|View source on GitHub|
Context manager for recording interceptable executions onto a tape.
tf.GradientTape, operations are recorded if they are executed
within this context manager. In addition, the operation must be registered
tape: OrderedDict where operations are recorded in sequence. Keys are the
namekeyword argument to the operation (typically, a random variable's
name) and values are the corresponding output of the operation. If the operation has no name, it is not recorded.
from tensorflow_probability import edward2 as ed def probabilistic_matrix_factorization(): users = ed.Normal(0., 1., sample_shape=[5000, 128], name="users") items = ed.Normal(0., 1., sample_shape=[7500, 128], name="items") ratings = ed.Normal(loc=tf.matmul(users, items, transpose_b=True), scale=0.1, name="ratings") return ratings with ed.tape() as model_tape: ratings = probabilistic_matrix_factorization() assert model_tape["users"].shape == (5000, 128) assert model_tape["items"].shape == (7500, 128) assert model_tape["ratings"] == ratings