tf.raw_ops.EuclideanNorm

Computes the euclidean norm of elements across dimensions of a tensor.

tf.raw_ops.EuclideanNorm(
    input, axis, keep_dims=False, name=None
)

Reduces input along the dimensions given in axis. Unless keep_dims is true, the rank of the tensor is reduced by 1 for each entry in axis. If keep_dims is true, the reduced dimensions are retained with length 1.

Args:

  • input: A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, uint16, complex128, half, uint32, uint64. The tensor to reduce.
  • axis: A Tensor. Must be one of the following types: int32, int64. The dimensions to reduce. Must be in the range [-rank(input), rank(input)).
  • keep_dims: An optional bool. Defaults to False. If true, retain reduced dimensions with length 1.
  • name: A name for the operation (optional).

Returns:

A Tensor. Has the same type as input.