numpy triu indices

Give a numpy array, this is an easy operation using numpy.triu_indices(N, k=0) where N is the size of the square array: In [28]: B = np.array([[4, 0, 3], [2, 4, -2], [-2, -3, 7]]) In [29]: B[np.triu_indices(B.shape[0])] Out[29]: array([ 4, 0, 3, 4, -2, 7]) The B.shape[0] is just there in case you don't want to hard code the size of the array (3). You can rate examples to help us improve the quality of examples. This is a tracker issue that lists the remaining numpy. numpy.triu. Parameters. 인덱스는 정사각형 배열에 유효합니다. These examples are extracted from open source projects. numpy.triu_indices返回函数的上三角矩阵numpy.triu_indices(n,k=0,m=None)[source]Return the indices for the upper-triangle of an (n, m) array.Parameters: n : intThe size of the arrays for which the returned indic. idx = np.transpose(np.triu_indices(5, 1)) but built-in, and a few times faster for N above ~20: k : int, optional. ¶. 4️⃣. Python Examples of numpy.triu - ProgramCreek.com numpy.mask_indices — NumPy v1.8 Manual Parameters. jax.numpy.flatnonzero¶ jax.numpy. mask_indices (n, mask_func, k = 0) [source] ¶ Return the indices to access (n, n) arrays, given a masking function. Upper triangle of an array. ¶. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. Reproducing code example: import numpy as np def tril_indices(. numpy.triu、numpy.triu_indices、np.triu_indices_from函数使用 ... Here, a is the length (int), and first and second are the two output arrays The column dimension of the arrays for which the returned arrays will be valid. Returns the upper triangular part of a matrix (2-D tensor) or batch of matrices input, the other elements of the result tensor out are set . The size of the arrays for which the returned indices will be valid. Diagonal offset (see triu for details). numpy.take¶ numpy.take(a, indices, axis=None, out=None, mode='raise') [source] ¶ Take elements from an array along an axis. The following are 30 code examples for showing how to use numpy.ndindex () . Original docstring below. Diagonal offset (see triu for details). By default, `M` is taken equal to `N`. The JAX DeviceArray is the core array object in JAX: you can think of it as the equivalent of a numpy.ndarray backed by a memory buffer on a single device. Assume mask_func is a function that, for a square array a of size (n, n) with a possible offset argument k, when called as mask_func(a, k) returns a new array with zeros in certain locations (functions like triu or tril do precisely this). The returned tuple contains two arrays, each with the indices along one dimension of the array. These are the top rated real world Python examples of numpy.triu_indices_from extracted from open source projects. numpy.tril_indices. ¶. add (x1, x2) ¶ Add arguments element-wise. k : int, optional. arr (array_like) - Values are appended to a copy of this array.. values (array_like) - These values are appended to a copy of arr.It must be of the correct shape (the same shape as arr, excluding axis). By default m is taken equal to n. The JAX version adds the optional size argument which specifies the size of the output arrays . numpy. For example, we can use the triu function to create a boolean mask with True values above the main diagonal and use this mask when plotting a correlation heatmap. ¶. NumPy. For details, see the Google Developers Site Policies. Number of columns in the array. The row dimension of the arrays for which the returned indices will be valid. Diagonal offset (see tril for details). JAX DeviceArray¶. numpy.triu_indices_from¶ numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of arr. Thomas numpy.tril_indices. jax.numpy.add¶ jax.numpy. tf.experimental.numpy.triu ( m, k=0 ) See the NumPy documentation for numpy.triu. numpy.mask_indices¶ numpy. Returns: Assume mask_func is a function that, for a square array a of size (n, n) with a possible offset argument k, when called as mask_func(a, k) returns a new array with zeros in certain locations (functions like triu or tril do precisely this). Returns: - The indices will be valid for square arrays. Try numpy.triu (triangle-upper) and numpy.tril (triangle-lower). LAX-backend implementation of add().. Original docstring below. mask_func : [callable] A function whose call signature is similar to that of triu, tril. jax.numpy.append¶ jax.numpy. Parameters. k ( int, optional) - Diagonal offset (see triu for details). numpy.triu () function. See tril_indices for full details. Parameters: arr : ndarray, shape (N, N) The indices will be valid for square arrays. Return the indices for the lower-triangle of an (n, m) array. torch.triu_indices(row, col, offset=0, *, dtype=torch.long, device='cpu', layout=torch.strided) → Tensor. numpy.mask_indices() function return the indices to access (n, n) arrays, given a masking function. New in version 1.9.0. In addition to the original NumPy arguments listed below, also supports precision for extra control over matrix-multiplication precision on supported devices. triu_indices_from (arr, k=0) [source] ¶. numpy.tril_indices_from¶ numpy.tril_indices_from(arr, k=0) [source] ¶ Return the indices for the lower-triangle of arr. To extract the upper triangle values to a flat vector, you can do something like the following: triu_indices ( 4 , 2 ) tril. Diagonal above which to zero elements. The row dimension of the arrays for which the returned indices will be valid. See triu_indices for full details. The column dimension of the arrays for which the returned arrays will be valid. numpy.mask_indices numpy.mask_indices(n, mask_func, k=0)[source] Return the indices to access (n, n) arrays, given a masking function. * namespace.. tril, triu. m : [int, optional] The column dimension of the arrays for which the returned arrays will be valid. numpy. See tril_indices for full details. Parameters: arr : ndarray, shape (N, N) The indices will be valid for square arrays. TensorFlow variant of NumPy's triu. So mat doesn't require_grad when it is instantiated, but only indirectly when you assign elements requiring grad to it. . New in version 1.9.0. x1 (array_like) - The arrays to be added.If x1.shape!= x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).. x2 (array_like) - The arrays to be added.If x1.shape!= x2.shape, they must be broadcastable . The following are 30 code examples for showing how to use numpy.tril_indices().These examples are extracted from open source projects. Numpy. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. idx = comb_index(5, 2) from HYRY's answer is equivalent to . np.nonzero seems rather slow compared to other methods I've tested. Best regards. numpy.tril_indices. The code snippet below is the unvectorized version of the code I came up with. numpy.triu_indices. Notes. To extract the upper triangle values to a flat vector, you can do something like the following: k : [int, optional] Diagonal offset. Return the indices for the upper-triangle of an (n, m) array. einsum (* operands, out = None, optimize = 'optimal', precision = None, _use_xeinsum = False) [source] ¶ Evaluates the Einstein summation convention on the operands. LAX-backend implementation of triu_indices (). k : int, optional. When r = k = 2, you can also use numpy.triu_indices(n, 1) which indexes upper triangle of a matrix. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. arrndarray, shape (N, N) The indices will be valid for square arrays. numpy.triu_indices_from numpy.triu_indices_from(arr, k=0) [source] Return the indices for the upper-triangle of arr. numpy.tril_indices. numpy.triu_indices. * functions in cupy. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. Syntax : numpy.mask_indices(n, mask_func, k = 0) Parameters : n : [int] The returned indices will be valid to access arrays of shape (n, n). 자세한 내용은 triu_indices 를 참조 하십시오.. Parameters 도착 ndarray, 형상 (N, N). k : [scalar] An optional argument which is passed through to mask . append (arr, values, axis = None) [source] ¶ Append values to the end of an array. numpy.mask_indices numpy.mask_indices(n, mask_func, k=0) [source] Return the indices to access (n, n) arrays, given a masking function. See triu_indices for full details. jax.numpy.einsum¶ jax.numpy. E' particolarmente utile per eseguire calcoli su vettori e matrici. numpy.triu_indices ¶. Also one can get the requested indices by simply unziping the answer, ie. By default m is . Return the indices for the upper-triangle of an (n, m) array. Return the indices for the lower-triangle of an (n, m) array. The triu () function is defined under numpy, which can be imported as import numpy . numpy.triu ¶. triu. Returns the indices of the lower triangular part of a row-by- col matrix in a 2-by-N Tensor, where the first row contains row coordinates of all indices and the second row contains column coordinates. numpy.triu(a, k = 0) : Returns copy of array with upper part of the triangle w.r.t k Parameters : a : input array k : [int, optional, 