haq | CVPR 2019 , Oral ] HAQ : Hardware-Aware Automated Quantization | Compression library

 by   mit-han-lab Python Version: Current License: MIT

kandi X-RAY | haq Summary

kandi X-RAY | haq Summary

haq is a Python library typically used in Utilities, Compression, Deep Learning, Pytorch applications. haq has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This repo contains PyTorch implementation for paper HAQ: Hardware-Aware Automated Quantization with Mixed Precision (CVPR2019, oral).
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              haq has a low active ecosystem.
              It has 324 star(s) with 82 fork(s). There are 23 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 14 open issues and 7 have been closed. On average issues are closed in 2 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of haq is current.

            kandi-Quality Quality

              haq has 0 bugs and 0 code smells.

            kandi-Security Security

              haq has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              haq code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              haq is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              haq releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              haq saves you 1356 person hours of effort in developing the same functionality from scratch.
              It has 3037 lines of code, 204 functions and 19 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed haq and discovered the below as its top functions. This is intended to give you an instant insight into haq implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Update the statistics
            • Calculate the CUDA
            • Uses kmeans to update the weight matrix
            • Builds the state embedding layer
            • Measure the output of a layer
            • Measure the model
            • Return the name of a layer
            • Quantize a model
            • Compute k - means clustering
            • Reconstruct weight from k - means results
            • Create a list of layers
            • A convolutional convolutional layer
            • Finalize an episode
            • Append a reward
            • Creates a MobileNetV2 model
            • Sample the model
            • Adjust learning rate
            • Get a dataset
            • Append a list of numbers to the file
            • Sets the fixed weight of the model
            • Set weights of module
            • Save checkpoint to file
            • Evaluate the model
            • Get the most recent observation
            Get all kandi verified functions for this library.

            haq Key Features

            No Key Features are available at this moment for haq.

            haq Examples and Code Snippets

            No Code Snippets are available at this moment for haq.

            Community Discussions

            QUESTION

            Calculate the average of the lowest n percentile
            Asked 2022-Feb-22 at 07:17

            I have the following dataset. I want to find the average run of the lower 20 percentile. For example: If I divide the runs column into 5 batches then the first two rows will be in the 20 percentile. So the average run of these two rows will be (1+2)/2 = 1.5 How do I divide the data frame into 5 batches (with sorting) and then find the average of that specific group?

            I have tried using the following but the output shows 2.8 instead of 3

            ...

            ANSWER

            Answered 2022-Feb-22 at 07:17

            QUESTION

            How to extract a range of years and generate new rows given a pair of dates
            Asked 2021-Oct-22 at 06:01

            I have two data frames that I would eventually like to merge in order to compare differences between alternative spellings of leader names.

            My first dataframe looks something like the following:

            ...

            ANSWER

            Answered 2021-Oct-22 at 06:01

            QUESTION

            TypeScript: Make properties allowed on object depend on values in other property array
            Asked 2021-Sep-02 at 07:05

            Say I have a generic type that takes a parameter:

            ...

            ANSWER

            Answered 2021-Sep-02 at 07:05

            First of all, it is impossible to do something like this in this case without extra generic parameter:

            Source https://stackoverflow.com/questions/68726766

            QUESTION

            How to Serialize objects of same type within an object?
            Asked 2020-Sep-06 at 20:21

            I want to structure/convert the the following JSON snippet into Kotlin data class such that I can use that in further representation. Sort of expecting list of players and each object to be a player, right now I'm finding it difficult to serialize such cases of same type.

            ...

            ANSWER

            Answered 2020-Sep-06 at 20:21

            The API you are consuming is a bit out of standard but you can map Players field to a Map like:

            Source https://stackoverflow.com/questions/63765697

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

            Vulnerabilities

            No vulnerabilities reported

            Install haq

            You can download it from GitHub.
            You can use haq like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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