paddlenlp.data.sampler.po

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#: ../source/paddlenlp.data.sampler.rst:2
msgid "sampler"
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper:1
msgid "基类：:class:`object`"
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper:1
msgid ""
"The class is to help construct iterable sampler used for "
":class:`paddle.io.DataLoader`. It wraps a dataset and uses its "
":meth:`__getitem__` method. Every subclass of :class:`SamplerHelper` has "
"to provide an :meth:`__iter__` method, providing a way to iterate over "
"indices of dataset elements, and a :meth:`__len__` method that returns "
"the length of the returned iterators."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper:8
msgid ""
"The class also can be used as batch iterator instead of indices iterator "
"when `iterator` yield samples rather than indices by initializing "
"`iterator` with a iterable dataset."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper:13
msgid ""
"The :meth:`__len__` method isn't strictly required by "
":class:`paddle.io.DataLoader`, but is expected in any calculation "
"involving the length of a :class:`paddle.io.DataLoader`."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper
#: paddlenlp.data.sampler.SamplerHelper.batch
#: paddlenlp.data.sampler.SamplerHelper.shard
#: paddlenlp.data.sampler.SamplerHelper.shuffle
#: paddlenlp.data.sampler.SamplerHelper.sort
msgid "参数"
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper:17
msgid "Input dataset for :class:`SamplerHelper`."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper:19
msgid "Iterator of dataset. Default: None."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.length:1
msgid "Returns the length."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.shuffle:1
msgid "Shuffles the dataset according to the given buffer size and random seed."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.shuffle:3
msgid ""
"Buffer size for shuffle. If `buffer_size < 0` or more than the length of "
"the dataset, `buffer_size` is the length of the dataset. Default: -1."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.shuffle:7
msgid "Seed for the random. Default: None."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.batch
#: paddlenlp.data.sampler.SamplerHelper.shard
#: paddlenlp.data.sampler.SamplerHelper.shuffle
#: paddlenlp.data.sampler.SamplerHelper.sort
msgid "返回"
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.shuffle:10
msgid "A new shuffled :class:`SamplerHelper` object."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.batch
#: paddlenlp.data.sampler.SamplerHelper.shard
#: paddlenlp.data.sampler.SamplerHelper.shuffle
#: paddlenlp.data.sampler.SamplerHelper.sort
msgid "返回类型"
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.batch:25
#: paddlenlp.data.sampler.SamplerHelper.shard:18
#: paddlenlp.data.sampler.SamplerHelper.shuffle:14
#: paddlenlp.data.sampler.SamplerHelper.sort:21
msgid "示例"
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.sort:1
msgid "Sorts the dataset according to given callable :meth:`cmp` or :meth:`key`."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.sort:3
msgid "The function of comparison. Default: None."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.sort:5
msgid "The function of key. Default: None."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.sort:7
msgid ""
"Whether to reverse when sorting the data samples. If True, it means in "
"descending order, and False means in ascending order. Default: False."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.sort:11
msgid ""
"Buffer size for sort. If `buffer_size < 0` or `buffer_size` is more than "
"the length of the data, `buffer_size` will be set to the length of the "
"data. Default: -1."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.sort:17
msgid "A new sorted :class:`SamplerHelper` object."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.batch:1
msgid "Batches the dataset according to given `batch_size`."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.batch:3
msgid "The batch size."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.batch:5
msgid "Whether to drop the last mini batch. Default: False."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.batch:8
msgid ""
"It accepts four arguments: index of data source, the length of minibatch,"
" the size of minibatch so far and data source, and it returns the size of"
" mini batch so far. Actually, the returned value can be anything and "
"would used as argument `size_so_far` in `key`. If None, it would return "
"the length of mini match. Default: None."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.batch:15
msgid ""
"The function of key. It accepts the size of minibatch so far and the "
"length of minibatch, and returns what to be compared with `batch_size`. "
"If None, only the size of mini batch so far would be compared with "
"`batch_size`. Default: None."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.batch:21
msgid "A new batched :class:`SamplerHelper` object."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.shard:1
msgid "Slices the dataset for multi GPU training."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.shard:3
msgid ""
"The number of training process, and is also the number of GPU cards used "
"in training. If None, it will be set by "
":meth:`paddle.distributed.get_world_size` method. Default: None."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.shard:8
msgid ""
"The id of current training process. Equal to the value of the environment"
" variable PADDLE_TRAINER_ID. If None, it will be intialized by "
":meth:`paddle.distributed.get_rank` method. Default: None."
msgstr ""

#: of paddlenlp.data.sampler.SamplerHelper.shard:14
msgid "A new sliced :class:`SamplerHelper` object."
msgstr ""