tf.linalg.eigvalsh

TensorFlow 1 version

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Computes the global norm of multiple tensors.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.global_norm, tf.compat.v1.linalg.global_norm

tf.linalg.global_norm(
    t_list, name=None
)

Given a tuple or list of tensors t_list, this operation returns the global norm of the elements in all tensors in t_list. The global norm is computed as:

global_norm = sqrt(sum([l2norm(t)**2 for t in t_list]))

Any entries in t_list that are of type None are ignored.

Args
`t_list`	A tuple or list of mixed `Tensors`, `IndexedSlices`, or None.
`name`	A name for the operation (optional).

Returns
A 0-D (scalar) `Tensor` of type `float`.

Raises
`TypeError`	If `t_list` is not a sequence.

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tf.linalg / eigvalsh

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Args

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