Constant

Constant - 25

Version

  • name: Constant (GitHub)

  • domain: main

  • since_version: 25

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 25.

Summary

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

Attributes

  • sparse_value - SPARSE_TENSOR :

    The value for the elements of the output tensor in sparse format.

  • value - TENSOR :

    The value for the elements of the output tensor.

  • value_float - FLOAT :

    The value for the sole element for the scalar, float32, output tensor.

  • value_floats - FLOATS :

    The values for the elements for the 1D, float32, output tensor.

  • value_int - INT :

    The value for the sole element for the scalar, int64, output tensor.

  • value_ints - INTS :

    The values for the elements for the 1D, int64, output tensor.

  • value_string - STRING :

    The value for the sole element for the scalar, UTF-8 string, output tensor.

  • value_strings - STRINGS :

    The values for the elements for the 1D, UTF-8 string, output tensor.

Outputs

  • output (heterogeneous) - T:

    Output tensor containing the same value of the provided tensor.

Type Constraints

  • T in ( tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(float8e8m0), tensor(int16), tensor(int2), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint2), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) ):

    Constrain input and output types to all tensor types.

Constant - 24

Version

  • name: Constant (GitHub)

  • domain: main

  • since_version: 24

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 24.

Summary

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

Attributes

  • sparse_value - SPARSE_TENSOR :

    The value for the elements of the output tensor in sparse format.

  • value - TENSOR :

    The value for the elements of the output tensor.

  • value_float - FLOAT :

    The value for the sole element for the scalar, float32, output tensor.

  • value_floats - FLOATS :

    The values for the elements for the 1D, float32, output tensor.

  • value_int - INT :

    The value for the sole element for the scalar, int64, output tensor.

  • value_ints - INTS :

    The values for the elements for the 1D, int64, output tensor.

  • value_string - STRING :

    The value for the sole element for the scalar, UTF-8 string, output tensor.

  • value_strings - STRINGS :

    The values for the elements for the 1D, UTF-8 string, output tensor.

Outputs

  • output (heterogeneous) - T:

    Output tensor containing the same value of the provided tensor.

Type Constraints

  • T in ( tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(float8e8m0), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) ):

    Constrain input and output types to all tensor types.

Constant - 23

Version

  • name: Constant (GitHub)

  • domain: main

  • since_version: 23

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 23.

Summary

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

Attributes

  • sparse_value - SPARSE_TENSOR :

    The value for the elements of the output tensor in sparse format.

  • value - TENSOR :

    The value for the elements of the output tensor.

  • value_float - FLOAT :

    The value for the sole element for the scalar, float32, output tensor.

  • value_floats - FLOATS :

    The values for the elements for the 1D, float32, output tensor.

  • value_int - INT :

    The value for the sole element for the scalar, int64, output tensor.

  • value_ints - INTS :

    The values for the elements for the 1D, int64, output tensor.

  • value_string - STRING :

    The value for the sole element for the scalar, UTF-8 string, output tensor.

  • value_strings - STRINGS :

    The values for the elements for the 1D, UTF-8 string, output tensor.

Outputs

  • output (heterogeneous) - T:

    Output tensor containing the same value of the provided tensor.

Type Constraints

  • T in ( tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) ):

    Constrain input and output types to all tensor types.

Constant - 21

Version

  • name: Constant (GitHub)

  • domain: main

  • since_version: 21

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 21.

Summary

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

Attributes

  • sparse_value - SPARSE_TENSOR :

    The value for the elements of the output tensor in sparse format.

  • value - TENSOR :

    The value for the elements of the output tensor.

  • value_float - FLOAT :

    The value for the sole element for the scalar, float32, output tensor.

  • value_floats - FLOATS :

    The values for the elements for the 1D, float32, output tensor.

  • value_int - INT :

    The value for the sole element for the scalar, int64, output tensor.

  • value_ints - INTS :

    The values for the elements for the 1D, int64, output tensor.

  • value_string - STRING :

    The value for the sole element for the scalar, UTF-8 string, output tensor.

  • value_strings - STRINGS :

    The values for the elements for the 1D, UTF-8 string, output tensor.

Outputs

  • output (heterogeneous) - T:

    Output tensor containing the same value of the provided tensor.

Type Constraints

  • T in ( tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) ):

    Constrain input and output types to all tensor types.

Constant - 19

Version

  • name: Constant (GitHub)

  • domain: main

  • since_version: 19

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 19.

