Represents options for dataset optimizations.
tf.data.experimental.OptimizationOptions()
You can set the optimization options of a dataset through the
experimental_optimization
property of tf.data.Options
; the property is
an instance of tf.data.experimental.OptimizationOptions
.
options = tf.data.Options()
options.experimental_optimization.noop_elimination = True
options.experimental_optimization.apply_default_optimizations = False
dataset = dataset.with_options(options)
Attributes |
apply_default_optimizations
|
Whether to apply default graph optimizations. If False, only graph optimizations that have been explicitly enabled will be applied.
|
filter_fusion
|
Whether to fuse filter transformations. If None, defaults to False.
|
filter_parallelization
|
Whether to parallelize stateless filter transformations. If None, defaults to False.
|
inject_prefetch
|
Whether to inject prefetch transformation as the last transformation when the last transformation is a synchronous transformation. If None, defaults to True.
|
map_and_batch_fusion
|
Whether to fuse map and batch transformations. If None, defaults to True.
|
map_and_filter_fusion
|
Whether to fuse map and filter transformations. If None, defaults to False.
|
map_fusion
|
Whether to fuse map transformations. If None, defaults to False.
|
map_parallelization
|
Whether to parallelize stateless map transformations. If None, defaults to True.
|
noop_elimination
|
Whether to eliminate no-op transformations. If None, defaults to True.
|
parallel_batch
|
Whether to parallelize copying of batch elements. If None, defaults to True.
|
shuffle_and_repeat_fusion
|
Whether to fuse shuffle and repeat transformations. If None, defaults to True.
|
warm_start
|
Whether to start background threads of asynchronous transformations upon iterator creation (as opposed to upon first call to GetNext ). If None, defaults to False. It should be noted that this possibly improves the latency of the initial 'GetNext' call at the expense of requiring more memory to hold prefetched elements between the time of iterator construction and usage.
|
Methods
__eq__
View source
__eq__(
other
)
Return self==value.
__ne__
View source
__ne__(
other
)
Return self!=value.