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testing doc-builder #6289

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testing doc-builder #6289

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Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

Benchmark: benchmark_array_xd.json

metric read_batch_formatted_as_numpy after write_array2d read_batch_formatted_as_numpy after write_flattened_sequence read_batch_formatted_as_numpy after write_nested_sequence read_batch_unformated after write_array2d read_batch_unformated after write_flattened_sequence read_batch_unformated after write_nested_sequence read_col_formatted_as_numpy after write_array2d read_col_formatted_as_numpy after write_flattened_sequence read_col_formatted_as_numpy after write_nested_sequence read_col_unformated after write_array2d read_col_unformated after write_flattened_sequence read_col_unformated after write_nested_sequence read_formatted_as_numpy after write_array2d read_formatted_as_numpy after write_flattened_sequence read_formatted_as_numpy after write_nested_sequence read_unformated after write_array2d read_unformated after write_flattened_sequence read_unformated after write_nested_sequence write_array2d write_flattened_sequence write_nested_sequence
new / old (diff) 0.006424 / 0.011353 (-0.004929) 0.003960 / 0.011008 (-0.007048) 0.084022 / 0.038508 (0.045514) 0.070770 / 0.023109 (0.047661) 0.320525 / 0.275898 (0.044627) 0.354507 / 0.323480 (0.031027) 0.003939 / 0.007986 (-0.004047) 0.004161 / 0.004328 (-0.000168) 0.064754 / 0.004250 (0.060503) 0.053630 / 0.037052 (0.016578) 0.323948 / 0.258489 (0.065459) 0.376908 / 0.293841 (0.083067) 0.031063 / 0.128546 (-0.097483) 0.008470 / 0.075646 (-0.067177) 0.288110 / 0.419271 (-0.131161) 0.053062 / 0.043533 (0.009529) 0.328176 / 0.255139 (0.073037) 0.345203 / 0.283200 (0.062003) 0.024579 / 0.141683 (-0.117104) 1.471649 / 1.452155 (0.019495) 1.561458 / 1.492716 (0.068742)

Benchmark: benchmark_getitem_100B.json

metric get_batch_of_1024_random_rows get_batch_of_1024_rows get_first_row get_last_row
new / old (diff) 0.223591 / 0.018006 (0.205585) 0.450758 / 0.000490 (0.450269) 0.003751 / 0.000200 (0.003552) 0.000079 / 0.000054 (0.000025)

Benchmark: benchmark_indices_mapping.json

metric select shard shuffle sort train_test_split
new / old (diff) 0.027859 / 0.037411 (-0.009552) 0.080607 / 0.014526 (0.066081) 0.093835 / 0.176557 (-0.082722) 0.150466 / 0.737135 (-0.586669) 0.094381 / 0.296338 (-0.201957)

Benchmark: benchmark_iterating.json

metric read 5000 read 50000 read_batch 50000 10 read_batch 50000 100 read_batch 50000 1000 read_formatted numpy 5000 read_formatted pandas 5000 read_formatted tensorflow 5000 read_formatted torch 5000 read_formatted_batch numpy 5000 10 read_formatted_batch numpy 5000 1000 shuffled read 5000 shuffled read 50000 shuffled read_batch 50000 10 shuffled read_batch 50000 100 shuffled read_batch 50000 1000 shuffled read_formatted numpy 5000 shuffled read_formatted_batch numpy 5000 10 shuffled read_formatted_batch numpy 5000 1000
new / old (diff) 0.394011 / 0.215209 (0.178802) 3.918318 / 2.077655 (1.840664) 1.928684 / 1.504120 (0.424564) 1.765944 / 1.541195 (0.224749) 1.784716 / 1.468490 (0.316226) 0.487189 / 4.584777 (-4.097588) 3.537705 / 3.745712 (-0.208008) 3.312162 / 5.269862 (-1.957699) 2.024520 / 4.565676 (-2.541156) 0.057571 / 0.424275 (-0.366704) 0.007203 / 0.007607 (-0.000404) 0.467253 / 0.226044 (0.241208) 4.659934 / 2.268929 (2.391005) 2.377764 / 55.444624 (-53.066860) 2.021984 / 6.876477 (-4.854492) 2.197468 / 2.142072 (0.055395) 0.586415 / 4.805227 (-4.218812) 0.136636 / 6.500664 (-6.364028) 0.060885 / 0.075469 (-0.014584)

Benchmark: benchmark_map_filter.json

metric filter map fast-tokenizer batched map identity map identity batched map no-op batched map no-op batched numpy map no-op batched pandas map no-op batched pytorch map no-op batched tensorflow
new / old (diff) 1.241879 / 1.841788 (-0.599908) 18.719327 / 8.074308 (10.645019) 14.408689 / 10.191392 (4.217297) 0.155778 / 0.680424 (-0.524646) 0.018475 / 0.534201 (-0.515726) 0.392316 / 0.579283 (-0.186967) 0.409803 / 0.434364 (-0.024561) 0.458701 / 0.540337 (-0.081637) 0.630561 / 1.386936 (-0.756375)
PyArrow==latest
Show updated benchmarks!

