bishe | Graduation design background

 by   NTDXYG JavaScript Version: Current License: No License

kandi X-RAY | bishe Summary

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.

Graduation design background

            kandi-support 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.

            kandi-Quality Quality

              bishe has no bugs reported.

            kandi-Security Security

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

            kandi-License 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.

            kandi-Reuse Reuse

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

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of bishe
            Get all kandi verified functions for this library.

            bishe Key Features

            No Key Features are available at this moment for bishe.

            bishe Examples and Code Snippets

            No Code Snippets are available at this moment for bishe.

            Community Discussions


            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()




            Answered 2020-Apr-20 at 12:59

            JPQL (or HQL) does not support JSON Functions.

            Please find all supported functions here:


            You have to stick with SQL.



            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:



            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

            1. deleting black images of my train data
            2. 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:


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


            No vulnerabilities reported

            Install bishe

            You can download it from GitHub.


            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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