Andrew Audibert 6166444602 [tf.data] Add prefetch benchmark. ... This CL adds a benchmark to test the performance of the prefetch dataset transformation. PiperOrigin-RevId: 316605096 Change-Id: Iaf5d8f8c3afba6e51a53805afe5bc978916ff01e		2020-06-15 21:01:58 -07:00
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batch_benchmark.py	[tf.data] Implementing parallel batching logic.	2019-04-19 18:34:53 -07:00
benchmark_base.py	[tf.data] Adding microbenchmark for control flow lowering.	2020-04-15 21:53:21 -07:00
BUILD	[tf.data] Add prefetch benchmark.	2020-06-15 21:01:58 -07:00
filter_benchmark.py	[tf.data] Clean up and standardize benchmarks.	2019-02-05 11:11:01 -08:00
from_tensor_slices_benchmark.py	[tf.data] Reduce noise in the Dataset.from_tensor_slices(tf.SparseTensor).	2020-01-08 10:13:53 -08:00
list_files_benchmark.py	Benchmark name cleanup.	2019-05-16 11:41:25 -07:00
map_benchmark.py	[tf.data] Switch tf.data functions to default to using multi-device backend.	2020-05-01 14:45:51 -07:00
meta_benchmark.py	Small adjustments on import spacing.	2019-12-18 20:32:12 -08:00
prefetch_benchmark.py	[tf.data] Add prefetch benchmark.	2020-06-15 21:01:58 -07:00
range_benchmark.py	[tf.data] Exposing an option for specifying the CPU budget for autotuning parallelism and nesting the autotuning-related options under experimental_optimization.	2019-03-13 21:08:29 -07:00