!45525 [MS][OP]bartlett_window blackman window
Merge pull request !45525 from mengyuanli/code_docs_export_primitive_bartlett_window
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9db1a6aaee
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@ -625,3 +625,14 @@ Parameter操作算子
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mindspore.ops.Custom
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光谱算子
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----------
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.. mscnautosummary::
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:toctree: ops
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:nosignatures:
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:template: classtemplate.rst
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mindspore.ops.BartlettWindow
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mindspore.ops.BlackmanWindow
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@ -0,0 +1,8 @@
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mindspore.ops.BartlettWindow
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==============================
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.. py:class:: mindspore.ops.BartlettWindow(periodic=True, dtype=mstype.float32)
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巴特利特窗口函数。
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更多参考详见 :func:`mindspore.ops.bartlett_window`。
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@ -0,0 +1,8 @@
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mindspore.ops.BlackmanWindow
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==============================
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.. py:class:: mindspore.ops.BlackmanWindow(periodic=True, dtype=mstype.float32)
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布莱克曼窗口函数。
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更多参考详见 :func:`mindspore.ops.blackman_window`。
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@ -0,0 +1,37 @@
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mindspore.ops.bartlett_window
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=============================
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.. py:function:: mindspore.ops.bartlett_window(window_length, periodic=True, *, dtype=mstype.float32)
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巴特利特窗口函数。
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`window_length` 是一个Tensor,控制返回的窗口大小,其数据类型必须是整数。特别的,当 `window_length` 为1时,返回的窗口只包含一个值,为 `1` 。 `periodic` 决定返回的窗口是否会删除对称窗口的最后一个重复值,并准备用作带函数的周期窗口。因此,如果 `periodic` 为True, :math:`N` 为 :math:`window\_length + 1`。
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.. math::
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w[n] = 1 - \left| \frac{2n}{N-1} - 1 \right| = \begin{cases}
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\frac{2n}{N - 1} & \text{if } 0 \leq n \leq \frac{N - 1}{2} \\
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2 - \frac{2n}{N - 1} & \text{if } \frac{N - 1}{2} < n < N \\
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\end{cases},
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\text{where : N is the full window size.}
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其中,N是总的窗口长度 `window_length` ,n为小于N的自然数 [0, 1, ..., N-1]。
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参数:
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- **window_length** (Tensor) - 返回窗口的大小,数据类型为int32,int64。输入数据的值为[0,1000000]的整数。
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- **periodic** (bool,可选) - 如果为True,返回一个窗口作为周期函数使用。如果为False,返回一个对称窗口。默认值:True。
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关键字参数:
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- **dtype** (mindspore.dtype,可选) - 输出数据类型,目前只支持float16、float32和float64。默认值:mindspore.float32。
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返回:
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1D Tensor,大小为 `window_length` ,数据类型与 `dtype` 一致。
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异常:
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- **TypeError** - `window_length` 不是Tensor。
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- **TypeError** - `window_length` 的数据类型不是int32、int64。
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- **TypeError** - `periodic` 不是bool。
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- **TypeError** - `dtype` 不是float16、float32、float64。
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- **ValueError** - `window_length` 的值不在[0, 1000000]。
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- **ValueError** - `window_length` 的维度不等于0。
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@ -14,10 +14,10 @@ mindspore.ops.blackman_window
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参数:
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- **window_length** (Tensor) - 返回窗口的大小,数据类型为int32,int64。输入数据的值为[0,1000000]的整数。
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- **periodic** (bool) - 如果为True,返回一个窗口作为周期函数使用。如果为False,返回一个对称窗口。默认值:True。
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- **periodic** (bool,可选) - 如果为True,返回一个窗口作为周期函数使用。如果为False,返回一个对称窗口。默认值:True。
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关键字参数:
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- **dtype** (mindspore.dtype) - 输出数据类型,目前只支持float16、float32和float64。默认值:None。
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- **dtype** (mindspore.dtype,可选) - 输出数据类型,目前只支持float16、float32和float64。默认值:None。
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返回:
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1D Tensor,大小为 `window_length` ,数据类型与 `dtype` 一致。
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@ -623,3 +623,14 @@ Customizing Operator
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mindspore.ops.Custom
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Spectral Operator
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-----------------
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.. autosummary::
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:toctree: ops
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:nosignatures:
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:template: classtemplate.rst
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mindspore.ops.BartlettWindow
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mindspore.ops.BlackmanWindow
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@ -40,11 +40,11 @@ def blackman_window(window_length, periodic=True, *, dtype=None):
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Args:
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window_length (Tensor): the size of returned window, with data type int32, int64.
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The input data should be an integer with a value of [0, 1000000].
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periodic (bool): If True, returns a window to be used as periodic function.
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periodic (bool, optional): If True, returns a window to be used as periodic function.
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If False, return a symmetric window. Default: True.
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Keyword args:
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dtype (mindspore.dtype): the desired data type of returned tensor.
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dtype (mindspore.dtype, optional): the desired data type of returned tensor.
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Only float16, float32 and float64 is allowed. Default: None.
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Returns:
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@ -100,11 +100,11 @@ def bartlett_window(window_length, periodic=True, *, dtype=None):
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Args:
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window_length (Tensor): The size of returned window, with data type int32, int64.
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The input data should be an integer with a value of [0, 1000000].
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periodic (bool): If True, returns a window to be used as periodic function.
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periodic (bool, optional): If True, returns a window to be used as periodic function.
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If False, return a symmetric window. Default: True.
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Keyword args:
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dtype (mindspore.dtype): The desired datatype of returned tensor.
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dtype (mindspore.dtype, optional): The desired datatype of returned tensor.
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Only float16, float32 and float64 are allowed. Default: None.
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Returns:
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@ -158,42 +158,7 @@ class BartlettWindow(Primitive):
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r"""
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Bartlett window function.
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The input "window_length" is a tensor that datatype must be a integer, which controlling the returned window size.
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In particular, If "window_length" = 1, the returned window contains a single value 1.
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Attr "periodic" determines whether the returned window trims off the last duplicate value from the symmetric window
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and is ready to be used as a periodic window with functions. Therefore, if attr "periodic" is true, the "N" in
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formula is in fact "window_length" + 1.
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.. math::
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w[n] = 1 - \left| \frac{2n}{N-1} - 1 \right| = \begin{cases}
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\frac{2n}{N - 1} & \text{if } 0 \leq n \leq \frac{N - 1}{2} \\
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2 - \frac{2n}{N - 1} & \text{if } \frac{N - 1}{2} < n < N \\
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\end{cases},
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\text{where : N is the full window size.}
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Args:
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periodic(bool): If True, returns a window to be used as periodic function. If False, return a symmetric window.
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Default: True.
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dtype(mindspore.dtype): The desired datatype of returned tensor. Only float16, float32 and float64 is allowed.
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Default: mstype.float32.
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Inputs:
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- **window_length** (Tensor) - The size of returned window, with data type int32, int64.
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The input data should be an integer with a value of [0, 1000000].
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Outputs:
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A 1-D tensor of size "window_length" containing the window. Its datatype is set by the attr 'dtype'.
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Raises:
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TypeError: If "window_length" is not a Tensor.
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TypeError: If the type of "window_length" is not one of: int32, int64.
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TypeError: If "periodic" is not a bool.
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TypeError: If "dtype" is not one of: float16, float32, float64.
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ValueError: If the value range of "window_length" is not [0,1000000].
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ValueError: If the dimension of "window_length" is not 0.
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Refer to :func:`mindspore.ops.bartlett_window` for more details.
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Supported Platforms:
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``GPU``
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