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tf.keras.ops.svd

Computes the singular value decomposition of a matrix.

Main aliases

tf.keras.ops.linalg.svd

tf.keras.ops.svd(
    x, full_matrices=True, compute_uv=True
)

Args
`x`	Input tensor of shape `(..., M, N)`.

Returns
A tuple of three tensors: a tensor of shape `(..., M, M)` containing the left singular vectors, a tensor of shape `(..., M, N)` containing the singular values and a tensor of shape `(..., N, N)` containing the right singular vectors.

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Last updated 2024-04-26 UTC.

Args