//go:noescape
func Cas64(ptr *uint64, old, new uint64) bool

//go:noescape
func CasRel(ptr *uint32, old, new uint32) bool

//go:noescape
func Store(ptr *uint32, val uint32)

//go:noescape
func Store8(ptr *uint8, val uint8)

//go:noescape
func Store64(ptr *uint64, val uint64)

// NO go:noescape annotation; see atomic_pointer.go.
func StorepNoWB(ptr unsafe.Pointer, val unsafe.Pointer)

//go:noinline
func LoadAcq64(ptr *uint64) uint64 {
	return *ptr
}

//go:nosplit
//go:noinline
func LoadAcquintptr(ptr *uintptr) uintptr {
	return *ptr
}

//go:noescape
func Store(ptr *uint32, val uint32)

//go:noescape
func Store8(ptr *uint8, val uint8)

//go:noescape
func Store64(ptr *uint64, val uint64)

// NO go:noescape annotation; see atomic_pointer.go.
func StorepNoWB(ptr unsafe.Pointer, val unsafe.Pointer)

//go:noescape
func Cas64(ptr *uint64, old, new uint64) bool

//go:noescape
func CasRel(ptr *uint32, old, new uint32) bool

//go:noescape
func Store(ptr *uint32, val uint32)

//go:noescape
func Store8(ptr *uint8, val uint8)

//go:noescape
func Store64(ptr *uint64, val uint64)

//go:noescape
func StoreRel(ptr *uint32, val uint32)

//go:noescape

				valn("store", i-1, 4)),
			Valu(valn("store", i, 1), OpStore, types.TypeMem, 0, elemType, valn("addr", i, 1),
				valn("v", i, 0), valn("zero", i, 1)),
			Valu(valn("store", i, 2), OpStore, types.TypeMem, 0, elemType, valn("addr", i, 2),
				valn("v", i, 0), valn("store", i, 1)),
			Valu(valn("store", i, 3), OpStore, types.TypeMem, 0, elemType, valn("addr", i, 1),

TEXT ·Load64(SB),NOSPLIT|NOFRAME,$0-16
	MOV	ptr+0(FP), A0
	LRD	(A0), A0
	MOV	A0, ret+8(FP)
	RET

// func Store(ptr *uint32, val uint32)
TEXT ·Store(SB), NOSPLIT, $0-12
	MOV	ptr+0(FP), A0
	MOVW	val+8(FP), A1
	AMOSWAPW A1, (A0), ZERO
	RET

// func Store8(ptr *uint8, val uint8)
TEXT ·Store8(SB), NOSPLIT, $0-9
	MOV	ptr+0(FP), A0
	MOVBU	val+8(FP), A1
	FENCE
	MOVB	A1, (A0)
	FENCE
	RET

limitations under the License.
==============================================================================*/

#include "tensorflow/cc/experimental/base/public/tensor.h"

#include <stddef.h>
#include <stdint.h>

#include "tensorflow/c/tf_datatype.h"
#include "tensorflow/cc/experimental/base/tests/tensor_types_test_util.h"
#include "tensorflow/core/lib/gtl/array_slice.h"

==============================================================================*/

// Dumps a TFLite flatbuffer to a textual output format.
// This tool is intended to be used to simplify unit testing/debugging.

#include <stddef.h>
#include <stdint.h>

#include <fstream>
#include <iostream>
#include <string>

#include "flatbuffers/flatbuffers.h"  // from @flatbuffers
#include "flatbuffers/minireflect.h"  // from @flatbuffers

// info holds case information for a single rune. It is the value returned
// by a trie lookup. Most mapping information can be stored in a single 16-bit
// value. If not, for example when a rune is mapped to multiple runes, the value
// stores some basic case data and an index into an array with additional data.
//
// The per-rune values have the following format:
//
//	if (exception) {

* (Optionally) use `PATCH` instead of `PUT`.
* Retrieve the stored data.
* Put that data in a Pydantic model.
* Generate a `dict` without default values from the input model (using `exclude_unset`).
    * This way you can update only the values actually set by the user, instead of overriding values already stored with default values in your model.

//go:noescape
func Xadd64(addr *uint64, delta int64) uint64

//go:noescape
func Xchg64(addr *uint64, v uint64) uint64

//go:noescape
func Load64(addr *uint64) uint64

//go:noescape
func Store8(addr *uint8, v uint8)

//go:noescape