Versioned name: StaticReshape-1

Category: Shape manipulation

Short description: StaticReshape changes dimensions of a input tensor according to the specified shape. Input tensor volume is equal to output tensor volume, where volume is the product of dimensions. Output tensor may have a different memory layout from input tensor. StaticReshape is not guaranteed to return a view or a copy of an input tensor when output tensor is in-placed with the input tensor, user should not depend on this behavior. For StaticReshape op, shape is given as an attribute. Users can use StaticReshape if shape is stored in a constant node or available during graph building stage. Otherwise, use DynamicReshape op.


  • shape

    • Description: shape is an array specifies the output shape. shape[i] gives the lengths of the i-th dimension of output. -1 means that this dimension is calculated to keep the overall elements count the same as the input tensor. No more than one -1 can be used in a StaticReshape operation.

    • Range of values: s64 values where value is no less than -1

    • Type: s64[]

    • Required: yes

  • special_zero

    • Description: special_zero controls how zero values in shape are interpreted.

      • If special_zero is false, then 0 is interpreted as-is which means that output shape will contain a zero dimension at the specified location. Input and output tensors are empty in this case. shape should not contain both 0 and -1 since the target shape cannot be inferred in such a case.

      • If special_zero is true, then all zeros in shape implies the copying of corresponding dimensions from the input tensor into the output shape.

    • Range of values: false or true

    • Type: boolean

    • Required: yes


  • 1: input - multidimensional input tensor of type T. Required.

    • Type: T


  • 1: Output tensor with the same content as input but with shape defined by attribute shape.

    • Type: T


  • T: f32,f16,bf16