0 by default] Diagonal we require; k>0 means diagonal above main diagonal or vice versa. numpy.triu、numpy.triu_indices、np.triu_indices_from函数使用 歌者And贰向箔 2021-01-07 21:11:12 680 收藏 6 分类专栏： 工具 文章标签： numpy python 数据分析 Compute two different sets of indices to access 4x4 arrays, one for the upper triangular part starting at the main diagonal, and one starting two diagonals further right: >>> iu1 = np . Return a copy of an array with the elements below the k -th diagonal zeroed. Syntax : np.triu_indices (n, m) Return : Return the indices for the upper triangle. Come installare numpy su python. Try numpy.triu (triangle-upper) and numpy.tril (triangle-lower). The size of the arrays for which the returned indices will be valid. Parameters: n : int. Implement GPU version of numpy. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. The default is 0. dtype : dtype, optional. Returns: You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. The triu () function is used to get a copy of a matrix with the elements below the k-th diagonal zeroed. Diagonal offset (see tril for details). numpy.triu_indices ¶. @EricKightley What np.triu_indices returns is a 2 element tuple, holding two arrays, one for indexing the rows, another for the columns.np.vstack needs a tuple (or list) of arrays to stack, so by adding the single element tuple (adjmat[indices,) to the indices tuple, we concatenate them and create a three element tuple, that gets stacked, and then transposed to fit your original output. Diagonal offset (see triu for details). Examples. See triu_indices for full details. Returns. New in version 1.4.0. Syntax : numpy.tril_indices(n, k = 0, m = None) Parameters : n : [int] The row dimension of the arrays for which the returned indices will be valid. numpy.triu_indices_from¶ numpy.triu_indices_from(arr, k=0) [source] ¶ Return the indices for the upper-triangle of a (N, N) array. Indices are ordered based on rows and . Two things to note, this needs numpy 1.4 which is currently not the standard on Ubuntu. The sub-diagonal at and below which the array is filled. numpy.tril_indices_from¶ numpy.tril_indices_from(arr, k=0) [source] ¶ Return the indices for the lower-triangle of arr. k int, optional. The row dimension of the square arrays for which the returned indices will be valid. numpy.triu_indices_from(arr, k=0) [source] ¶. Python numpy.triu_indices() Examples The following are 30 code examples for showing how to use numpy.triu_indices(). np.triu / np.tril. `k` = 0 is the main diagonal, while `k` < 0 is below it, and `k` > 0 is above. Return the indices for the upper-triangle of an (n, m) array. Please refer to the documentation for tril for further details. ¶. numpy.triu_indices_from(arr, k=0) [source] ¶. The returned tuple contains two arrays, each with the indices along one dimension of the array. LAX-backend implementation of append().. By default m is taken equal to n. numpy.triu_indices. numpy.mask_indices¶ numpy.mask_indices (n, mask_func, k=0) [source] ¶ Return the indices to access (n, n) arrays, given a masking function. Returns: Return the indices for the upper-triangle of arr. Diagonal offset (see tril for details). The main data structure in NumCpp is the NdArray. triu_indices ( 4 ) >>> iu2 = np . numpy.tril_indices numpy.tril_indices(n, k=0, m=None) [source] Return the indices for the lower-triangle of an (n, m) array. These examples are extracted from open source projects. kint, optional. Return a copy of a matrix with the . None of the x.at expressions modify the original x; instead they return a modified copy of x.However, inside a jit() compiled function, expressions like x = x.at[idx].set(y) are guaranteed to be applied in-place.. The indices for the triangle. Diagonal offset (see triu for details).. Returns The column dimension of the arrays for which the returned arrays will be valid. Demo zip(*numpy.triu_indices(X)). See triu_indices for full details. Parameters: arr : ndarray, shape (N, N) The indices will be valid for square arrays. The column dimension of the arrays for which the returned arrays will be valid. The returned tuple contains two arrays, each with the indices along one dimension of the array. New in version 1.9.0. There is also a DataCube class that is provided as a convenience container for storing an array of 2D NdArray s, but it has limited usefulness past a simple container. numpy print option np . Diagonal offset (see triu for details). Diagonal offset (see triu for details). The indices for the triangle. NumCpp. numpy.mask_indices¶ numpy.mask_indices(n, mask_func, k=0) [source] ¶ Return the indices to access (n, n) arrays, given a masking function. Example #1 : In this example we can see that by using np.triu_indices () method, we are able to get the indices for the upper triangle of an [n, m] array by using this method. .. currentmodule:: numpy Generating index arrays.. autosummary:: :toctree: generated/ c_ r_ s_ nonzero where indices ix_ ogrid ravel_multi_index unravel_index diag_indices diag_indices_from mask_indices tril_indices tril_indices_from triu_indices triu_indices_from Indexing-like operations New in version 1.9.0. k : int, optional. numpy.triu(m, k=0) [source] ¶. numpy.tri() (only the 3 first arguments; third argument k must be an integer) numpy.tril() (second argument k must be an integer) numpy.tril_indices() (all arguments must be integer) numpy.tril_indices_from() (second argument k must be an integer) numpy.triu() (second argument k must be an integer) numpy.triu_indices() (all arguments must be . numpy.triu_indices_from(arr, k=0)arr의 상위 삼각에 대한 인덱스를 반환합니다. See triu_indices for full details. numpy.triu_indices_from(arr, k=0) [source] ¶. k : int, optional. See triu_indices for full details. See triu_indices for full details. Data type of the returned array. Unlike NumPy in-place operations such as x[idx] += y, if multiple indices refer to the same location, all updates will be applied (NumPy would only apply the last update, rather than . ¶. Thanks for the answer (Justin and Carnieri). triu_indices_from (arr, k = 0) [source] ¶ Return the indices for the upper-triangle of arr. Like numpy.ndarray, most users will not need to instantiate DeviceArray objects manually, but rather will create them via jax.numpy functions like array(), arange(), linspace(), and others listed above. Compute two different sets of indices to access 4x4 arrays, one for the lower triangular part starting at the main diagonal, and one starting two . ¶. New in version 1.9.0. Upper triangle of an array. The row dimension of the arrays for which the returned indices will be valid. triu_indices_from (arr, k=0) [source] ¶. Diagonal offset (see triu for details). See triu_indices for full details.. Parameters arr ndarray, shape(N, N). Return the indices for the upper-triangle of an (n, n) array. set_printoptions ( precision = 4 , linewidth = 100 ) Posted by Huiming Song Sat 26 September 2015 Python python , data minging , numpy , pandas Assume mask_func is a function that, for a square array a of size (n, n) with a possible offset argument k, when called as mask_func(a, k) returns a new array with zeros in certain locations (functions like triu or tril do precisely this). That works. It is inherently a 2D array class, with 1D arrays being implemented as 1xN arrays. Assume mask_func is a function that, for a square array a of size (n, n) with a possible offset argument k, when called as mask_func(a, k) returns a new array with zeros in certain locations (functions like triu or tril do precisely this). Diagonal offset (see tril for details). Similar to ones_like or zeros_like, these two functions return zeros above or below a certain diagonal of a matrix. The following are 30 code examples for showing how to use numpy.triu_indices_from().These examples are extracted from open source projects. The following are 30 code examples for showing how to use numpy.triu().These examples are extracted from open source projects. Numpy è un modulo del linguaggio python con funzioni scientifiche aggiuntive. Assume mask_func is a function that, for a square array a of size (n, n) with a possible offset argument k, when called as mask_func(a, k) returns a new array with zeros in certain locations (functions like triu or tril do precisely this). * APIs (see also: comparison table).I've categorized them based on difficulty so that new contributors can pick the right task. Original docstring below. n ( int) - The size of the arrays for which the returned indices will be valid. LAX-backend implementation of einsum().. Return the indices for the upper-triangle of arr. See also. See triu_indices for full details. # TODO make this act more like a numpy array: from __future__ import division: from numpy import asarray, asmatrix, ones, triu_indices_from, sqrt, zeros: class Triangle (object): """ A sparse representation of the upper triangular portion of a square: matrix (or "array" in the numpy sense), including the diagonal The following are 14 code examples for showing how to use numpy.tril_indices_from().These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. The size of the arrays for which the returned indices will be valid. Return the indices for the upper-triangle of an (n, n) array. Return the indices for the upper-triangle of arr. numpy.tril_indices() function return the indices for the lower-triangle of an (n, m) array. import numpy as np. Return the indices for the upper-triangle of arr. k = 0 (the default) is the main diagonal, k < 0 is below it and k > 0 is above. The size of the arrays for which the returned indices will be valid. Return the indices for the lower-triangle of an (n, n) array. Return the indices for the lower-triangle of an (n, m) array. I would like to implement numpy.triu_indices(a, 1)(note that the second argument is 1) in c++ with avx intrinsics. n = 5 mat = torch.zeros(5, 5) vector = torch.randn(10, requires_grad=True) mat[numpy.triu_indices(n, 1)] = vector mat.sum().backward() vector.grad gives the expected vector of 10 ones. Parameters: arr : ndarray, shape (N, N) The indices will be valid for square arrays. Le funzioni della libreria numpy. By default m is taken equal to n. The indices for the triangle. Examples. jax.numpy.triu_indices. numpy.triu_indices. Number of rows in the array. This function does the same thing as "fancy" indexing (indexing arrays using arrays); however, it can be easier to use if you need elements along a given axis. flatnonzero (a, *, size = None) [source] ¶ Return indices that are non-zero in the flattened version of a. LAX-backend implementation of flatnonzero().. Because the size of the output of nonzero is data-dependent, the function is not typically compatible with JIT. Returns : numpy.tril_indices ¶. New in version 1.9.0. The column dimension of the arrays for which the returned arrays will be valid. NumPy配列ndarrayから上三角行列を抽出（取得）: numpy.triu() numpy.triu()の引数にnumpy.ndarrayを指定すると、対角線より下の成分を0としたnumpy.ndarrayが返される。 numpy.triu — NumPy v1.17 Manual You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. numpy.triu_indices_from¶ numpy. Diagonal offset (see triu for details). Diagonal offset (see triu for details). You may check out the related API usage on . Returns the indices of the upper triangular part of a row by col matrix in a 2-by-N Tensor, where the first row contains row coordinates of all indices and the second row contains column coordinates. ¶. Python triu_indices_from - 30 examples found. Return the indices for the upper-triangle of arr. Numpy triu () Numpy triu () is an inbuilt function that is used to return a copy of the array matrix with an element of the upper part of the triangle with respect to k. The triu () method takes two parameters and returns the upper triangle of the array matrix. ¶. Diagonal offset (see triu for details). tril_indices and triu_indices uses nonzero to get the indices. The following are 30 code examples for showing how to use numpy.tril().These examples are extracted from open source projects. Import numpy as np def tril_indices ( following are 30 code examples for showing how to numpy.ndindex...: //jax.readthedocs.io/en/latest/jax.numpy.html '' > numpy.mask_indices ( ) - diagonal offset ( see for... Idx = comb_index ( 5, 2 ) from HYRY & # x27 ; particolarmente utile per calcoli... Listed below, also supports precision for extra control over matrix-multiplication precision supported... //Github.Com/Cupy/Cupy/Issues/6078 '' > Python triu_indices_from - 30 examples found source projects values, axis = ). Del linguaggio Python con funzioni scientifiche aggiuntive Site Policies, axis = None ) [ source ] append... Minini < /a > jax.numpy.einsum¶ jax.numpy print option np below the k-th zeroed! S answer is equivalent to us improve the quality of examples with indices! //Het.As.Utexas.Edu/Het/Software/Numpy/Reference/Generated/Numpy.Take.Html '' > Upper Triangular matrix Vectorization - PyTorch Forums < /a numpy.mask_indices¶. //Numpy.Org/Doc/Stable/Reference/Generated/Numpy.Triu_Indices_From.Html '' > torch.triu_indices — PyTorch 1.10.0 documentation < /a > numpy.triu_indices ¶ - diagonal offset ( triu!, k=0 ) [ source ] ¶ triu_indices_from examples, numpy.triu_indices_from... < /a > jax.numpy.einsum¶ jax.numpy: //github.com/cupy/cupy/issues/6078 >... Per eseguire calcoli su vettori e matrici: //jax.readthedocs.io/en/latest/_autosummary/jax.numpy.append.html '' > numpy.mask_indices ( ) function is used to get indices. Particolarmente utile per eseguire calcoli su vettori e matrici I came up with numpy arguments below. 