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by NTDXYG JavaScript Version: Current License: No License

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kandi X-RAY | bishe Summary

bishe is a JavaScript library. bishe has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

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Support

Quality

Security

License

Reuse

Support

bishe has a low active ecosystem.

It has 9 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

bishe has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of bishe is current.

Quality

bishe has no bugs reported.

Security

bishe has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

bishe does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

bishe releases are not available. You will need to build from source code and install.

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bishe Key Features

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bishe Examples and Code Snippets

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Community Discussions

Trending Discussions on bishe

HQL cannot query JSON data

Input to reshape is a tensor with 89401 values, but the requested shape has 268203

QUESTION

HQL cannot query JSON data

Asked 2020-Apr-20 at 12:59

This is a NativeSql work fine: session.createSQLQuery(select json_length(fav_goods) from customer where id=1).uniqueResult()

But if I change it to HQL like this follow ,it well raised a Error session.createQuery(select json_length(favGoods) from CustomerEntity where id=1).uniqueResult()

error

...

ANSWER

Answered 2020-Apr-20 at 12:59

JPQL (or HQL) does not support JSON Functions.

Please find all supported functions here:

https://docs.jboss.org/hibernate/orm/5.4/userguide/html_single/Hibernate_User_Guide.html#hql-functions

You have to stick with SQL.

Source https://stackoverflow.com/questions/61323054

QUESTION

Input to reshape is a tensor with 89401 values, but the requested shape has 268203

Asked 2018-Jan-13 at 02:54

When retraining inception_v3 network, i create TFrecorde file with images (all are jpeg encoding) of shape [299,299] for training data. I just only get step=0 result, then i get error as follow.

tensorflow.python.framework.errors_impl.InvalidArgumentError: Input to reshape is a tensor with 89401 values, but the requested shape has 268203

[[Node: Reshape = Reshape[T=DT_UINT8, Tshape=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](DecodeRaw, Reshape/shape)]]

89401=299x299, 268023 = 299x299x3. My create TFrecorde code is:

...

ANSWER

Answered 2018-Jan-13 at 02:54

It's my fault. When I paste trace log, i paste another error log. Luckily, i fixed upwards errors.

Input to reshape is a tensor with 89401 values, but the requested shape has 268203

deleting black images of my train data
misuse tensor as numpy, or misuse numpy as tensor, find it, correct it.

Did you mean to set reuse=True or reuse=tf.AUTO_REUSE in VarScope?

If reuse=Flase, getting step=0 result. Then weight & bias exist next step, so get the error Did you mean to set reuse=True or reuse=tf.AUTO_REUSE in VarScope?

If reuse=True, you will get uninitialized wight&bias error, because wight&bias not exist at the first step

When i set resue=tf.AUTO_REUSE, i success:

Source https://stackoverflow.com/questions/48219112

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install bishe

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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