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# This file is distributed under the same license as the mars package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2020.
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#: ../../source/reference/tensor/generated/mars.tensor.asarray.rst:2
msgid "mars.tensor.asarray"
msgstr ""

#: mars.tensor.asarray:1 of
msgid "Convert the input to an array."
msgstr ""

#: mars.tensor.asarray of
msgid "Parameters"
msgstr ""

#: mars.tensor.asarray:3 of
msgid ""
"Input data, in any form that can be converted to a tensor.  This includes"
" lists, lists of tuples, tuples, tuples of tuples, tuples of lists and "
"tensors."
msgstr ""

#: mars.tensor.asarray:7 of
msgid "By default, the data-type is inferred from the input data."
msgstr ""

#: mars.tensor.asarray:9 of
msgid ""
"Whether to use row-major (C-style) or column-major (Fortran-style) memory"
" representation."
msgstr ""

#: mars.tensor.asarray:12 of
msgid "Specifies chunk size for each dimension."
msgstr ""

#: mars.tensor.asarray of
msgid "Returns"
msgstr ""

#: mars.tensor.asarray:15 of
msgid ""
"**out** -- Tensor interpretation of `a`.  No copy is performed if the "
"input is already an ndarray with matching dtype and order.  If `a` is a "
"subclass of ndarray, a base class ndarray is returned."
msgstr ""

#: mars.tensor.asarray of
msgid "Return type"
msgstr ""

#: mars.tensor.asarray:23 of
msgid ":func:`ascontiguousarray`"
msgstr ""

#: mars.tensor.asarray:23 of
msgid "Convert input to a contiguous tensor."
msgstr ""

#: mars.tensor.asarray:25 of
msgid ":func:`asfortranarray`"
msgstr ""

#: mars.tensor.asarray:26 of
msgid "Convert input to a tensor with column-major memory order."
msgstr ""

#: mars.tensor.asarray:29 of
msgid "Examples"
msgstr ""

#: mars.tensor.asarray:30 of
msgid "Convert a list into a tensor:"
msgstr ""

#: mars.tensor.asarray:38 of
msgid "Existing arrays are not copied:"
msgstr ""

#: mars.tensor.asarray:44 of
msgid "If `dtype` is set, array is copied only if dtype does not match:"
msgstr ""

