Log#

Domain: ai.onnx
Since version: 13

Computes the Log value of the input tensor element-wise.

Inputs

input (T): Input tensor

Outputs

output (T): The natural log of the input tensor computed element-wise

Type Constraints

T: Constrain input and output types to float tensors. Allowed types: tensor(bfloat16), tensor(double), tensor(float), tensor(float16).

Examples#

test_cc_log

Node:
  Log(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=float32
    [[ 0.1,  0.5,  1. ],
     [ 2. ,  4. , 10. ]]

Outputs:
  y: shape=(2, 3), dtype=float32
    [[-2.3025851, -0.6931472,  0.       ],
     [ 0.6931472,  1.3862944,  2.3025851]]

test_cc_log_bfloat16

Node:
  Log(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=bfloat16
    [[0.5, 1, 1.5],
     [2, 3, 4]]

Outputs:
  y: shape=(2, 3), dtype=bfloat16
    [[-0.691406, 0, 0.40625],
     [0.691406, 1.10156, 1.38281]]

test_cc_log_float16

Node:
  Log(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=float16
    [[0.5, 1. , 1.5],
     [2. , 3. , 4. ]]

Outputs:
  y: shape=(2, 3), dtype=float16
    [[-0.6934,  0.    ,  0.4055],
     [ 0.6934,  1.099 ,  1.387 ]]

test_log

Node:
  Log(x) -> (y)

Inputs:
  x: shape=(3, 4, 5), dtype=float32
    [[[0.5665626 , 0.7457828 , 0.9710038 , 0.44436023, 0.44426572],
      [0.7628954 , 0.8773497 , 0.5230682 , 0.2855097 , 0.79399765],
      [0.40414318, 0.60542136, 0.45493892, 0.53008   , 0.4359664 ],
      [0.16703598, 0.6453357 , 0.8153516 , 0.681706  , 0.88432556]],

     [[0.06596119, 0.08141565, 0.49588096, 0.12310988, 0.28691238],
      [0.04790218, 0.51552093, 0.7137718 , 0.04374927, 0.9977489 ],
      [0.5978532 , 0.58659613, 0.39717028, 0.43898773, 0.25327417],
      [0.5297584 , 0.5436718 , 0.74823636, 0.8180345 , 0.66857445]],

     [[0.8618293 , 0.70818025, 0.23636153, 0.6562365 , 0.86890996],
      [0.83933234, 0.32443425, 0.15918033, 0.89394003, 0.9126912 ],
      [0.3018573 , 0.13158594, 0.32568467, 0.94017494, 0.39366317],
      [0.08773183, 0.6070508 , 0.15547849, 0.95833313, 0.8756163 ]]]

Outputs:
  y: shape=(3, 4, 5), dtype=float32
    [[[-5.6816769e-01, -2.9332089e-01, -2.9424928e-02, -8.1111974e-01,
       -8.1133240e-01],
      [-2.7063435e-01, -1.3084964e-01, -6.4804345e-01, -1.2534792e+00,
       -2.3067479e-01],
      [-9.0598607e-01, -5.0183058e-01, -7.8759211e-01, -6.3472730e-01,
       -8.3019012e-01],
      [-1.7895460e+00, -4.3798468e-01, -2.0413584e-01, -3.8315678e-01,
       -1.2293000e-01]],

     [[-2.7186887e+00, -2.5081878e+00, -7.0141935e-01, -2.0946779e+00,
       -1.2485784e+00],
      [-3.0385942e+00, -6.6257739e-01, -3.3719194e-01, -3.1292803e+00,
       -2.2536262e-03],
      [-5.1441008e-01, -5.3341872e-01, -9.2339021e-01, -8.2328379e-01,
       -1.3732827e+00],
      [-6.3533425e-01, -6.0940957e-01, -2.9003635e-01, -2.0085073e-01,
       -4.0260753e-01]],

     [[-1.4869808e-01, -3.4505662e-01, -1.4423927e+00, -4.2123398e-01,
       -1.4051577e-01],
      [-1.7514853e-01, -1.1256723e+00, -1.8377175e+00, -1.1211658e-01,
       -9.1357708e-02],
      [-1.1978009e+00, -2.0280950e+00, -1.1218257e+00, -6.1689317e-02,
       -9.3225962e-01],
      [-2.4334705e+00, -4.9914283e-01, -1.8612479e+00, -4.2559821e-02,
       -1.3282728e-01]]]

test_log_example

Node:
  Log(x) -> (y)

Inputs:
  x: shape=(2,), dtype=float32
    [ 1., 10.]

Outputs:
  y: shape=(2,), dtype=float32
    [0.       , 2.3025851]

Differences with previous version (6)#

SchemaDiff: Log (domain 'ai.onnx')

old version: 6
new version: 13
breaking: no

Type constraints:

changed ‘T’: added types: [‘tensor(bfloat16)’]

Log#

Examples#

Differences with previous version (6)#

Version History#