tvm | Open deep learning compiler stack for cpu , gpu | Machine Learning library

 by   apache Python Version: v0.12.0 License: Apache-2.0

kandi X-RAY | tvm Summary

kandi X-RAY | tvm Summary

tvm is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. tvm has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However tvm build file is not available. You can install using 'pip install tvm' or download it from GitHub, PyPI.

Open deep learning compiler stack for cpu, gpu and specialized accelerators

            kandi-support Support

              tvm has a medium active ecosystem.
              It has 9868 star(s) with 3068 fork(s). There are 380 watchers for this library.
              It had no major release in the last 12 months.
              There are 497 open issues and 2489 have been closed. On average issues are closed in 22 days. There are 191 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of tvm is v0.12.0

            kandi-Quality Quality

              tvm has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              tvm is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              tvm releases are available to install and integrate.
              Deployable package is available in PyPI.
              tvm has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              tvm saves you 177984 person hours of effort in developing the same functionality from scratch.
              It has 180683 lines of code, 12501 functions and 1307 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed tvm and discovered the below as its top functions. This is intended to give you an instant insight into tvm implemented functionality, and help decide if they suit your requirements.
            • Implements a gemm_4x4 .
            • Implementation of the gemm implementation .
            • Return a function for the QNNX convolution layer .
            • Performs a common sort .
            • Convert RNN to LSTM .
            • Inject DMAIntrin .
            • Create a conv2d op .
            • Resize 3D image .
            • Encode constants .
            • Create the conversion map .
            Get all kandi verified functions for this library.

            tvm Key Features

            No Key Features are available at this moment for tvm.

            tvm Examples and Code Snippets

            copy iconCopy
            python --root_dir $data_root_dir  --resume checkpoints/ic15_resnet50_bs_4_ep_xxx/checkpoint.pth.tar  --gpus 1 --onnx 1
            class Upsample(OnnxOpConverter):
                """ Operator converter for Upsample (nearest mode).
            Compile darknet on tvm,Run and Testing
            Pythondot img2Lines of Code : 42dot img2no licencesLicense : No License
            copy iconCopy
            import tvm.relay.frontend.yolov3 as yolov3
            import cv2 
            import numpy as np
            test_image = 'test.jpg'
            imagex = cv2.imread(test_image)
            imagex = np.array(imagex)
            config = { 
                'img': imagex,
                'cfg_path': 'yolov3.cfg',
                'weights_path': 'yolov3.wei  
            convert tvm
            Pythondot img3Lines of Code : 31dot img3License : Weak Copyleft (LGPL-3.0)
            copy iconCopy
            def _pad():
                def _impl(inputs, input_types):
                    data = inputs[0]
                    padding = inputs[1]
                    # pad_width = list(zip(padding, padding))
                    pad_v = padding.type_annotation.shape  # change here and next line
                    pad_width = [[0,  

            Community Discussions


            TON-Solidity. How to get hash from data encoded into cell? tvm.hash analogue?
            Asked 2021-Jun-08 at 08:29

            Free TON Solidity. How to get hash from data encoded into cell? tvm.hash() analogue?



            Answered 2021-Jun-08 at 08:29

            Do You need hash of BOC? Check this function

            BOC with one CELL equal to CELL itself.

            In fact BOC starts from root CELL which point to other CELLs.



            Trying to execute django-admin makemessages in windows 10
            Asked 2021-Apr-28 at 11:59

            I´m trying to generate translation file using command django-admin makemessages -l pt-br in Windows 10 but unfortunately the files aren´t generated. Here the steps that I followed:

            1. Installed gettext library from mlocati.
            2. I also tried several options from django i18n: Make sure you have GNU gettext tools , this process is more manual.

            As the result when i run django-admin makemessages -l pt-br looks like that Django is executing something but the directory is not generated in the end.

            Here are some peace of code that I have




            Answered 2021-Apr-28 at 11:59

            After several tryings and options. I found the error in my case.

            If you install any gettext wizard installation some dependences library could not be instaled. (It was my case). According with the post django i18n: Make sure you have GNU gettext tools in the contribution of Far the problem it was fixed.

            According with django documentation, the command "xgettext --version" must be run to enable internationalization command. In my case w64gcc_s_sjlj-1.dll it was out.



            Generate multiple pages pdf in PHP Loop via AJAX using mPDF library
            Asked 2021-Mar-24 at 11:41

            I am developing a plugin that generates various PDFs using AJAX. I have done all but stuck on generating multiple PDFs for each user using the loop.

            I prefer to generate PDF with multiple pages for each user. However, if not possible, then a separate PDF for each user would work as well.

            The below code is generating only one page for probably for the first user in the loop. Then generate one blank page and stop the iteration.

            Please see mPDF Library

            Data ...


            Answered 2021-Mar-24 at 11:41

            I'm not sure if this is the problem. But you are rewriting $markup variable every loop in the foreach with this sentence:



            Running GluonCV object detection model on Android
            Asked 2021-Mar-03 at 20:01

            I need to run a custom GluonCV object detection module on Android.

            I already fine-tuned the model (ssd_512_mobilenet1.0_custom) on a custom dataset, I tried running inference with it (loading the .params file produced during the training) and everything works perfectly on my computer. Now, I need to export this to Android.