Summary

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

Attributes

  • sparse_value - SPARSE_TENSOR :

    The value for the elements of the output tensor in sparse format.

  • value - TENSOR :

    The value for the elements of the output tensor.

  • value_float - FLOAT :

    The value for the sole element for the scalar, float32, output tensor.

  • value_floats - FLOATS :

    The values for the elements for the 1D, float32, output tensor.

  • value_int - INT :

    The value for the sole element for the scalar, int64, output tensor.

  • value_ints - INTS :

    The values for the elements for the 1D, int64, output tensor.

  • value_string - STRING :

    The value for the sole element for the scalar, UTF-8 string, output tensor.

  • value_strings - STRINGS :

    The values for the elements for the 1D, UTF-8 string, output tensor.

Outputs

  • output (heterogeneous) - T:

    Output tensor containing the same value of the provided tensor.

Type Constraints

  • T in ( tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):

    Constrain input and output types to all tensor types.

Constant - 13

Version

  • name: Constant (GitHub)

  • domain: main

  • since_version: 13

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 13.

Summary

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

Attributes

  • sparse_value - SPARSE_TENSOR :

    The value for the elements of the output tensor in sparse format.

  • value - TENSOR :

    The value for the elements of the output tensor.

  • value_float - FLOAT :

    The value for the sole element for the scalar, float32, output tensor.

  • value_floats - FLOATS :

    The values for the elements for the 1D, float32, output tensor.

  • value_int - INT :

    The value for the sole element for the scalar, int64, output tensor.

  • value_ints - INTS :

    The values for the elements for the 1D, int64, output tensor.

  • value_string - STRING :

    The value for the sole element for the scalar, UTF-8 string, output tensor.

  • value_strings - STRINGS :

    The values for the elements for the 1D, UTF-8 string, output tensor.

Outputs

  • output (heterogeneous) - T:

    Output tensor containing the same value of the provided tensor.

Type Constraints

  • T in ( 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) ):

    Constrain input and output types to all tensor types.

Constant - 12

Version

  • name: Constant (GitHub)

  • domain: main

  • since_version: 12

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 12.

Summary

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

Attributes

  • sparse_value - SPARSE_TENSOR :

    The value for the elements of the output tensor in sparse format.

  • value - TENSOR :

    The value for the elements of the output tensor.

  • value_float - FLOAT :

    The value for the sole element for the scalar, float32, output tensor.

  • value_floats - FLOATS :

    The values for the elements for the 1D, float32, output tensor.

  • value_int - INT :

    The value for the sole element for the scalar, int64, output tensor.

  • value_ints - INTS :

    The values for the elements for the 1D, int64, output tensor.

  • value_string - STRING :

    The value for the sole element for the scalar, UTF-8 string, output tensor.

  • value_strings - STRINGS :

    The values for the elements for the 1D, UTF-8 string, output tensor.

Outputs

  • output (heterogeneous) - T:

    Output tensor containing the same value of the provided tensor.

Type Constraints

  • T in ( 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) ):

    Constrain input and output types to all tensor types.

Constant - 11

Version

  • name: Constant (GitHub)

  • domain: main

  • since_version: 11

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 11.

Summary

A constant tensor. Exactly one of the two attributes, either value or sparse_value, must be specified.

Attributes

  • sparse_value - SPARSE_TENSOR :

    The value for the elements of the output tensor in sparse format.

  • value - TENSOR :

    The value for the elements of the output tensor.

Outputs

  • output (heterogeneous) - T:

    Output tensor containing the same value of the provided tensor.

Type Constraints

  • T in ( 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) ):

    Constrain input and output types to all tensor types.

Constant - 9

Version

  • name: Constant (GitHub)

  • domain: main

  • since_version: 9

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 9.

Summary

A constant tensor.

Attributes

  • value - TENSOR (required) :

    The value for the elements of the output tensor.

Outputs

  • output (heterogeneous) - T:

    Output tensor containing the same value of the provided tensor.

Type Constraints

  • T in ( 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) ):

    Constrain input and output types to all tensor types.

Constant - 1

Version

  • name: Constant (GitHub)

  • domain: main

  • since_version: 1

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 1.

Summary

A constant tensor.

Attributes

  • value - TENSOR (required) :

    The value for the elements of the output tensor.

Outputs

  • output (heterogeneous) - T:

    Output tensor containing the same value of the provided tensor.

Type Constraints

  • T in ( tensor(double), tensor(float), tensor(float16) ):

    Constrain input and output types to float tensors.