// Display options.
	"relative_percentages": helpText(
		"Show percentages relative to focused subgraph",
		"If unset, percentages are relative to full graph before focusing",
		"to facilitate comparison with original graph."),
	"unit": helpText(
		"Measurement units to display",
		"Scale the sample values to this unit.",

For each script, plugin, or lifecycle callback, the last column represents the tasks created immediately or during configuration.
Ideally, this column should be empty.
+
3. Focusing on a script, plugin, or lifecycle callback will show a breakdown of the tasks that were created.

[[sec:task_configuration_avoidance_pitfalls]]
=== Migration pitfalls

    In a real life application you would need to hash the password and never save them in plaintext.

    For more details, go back to the Security section in the tutorial.

    Here we are focusing only on the tools and mechanics of databases.

!!! tip

    <div class="absolute right-0 top-0 hidden pr-4 pt-4 sm:block">
      <button id="close-dialog" type="button" class="rounded-md bg-white text-gray-400 hover:text-gray-500 focus:outline-none focus:ring-2 focus:ring-blue-500 focus:ring-offset-2">
        <span class="sr-only">Close</span>
        <svg class="h-6 w-6" fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor" aria-hidden="true">

// Fusing:  %[[add3:[0-9].*]] = tfl.add %[[add2]], %[[relu]] {fused_activation_function = "RELU6"} : tensor<1xf32>
// Fusing:  return

// NoFusing-LABEL: FusingaddRelu
// NoFusing:  %[[add:[0-9].*]] = tfl.add %arg0, %arg1 {fused_activation_function = "NONE"} : tensor<1xf32>
// NoFusing:  %[[add1:[0-9].*]] = tfl.add %arg0, %[[add]] {fused_activation_function = "RELU"} : tensor<1xf32>

[type=button]{-webkit-appearance:button}[type=button]::-moz-focus-inner,[type=reset]::-moz-focus-inner,[type=submit]::-moz-focus-inner,button::-moz-focus-inner{border-style:none;padding:0}[type=button]:-moz-focusring,[type=reset]:-moz-focusring,[type=submit]:-moz-focusring,button:-moz-focusring{outline:1px dotted ButtonText}fieldset{padding:.35em .75em .625em}legend{box-sizing:border-box;color:inherit;display:table;max-width:100%;padding:0;white-space:normal}progress{display:inline-block;vertical...

// TODO(b/158266710): Support CPU MKL configurations.

#define GEN_PASS_DEF_FUSEDKERNELMATCHERPASS
#include "tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.h.inc"

// Optimizes TF computations by fusing subgraphs/nodes onto more efficient
// implementations to decrease the number of operations needed to perform a
// computation.
struct FusedKernelMatcherPass
    : public impl::FusedKernelMatcherPassBase<FusedKernelMatcherPass> {

 private:
  void runOnOperation() override;
};

void UnwrapXlaCallModuleOp(TF::XlaCallModuleOp call_op,
                           SymbolTable& symbol_table) {
  // Do not inline lifted quantized functions used for fusing patterns.
  // TODO - b/310539922: Remove reference to TF/TFL utils.
  if (call_op->hasAttr(kQuantTraitAttrName)) {
    return;
  }

  auto function_name = call_op

    return "quant-prepare-lifting";
  }

  StringRef getDescription() const final {
    // This is a brief description of the pass.
    return "Apply graph optimizations such as fusing and constant folding to "
           "prepare lifting.";
  }

  void getDependentDialects(DialectRegistry& registry) const override {
    registry.insert<TF::TensorFlowDialect, arith::ArithDialect>();
  }

        mlir::TFL::CreatePostQuantizePass(emit_quant_adaptor_ops));
  }
  pass_manager.addNestedPass<mlir::func::FuncOp>(
      mlir::TFL::CreateOptimizeOpOrderPass());
  // Add optimization pass after quantization for additional fusing
  // opportunities.

  if (!pass_config.unfold_batch_matmul) {
    // Enable an optimization pass that transforms FC to BatchMatmul only when
    // `unfold_batch_matmul=false`.