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Equivalent to scientifiche aggiuntive - the size of the arrays for which the returned tuple contains two arrays each. - Generating indices using np.triu_indices - GeeksforGeeks < /a > Python | numpy np.triu_indices GeeksforGeeks! Arr ndarray, 형상 ( N, N ) array that lists the remaining numpy for which returned...: //docs.w3cub.com/numpy~1.17/generated/numpy.tril_indices.html '' > torch.triu_indices — PyTorch 1.10.0 documentation < /a > numpy.triu_indices indices will valid! To ` N ` np.nonzero seems rather slow compared to other methods I & # x27 ; particolarmente per... Option np Python - GeeksforGeeks < /a > numpy.tril_indices ¶ ( see triu for ). Zeros above or below a certain diagonal of a matrix callable ] a function whose call signature is to. Linguaggio Python con funzioni scientifiche aggiuntive numpy triu_indices函数_yeizisn的博客-CSDN博客_triu_indices < /a > numpy an ( N, N ) indices... Usage on example: import numpy as np def tril_indices ( the requested indices by simply unziping answer! Real world Python examples of numpy.triu_indices_from extracted from open source projects m ) array torch — 1.10.0! ] an optional argument which is passed through to mask the quality of examples eseguire calcoli su vettori matrici! Version of the arrays for which the returned arrays will be valid for square.! K=0 ) [ source ] ¶, k = 0 ) [ source ] return..., shape ( N, N ) the indices will be valid ; s answer is equivalent.! 4 ) & gt ; iu2 = np v1.9 Manual < /a > numpy.triu_indices ¶ triu_indices for full..! Two things to note, this needs numpy 1.4 which is currently not the standard on Ubuntu top rated world. Numpy v1.15 Manual < /a > numpy.mask_indices¶ numpy print option np with 1D arrays being implemented 1xN... Equal to ` N ` shape ( N, N ) the indices for the lower-triangle an... Jax.Numpy.Add¶ jax.numpy as np def tril_indices ( further details NumCpp < /a > jax.numpy.einsum¶ jax.numpy numpy.triu ( ) function:. Numpy.Triu_Indices_From¶ numpy ) - numpy 1.17 - W3cubDocs < /a > numpy Andrea. Triu, tril — JAX documentation < /a > jax.numpy.flatnonzero¶ jax.numpy note, this numpy... 5, 2 ) from HYRY & # x27 ; particolarmente utile per eseguire calcoli vettori! Matrix Vectorization - PyTorch Forums < /a > numpy you may check out the related API usage on Python funzioni. Shape ( N, N ) array, this needs numpy 1.4 which is passed through to.. The size of the arrays for which the returned arrays will be valid for square arrays numpy for! Is used to get the requested indices by simply unziping the answer, ie gt ; =! Of numpy.triu_indices_from extracted from open source projects check out the related API usage on href= https! > numpy.mask_indices¶ numpy > JAX DeviceArray¶, ` m ` is taken to. Numpy.Mask_Indices¶ numpy an ( N, N ) the indices will be valid of... E & # x27 ; s answer is equivalent to us improve the quality of.. Documentation for tril for further details the standard on Ubuntu function whose call signature is to..., tril Stack... < /a > numpy.triu ¶ is a tracker issue that lists the numpy...: //docs.w3cub.com/numpy~1.17/generated/numpy.mask_indices.html '' > numpy.tril_indices valid for square arrays for which the returned arrays will be valid square. Optional ] diagonal offset parameters: arr: ndarray, shape ( N m. Inherently a 2D array class, with 1D arrays being implemented as 1xN arrays this needs numpy 1.4 which passed! | numpy np.triu_indices - Stack... < /a > numpy.mask_indices¶ numpy elements below the diagonal. Tracker ] Implement all ` numpy a matrix with the elements below the k-th diagonal zeroed:. Returned indices will be valid for square arrays package — JAX documentation < /a > jax.numpy.einsum¶ jax.numpy related usage! Valid for square arrays e & # x27 ; s answer is equivalent to or,... - Stack... < /a > numpy.triu_indices ¶ values to the end of an ( N, ). Elements below the k-th diagonal zeroed at main · numpy/numpy · GitHub < /a > JAX DeviceArray¶ 1.17... ) array: ndarray, shape ( N, m ) array triu_indices函数_yeizisn的博客-CSDN博客_triu_indices < /a > numpy.mask_indices¶ numpy Vectorization PyTorch. Related API usage on > tril_indices and triu_indices uses nonzero to get a copy of a matrix code!

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