Sign#

Domain: ai.onnx
Since version: 13

Calculate the sign of the given input tensor element-wise. If input > 0, output 1. if input < 0, output -1. if input == 0, output 0.

Inputs

input (T): Input tensor

Outputs

output (T): The sign of the input tensor computed element-wise. It has the same shape and type of the input.

Type Constraints

T: Constrain input and output types to all numeric tensors. Allowed types: tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8).

Examples#

test_cc_sign

Node:
  Sign(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=float32
    [[-2.5 , -1.  ,  0.  ],
     [ 0.5 ,  1.  ,  3.25]]

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

test_cc_sign_bfloat16

Node:
  Sign(x) -> (y)

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

Outputs:
  y: shape=(2, 3), dtype=bfloat16
    [[-1, -1, 0],
     [1, 1, -1]]

test_cc_sign_float16

Node:
  Sign(x) -> (y)

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

Outputs:
  y: shape=(2, 3), dtype=float16
    [[-1., -1.,  0.],
     [ 1.,  1., -1.]]

test_cc_sign_int16

Node:
  Sign(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=int16
    [[   -1,     0,     2],
     [-1000,     3,    -5]]

Outputs:
  y: shape=(2, 3), dtype=int16
    [[-1,  0,  1],
     [-1,  1, -1]]

test_cc_sign_int32

Node:
  Sign(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=int32
    [[     -1,       0,       2],
     [-100000,       3,      -5]]

Outputs:
  y: shape=(2, 3), dtype=int32
    [[-1,  0,  1],
     [-1,  1, -1]]

test_cc_sign_int64

Node:
  Sign(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=int64
    [[            -1,              0,              2],
     [-1000000000000,              3,             -5]]

Outputs:
  y: shape=(2, 3), dtype=int64
    [[-1,  0,  1],
     [-1,  1, -1]]

test_cc_sign_int8

Node:
  Sign(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=int8
    [[  -1,    0,    2],
     [-127,    3,   -5]]

Outputs:
  y: shape=(2, 3), dtype=int8
    [[-1,  0,  1],
     [-1,  1, -1]]

test_cc_sign_uint16

Node:
  Sign(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=uint16
    [[    0,     1,  1000],
     [    0,     5, 65535]]

Outputs:
  y: shape=(2, 3), dtype=uint16
    [[0, 1, 1],
     [0, 1, 1]]

test_cc_sign_uint32

Node:
  Sign(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=uint32
    [[         0,          1,    1000000],
     [         0,          5, 4294967295]]

Outputs:
  y: shape=(2, 3), dtype=uint32
    [[0, 1, 1],
     [0, 1, 1]]

test_cc_sign_uint64

Node:
  Sign(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=uint64
    [[                   0,                    1,        1000000000000],
     [                   0,                    5, 18446744073709551615]]

Outputs:
  y: shape=(2, 3), dtype=uint64
    [[0, 1, 1],
     [0, 1, 1]]

test_cc_sign_uint8

Node:
  Sign(x) -> (y)

Inputs:
  x: shape=(2, 3), dtype=uint8
    [[  0,   1,   2],
     [  0,   5, 255]]

Outputs:
  y: shape=(2, 3), dtype=uint8
    [[0, 1, 1],
     [0, 1, 1]]

test_sign

Node:
  Sign(x) -> (y)

Inputs:
  x: shape=(11,), dtype=float32
    [-5., -4., -3., -2., -1.,  0.,  1.,  2.,  3.,  4.,  5.]

Outputs:
  y: shape=(11,), dtype=float32
    [-1., -1., -1., -1., -1.,  0.,  1.,  1.,  1.,  1.,  1.]

Differences with previous version (9)#

SchemaDiff: Sign (domain 'ai.onnx')

old version: 9
new version: 13
breaking: no

Type constraints:

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

Version History#

Version 9