Question

faster alternative to numpy einsum?

score 92 · Answer 1 · 2020-10-06 17:48:23

92

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faster alternative to numpy einsum?

Published on 06 October 2020 at 17:48

score 34 · Answer 2 · 2023-12-13 22:32:59

34

Views

Loss of accuracy when computing a product between 2 tensors?

Published on 13 December 2023 at 22:32

score 64 · Answer 3 · 2020-12-17 07:26:15

64

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numpy non canonical dot product in higher dimension

Published on 17 December 2020 at 07:26

score 301 · Answer 4 · 2020-12-17 21:02:53

301

Views

How would I write numpy.tensordot in c++?

Published on 17 December 2020 at 21:02

score 138 · Answer 5 · 2021-05-01 00:48:26

138

Views

One line einsum functions with "interleaved" output indexing impossible to recreate using tensordot?

Published on 01 May 2021 at 00:48

score 101 · Answer 6 · 2021-05-04 14:54:34

101

Views

Why is trace not preserved in tensordot

Published on 04 May 2021 at 14:54

score 140 · Answer 7 · 2018-11-22 12:20:59

140

Views

Python vectorization of matrix-vector operation

Published on 22 November 2018 at 12:20

score 77 · Answer 8 · 2023-01-20 09:01:53

77

Views

np.tensordot function, how to multiply a tensor by successive slices of another?

Published on 20 January 2023 at 09:01

score 76 · Answer 9 · 2021-01-28 16:42:52

76

Views

Replicating Matrix-Matrix Multiplication using Tensordot

Published on 28 January 2021 at 16:42

score 480 · Answer 10 · 2021-02-15 20:03:40

480

Views

NumPy Tensordot axes=2

Published on 15 February 2021 at 20:03

score 214 · Answer 11 · 2022-06-08 12:57:52

214

Views

Generating an array of arrays in Python

Published on 08 June 2022 at 12:57

score 105 · Answer 12 · 2022-12-08 11:01:57

105

Views

Replicate operation tensor operation using `torch.tensordot()` and `torch.stack()`

Published on 08 December 2022 at 11:01

score 55 · Answer 13 · 2021-09-28 12:55:56

55

Views

Simplifying looped np.tensordot expression

Published on 28 September 2021 at 12:55

score 312 · Answer 14 · 2018-12-11 17:49:53

312

Views

What is the tensordot of this 4D einsum operation?

Published on 11 December 2018 at 17:49

score 622 · Answer 15 · 2019-09-07 02:47:15

622

Views

Most efficient way to perform large dot/tensor dot products while only keeping diagonal entries

Published on 07 September 2019 at 02:47

score 129 · Answer 16 · 2020-05-19 10:52:29

129

Views

tensordot equivalent of numpy-einsum

Published on 19 May 2020 at 10:52

score 225 · Answer 17 · 2021-12-21 18:10:05

225

Views

Is there any way to vectorize a rolling cross-correlation in python based on my example?

Published on 21 December 2021 at 18:10

score 141 · Answer 18 · 2018-06-08 16:40:00

141

Views

Most Pythonic way to multiply these two vectors?

Published on 08 June 2018 at 16:40

score 373 · Answer 19 · 2020-06-12 17:58:16

373

Views

Python: numpy.dot / numpy.tensordot for multidimensional arrays

Published on 12 June 2020 at 17:58

score 2.4k · Answer 20 · 2019-06-26 13:32:12

2.4k

Views

Dot product between two 3D tensors

Published on 26 June 2019 at 13:32

List Question

faster alternative to numpy einsum?

Loss of accuracy when computing a product between 2 tensors?

numpy non canonical dot product in higher dimension

How would I write numpy.tensordot in c++?

One line einsum functions with "interleaved" output indexing impossible to recreate using tensordot?

Why is trace not preserved in tensordot

Python vectorization of matrix-vector operation

np.tensordot function, how to multiply a tensor by successive slices of another?

Replicating Matrix-Matrix Multiplication using Tensordot

NumPy Tensordot axes=2

Generating an array of arrays in Python

Replicate operation tensor operation using `torch.tensordot()` and `torch.stack()`

Simplifying looped np.tensordot expression

What is the tensordot of this 4D einsum operation?

Most efficient way to perform large dot/tensor dot products while only keeping diagonal entries

tensordot equivalent of numpy-einsum

Is there any way to vectorize a rolling cross-correlation in python based on my example?

Most Pythonic way to multiply these two vectors?

Python: numpy.dot / numpy.tensordot for multidimensional arrays

Dot product between two 3D tensors

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