Constant - version 13#

This page documents version 13 of operator Constant. See Constant for the latest version (since version 25).

  • Domain: ai.onnx

  • Since version: 13

This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value, or value* must be specified.

Outputs

  • output (T): Output tensor containing the same value of the provided tensor.

Type Constraints

  • T: Constrain input and output types to all tensor types. Allowed types: tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8).

Examples#

test_cc_constant

Node:
  Constant() -> (y)
  Attributes:
    value = <tensor>

Inputs:

Outputs:
  y: shape=(2, 3), dtype=float32
    [[-1.  ,  0.  ,  1.5 ],
     [-2.25,  3.5 , -4.75]]

test_constant

Node:
  Constant() -> (values)
  Attributes:
    value = <tensor>

Inputs:

Outputs:
  values: shape=(5, 5), dtype=float32
    [[ 1.7640524 ,  0.4001572 ,  0.978738  ,  2.2408931 ,  1.867558  ],
     [-0.9772779 ,  0.95008844, -0.1513572 , -0.10321885,  0.41059852],
     [ 0.14404356,  1.4542735 ,  0.7610377 ,  0.12167501,  0.44386324],
     [ 0.33367434,  1.4940791 , -0.20515826,  0.3130677 , -0.85409576],
     [-2.5529897 ,  0.6536186 ,  0.8644362 , -0.742165  ,  2.2697546 ]]

Differences with previous version (12)#

SchemaDiff: Constant (domain 'ai.onnx')

  • old version: 12

  • new version: 13

  • breaking: no

Type constraints:

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