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Computes the singular value decomposition of a matrix.
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 2025-08-07 UTC.
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