def _InvGradGrad(op, grad):
b = op.inputs[1]
# op.output[0]: y = -b * conj(a)^2
with ops.control_dependencies([grad.op]):
ca = math_ops.conj(op.inputs[0])
cg = math_ops.conj(grad)
# pylint: disable=protected-access
return cg * -2.0 * b * ca, gen_math_ops._inv_grad(ca, grad)
def _InvGradGrad(op, grad):
b = op.inputs[1]
# op.output[0]: y = -b * conj(a)^2
with ops.control_dependencies([grad.op]):
ca = math_ops.conj(op.inputs[0])
cg = math_ops.conj(grad)
# pylint: disable=protected-access
return cg * -2.0 * b * ca, gen_math_ops._inv_grad(ca, grad)
def _InvGrad(op, grad): """Returns -grad * (1 / x^2).""" y = op.outputs[0] # y = 1 / x # pylint: disable=protected-access return gen_math_ops._inv_grad(y, grad)
def _InvGrad(op, grad):
"""Returns -grad * (1 / x^2)."""
y = op.outputs[0] # y = 1 / x
# pylint: disable=protected-access
return gen_math_ops._inv_grad(y, grad)
def _InvGrad(op, grad):
"""Returns -grad * (1 / x^2)."""
y = op.outputs[0] # y = 1 / x
return gen_math_ops._inv_grad(y, grad)
def _InvGrad(op, grad):
"""Returns -grad * (1 / x^2)."""
y = op.outputs[0] # y = 1 / x
return gen_math_ops._inv_grad(y, grad)
