Cropping1D layer
Cropping1D class
tf_keras.layers.Cropping1D(cropping=(1, 1), **kwargs)
Cropping layer for 1D input (e.g. temporal sequence).
It crops along the time dimension (axis 1).
Examples
>>> input_shape = (2, 3, 2)
>>> x = np.arange(np.prod(input_shape)).reshape(input_shape)
>>> print(x)
[[[ 0 1]
[ 2 3]
[ 4 5]]
[[ 6 7]
[ 8 9]
[10 11]]]
>>> y = tf.keras.layers.Cropping1D(cropping=1)(x)
>>> print(y)
tf.Tensor(
[[[2 3]]
[[8 9]]], shape=(2, 1, 2), dtype=int64)
Arguments
- cropping: Int or tuple of int (length 2) How many units should be trimmed off at the beginning and end of the cropping dimension (axis 1). If a single int is provided, the same value will be used for both.
Input shape
3D tensor with shape (batch_size, axis_to_crop, features)
Output shape
3D tensor with shape (batch_size, cropped_axis, features)