Comments (5)
Chainer v2.1.0 source code says it won't work with Python 3.5.0, so I guess the latest working Python 3.x would be 3.4.8.
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I think you can use Python 3.x.
Which code causes problems in v3?
Actually I don't use Python 3.x.
Could you tell me your opinion?
from deep-crf.
@tianjianjiang I confirmed that Chainer v.2.1.0 and v1.24.0 source codes say it won't work with Python 3.5.0.
https://github.com/chainer/chainer/blob/7ce9222db1b47e9a48827c3fe432305eef18f6b3/setup.py#L13-L17
https://github.com/chainer/chainer/blob/cfde882b8ceef7c5113a3a3c899922d29aacd631/setup.py#L13-L17
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Accoding to the manual, Chainer supports Python 2.7.6+, 3.4.3+, 3.5.1+, 3.6.0+.
See
- https://docs.chainer.org/en/v1.24.0/install.html
- https://docs.chainer.org/en/v2.1.0/install.html
- chainer/chainer#4304
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I've tested with 3.5.2
and 3.6.3
, seems working, but with one caveat: for unknown reason (I didn't investigate further), pip(3.5|3.6) chainer==2.1.0
didn't check the compatible version of cupy
, which should be 1.0.3
. The pip
of 3.4.8
and 2.7.12
, however, verified this dependency correctly.
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Related Issues (20)
- What is --dev_file option? HOT 1
- Fix typo in bi_lstm.py HOT 1
- Trained models HOT 1
- Simplify option of the predict command
- Enable combination of input data and prediction result HOT 2
- Will it support Chainer v3.0.0? HOT 2
- Chainer utils use deprecated methods
- Make stdin and stdout available for prediction HOT 2
- TypeError: coercing to Unicode: need string or buffer, list found HOT 4
- Supported tag format HOT 2
- TypeError: object of type 'int' has no len() HOT 15
- ValueError: need more than 1 value to unpack HOT 6
- ValueError: not enough values to unpack (expected 2, got 0) HOT 1
- What is the required packages with version ? HOT 3
- ValueError: Invalid input feature sizes HOT 4
- ValueError: need more than 0 values to unpack HOT 17
- Please add (back) an optional `deterministic` argument for CNN
- ModuleNotFoundError: No module named 'deepcrf'
- --dev HOT 2
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