tf.keras.backend.dot

tf.keras.backend.dot(
    x,
    y
)

Defined in tensorflow/python/keras/_impl/keras/backend.py.

Multiplies 2 tensors (and/or variables) and returns a tensor.

When attempting to multiply a nD tensor with a nD tensor, it reproduces the Theano behavior. (e.g. (2, 3) * (4, 3, 5) -> (2, 4, 5))

Arguments:

  • x: Tensor or variable.
  • y: Tensor or variable.

Returns:

A tensor, dot product of `x` and `y`.

Examples:

    # dot product between tensors
    >>> x = K.placeholder(shape=(2, 3))
    >>> y = K.placeholder(shape=(3, 4))
    >>> xy = K.dot(x, y)
    >>> xy
    <tf.Tensor 'MatMul_9:0' shape=(2, 4) dtype=float32>
    # dot product between tensors
    >>> x = K.placeholder(shape=(32, 28, 3))
    >>> y = K.placeholder(shape=(3, 4))
    >>> xy = K.dot(x, y)
    >>> xy
    <tf.Tensor 'MatMul_9:0' shape=(32, 28, 4) dtype=float32>
    # Theano-like behavior example
    >>> x = K.random_uniform_variable(shape=(2, 3), low=0, high=1)
    >>> y = K.ones((4, 3, 5))
    >>> xy = K.dot(x, y)
    >>> K.int_shape(xy)
    (2, 4, 5)