# SOME DESCRIPTIVE TITLE.
# Copyright (C) 1999-2020, The Alibaba Group Holding Ltd.
# This file is distributed under the same license as the mars package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2020.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: mars 0.5.0a2\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2020-06-16 16:57+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.7.0\n"

#: ../../source/reference/tensor/generated/mars.tensor.prod.rst:2
msgid "mars.tensor.prod"
msgstr ""

#: mars.tensor.prod:1 of
msgid "Return the product of tensor elements over a given axis."
msgstr ""

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

#: mars.tensor.prod:3 of
msgid "Input data."
msgstr ""

#: mars.tensor.prod:5 of
msgid ""
"Axis or axes along which a product is performed.  The default, axis=None,"
" will calculate the product of all the elements in the input tensor. If "
"axis is negative it counts from the last to the first axis.  If axis is a"
" tuple of ints, a product is performed on all of the axes specified in "
"the tuple instead of a single axis or all the axes as before."
msgstr ""

#: mars.tensor.prod:5 of
msgid ""
"Axis or axes along which a product is performed.  The default, axis=None,"
" will calculate the product of all the elements in the input tensor. If "
"axis is negative it counts from the last to the first axis."
msgstr ""

#: mars.tensor.prod:10 of
msgid ""
"If axis is a tuple of ints, a product is performed on all of the axes "
"specified in the tuple instead of a single axis or all the axes as "
"before."
msgstr ""

#: mars.tensor.prod:14 of
msgid ""
"The type of the returned tensor, as well as of the accumulator in which "
"the elements are multiplied.  The dtype of `a` is used by default unless "
"`a` has an integer dtype of less precision than the default platform "
"integer.  In that case, if `a` is signed then the platform integer is "
"used while if `a` is unsigned then an unsigned integer of the same "
"precision as the platform integer is used."
msgstr ""

#: mars.tensor.prod:21 of
msgid ""
"Alternative output tensor in which to place the result. It must have the "
"same shape as the expected output, but the type of the output values will"
" be cast if necessary."
msgstr ""

#: mars.tensor.prod:25 of
msgid ""
"If this is set to True, the axes which are reduced are left in the result"
" as dimensions with size one. With this option, the result will broadcast"
" correctly against the input array.  If the default value is passed, then"
" `keepdims` will not be passed through to the `prod` method of sub-"
"classes of `Tensor`, however any non-default value will be.  If the sub-"
"classes `sum` method does not implement `keepdims` any exceptions will be"
" raised."
msgstr ""

#: mars.tensor.prod:25 of
msgid ""
"If this is set to True, the axes which are reduced are left in the result"
" as dimensions with size one. With this option, the result will broadcast"
" correctly against the input array."
msgstr ""

#: mars.tensor.prod:29 of
msgid ""
"If the default value is passed, then `keepdims` will not be passed "
"through to the `prod` method of sub-classes of `Tensor`, however any non-"
"default value will be.  If the sub-classes `sum` method does not "
"implement `keepdims` any exceptions will be raised."
msgstr ""

#: mars.tensor.prod:35 of
msgid "The number of chunks to combine."
msgstr ""

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

#: mars.tensor.prod:38 of
msgid ""
"**product_along_axis** -- An tensor shaped as `a` but with the specified "
"axis removed. Returns a reference to `out` if specified."
msgstr ""

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

#: mars.tensor.prod:40 of
msgid "Tensor, see `dtype` parameter above."
msgstr ""

#: mars.tensor.prod:44 of
msgid ":func:`Tensor.prod`"
msgstr ""

#: mars.tensor.prod:45 of
msgid "equivalent method"
msgstr ""

#: mars.tensor.prod:48 of
msgid "Notes"
msgstr ""

#: mars.tensor.prod:49 of
msgid ""
"Arithmetic is modular when using integer types, and no error is raised on"
" overflow.  That means that, on a 32-bit platform:"
msgstr ""

#: mars.tensor.prod:58 of
msgid "The product of an empty array is the neutral element 1:"
msgstr ""

#: mars.tensor.prod:64 of
msgid "Examples"
msgstr ""

#: mars.tensor.prod:65 of
msgid "By default, calculate the product of all elements:"
msgstr ""

#: mars.tensor.prod:70 of
msgid "Even when the input array is two-dimensional:"
msgstr ""

#: mars.tensor.prod:75 of
msgid "But we can also specify the axis over which to multiply:"
msgstr ""

#: mars.tensor.prod:80 of
msgid ""
"If the type of `x` is unsigned, then the output type is the unsigned "
"platform integer:"
msgstr ""

#: mars.tensor.prod:87 of
msgid ""
"If `x` is of a signed integer type, then the output type is the default "
"platform integer:"
msgstr ""

