Python _relu_grad Examples

Example #1

def _ReluGradGrad(op, grad):
    x = op.inputs[1]
    return (gen_nn_ops._relu_grad(grad, x),
            array_ops.zeros(shape=array_ops.shape(x), dtype=x.dtype))

Example #2

File: tf_cnnvis.py Project: ray0809/tf_cnnvis

 def _GuidedReluGrad(op, grad):
     return tf.where(0. < grad,
                     gen_nn_ops._relu_grad(grad, op.outputs[0]),
                     tf.zeros_like(grad))

Example #3

File: nn_grad.py Project: Jackhuang945/tensorflow

def _ReluGradGrad(op, grad):
  x = op.inputs[1]
  return (gen_nn_ops._relu_grad(grad, x), array_ops.zeros(
      shape=array_ops.shape(x), dtype=x.dtype))

Example #4

def _ReluGrad(op, grad):
    return gen_nn_ops._relu_grad(grad, op.outputs[0])

Example #5

File: guided_grad.py Project: Robert-Xie/darkon

def _guided_grad_relu(op, grad):
    return guided_grad(gen_nn_ops._relu_grad(grad, op.outputs[0]))

Example #6

File: nn_grad.py Project: Jackhuang945/tensorflow

def _ReluGrad(op, grad):
  return gen_nn_ops._relu_grad(grad, op.outputs[0])

Example #7

def _ReluGrad(op, grad):
    t = _VerifyTensor(op.inputs[0], op.name, "ReluGrad input is not finite.")
    return gen_nn_ops._relu_grad(grad, t)

Example #8

File: modelrunner.py Project: Sabrewarrior/PhotoOrientation

 def _guided_relu_grad(op, grad):
     return tf.select(0. < grad, gen_nn_ops._relu_grad(grad, op.outputs[0]), tf.zeros(grad.get_shape()))

Example #9

def _leaky_relu_grad(op, grad):
	x = op.inputs[0]
	a = op.inputs[1]

	return tf.select(x < 0., gen_nn_ops._relu_grad(grad, x * a), gen_nn_ops._relu_grad(grad, x)), tf.zeros(tf.shape(a))

Example #10

File: GuideReLU.py Project: zbxzc35/Grad_CAM_plus_plus

def _GuidedReluGrad(op, grad):
    return tf.where(0. < grad, gen_nn_ops._relu_grad(grad, op.outputs[0]), tf.zeros_like(grad))

Example #11

File: util.py Project: yaroslavvb/stuff

def relu_mask(a, dtype=default_dtype):
  """Produces mask of 1s for positive values and 0s for negative values."""
  from tensorflow.python.ops import gen_nn_ops
  ones = tf.ones(a.get_shape(), dtype=dtype)
  return gen_nn_ops._relu_grad(ones, a)

Example #12

File: symbolic_functions.py Project: j50888/tensorpack

 def GuidedReluGrad(op, grad):
     return tf.where(0. < grad,
                     gen_nn_ops._relu_grad(grad, op.outputs[0]),
                     tf.zeros(grad.get_shape()))

Example #13

File: nn_grad.py Project: swapnilashtekar/tensorflow

def _ReluGrad(op, grad):
    t = _VerifyTensor(op.inputs[0], op.name, "ReluGrad input is not finite.")
    return gen_nn_ops._relu_grad(grad, t)

Example #14

def relu_mask(a, dtype=default_dtype):
    """Produces mask of 1s for positive values and 0s for negative values."""
    from tensorflow.python.ops import gen_nn_ops
    ones = tf.ones(a.get_shape(), dtype=dtype)
    return gen_nn_ops._relu_grad(ones, a)

Example #15

File: guided_grad.py Project: fossabot/sbubby

def _guided_grad_relu(op, grad):
    return guided_grad(gen_nn_ops._relu_grad(grad, op.outputs[0]))

Example #16

def _GuidedReluGrad(op, grad):
    return tf.where(0. < grad, gen_nn_ops._relu_grad(grad, op.outputs[0]),
                    tf.zeros(grad.get_shape()))

Example #17

def _GuidedReluGrad(op, grad):
    return tf.select(
        grad > 0.,
        gen_nn_ops._relu_grad(grad, op.outputs[0]),
        tf.zeros(grad.get_shape()))