*       String}.
 * </ul>
 *
 * This is the same behavior as type-variable usages have to Kotlin and to the Checker Framework.
 * Contrast the method above to:
 *
 * <ul>
 *   <li>methods whose return type is a type variable but which can never return {@code null},
 *       typically because the type forbids nullable type arguments: For example, {@code

 *       String}.
 * </ul>
 *
 * This is the same behavior as type-variable usages have to Kotlin and to the Checker Framework.
 * Contrast the method above to:
 *
 * <ul>
 *   <li>methods whose return type is a type variable but which can never return {@code null},
 *       typically because the type forbids nullable type arguments: For example, {@code

 *       String}.
 * </ul>
 *
 * This is the same behavior as type-variable usages have to Kotlin and to the Checker Framework.
 * Contrast the method above to:
 *
 * <ul>
 *   <li>methods whose return type is a type variable but which can never return {@code null},
 *       typically because the type forbids nullable type arguments: For example, {@code

 *       String}.
 * </ul>
 *
 * This is the same behavior as type-variable usages have to Kotlin and to the Checker Framework.
 * Contrast the method above to:
 *
 * <ul>
 *   <li>methods whose return type is a type variable but which can never return {@code null},
 *       typically because the type forbids nullable type arguments: For example, {@code

import (
	"crypto/subtle"
)

// A dynamic lookup table for variable-base, constant-time scalar muls.
type projLookupTable struct {
	points [8]projCached
}

// A precomputed lookup table for fixed-base, constant-time scalar muls.
type affineLookupTable struct {
	points [8]affineCached
}

// A dynamic lookup table for variable-base, variable-time scalar muls.
type nafLookupTable5 struct {
	points [8]projCached
}

        ":tf_concrete_function",
        ":tf_signature_def_function",
        ":variable",
        "//tensorflow/core:lib",
        "@com_google_absl//absl/container:flat_hash_map",
    ],
)

cc_library(
    name = "variable",
    srcs = [
        "variable.cc",
    ],
    hdrs = [
        "variable.h",
    ],
    deps = [
        ":tensorhandle_convertible",

  default, can be disabled by REQUIRE_3P_TOKEN environment variable in Istiod, which will require new tokens with audience. The

	}

	// If we have a n:n mapping from lhs variable to rhs expression,
	// each value can be assigned to its corresponding variable.
	if l == r && !isCall {
		var x operand
		for i, lhs := range lhs {
			desc := lhs.name
			if returnStmt != nil && desc == "" {
				desc = "result variable"
			}
			check.expr(newTarget(lhs.typ, desc), &x, orig_rhs[i])

// Expose higher level temporary variable operator for Pluggable vendors to
// implement in the plugin for destroying temporary variables. The API takes in
// the context with indices for the input and variable name. This function will
// return an error when either of the following conditions is met:
//   1. `input data type` is not ref type
//   2. Cannot find temporary variable by name in arguments

namespace mlir {
namespace tf_saved_model {

// Returns the variable for the provided 'var_handle_op'.
std::string GetVariableName(TF::VarHandleOp var_handle_op);

// Returns pointer to the variable from 'session' that 'var_handle_op'
// refers to which is in 'device_name' device. If failed to fetch the value null
// will be returned.
// Note, caller is responsible for Unref the variable.