Size

Size - 24

Version

  • name: Size (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

Takes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor.

Inputs

  • data (heterogeneous) - T:

    An input tensor.

Outputs

  • size (heterogeneous) - T1:

    Total number of elements of the input 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) ):

    Input tensor can be of arbitrary type.

  • T1 in ( tensor(int64) ):

    Constrain output to int64 tensor, which should be a scalar though.

Size - 23

Version

  • name: Size (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

Takes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor.

Inputs

  • data (heterogeneous) - T:

    An input tensor.

Outputs

  • size (heterogeneous) - T1:

    Total number of elements of the input 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) ):

    Input tensor can be of arbitrary type.

  • T1 in ( tensor(int64) ):

    Constrain output to int64 tensor, which should be a scalar though.

Size - 21

Version

  • name: Size (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

Takes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor.

Inputs

  • data (heterogeneous) - T:

    An input tensor.

Outputs

  • size (heterogeneous) - T1:

    Total number of elements of the input 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) ):

    Input tensor can be of arbitrary type.

  • T1 in ( tensor(int64) ):

    Constrain output to int64 tensor, which should be a scalar though.

Size - 19

Version

  • name: Size (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

Takes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor.

Inputs

  • data (heterogeneous) - T:

    An input tensor.

Outputs

  • size (heterogeneous) - T1:

    Total number of elements of the input 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) ):

    Input tensor can be of arbitrary type.

  • T1 in ( tensor(int64) ):

    Constrain output to int64 tensor, which should be a scalar though.

Size - 13

Version

  • name: Size (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

Takes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor.

Inputs

  • data (heterogeneous) - T:

    An input tensor.

Outputs

  • size (heterogeneous) - T1:

    Total number of elements of the input 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) ):

    Input tensor can be of arbitrary type.

  • T1 in ( tensor(int64) ):

    Constrain output to int64 tensor, which should be a scalar though.

Size - 1

Version

  • name: Size (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

Takes a tensor as input and outputs a int64 scalar that equals to the total number of elements of the input tensor.

Inputs

  • data (heterogeneous) - T:

    An input tensor.

Outputs

  • size (heterogeneous) - T1:

    Total number of elements of the input 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) ):

    Input tensor can be of arbitrary type.

  • T1 in ( tensor(int64) ):

    Constrain output to int64 tensor, which should be a scalar though.