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)
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)
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)
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)
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)
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)
