ravel

paddle. ravel ( input: Tensor ) → Tensor [source]

Return a contiguous flattened tensor. A copy is made only if needed. .. note:

The output Tensor will share data with origin Tensor and doesn't have a Tensor copy in ``dygraph`` mode. If you want to use the Tensor copy version, please use `Tensor.clone` like ``ravel_clone_x = x.ravel().clone()``. For example: .. code-block:: text Case 1: Given X.shape = (3, 100, 100, 4) We get: Out.shape = (3 * 100 * 100 * 4) 

Parameters

x (Tensor) – A tensor of number of dimensions >= axis. A tensor with data type float16, float32, float64, int8, int32, int64, uint8.

Returns

A tensor with the contents of the input tensor, whose input axes are flattened by indicated start_axis and stop_axis, and data type is the same as input x.

Return type

Tensor

Examples

>>> import paddle >>> image_shape=(2, 3, 4, 4) >>> x = paddle.arange(end=image_shape[0] * image_shape[1] * image_shape[2] * image_shape[3]) >>> img = paddle.reshape(x, image_shape) >>> out = paddle.ravel(img) >>> print(out.shape) [96]