{"(AX)(CX*8)", "(AX)(CX*8)"},
	{"(BP)(CX*4)", "(BP)(CX*4)"},
	{"(BP)(DX*4)", "(BP)(DX*4)"},
	{"(BP)(R8*4)", "(BP)(R8*4)"},
	{"(BX)", "(BX)"},
	{"(DI)", "(DI)"},
	{"(DI)(BX*1)", "(DI)(BX*1)"},
	{"(DX)", "(DX)"},
	{"(R9)", "(R9)"},
	{"(R9)(BX*8)", "(R9)(BX*8)"},
	{"(SI)", "(SI)"},
	{"(SI)(BX*1)", "(SI)(BX*1)"},
	{"(SI)(DX*1)", "(SI)(DX*1)"},
	{"(SP)", "(SP)"},
	{"(SP)(AX*4)", "(SP)(AX*4)"},

	R14B: "R14",
	R15B: "R15",
	AX:   "AX",
	CX:   "CX",
	BX:   "BX",
	DX:   "DX",
	SP:   "SP",
	BP:   "BP",
	SI:   "SI",
	DI:   "DI",
	R8W:  "R8",
	R9W:  "R9",
	R10W: "R10",
	R11W: "R11",
	R12W: "R12",
	R13W: "R13",
	R14W: "R14",
	R15W: "R15",
	EAX:  "AX",
	ECX:  "CX",
	EDX:  "DX",
	EBX:  "BX",
	ESP:  "SP",
	EBP:  "BP",
	ESI:  "SI",
	EDI:  "DI",

		gp11div   = regInfo{inputs: []regMask{ax, gpsp &^ dx}, outputs: []regMask{ax}, clobbers: dx}
		gp21hmul  = regInfo{inputs: []regMask{ax, gpsp}, outputs: []regMask{dx}, clobbers: ax}
		gp11mod   = regInfo{inputs: []regMask{ax, gpsp &^ dx}, outputs: []regMask{dx}, clobbers: ax}
		gp21mul   = regInfo{inputs: []regMask{ax, gpsp}, outputs: []regMask{dx, ax}}

		gp2flags     = regInfo{inputs: []regMask{gpsp, gpsp}}

// A brief recap of the amd64 calling convention.
// Arguments are passed in DI, SI, DX, CX, R8, R9, the rest is on stack.
// Callee-saved registers are: BX, BP, R12-R15.
// SP must be 16-byte aligned.
// On Windows:
// Arguments are passed in CX, DX, R8, R9, the rest is on stack.
// Callee-saved registers are: BX, BP, DI, SI, R12-R15.

	}
	_, e.err = e.w.Write(b)
	if e.err != nil {
		return
	}
	_, e.err = e.w.Write(e.footer[:4])
}

func (e *encoder) writeIHDR() {
	b := e.m.Bounds()
	binary.BigEndian.PutUint32(e.tmp[0:4], uint32(b.Dx()))
	binary.BigEndian.PutUint32(e.tmp[4:8], uint32(b.Dy()))
	// Set bit depth and color type.
	switch e.cb {
	case cbG8:
		e.tmp[8] = 8
		e.tmp[9] = ctGrayscale
	case cbTC8:
		e.tmp[8] = 8

     *
     *    dX = U / Y
     *    dY = -U*X / Y^2 = (X/Y) * -U / Y = -U*Z / Y
     *
     */

    AbstractTensorHandle* upstream_grad = grad_outputs[0];
    AbstractTensorHandle* Y = forward_inputs_[1];
    AbstractTensorHandle* Z = forward_outputs_[0];

    // Calculate dX =  U / Y
    std::string name = "Div_Grad_X";
    TF_RETURN_IF_ERROR(

	for i, p := range points {
		var XX, YY, ZZ, ZZZZ field.Element
		XX.Square(&p.x)
		YY.Square(&p.y)
		ZZ.Square(&p.z)
		ZZZZ.Square(&ZZ)
		// -x² + y² = 1 + dx²y²
		// -(X/Z)² + (Y/Z)² = 1 + d(X/Z)²(Y/Z)²
		// (-X² + Y²)/Z² = 1 + (dX²Y²)/Z⁴
		// (-X² + Y²)*Z² = Z⁴ + dX²Y²
		var lhs, rhs field.Element
		lhs.Subtract(&YY, &XX).Multiply(&lhs, &ZZ)
		rhs.Multiply(d, &XX).Multiply(&rhs, &YY).Add(&rhs, &ZZZZ)
		if lhs.Equal(&rhs) != 1 {

	Min, Max Point
}

// String returns a string representation of r like "(3,4)-(6,5)".
func (r Rectangle) String() string {
	return r.Min.String() + "-" + r.Max.String()
}

// Dx returns r's width.
func (r Rectangle) Dx() int {
	return r.Max.X - r.Min.X
}

// Dy returns r's height.
func (r Rectangle) Dy() int {
	return r.Max.Y - r.Min.Y
}

// Size returns r's width and height.

move_5through8:
	MOVL	(SI), AX
	MOVL	-4(SI)(BX*1), CX
	MOVL	AX, (DI)
	MOVL	CX, -4(DI)(BX*1)
	RET
move_9through16:
	MOVL	(SI), AX
	MOVL	4(SI), CX
	MOVL	-8(SI)(BX*1), DX
	MOVL	-4(SI)(BX*1), BP
	MOVL	AX, (DI)
	MOVL	CX, 4(DI)
	MOVL	DX, -8(DI)(BX*1)
	MOVL	BP, -4(DI)(BX*1)

    touchid = null;
    touchid2 = null;
  }

  function panStart(x, y) {
    moved = false;
    panLastX = x;
    panLastY = y;
  }

  function panMove(x, y) {
    let dx = x - panLastX;
    let dy = y - panLastY;
    if (Math.abs(dx) <= 2 && Math.abs(dy) <= 2) return; // Ignore tiny moves

    moved = true;
    panLastX = x;
    panLastY = y;

    // Firefox workaround: get dimensions from parentNode.