tf.linalg.cholesky

Compute the pairwise cross product.

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Compat aliases for migration

tf.compat.v1.cross, tf.compat.v1.linalg.cross

tf.linalg.cross(
    a, b, name=None
)

a and b must be the same shape; they can either be simple 3-element vectors, or any shape where the innermost dimension is 3. In the latter case, each pair of corresponding 3-element vectors is cross-multiplied independently.

Args
`a`	A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `int64`, `bfloat16`, `uint16`, `half`, `uint32`, `uint64`. A tensor containing 3-element vectors.
`b`	A `Tensor`. Must have the same type as `a`. Another tensor, of same type and shape as `a`.
`name`	A name for the operation (optional).

Returns
A `Tensor`. Has the same type as `a`.

TensorFlow

tf.linalg / cholesky

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Args

Returns

TensorFlow

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tf.linalg / cholesky

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Args

Returns