mindspore.ops.dropout
- mindspore.ops.dropout(x, p=0.5, seed0=0, seed1=0)[source]
During training, randomly zeroes some of the elements of the input tensor with probability p from a Bernoulli distribution.
- Parameters
x (Tensor) – The input of Dropout, a Tensor of any shape with data type of float16 or float32.
p (float) – The dropping rate, between 0 and 1, e.g. p = 0.1, means dropping out 10% of input units. Default: 0.5.
seed0 (int) – seed0 value for random generating. Default: 0.
seed1 (int) – seed1 value for random generating. Default: 0.
- Returns
output (Tensor) - With the same shape and data type as x.
mask (Tensor) - With the same shape as x.
- Raises
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> x = Tensor(((20, 16), (50, 50)), mindspore.float32) >>> output, mask = ops.dropout(x, p=0.5) >>> print(output.shape) (2, 2)