b = math_ops.conj(op.inputs[1])
  grad_a = gen_math_ops.mat_mul(grad, b)
  grad_b = gen_math_ops.mat_mul(grad, a, transpose_a=True)
  return [grad_a, grad_b, bias_grad]


@Composite(
    'NewMaxPool',
    inputs=['input_: T'],
    attrs=[
        'stride_w: int', 'stride_h: int', 'filter_width: int',
        'filter_height: int', 'padding: {"SAME", "VALID"}'
    ],
    derived_attrs=['T: {float, int8}'],