Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[xdoctest] reformat example code with google style in No. 201 #56472

Merged
merged 7 commits into from
Aug 30, 2023
Merged

[xdoctest] reformat example code with google style in No. 201 #56472

Changes from 4 commits
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
70e1c6a
xdoc
Liyulingyue Aug 20, 2023
d289c48
Update python/paddle/tensor/einsum.py
Liyulingyue Aug 20, 2023
cabdbaf
Update einsum.py
Liyulingyue Aug 20, 2023
4d62849
Apply suggestions from code review
Liyulingyue Aug 20, 2023
63f1cdb
Merge branch 'PaddlePaddle:develop' into xdocnew_1
Liyulingyue Aug 28, 2023
dfa0a84
Update einsum.py
Liyulingyue Aug 28, 2023
cc01e4c
Apply suggestions from code review
Liyulingyue Aug 29, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
131 changes: 64 additions & 67 deletions python/paddle/tensor/einsum.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -953,73 +953,70 @@ def einsum(equation, *operands):
Examples:
.. code-block:: python

import paddle
paddle.seed(102)
x = paddle.rand([4])
y = paddle.rand([5])

# sum
print(paddle.einsum('i->', x))
# Tensor(shape=[], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# 1.95791852)

# dot
print(paddle.einsum('i,i->', x, x))
# Tensor(shape=[], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# 1.45936954)

# outer
print(paddle.einsum("i,j->ij", x, y))
# Tensor(shape=[4, 5], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [[0.00079869, 0.00120950, 0.00136844, 0.00187187, 0.00192194],
# [0.23455200, 0.35519385, 0.40186870, 0.54970956, 0.56441545],
# [0.11773264, 0.17828843, 0.20171674, 0.27592498, 0.28330654],
# [0.32897076, 0.49817693, 0.56364071, 0.77099484, 0.79162055]])

A = paddle.rand([2, 3, 2])
B = paddle.rand([2, 2, 3])

# transpose
print(paddle.einsum('ijk->kji', A))
# Tensor(shape=[2, 3, 2], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [[[0.95649719, 0.49684682],
# [0.80071914, 0.46258664],
# [0.49814570, 0.33383518]],
#
# [[0.07637714, 0.29374704],
# [0.51470858, 0.51907635],
# [0.99066722, 0.55802226]]])

# batch matrix multiplication
print(paddle.einsum('ijk, ikl->ijl', A,B))
# Tensor(shape=[2, 3, 3], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [[[0.32172769, 0.50617385, 0.41394392],
# [0.51736701, 0.49921003, 0.38730967],
# [0.69078457, 0.42282537, 0.30161136]],
#
# [[0.32043904, 0.18164253, 0.27810261],
# [0.50226176, 0.24512935, 0.39881429],
# [0.51476848, 0.23367381, 0.39229113]]])

# Ellipsis transpose
print(paddle.einsum('...jk->...kj', A))
# Tensor(shape=[2, 2, 3], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [[[0.95649719, 0.80071914, 0.49814570],
# [0.07637714, 0.51470858, 0.99066722]],
#
# [[0.49684682, 0.46258664, 0.33383518],
# [0.29374704, 0.51907635, 0.55802226]]])

# Ellipsis batch matrix multiplication
print(paddle.einsum('...jk, ...kl->...jl', A,B))
# Tensor(shape=[2, 3, 3], dtype=float32, place=CUDAPlace(0), stop_gradient=True,
# [[[0.32172769, 0.50617385, 0.41394392],
# [0.51736701, 0.49921003, 0.38730967],
# [0.69078457, 0.42282537, 0.30161136]],
#
# [[0.32043904, 0.18164253, 0.27810261],
# [0.50226176, 0.24512935, 0.39881429],
# [0.51476848, 0.23367381, 0.39229113]]])
>>> import paddle
>>> paddle.seed(102)
>>> x = paddle.rand([4])
>>> y = paddle.rand([5])

>>> # sum
>>> # doctest: +SKIP('The paddle.seed cannot provide fixed results.')
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

这里结果不确定？我在 aistudio 和本地的结果都是这个，你那边是多少？

>>> print(paddle.einsum('i->', x))
Tensor(shape=[], dtype=float32, place=Place(cpu), stop_gradient=True,
1.81225157)

>>> # dot
>>> print(paddle.einsum('i,i->', x, x))
Tensor(shape=[], dtype=float32, place=Place(cpu), stop_gradient=True,
1.81225157)
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

这是抄的上面的？


>>> # outer
>>> print(paddle.einsum("i,j->ij", x, y))
Tensor(shape=[4, 5], dtype=float32, place=Place(cpu), stop_gradient=True,
[[0.26443148, 0.05962684, 0.25360870, 0.21900642, 0.56994802],
[0.20955276, 0.04725220, 0.20097610, 0.17355499, 0.45166403],
[0.35836059, 0.08080698, 0.34369346, 0.29680005, 0.77240014],
[0.00484230, 0.00109189, 0.00464411, 0.00401047, 0.01043695]])

>>> A = paddle.rand([2, 3, 2])
>>> B = paddle.rand([2, 2, 3])

>>> # transpose
>>> print(paddle.einsum('ijk->kji', A))
Tensor(shape=[2, 3, 2], dtype=float32, place=Place(cpu), stop_gradient=True,
[[[0.50882483, 0.56067896],
[0.84598064, 0.36310029],
[0.55289471, 0.33273944]],
[[0.04836850, 0.73811269],
[0.29769155, 0.28137168],
[0.84636718, 0.67521429]]])

>>> # batch matrix multiplication
>>> print(paddle.einsum('ijk, ikl->ijl', A,B))
Tensor(shape=[2, 3, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
[[[0.36321065, 0.42009076, 0.40849245],
[0.74353045, 0.79189068, 0.81345987],
[0.90488225, 0.79786193, 0.93451476]],
[[0.12680580, 1.06945944, 0.79821426],
[0.07774551, 0.55068684, 0.44512171],
[0.08053084, 0.80583858, 0.56031936]]])

>>> # Ellipsis transpose
>>> print(paddle.einsum('...jk->...kj', A))
Tensor(shape=[2, 2, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
[[[0.50882483, 0.84598064, 0.55289471],
[0.04836850, 0.29769155, 0.84636718]],
[[0.56067896, 0.36310029, 0.33273944],
[0.73811269, 0.28137168, 0.67521429]]])

>>> # Ellipsis batch matrix multiplication
>>> print(paddle.einsum('...jk, ...kl->...jl', A,B))
Tensor(shape=[2, 3, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
[[[0.36321065, 0.42009076, 0.40849245],
[0.74353045, 0.79189068, 0.81345987],
[0.90488225, 0.79786193, 0.93451476]],
[[0.12680580, 1.06945944, 0.79821426],
[0.07774551, 0.55068684, 0.44512171],
[0.08053084, 0.80583858, 0.56031936]]])

"""
import os
Expand Down