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

#: mars.tensor.amax:1 of
msgid "Return the maximum of an array or maximum along an axis."
msgstr ""

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

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

#: mars.tensor.amax:5 of
msgid ""
"Axis or axes along which to operate.  By default, flattened input is "
"used.  If this is a tuple of ints, the maximum is selected over multiple "
"axes, instead of a single axis or all the axes as before."
msgstr ""

#: mars.tensor.amax:5 of
msgid "Axis or axes along which to operate.  By default, flattened input is used."
msgstr ""

#: mars.tensor.amax:8 of
msgid ""
"If this is a tuple of ints, the maximum is selected over multiple axes, "
"instead of a single axis or all the axes as before."
msgstr ""

#: mars.tensor.amax:11 of
msgid ""
"Alternative output tensor in which to place the result.  Must be of the "
"same shape and buffer length as the expected output. See `doc.ufuncs` "
"(Section \"Output arguments\") for more details."
msgstr ""

#: mars.tensor.amax:15 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 `amax` method of sub-"
"classes of `ndarray`, 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.amax:15 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.amax:19 of
msgid ""
"If the default value is passed, then `keepdims` will not be passed "
"through to the `amax` method of sub-classes of `ndarray`, 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.amax:25 of
msgid "The number of chunks to combine."
msgstr ""

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

#: mars.tensor.amax:28 of
msgid ""
"**amax** -- Maximum of `a`. If `axis` is None, the result is a scalar "
"value. If `axis` is given, the result is a tensor of dimension ``a.ndim -"
" 1``."
msgstr ""

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

#: mars.tensor.amax:36 of
msgid ":func:`amin`"
msgstr ""

#: mars.tensor.amax:36 of
msgid "The minimum value of a tensor along a given axis, propagating any NaNs."
msgstr ""

#: mars.tensor.amax:39 of
msgid ":func:`nanmax`"
msgstr ""

#: mars.tensor.amax:39 of
msgid "The maximum value of a tensor along a given axis, ignoring any NaNs."
msgstr ""

#: mars.tensor.amax:42 of
msgid ":func:`maximum`"
msgstr ""

#: mars.tensor.amax:42 of
msgid "Element-wise maximum of two tensors, propagating any NaNs."
msgstr ""

#: mars.tensor.amax:45 of
msgid ":func:`fmax`"
msgstr ""

#: mars.tensor.amax:45 of
msgid "Element-wise maximum of two tensors, ignoring any NaNs."
msgstr ""

#: mars.tensor.amax:48 of
msgid ":func:`argmax`"
msgstr ""

#: mars.tensor.amax:48 of
msgid "Return the indices of the maximum values."
msgstr ""

#: mars.tensor.amax:50 of
msgid ":func:`nanmin`, :func:`minimum`, :func:`fmin`"
msgstr ""

#: mars.tensor.amax:53 of
msgid "Notes"
msgstr ""

#: mars.tensor.amax:54 of
msgid ""
"NaN values are propagated, that is if at least one item is NaN, the "
"corresponding max value will be NaN as well. To ignore NaN values (MATLAB"
" behavior), please use nanmax."
msgstr ""

#: mars.tensor.amax:58 of
msgid ""
"Don't use `amax` for element-wise comparison of 2 arrays; when "
"``a.shape[0]`` is 2, ``maximum(a[0], a[1])`` is faster than ``amax(a, "
"axis=0)``."
msgstr ""

#: mars.tensor.amax:63 of
msgid "Examples"
msgstr ""

