Exp#

Domain: ai.onnx
Since version: 13

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

Inputs

input (T): Input tensor

Outputs

output (T): The exponential 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_exp

Node:
  Exp(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=float32
    [[-2. , -1. ,  0. ],
     [ 0.5,  1. ,  2. ]]

Outputs:
  y: shape=(2, 3), dtype=float32
    [[0.13533528, 0.36787945, 1.        ],
     [1.6487212 , 2.7182817 , 7.389056  ]]

test_cc_exp_bfloat16

Node:
  Exp(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=bfloat16
    [[-2, -1, 0],
     [0.5, 1, 2]]

Outputs:
  y: shape=(2, 3), dtype=bfloat16
    [[0.135742, 0.367188, 1],
     [1.64844, 2.71875, 7.375]]

test_cc_exp_float16

Node:
  Exp(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=float16
    [[-2. , -1. ,  0. ],
     [ 0.5,  1. ,  2. ]]

Outputs:
  y: shape=(2, 3), dtype=float16
    [[0.1354, 0.368 , 1.    ],
     [1.648 , 2.719 , 7.39  ]]

test_exp

Node:
  Exp(x) -> (y)

Inputs:
  x: shape=(3, 4, 5), dtype=float32
    [[[ 1.4243481 , -0.61890423, -0.5907667 ,  1.4329695 ,  0.5837956 ],
      [-1.3854368 ,  1.2791865 ,  0.32735094,  0.6038593 ,  0.24222691],
      [-0.89236253, -1.1303798 , -0.09180629, -0.12591071, -1.2615176 ],
      [-0.55638343, -0.747256  , -0.59118223, -0.9279915 , -0.73401135]],

     [[ 1.1054384 , -0.69560546, -2.1534553 ,  0.11396561, -0.8268097 ],
      [ 1.2137318 , -0.22223468,  0.32949635, -0.21049212,  1.3518724 ],
      [ 0.01262847,  0.6841954 , -1.2623075 ,  0.20052178, -1.1255072 ],
      [-0.6395738 ,  1.5355366 , -1.1466801 , -0.42676184, -0.74427605]],

     [[-1.5989435 ,  2.3646672 , -1.0641551 ,  0.90345967, -0.24993172],
      [-1.784248  , -0.47239977,  0.09873669, -0.36464727,  0.6651279 ],
      [-1.01641   , -0.39525023,  0.45574856, -0.3439513 , -0.5487247 ],
      [ 0.06280329, -0.14411083, -1.1603392 ,  0.49200374, -0.16951095]]]

Outputs:
  y: shape=(3, 4, 5), dtype=float32
    [[[ 4.1551485 ,  0.5385342 ,  0.55390245,  4.191126  ,  1.7928305 ],
      [ 0.2502145 ,  3.593715  ,  1.3872882 ,  1.8291645 ,  1.2740833 ],
      [ 0.4096867 ,  0.3229106 ,  0.9122819 ,  0.88169354,  0.28322387],
      [ 0.5732786 ,  0.47366452,  0.5536723 ,  0.39534697,  0.47997975]],

     [[ 3.0205483 ,  0.49877238,  0.11608237,  1.1207136 ,  0.43744263],
      [ 3.3660223 ,  0.8007274 ,  1.3902677 ,  0.81018543,  3.864655  ],
      [ 1.0127085 ,  1.9821763 ,  0.28300023,  1.2220402 ,  0.32448784],
      [ 0.5275172 ,  4.643817  ,  0.31768972,  0.65261894,  0.4750781 ]],

     [[ 0.20210993, 10.640497  ,  0.34501925,  2.4681273 ,  0.77885395],
      [ 0.16792329,  0.6235042 ,  1.1037756 ,  0.69444156,  1.9447392 ],
      [ 0.3618918 ,  0.6735115 ,  1.5773537 ,  0.70896345,  0.5776861 ],
      [ 1.0648173 ,  0.8657918 ,  0.31337985,  1.6355902 ,  0.8440775 ]]]

test_exp_example

Node:
  Exp(x) -> (y)

Inputs:
  x: shape=(3,), dtype=float32
    [-1.,  0.,  1.]

Outputs:
  y: shape=(3,), dtype=float32
    [0.36787945, 1.        , 2.7182817 ]

Differences with previous version (6)#

SchemaDiff: Exp (domain 'ai.onnx')

old version: 6
new version: 13
breaking: no

Type constraints:

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

Exp#

Examples#

Differences with previous version (6)#

Version History#