tf.keras.backend.dot(
x,
y
)
Defined in tensorflow/python/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)