# StaticReshape¶

## General¶

StaticReshape operation changes dimensions of $$\src$$ tensor according to the specified shape. The volume of $$\src$$ is equal to $$\dst$$, where volume is the product of dimensions. $$\dst$$ may have a different memory layout from $$\src$$. StaticReshape operation is not guaranteed to return a view or a copy of $$\src$$ when $$\dst$$ is in-placed with the $$\src$$. StaticReshape can be used where if shape is stored in a constant node or available during graph building stage. Then shape can be passed via shape attribute.

## Operation attributes¶

Attribute Name

De

shape

Specifies rules used for auto-broadcasting of src tensors.

string

none , numpy (default)

Required

special_zero

Controls how zero values in shape are interpreted.

bool

true , false

Required

Note

shape : dimension -1 means that this dimension is calculated to keep the same overall elements count as the src tensor. That case that more than one -1 in the shape is not supported.

Note

special_zero : if false, 0 in the shape is interpreted as-is (for example a zero-dimension tensor); if true, then all 0 s in shape implies the copying of corresponding dimensions from src into dst.

## Execution arguments¶

The inputs and outputs must be provided according to below index order when constructing an operation.

### Inputs¶

Index

Argument Name

Required or Optional

0

src

Required

### Outputs¶

Index

Argument Name

Required or Optional

0

dst

Required

## Supported data types¶

StaticReshape operation supports the following data type combinations.

Src

Dst

f32

f32

bf16

bf16

f16

f16