TanhBackprop
TanhBackprop#
Versioned name: TanhBackprop-1
Category: Activation
Short description: TanhBackprop computes gradient for Tanh
Attributes:
use_dst
Description: If true, use dst to calculate gradient; else use src.
Range of values: True or False
Type: bool
Default value: True
Required: no
Inputs:
1:
result_forward
/input_forward
- if use_dst is true,result_forward
is used, elseinput_forward
is used. Required.Type: T
2:
output_delta
- the gradient tensor with respect to the output. Required.Type: T
Outputs
1:
input_delta
- the gradient tensor with respect to the input of Tanh.Type: T
Types:
T: f32, f16, bf16.
Note: Inputs and outputs have the same data type denoted by T. For example, if input is f32 tensor, then all other tensors have f32 data type.