tf.keras.ops.matmul

Matrix product of two tensors.

Main aliases

tf.keras.ops.numpy.matmul

tf.keras.ops.matmul(
    x1, x2
)

If both tensors are 1-dimensional, the dot product (scalar) is returned.
If either tensor is N-D, N > 2, it is treated as a stack of matrices residing in the last two indexes and broadcast accordingly.
If the first tensor is 1-D, it is promoted to a matrix by prepending a 1 to its dimensions. After matrix multiplication the prepended 1 is removed.
If the second tensor is 1-D, it is promoted to a matrix by appending a 1 to its dimensions. After matrix multiplication the appended 1 is removed.

Args
`x1`	First tensor.
`x2`	Second tensor.

Returns
Output tensor, matrix product of the inputs.

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Last updated 2024-06-07 UTC.

Args