Benchmark: benchmark_array_xd.json

metric read_batch_formatted_as_numpy after write_array2d read_batch_formatted_as_numpy after write_flattened_sequence read_batch_formatted_as_numpy after write_nested_sequence read_batch_unformated after write_array2d read_batch_unformated after write_flattened_sequence read_batch_unformated after write_nested_sequence read_col_formatted_as_numpy after write_array2d read_col_formatted_as_numpy after write_flattened_sequence read_col_formatted_as_numpy after write_nested_sequence read_col_unformated after write_array2d read_col_unformated after write_flattened_sequence read_col_unformated after write_nested_sequence read_formatted_as_numpy after write_array2d read_formatted_as_numpy after write_flattened_sequence read_formatted_as_numpy after write_nested_sequence read_unformated after write_array2d read_unformated after write_flattened_sequence read_unformated after write_nested_sequence write_array2d write_flattened_sequence write_nested_sequence
new / old (diff) 0.006541 / 0.011353 (-0.004812) 0.003915 / 0.011008 (-0.007094) 0.064292 / 0.038508 (0.025784) 0.069174 / 0.023109 (0.046065) 0.402048 / 0.275898 (0.126150) 0.423960 / 0.323480 (0.100480) 0.005355 / 0.007986 (-0.002631) 0.003295 / 0.004328 (-0.001033) 0.065212 / 0.004250 (0.060962) 0.054292 / 0.037052 (0.017240) 0.402930 / 0.258489 (0.144441) 0.441840 / 0.293841 (0.147999) 0.032732 / 0.128546 (-0.095814) 0.008565 / 0.075646 (-0.067081) 0.070705 / 0.419271 (-0.348567) 0.047908 / 0.043533 (0.004375) 0.401400 / 0.255139 (0.146261) 0.422682 / 0.283200 (0.139483) 0.022244 / 0.141683 (-0.119439) 1.532018 / 1.452155 (0.079864) 1.597955 / 1.492716 (0.105239)

Benchmark: benchmark_getitem_100B.json

metric get_batch_of_1024_random_rows get_batch_of_1024_rows get_first_row get_last_row
new / old (diff) 0.226277 / 0.018006 (0.208271) 0.475578 / 0.000490 (0.475088) 0.005456 / 0.000200 (0.005256) 0.000140 / 0.000054 (0.000085)

Benchmark: benchmark_indices_mapping.json

metric select shard shuffle sort train_test_split
new / old (diff) 0.033111 / 0.037411 (-0.004300) 0.093138 / 0.014526 (0.078613) 0.104619 / 0.176557 (-0.071937) 0.157972 / 0.737135 (-0.579164) 0.105017 / 0.296338 (-0.191321)

Benchmark: benchmark_iterating.json

metric read 5000 read 50000 read_batch 50000 10 read_batch 50000 100 read_batch 50000 1000 read_formatted numpy 5000 read_formatted pandas 5000 read_formatted tensorflow 5000 read_formatted torch 5000 read_formatted_batch numpy 5000 10 read_formatted_batch numpy 5000 1000 shuffled read 5000 shuffled read 50000 shuffled read_batch 50000 10 shuffled read_batch 50000 100 shuffled read_batch 50000 1000 shuffled read_formatted numpy 5000 shuffled read_formatted_batch numpy 5000 10 shuffled read_formatted_batch numpy 5000 1000
new / old (diff) 0.441771 / 0.215209 (0.226562) 4.396981 / 2.077655 (2.319326) 2.410745 / 1.504120 (0.906625) 2.258359 / 1.541195 (0.717164) 2.372628 / 1.468490 (0.904138) 0.491411 / 4.584777 (-4.093366) 3.650084 / 3.745712 (-0.095628) 3.279557 / 5.269862 (-1.990304) 2.011377 / 4.565676 (-2.554300) 0.058283 / 0.424275 (-0.365992) 0.007435 / 0.007607 (-0.000172) 0.507212 / 0.226044 (0.281167) 5.080104 / 2.268929 (2.811176) 2.822680 / 55.444624 (-52.621945) 2.507608 / 6.876477 (-4.368869) 2.719349 / 2.142072 (0.577277) 0.586157 / 4.805227 (-4.219071) 0.132851 / 6.500664 (-6.367813) 0.059944 / 0.075469 (-0.015525)

Benchmark: benchmark_map_filter.json

metric filter map fast-tokenizer batched map identity map identity batched map no-op batched map no-op batched numpy map no-op batched pandas map no-op batched pytorch map no-op batched tensorflow
new / old (diff) 1.374801 / 1.841788 (-0.466987) 19.089359 / 8.074308 (11.015051) 14.525861 / 10.191392 (4.334469) 0.184758 / 0.680424 (-0.495666) 0.020206 / 0.534201 (-0.513995) 0.397309 / 0.579283 (-0.181975) 0.418120 / 0.434364 (-0.016244) 0.471817 / 0.540337 (-0.068520) 0.681691 / 1.386936 (-0.705245)

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HuggingFaceDocBuilderDev commented Oct 13, 2023

The documentation is not available anymore as the PR was closed or merged.

@mishig25 mishig25 closed this Oct 13, 2023
@mishig25 mishig25 deleted the mishig25-patch-1 branch October 13, 2023 08:56
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