// This is a regression test for issue 14599, where profiling fails when the
// function is the first C function. Exported functions are the first C
// functions, so we use an exported function. Exported functions are created in
// lexicographical order of source files, so this file is named aprof.go to
// ensure its function is first.

// extern void CallGoNop();
import "C"

import (
	"bytes"
	"fmt"

bool HasTPUPartitionedCallOpInModule(mlir::ModuleOp module);

// Check if a graph contains TPUPartitionedCall op, including its reachable
// functions. The function library is used to store the functions that are
// defined in a TensorFlow program
bool IsInferenceGraph(const Graph& graph,
                      const FunctionLibraryDefinition* function_library);
}  // namespace tensorflow

 *  <li>as a custom class that implements both encoding and decoding protocols in the same class
 *  <li>based on the combination of arbitrary encoder and decoder functions, as done via {@link org.gradle.internal.serialize.graph.CombinatorsKt#codec(kotlin.jvm.functions.Function3, kotlin.jvm.functions.Function2) codec(...)}

// 'group_attribute', splits those subgraphs into functions, and replaces
// the originals with function calls.
//
// 'group_attribute' must be a string valued-attribute that names the new
// functions to introduce.
//
// If 'rewrite_subgraph_fn' is set, it is applied to each subgraph before
// function conversion.
//
// If 'reuse_existing_functions' is set, use an existing function with the
// same name, if any.
//

// NewSliceOfSlice is not a factory function because slices of a slice of
// type *T are not factory functions of type T.
func NewSliceOfSlice() [][]T { return []T{[]T{}} }

// NewPointerSliceOfSlice is not a factory function because slices of a
// slice of type *T are not factory functions of type T.
func NewPointerSliceOfSlice() [][]*T { return []*T{[]*T{}} }

// NewSlice3 is not a factory function because 3 nested slices of type T

                           std::vector<Output>* grad_outputs);

/// GradOpRegistry maintains a static registry of gradient functions.
/// Gradient functions are indexed in the registry by the forward op name (i.e.
/// "MatMul" -> MatMulGrad func).
class GradOpRegistry {
 public:
  /// Registers 'func' as the gradient function for 'op'.
  /// Returns true if registration was successful, check fails otherwise.

    checkArgument(!list.isEmpty(), "number of hash functions (%s) must be > 0", list.size());
    return new ConcatenatedHashFunction(list.toArray(new HashFunction[0]));
  }

  private static final class ConcatenatedHashFunction extends AbstractCompositeHashFunction {

    private ConcatenatedHashFunction(HashFunction... functions) {
      super(functions);
      for (HashFunction function : functions) {
        checkArgument(

  }
  return bytecode;
}

// Serializes the stablehlo functions called by XlaCallModuleOp to bytecode
// and embeds the bytecode in XlaCallModuleOp's `module` attribute.
//
// The stablehlo functions include the function referred by XlaCallModuleOp's
// `_entry_function` attribute, and any stablehlo functions called transitively
// from the entry function.
LogicalResult SerializeXlaCallModule(SymbolTableCollection& symbol_table,

// RUN: tf-quant-opt %s -mark-functions-noinline='noinline-functions=noinline0' \
// RUN:     -allow-unregistered-dialect -mlir-disable-threading \
// RUN:     -split-input-file -verify-diagnostics | FileCheck %s

// Tests that the function is marked tf._noinline = true.

// CHECK-LABEL: @noinline0
// CHECK-SAME: attributes {{{.*tf._noinline = true.*}}}
func.func @noinline0() -> (tensor<0xf32>) {

// Do not insert instructions to allocate a stack frame for this function.
// Only valid on functions that declare a frame size of 0.
#define NOFRAME 512
// Function can call reflect.Type.Method or reflect.Type.MethodByName.
#define REFLECTMETHOD 1024
// Function is the outermost frame of the call stack. Call stack unwinders
// should stop at this function.
#define TOPFRAME 2048
// Function is an ABI wrapper.