            I was referring to this answer to figure out the procedure, there are 3 suggested options:

            1. You can use ONNX to convert models to other runtimes, for example [...] NNAPI for Android
            2. You can use TVM
            3. You can use SageMaker Neo + DLR runtime [...]

            Regarding the first one, I converted my model to ONNX. However, in order to use it with NNAPI, it is necessary to convert it to daq. In the repository, they provide a precomplied AppImage of onnx2daq to make the conversion, but the script returns an error. I checked the issues section, and they report that "It actually fails for all onnx object detection models".

            Then, I gave a try to DLR, since it's suggested to be the easiest way. As I understand, in order to use my custom model with DLR, I would first need to compile it with TVM (which also covers the second point mentioned in the linked post). In the repo, they provide a Docker image with some conversion scripts for different frameworks. I modified the '' script, and now I have:



            Answered 2021-Mar-03 at 10:33

            The error message is self-explanatory - there is no model "ssd_512_mobilenet1.0_custom" supported by You are confusing GluonCV's get_model with MXNet Gluon's get_model.




            Using custom navigation service, how to pass a parameter to the next view model?
            Asked 2020-Dec-23 at 12:24

            I am coming up to speed on Xamarin. I am using "Mastering Xamarin.Forms: App architecture techniques for building multi-platform, native mobile apps with Xamarin.Forms 4, 3rd Edition" as a guide. This had me create a custom navigation service.

            Here is the implementation (I skipped the interface for brevity)



            Answered 2020-Dec-23 at 12:24

            First, you must extend from the parameterized version of BaseViewModel. In your case, since you are passing in a PaymentRequest, this would be:



            Azure Python SDK: 'ServicePrincipalCredentials' object has no attribute 'get_token'
            Asked 2020-Nov-04 at 06:47

            So I have the following Python3 script to list all virtual machines.



            Answered 2020-Sep-27 at 11:16

            The Azure libraries for Python are currently being updated to share common cloud patterns such as authentication protocols, logging, tracing, transport protocols, buffered responses, and retries.

            This would change the Authentication mechanism a bit as well. In the older version, ServicePrincipalCredentials in azure.common was used for authenticating to Azure and creating a service client.

            In the newer version, the authentication mechanism has been re-designed and replaced by azure-identity library in order to provide unified authentication based on Azure Identity for all Azure SDKs. Run pip install azure-identity to get the package.

            In terms of code, what then was:



            Getting an error while trying to input arbitrary number of grouping variables and summary variables using tidy dots in R
            Asked 2020-Sep-17 at 11:57

            I am trying to use tidy dots to build a function that I can use to summarize the data based on the requirement. I need to group by variables using different metrics based on the requirement.

            Sample Data:



            Answered 2020-Sep-17 at 11:57

            You don't need complicated non-standard evaluation if you can pass column names as string, across handles string column names.



            ASP.NET Core : get stored procedure results to a view model
            Asked 2020-Aug-15 at 09:13

            I have a view model called TdetailsVM as below:



            Answered 2020-Aug-15 at 09:13

            If you are using Entity Framework Core, then for calling your stored procedure you can use this line of code.



            Python: Time Value of Money Numpy Functions, Working with Varying Floating Rates
            Asked 2020-Aug-13 at 17:58

            I am not a seasoned programmer, I am pretty new so often when I look up the codes online, the codes tend to be very sophisticated. I am looking for guidance that is simplified and from a POV that I can understand regarding Finance applications.

            I would like to ask about the NumPy functions such as numpy.fv(). I am aware of how to execute this function but ONLY for interest rates that are fixed. I would like to ask what if the rates are floating/varying interest rate?

            For example, ABC deposited $1,000,000 into a bank, the bank pays a floating rate annually as shown: [1.2%, 1%, 1.8%, 1.2%, 0.9%]. What is the total amount ABC will receive after 5 years?

            What I understand is through the use of for-loops and I know how to work this out via Excel but I have been scratching my head around this if the TVM functions may be implemented inside this for-loop to work out the final compounded amount after 5 years?

            Thank you all !



            Answered 2020-Aug-13 at 17:58

            I don't think you really need anything complicated for this:



            PHP How to replace html tags with values
            Asked 2020-Jul-20 at 09:43

            I have thousands of static HTML lines in a text file and I want to keep the "H-number" value that is between a specific HTML tag called "num" and turn it into a link by using PHP. For example, the HTML strings look like this:


            From this I want to get the part H7585 and turn it into something like this keeping the "H-number" value:


            However, all the "H-number" codes like H7585 are different, and they are not inside a PHP variable since everything is a string of HTML text. I have tried the PHP functions preg_match and preg_replace but I can't come up with a solution.

            Something I have tried is this. But I don't know how to get the different H-number values to show or display:

            $string = '...
            - (there are thousands of lines like this though, with different H-number codes).

            $string = preg_replace("/(.+?)<\\/num>/is", "display_value_here", $string);

            $echo $string;

            Would anyone please help me? I would really appreciate it.



            Answered 2020-Jul-20 at 08:29

            You could make use of the DOMDocument API, by creating a document, loading your HTML into it, looking for desired nodes using XPath then replacing them with the newly created link elements:


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


            No vulnerabilities reported

            Install tvm

            You can install using 'pip install tvm' or download it from GitHub, PyPI.
            You can use tvm 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.


            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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