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Specifications and Common Mistakes

- Specifications and Common Mistakes:

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mindspore.ops.L2Loss

class mindspore.ops.L2Loss

Calculates half of the L2 norm, but do not square the result.

Set input as x and output as loss.

$$loss=\frac{\sum x^2}{2}$$

Inputs:

• input_x (Tensor) - Tensor for computing the L2 norm. Data type must be float16, float32 or float64.

Outputs:

Tensor, has a Scalar Tensor with the same data type as input_x.

Raises

• TypeError – If input_x is not a Tensor.

• TypeError – If dtype of input_x is not float16, float32 or float64.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input_x = Tensor(np.array([1, 2, 3]), mindspore.float16)
>>> l2_loss = ops.L2Loss()
>>> output = l2_loss(input_x)
>>> print(output)
7.0