- paddle. flatten ( x, start_axis=0, stop_axis=- 1, name=None )
Flattens a contiguous range of axes in a tensor according to start_axis and stop_axis.
Note that the output Tensor will share data with origin Tensor and doesn’t have a Tensor copy in
dygraphmode. If you want to use the Tensor copy version, please use Tensor.clone like
flatten_clone_x = x.flatten().clone().
Case 1: Given X.shape = (3, 100, 100, 4) and start_axis = 1 end_axis = 2 We get: Out.shape = (3, 1000 * 100, 2) Case 2: Given X.shape = (3, 100, 100, 4) and start_axis = 0 stop_axis = -1 We get: Out.shape = (3 * 100 * 100 * 4)
x (Tensor) – A tensor of number of dimentions >= axis. A tensor with data type float32, float64, int8, int32, int64, uint8.
start_axis (int) – the start axis to flatten
stop_axis (int) – the stop axis to flatten
name (str, Optional) – For details, please refer to Name. Generally, no setting is required. Default: None.
- A tensor with the contents of the input tensor, with input
axes flattened by indicated start axis and end axis. A Tensor with data type same as input x.
- Return type
ValueError – If x is not a Tensor.
ValueError – If start_axis or stop_axis is illegal.
import paddle image_shape=(2, 3, 4, 4) x = paddle.arange(end=image_shape * image_shape * image_shape * image_shape) img = paddle.reshape(x, image_shape) out = paddle.flatten(img, start_axis=1, stop_axis=2) # out shape is [2, 12, 4] # out shares data with img in dygraph mode img[0, 0, 0, 0] = -1 print(out[0, 0, 0]) # [-1]