// have any legalization or canonicalization patterns but shouldn't be marked
// for outside compilation.
//
// TODO(b/177523289): Remove manual handling once we support constant folding
// and shape inference through the computation on the host side.
void AddSupportedOpsUsingFolding(MLIRContext* context,
                                 llvm::DenseSet<OperationName>* supported_ops) {
  llvm::SmallDenseSet<OperationName, 8> allowlist_ops = {

bool IsCastOfResource(Operation &op) {
  auto cast = dyn_cast<TF::CastOp>(op);
  if (!cast) return false;
  return IsResource(cast.getX());
}

// Removes passthrough ops in the block. The device computation does not need
// such nodes to carry information.
void RemovePassthroughOp(Block &block) {
  for (auto &op : llvm::make_early_inc_range(block)) {
    if (isa<TF::IdentityOp, TF::IdentityNOp>(op) || IsCastOfResource(op)) {

  // Set execute_launch when there is exactly one
  // TPUExecuteAndUpdateVariablesOp. More than one means there is model
  // parallelism, which is not supported with TPUReshardVariables. None
  // means there is no TPU computation.
  tf_device::LaunchOp execute_launch;
  TF::TPUExecuteAndUpdateVariablesOp execute;
  replicate.walk([&](TF::TPUExecuteAndUpdateVariablesOp execute_op) {
    execute_launch =

            "Generated accessors can only be cached in strict mode."
        ) {
            @Suppress("DEPRECATION")
            !strict.get()
        }
    }

    /**
     *  ## Computation and sharing of type-safe accessors
     * 1. Group precompiled script plugins by the list of plugins applied in their `plugins` block.
     * 2. For each group, compute the project schema implied by the list of plugins.

			Note that sensitive values like the Bootstrap Token fields are replaced with placeholder values like %q in order to pass validation but
			not perform the real computation for creating a token.
		`), action, action, configutil.PlaceholderToken.Token.String()),
		RunE: func(cmd *cobra.Command, args []string) error {
			groups, err := mapLegacyKindsToGroups(kinds)
			if err != nil {

// compiler. According to the language spec, a method pkg.T.f is
// unexported simply because its name starts with lowercase. But the
// compiler must nonetheless export f so that downstream compilations can
// accurately ascertain whether pkg.T implements an interface pkg.I
// defined as interface{f()}. Exported thus means "described in export
// data".
package facts

import (
	"bytes"
	"encoding/gob"

  for (auto& op : llvm::make_early_inc_range(block->getOperations())) {
    if (llvm::isa<TF::IdentityOp, TF::IdentityNOp>(&op)) {
      // Removes identity nodes in the block. The device computation does not
      // need such nodes to carry information.
      op.replaceAllUsesWith(op.getOperands());
      op.erase();
    } else if (auto stack = llvm::dyn_cast<TF::StackV2Op>(&op)) {

						// buffers (the whole point of progressive encoding), but in Go, the jpeg.Decode
						// function does not return until the entire image is decoded, so we "continue"
						// here to avoid wasted computation. Instead, reconstructBlock is called on each
						// accumulated block by the reconstructProgressiveImage method after all of the
						// SOS markers are processed.
						continue
					}

func isTypeParam(t Type) bool {
	_, ok := Unalias(t).(*TypeParam)
	return ok
}

// hasEmptyTypeset reports whether t is a type parameter with an empty type set.
// The function does not force the computation of the type set and so is safe to
// use anywhere, but it may report a false negative if the type set has not been
// computed yet.
func hasEmptyTypeset(t Type) bool {

func isTypeParam(t Type) bool {
	_, ok := Unalias(t).(*TypeParam)
	return ok
}

// hasEmptyTypeset reports whether t is a type parameter with an empty type set.
// The function does not force the computation of the type set and so is safe to
// use anywhere, but it may report a false negative if the type set has not been
// computed yet.
func hasEmptyTypeset(t Type) bool {