Python _sigmoid_grad Examples

Example #1

File: math_grad.py Project: vmichals/tensorflow

def _SigmoidGrad(op, grad):
    """Returns grad * sigmoid(x) * (1 - sigmoid(x))."""
    y = op.outputs[0]  # y = sigmoid(x)
    with ops.control_dependencies([grad.op]):
        if y.dtype.is_complex:
            y = math_ops.conj(y)
        return gen_math_ops._sigmoid_grad(y, grad)

Example #2

File: math_grad.py Project: Hwhitetooth/tensorflow

def _SigmoidGradGrad(op, grad):
  with ops.control_dependencies([grad.op]):
    a = math_ops.conj(op.inputs[0])
    b = math_ops.conj(op.inputs[1])
    gb = grad * b
    # pylint: disable=protected-access
    return gb - 2.0 * gb * a, gen_math_ops._sigmoid_grad(a, grad)

Example #3

File: math_grad.py Project: Hwhitetooth/tensorflow

def _SigmoidGrad(op, grad):
  """Returns grad * sigmoid(x) * (1 - sigmoid(x))."""
  y = op.outputs[0]  # y = sigmoid(x)
  with ops.control_dependencies([grad.op]):
    y = math_ops.conj(y)
    # pylint: disable=protected-access
    return gen_math_ops._sigmoid_grad(y, grad)

Example #4

def _SigmoidGradGrad(op, grad):
    with ops.control_dependencies([grad]):
        a = math_ops.conj(op.inputs[0])
        b = math_ops.conj(op.inputs[1])
        gb = grad * b
        # pylint: disable=protected-access
        return gb - 2.0 * gb * a, gen_math_ops._sigmoid_grad(a, grad)

Example #5

def _SigmoidGrad(op, grad):
    """Returns grad * sigmoid(x) * (1 - sigmoid(x))."""
    y = op.outputs[0]  # y = sigmoid(x)
    with ops.control_dependencies([grad]):
        y = math_ops.conj(y)
        # pylint: disable=protected-access
        return gen_math_ops._sigmoid_grad(y, grad)

Example #6

File: math_grad.py Project: JamesFysh/tensorflow

def _SigmoidGrad(op, grad):
  """Returns grad * sigmoid(x) * (1 - sigmoid(x))."""
  y = op.outputs[0]  # y = sigmoid(x)
  with ops.control_dependencies([grad.op]):
    if y.dtype.is_complex:
      y = math_ops.conj(y)
    return gen_math_ops._sigmoid_grad(y, grad)