}

// Type.commonType.kind
func decodetypeUsegcprog(arch *sys.Arch, p []byte) bool {
	return abi.Kind(p[2*arch.PtrSize+7])&abi.KindGCProg != 0 //  0x13 / 0x1f
}

// Type.commonType.size
func decodetypeSize(arch *sys.Arch, p []byte) int64 {
	return int64(decodeInuxi(arch, p, arch.PtrSize)) // 0x8 / 0x10
}

// Type.commonType.ptrdata
func decodetypePtrdata(arch *sys.Arch, p []byte) int64 {

echo ')'

# Run C program to print error and syscall strings.
(
	echo -E "
#include <stdio.h>
#include <stdlib.h>
#include <errno.h>
#include <ctype.h>
#include <string.h>
#include <signal.h>

#define nelem(x) (sizeof(x)/sizeof((x)[0]))

enum { A = 'A', Z = 'Z', a = 'a', z = 'z' }; // avoid need for single quotes below

int errors[] = {
"

			// Expand as needed.
		}

		return false
	})
}

// itabType loads the _type field from a runtime.itab struct.
func itabType(itab ir.Node) ir.Node {
	if itabTypeField == nil {
		// internal/abi.ITab's Type field
		itabTypeField = runtimeField("Type", rttype.ITab.OffsetOf("Type"), types.NewPtr(types.Types[types.TUINT8]))
	}
	return boundedDotPtr(base.Pos, itab, itabTypeField)
}

// a package against any previously loaded version of the package.
// This is done in plugin.lastmoduleinit.
type modulehash struct {
	modulename   string
	linktimehash string
	runtimehash  *string
}

// pinnedTypemaps are the map[typeOff]*_type from the moduledata objects.
//
// These typemap objects are allocated at run time on the heap, but the

      gtl::ArraySlice<AbstractTensorHandle*> output_gradients,
      absl::Span<AbstractTensorHandle*> result) const override;

  // Builds a tensor filled with ones with the same shape and dtype as `t`.
  Status BuildOnesLike(const TapeTensor& t,
                       AbstractTensorHandle** result) const override;

  // Looks up the ID of a Gradient.

  // Summarizes the value of this tensor. The caller takes ownership of the
  // returned buffer. If `status` is not TF_OK, instead returns a null pointer.
  //
  // Does not include the shape and dtype of the tensor (which is generally
  // appended later), but should include any information specific to this custom
  // device which would be useful for debugging.
  //

  handle_methods.deallocator = &ParallelTensorDeallocator;
  handle_methods.summarize = &ParallelTensorSummarize;
  return TensorHandlePtr(TFE_NewCustomDeviceTensorHandle(
      context, parallel_device_name.c_str(), t_released->dtype(), t_released,
      handle_methods, status));
}

// For TFE_CustomDevice::copy_tensor_to_device in the parallel device
// registration.
//
// Since this function is used to satisfy the TFE_CustomDevice C API,

	JALR	ZERO, T2
// Note: can't just "BR NAME(SB)" - bad inlining results.

// func call(stackArgsType *rtype, fn, stackArgs unsafe.Pointer, stackArgsSize, stackRetOffset, frameSize uint32, regArgs *abi.RegArgs).
TEXT reflect·call(SB), NOSPLIT, $0-0
	JMP	·reflectcall(SB)

// func call(stackArgsType *_type, fn, stackArgs unsafe.Pointer, stackArgsSize, stackRetOffset, frameSize uint32, regArgs *abi.RegArgs).

}

// CHECK-LABEL: func @tfConst
func.func @tfConst() -> (tensor<4xf32>, tensor<1x1x6x2xf32>) {

		} else {
			h = _INVALID_HANDLE_VALUE
			timeout = uintptr(us) / 1000 // ms units
		}
		stdcall2(_WaitForSingleObject, h, timeout)
	})
}

func ctrlHandler(_type uint32) uintptr {
	var s uint32

	switch _type {
	case _CTRL_C_EVENT, _CTRL_BREAK_EVENT:
		s = _SIGINT
	case _CTRL_CLOSE_EVENT, _CTRL_LOGOFF_EVENT, _CTRL_SHUTDOWN_EVENT:
		s = _SIGTERM
	default:
		return 0
	}