# Sqrt¶

## Sqrt - 13¶

### Version¶

• name: Sqrt (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¶

Square root takes one input data (Tensor) and produces one output data (Tensor) where the square root is, y = x^0.5, is applied to the tensor elementwise. If x is negative, then it will return NaN.

### Inputs¶

• X (heterogeneous) - T:

Input tensor

### Outputs¶

• Y (heterogeneous) - T:

Output tensor

### Type Constraints¶

• T in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16) ):

Constrain input and output types to float tensors.

## Sqrt - 6¶

### Version¶

• name: Sqrt (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¶

Square root takes one input data (Tensor) and produces one output data (Tensor) where the square root is, y = x^0.5, is applied to the tensor elementwise. If x is negative, then it will return NaN.

### 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.

## Sqrt - 1¶

### Version¶

• name: Sqrt (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¶

Square root takes one input data (Tensor) and produces one output data (Tensor) where the square root is, y = x^0.5, is applied to the tensor elementwise. If x is negative, then it will return NaN.

### 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.