_ = b[1] // bounds check hint to compiler; see golang.org/issue/14808
	return uint16(b[0]) | uint16(b[1])<<8
}

func (binaryLittleEndian) PutUint16(b []byte, v uint16) {
	_ = b[1] // early bounds check to guarantee safety of writes below
	b[0] = byte(v)
	b[1] = byte(v >> 8)
}

func (binaryLittleEndian) Uint32(b []byte) uint32 {
	_ = b[3] // bounds check hint to compiler; see golang.org/issue/14808

  //
  // Returns `true` if successful. Returns `std::nullopt` otherwise.
  //
  // If the function signature changes, likely its corresponding .pyi type
  // hinting and definition should also change.
  // LINT.IfChange(save_exported_model)
  virtual std::optional<bool> SaveExportedModel(
      absl::string_view dst_saved_model_path,
      const ExportedModel& exported_model,
      absl::string_view src_saved_model_path,

// Package byteorder provides functions for decoding and encoding
// little and big endian integer types from/to byte slices.
package byteorder

func LeUint16(b []byte) uint16 {
	_ = b[1] // bounds check hint to compiler; see golang.org/issue/14808
	return uint16(b[0]) | uint16(b[1])<<8
}

func LePutUint16(b []byte, v uint16) {
	_ = b[1] // early bounds check to guarantee safety of writes below
	b[0] = byte(v)

// RUN: tf-opt %s -test-tf-lower-tf | FILECHECK_OPTS="" FileCheck %s

// CHECK-LABEL: dequantize
func.func @dequantize(%arg0: tensor<2x3x!tf_type.qint8>, %min_range: tensor<f32>, %max_range: tensor<f32>) -> tensor<2x3xf32> {
  // CHECK-DAG: %[[HALF_RANGE:.*]] = "tf.Const"() <{value = dense<1.280000e+02> : tensor<f32>}>
  // CHECK-DAG: %[[C255:.*]] = "tf.Const"() <{value = dense<2.550000e+02> : tensor<f32>}>

		i = m
	}
	return i
}

func min3(b []*batchCursor, i0, i1, i2 int) int {
	minIdx := i0
	minT := maxTime
	if i0 < len(b) {
		minT = b[i0].ev.time
	}
	if i1 < len(b) {
		if t := b[i1].ev.time; t < minT {
			minT = t
			minIdx = i1
		}
	}
	if i2 < len(b) {
		if t := b[i2].ev.time; t < minT {
			minT = t
			minIdx = i2
		}
	}
	return minIdx

name: reviewdog
on: [pull_request]
jobs:
  golangci-lint:
    name: runner / golangci-lint
    runs-on: ubuntu-latest
    steps:
      - name: Check out code into the Go module directory
        uses: actions/checkout@v4
      - name: golangci-lint
        uses: reviewdog/action-golangci-lint@v2

      - name: Setup reviewdog
        uses: reviewdog/action-setup@v1

      - name: gofumpt -s with reviewdog
        env:

    output_quantization_max_val = 127 : i64,
    output_quantization_min_val = -128 : i64
  } : (
    tensor<10x!tf_type.qint8>, tensor<f32>, tensor<i32>, tensor<f32>,
    tensor<i32>
  ) -> tensor<10x!tf_type.qint8>
  %2 = "tf.Cast"(%1) {} : (tensor<10x!tf_type.qint8>) -> tensor<10xi8>
  return %2 : tensor<10xi8>
})mlir";
  TF_ASSERT_OK_AND_ASSIGN(auto input, CreateRandomI8Literal({10}));

# See the License for the specific language governing permissions and
# limitations under the License.

if [[ "${ARTIFACTS}" != "" ]]; then
  golangci-lint run -v -c ./common/config/.golangci.yml --out-format colored-line-number,junit-xml:"${ARTIFACTS}"/junit-lint.xml
else
  golangci-lint run -v -c ./common/config/.golangci.yml

// This file contains descriptions of the various TensorFlow types. This is
// used as a central place for enumerating the different types.

#ifdef HANDLE_TF_TYPE

//             class, enumerant, name
HANDLE_TF_TYPE(Qint8, QINT8, "qint8")
HANDLE_TF_TYPE(Qint16, QINT16, "qint16")
HANDLE_TF_TYPE(Qint32, QINT32, "qint32")
HANDLE_TF_TYPE(Quint8, QUINT8, "quint8")
HANDLE_TF_TYPE(Quint16, QUINT16, "quint16")
HANDLE_TF_TYPE(String, STRING, "string")

  pybind11_protobuf::ImportNativeProtoCasters();

  m.def(
      // If the function signature changes, likely its corresponding .pyi type
      // hinting should also change.
      // LINT.IfChange
      "quantize_qat_model",
      [](const absl::string_view src_saved_model_path,
         const absl::string_view dst_saved_model_path,
         const QuantizationOptions& quantization_options,