for (int i : llvm::seq<int>(1, num_dims - 1)) {
    Value input_size_i = GetDimValue(builder, loc, input_shape_value, i);
    const int stride_i = mlir::cast<IntegerAttr>(strides[i]).getInt();
    const int dilation_i = mlir::cast<IntegerAttr>(dilations[i]).getInt();
    const int filter_i = filter_shape.getDimSize(i - 1);
    Value pad_i_low, pad_i_high;
    GetSamePaddingValues(builder, loc, input_size_i, filter_i, dilation_i,

package tls

import (
	"strconv"
	"time"

	"github.com/minio/minio/internal/auth"
	"github.com/minio/minio/internal/config"
	"github.com/minio/pkg/v3/env"
)

const (
	// EnvIdentityTLSEnabled is an environment variable that controls whether the X.509
	// TLS STS API is enabled. By default, if not set, it is enabled.
	EnvIdentityTLSEnabled = "MINIO_IDENTITY_TLS_ENABLE"

      [](mlir::OpPassManager& pm, llvm::StringRef options,
         llvm::function_ref<mlir::LogicalResult(const llvm::Twine&)>
             errorHandler) {
        tensorflow::PopulateLowerToMlProgramAndHloPipeline(pm);
        return mlir::success();
      },
      [](llvm::function_ref<void(const mlir::detail::PassOptions&)>) {});
}

	}

	defer runtime.GOMAXPROCS(runtime.GOMAXPROCS(8))
	c0 := make(chan int, 1)
	c1 := make(chan int, 1)
	c2 := make(chan int, 1)
	const procs = 2
	var done sync.WaitGroup
	done.Add(4 * procs)
	for p := 0; p < procs; p++ {
		const iters = 1e3
		go func() {
			trace.WithRegion(context.Background(), "special", func() {
				for i := 0; i < iters; i++ {
					runtime.Gosched()
					c0 <- 0
				}

 */

package org.gradle.internal.cc.impl.problems

import java.io.BufferedReader
import java.net.URL


internal
object HtmlReportTemplate {

    const val reportHtmlFileName = "configuration-cache-report.html"

    private
    const val modelLine = """<script type="text/javascript" src="configuration-cache-report-data.js"></script>"""

    /**
     * Returns the header and footer of the html template as a pair.

		scope: d.file,
	}

	// Const and var declarations must not have initialization
	// cycles. We track them by remembering the current declaration
	// in check.decl. Initialization expressions depending on other
	// consts, vars, or functions, add dependencies to the current
	// check.decl.
	switch obj := obj.(type) {
	case *Const:
		check.decl = d // new package-level const decl

#include "tensorflow/compiler/mlir/lite/schema/schema_conversion_utils.h"

#include <algorithm>

namespace tflite {

int8_t ConvertBuiltinCodeToDeprecatedBuiltinCode(
    const BuiltinOperator builtin_code) {
  return (builtin_code < BuiltinOperator_PLACEHOLDER_FOR_GREATER_OP_CODES)
             ? static_cast<int8_t>(builtin_code)
             : static_cast<int8_t>(

        int i = 0;
        for (const auto& error_data : collected_errors) {
          serialized_message_list[i++] = pybind11::bytes(error_data);
        }
        return serialized_message_list;
      },
      R"pbdoc(
      Returns and clears the list of collected errors in ErrorCollector.
    )pbdoc");
  m.def(
      "FlatBufferToMlir",
      [](const std::string& model, bool input_is_filepath) {

//   success, or an absl::Status with an error message on failure.
absl::StatusOr<OwningOpRef<ModuleOp>> TfToStablehlo(
    absl::string_view input_path, MLIRContext* context,
    const std::vector<std::string>& exported_model_signatures,
    const std::vector<std::string>& tag_names,
    absl::string_view input_arg_shapes_str, bool is_input_mlir_module);

}  // namespace mlir

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

package constants

// Command line arguments
const (
	// Install
	MountedCNINetDir     = "mounted-cni-net-dir"
	CNINetDir            = "cni-net-dir"
	CNIConfName          = "cni-conf-name"
	ChainedCNIPlugin     = "chained-cni-plugin"