Reshape - version 13#

This page documents version 13 of operator Reshape. See Reshape for the latest version (since version 25).

Domain: ai.onnx
Since version: 13

Reshape the input tensor similar to numpy.reshape.

Inputs

data (T): An input tensor.
shape (tensor(int64)): Specified shape for output.

Outputs

reshaped (T): Reshaped data.

Type Constraints

T: Constrain input and output types to all tensor types. Allowed types: tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8).

Examples#

test_cc_reshape_reordered

Node:
  Reshape(data, shape) -> (reshaped)

Inputs:
  data: shape=(2, 3), dtype=float32
    [[1., 2., 3.],
     [4., 5., 6.]]
  shape: shape=(2,), dtype=int64
    [3, 2]

Outputs:
  reshaped: shape=(3, 2), dtype=float32
    [[1., 2.],
     [3., 4.],
     [5., 6.]]