Documentation

Log

Input

x:
  • Required: yes
  • Type: float16, float32
  • Description: computes natural logarithm of x element-wise.

    if base>0: y = log_base(shift + scale * x)

    if base == -1: y = log_e(shift + scale * x)

    The TensorFlow and Caffe prototypes are different. Therefore, the prototype needs to be redefined.

  • Restriction: Must be of type float16.

Attribute

  • base:
    • Required: no
    • Type: float
    • Description: default = –1.0
    • Restriction: Must be –1 or greater than 0.
  • scale:
    • Required: no
    • Type: float
    • Description: default = 1.0
    • Restrictions: none
  • shift:
    • Required: no
    • Type: float
    • Description: default = 0.0
    • Restrictions: none

Output

y:
  • Required: yes
  • Type: float16, float32
  • Description: computes natural logarithm of x element-wise.

    if base>0: y = log_base(shift + scale * x)

    if base == -1: y = log_e(shift + scale * x)

    The TensorFlow and Caffe prototypes are different. Therefore, the prototype needs to be redefined.

  • Restriction: Must be of type float16.