   TFCI: The env config path, relative to the TF root dir, e.g.
#     ci/official/envs/an_env_config
#
# Note that you can combine bisect.sh with any.sh to bisect a single test:
#
#   export TFCI=...
#   export TF_BISECT_SCRIPT=ci/official/any.sh
#   export TF_BISECT_GOOD=a_good_commit_sha
#   export TF_BISECT_BAD=a_failing_commit_sha

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Package bisect can be used by compilers and other programs
// to serve as a target for the bisect debugging tool.
// See [golang.org/x/tools/cmd/bisect] for details about using the tool.
//
// To be a bisect target, allowing bisect to help determine which of a set of independent
// changes provokes a failure, a program needs to:
//

           ~/.gradle-bisect-override

# check revision
./check_rev.sh RealWorldNativePluginPerformanceTest mediumNativeMonolithic
```

Now you can use the script automatically with `git bisect`.

```bash
git bisect start HEAD REL_2.14 --  # HEAD=bad REL_2.14=good
git bisect run check_rev.sh RealWorldNativePluginPerformanceTest mediumNativeMonolithic
```

limitations under the License.
==============================================================================*/

// Pattern definition file for direct lowering of mhlo composites to tflite ops.
include "mlir/IR/OpBase.td"
include "mlir/Dialect/Arith/IR/ArithOps.td"
include "mlir/Dialect/Func/IR/FuncOps.td"
include "mhlo/IR/hlo_ops.td"
include "tensorflow/compiler/mlir/lite/ir/tfl_ops.td"

==============================================================================*/

#include <memory>
#include <string>

#include "llvm/ADT/SmallVector.h"
#include "llvm/Support/Casting.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinAttributes.h"  // from @llvm-project
#include "mlir/IR/Operation.h"  // from @llvm-project
#include "mlir/IR/Value.h"  // from @llvm-project

#include <algorithm>
#include <cstdint>
#include <memory>
#include <utility>

#include "llvm/ADT/SmallVector.h"
#include "llvm/Support/Casting.h"
#include "mlir/Dialect/Arith/IR/Arith.h"  // from @llvm-project
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/Attributes.h"  // from @llvm-project
#include "mlir/IR/BuiltinAttributes.h"  // from @llvm-project

}

func issect(s *pe.COFFSymbol) bool {
	return s.StorageClass == IMAGE_SYM_CLASS_STATIC && s.Type == 0 && s.Name[0] == '.'
}

func (state *peLoaderState) readpesym(pesym *pe.COFFSymbol) (*loader.SymbolBuilder, loader.Sym, error) {
	symname, err := pesym.FullName(state.f.StringTable)
	if err != nil {
		return nil, 0, err
	}
	var name string
	if issect(pesym) {

// Creates an instance of the TensorFlow Lite dialect PrepareTF pass.
std::unique_ptr<OperationPass<func::FuncOp>> CreatePrepareTFPass(
    bool unfold_batch_matmul, bool allow_bf16_and_f16_type_legalization,
    bool use_fake_quant_num_bits = false);
std::unique_ptr<OperationPass<func::FuncOp>> CreatePrepareTFPass();

// Creates an instance of the TensorFlow Lite dialect LowerStaticTensorList
// pass.

        direct = mavenHttpRepo.module("test", "direct", "1.0")
        direct.dependsOn(transitive)
    }

    // region With Gradle Module Metadata
    def "direct has GMM and no sources or javadoc jars"() {
        transitive.withModuleMetadata()
        transitive.publish()
        direct.withModuleMetadata()
        direct.publish()

        buildFile << """