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,

# ==============================================================================

# LINT.IfChange(savedmodel_to_stablehlo)
def savedmodel_to_stablehlo(
    input_path: str,
    exported_model_signatures: list[str] = ["serving_default"],
    tag_names: list[str] = ["serve"],
    input_arg_shapes_str: str = "",
) -> bytes: ...
# LINT.ThenChange()

# LINT.IfChange(tensorflow_module_to_stablehlo)
def tensorflow_module_to_stablehlo(

          std::vector<std::string>{"serving_default"},
      py::arg("tag_names") = std::vector<std::string>{"serve"},
      py::arg("input_arg_shapes_str") = "");
  // LINT.ThenChange(pywrap_tensorflow_to_stablehlo.pyi:savedmodel_to_stablehlo)
  //
  // LINT.IfChange(tensorflow_module_to_stablehlo)
  m.def(
      "tensorflow_module_to_stablehlo",
      [](absl::string_view module_op_str,

        py::arg("signature_keys"), py::arg("signature_def_map_serialized"),
        py::arg("py_function_library"));
  // LINT.ThenChange(pywrap_quantization.pyi:static_range_ptq)

  // If the function signature changes, likely its corresponding .pyi type
  // hinting should also change.
  // LINT.IfChange(weight_only_ptq)
  m.def("weight_only_ptq", &PywrapQuantizeWeightOnlyPtq,
        R"pbdoc(

/**
 * This realizes the metadata source via the default hint to provide backward-compat with Maven 2.x whose Plexus version
 * registered component descriptors twice: once keyed by role+roleHint and once keyed by role only. This effectively
 * made the metadata source available with its original role hint ("maven") as well as the default hint.
 *
 */
@Named
@Singleton
@Deprecated

	@(env bash $(PWD)/buildscripts/cross-compile.sh)

verifiers: lint check-gen

check-gen: ## check for updated autogenerated files
	@go generate ./... >/dev/null
	@(! git diff --name-only | grep '_gen.go$$') || (echo "Non-committed changes in auto-generated code is detected, please commit them to proceed." && false)

lint: getdeps ## runs golangci-lint suite of linters
	@echo "Running $@ check"

	//	ptr ptr INT ptr ptr
	//	ptr ptr INT ptr ptr
	//	ptr ptr INT ptr ptr
	//	ptr ptr INT ptr ptr
	// aka
	//
	//	ptr ptr INT ptr ptr ptr ptr INT
	//	ptr ptr ptr ptr INT ptr ptr ptr
	//	ptr INT ptr ptr ptr ptr INT ptr
	//	ptr ptr ptr INT ptr ptr ptr ptr
	//	INT ptr ptr ptr ptr INT ptr ptr
	//
	// Assumptions about Finalizer layout checked below.
	1<<0 | 1<<1 | 0<<2 | 1<<3 | 1<<4 | 1<<5 | 1<<6 | 0<<7,