fit
, evaluate
and predict
to distribute their model on multiple GPUs.RandomUniform
, RandomNormal
, and TruncatedNormal
initializers have been changed to match those in external Keras.model.get_config()
on a Sequential model now returns a config dictionary (consistent with other Model instances) instead of a list of configs for the underlying layers.num_parallel_parser_calls
argument from tf.contrib.data.make_csv_dataset()
. [tf.data] Remove num_parallel_parser_calls
argument from tf.contrib.data.make_csv_dataset()
.tf.data.Dataset.list_files()
raises an exception at initialization time if the argument matches no files.tf.contrib.data.reduce_dataset
which can be used to reduce a dataset to a single element.tf.contrib.data.sliding_window_batch
.tf.contrib
:implementation
argument to tf.keras.layers.LocallyConnected2D
and tf.keras.layers.LocallyConnected1D
. The new mode (implementation=2
) performs forward pass as a single dense matrix multiplication, allowing dramatic speedups in certain scenarios (but worse performance in others - see docstring). The option also allows to use padding=same
.TFDBG_DISK_BYTES_LIMIT
to allow adjustment of this upper limit.