# Abs¶

## Abs - 13¶

### Version¶

• name: Abs (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¶

Absolute takes one input data (Tensor) and produces one output data (Tensor) where absolute value, y = abs(x), is applied to the tensor elementwise.

### Inputs¶

• X (heterogeneous) - T:

Input tensor

### Outputs¶

• Y (heterogeneous) - T:

Output tensor

### Type Constraints¶

• T in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):

Constrain input and output types to all numeric tensors.

## Abs - 6¶

### Version¶

• name: Abs (GitHub)

• domain: main

• since_version: 6

• function: False

• support_level: SupportType.COMMON

• shape inference: True

This version of the operator has been available since version 6.

### Summary¶

Absolute takes one input data (Tensor) and produces one output data (Tensor) where the absolute is, y = abs(x), is applied to the tensor elementwise.

### Inputs¶

• X (heterogeneous) - T:

Input tensor

### Outputs¶

• Y (heterogeneous) - T:

Output tensor

### Type Constraints¶

• T in ( tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):

Constrain input and output types to all numeric tensors.

## Abs - 1¶

### Version¶

• name: Abs (GitHub)

• domain: main

• since_version: 1

• function: False

• support_level: SupportType.COMMON

• shape inference: False

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

### Summary¶

Absolute takes one input data (Tensor) and produces one output data (Tensor) where the absolute is, y = abs(x), is applied to the tensor elementwise.

### Attributes¶

• consumed_inputs - INTS :

legacy optimization attribute.

### Inputs¶

• X (heterogeneous) - T:

Input tensor

### Outputs¶

• Y (heterogeneous) - T:

Output tensor

### Type Constraints¶

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

Constrain input and output types to float tensors.