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Computes the singular value decomposition of a matrix.
tf.keras.ops.svd(
x, full_matrices=True, compute_uv=True
)
Args | |
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x
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Input tensor of shape (..., M, N).
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Returns | |
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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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