Computes rectified linear gradients for a Relu operation.
tf.raw_ops.ReluGrad(
gradients, features, name=None
)
gradients
|
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64.
The backpropagated gradients to the corresponding Relu operation.
|
features
|
A Tensor. Must have the same type as gradients.
The features passed as input to the corresponding Relu operation, OR
the outputs of that operation (both work equivalently).
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as gradients.
|
