معرفی شرکت ها
apache-tvm-0.9.0
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Tensor learning compiler binary distribution
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | apache-tvm-0.9.0 |
| نام | apache-tvm |
| نسخه کتابخانه | 0.9.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Apache TVM |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | https://tlcpack.ai |
| آدرس اینترنتی | https://pypi.org/project/apache-tvm/ |
| مجوز | Apache |
<!--- Licensed to the Apache Software Foundation (ASF) under one -->
<!--- or more contributor license agreements. See the NOTICE file -->
<!--- distributed with this work for additional information -->
<!--- regarding copyright ownership. The ASF licenses this file -->
<!--- to you under the Apache License, Version 2.0 (the -->
<!--- "License"); you may not use this file except in compliance -->
<!--- with the License. You may obtain a copy of the License at -->
<!--- http://www.apache.org/licenses/LICENSE-2.0 -->
<!--- Unless required by applicable law or agreed to in writing, -->
<!--- software distributed under the License is distributed on an -->
<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -->
<!--- KIND, either express or implied. See the License for the -->
<!--- specific language governing permissions and limitations -->
<!--- under the License. -->
<img src=https://raw.githubusercontent.com/apache/tvm-site/main/images/logo/tvm-logo-small.png width=128/> Open Deep Learning Compiler Stack
==============================================
[Documentation](https://tvm.apache.org/docs) |
[Contributors](CONTRIBUTORS.md) |
[Community](https://tvm.apache.org/community) |
[Release Notes](NEWS.md)
[](https://ci.tlcpack.ai/job/tvm/job/main/)
[](https://github.com/apache/tvm/actions?query=workflow%3AWinMacBuild)
Apache TVM is a compiler stack for deep learning systems. It is designed to close the gap between the
productivity-focused deep learning frameworks, and the performance- and efficiency-focused hardware backends.
TVM works with deep learning frameworks to provide end to end compilation to different backends.
License
-------
TVM is licensed under the [Apache-2.0](LICENSE) license.
Getting Started
---------------
Check out the [TVM Documentation](https://tvm.apache.org/docs/) site for installation instructions, tutorials, examples, and more.
The [Getting Started with TVM](https://tvm.apache.org/docs/tutorial/introduction.html) tutorial is a great
place to start.
Contribute to TVM
-----------------
TVM adopts apache committer model, we aim to create an open source project that is maintained and owned by the community.
Check out the [Contributor Guide](https://tvm.apache.org/docs/contribute/).
Acknowledgement
---------------
We learned a lot from the following projects when building TVM.
- [Halide](https://github.com/halide/Halide): Part of TVM's TIR and arithmetic simplification module
originates from Halide. We also learned and adapted some part of lowering pipeline from Halide.
- [Loopy](https://github.com/inducer/loopy): use of integer set analysis and its loop transformation primitives.
- [Theano](https://github.com/Theano/Theano): the design inspiration of symbolic scan operator for recurrence.
نیازمندی
| مقدار | نام |
|---|---|
| - | attrs |
| - | cloudpickle |
| - | decorator |
| - | numpy |
| - | psutil |
| - | scipy |
| ==0.6.0 | synr |
| - | tornado |
| - | typing-extensions |
| - | attrs |
| - | cloudpickle |
| - | coremltools |
| - | decorator |
| ==3.5.0 | ethos-u-vela |
| - | future |
| ==2.10.0 | h5py |
| - | numpy |
| - | onnx |
| - | onnxoptimizer |
| - | onnxruntime |
| - | opencv-python |
| - | paddlepaddle |
| - | progressbar |
| - | protobuf |
| - | psutil |
| - | scikit-image |
| - | scipy |
| - | six |
| ==0.6.0 | synr |
| - | tensorflow |
| - | tensorflow-estimator |
| - | tflite |
| - | torch |
| - | torchvision |
| - | tornado |
| - | typing-extensions |
| <1.6.0,>=1.1.0 | xgboost |
| - | astroid |
| - | autodocsumm |
| ==20.8b1 | black |
| >=0.7.3 | commonmark |
| - | cpplint |
| <0.17 | docutils |
| - | image |
| - | matplotlib |
| - | pillow |
| - | pylint |
| - | sphinx |
| - | sphinx-autodoc-annotation |
| - | sphinx-gallery |
| - | sphinx-rtd-theme |
| - | types-psutil |
| ==3.5.0 | ethos-u-vela |
| - | numpy |
| - | protobuf |
| - | scikit-image |
| - | six |
| - | future |
| - | torch |
| - | coremltools |
| - | opencv-python |
| - | tensorflow |
| - | tensorflow-estimator |
| - | future |
| - | onnx |
| - | onnxoptimizer |
| - | onnxruntime |
| - | torch |
| - | torchvision |
| - | paddlepaddle |
| - | future |
| - | torch |
| - | torchvision |
| - | tensorflow |
| - | tensorflow-estimator |
| - | tensorflow |
| - | tensorflow-estimator |
| - | tflite |
| ==3.5.0 | ethos-u-vela |
| - | future |
| - | onnx |
| - | onnxoptimizer |
| - | onnxruntime |
| - | paddlepaddle |
| - | tensorflow |
| - | tflite |
| - | torch |
| - | torchvision |
| <1.6.0,>=1.1.0 | xgboost |
| ==2.10.0 | h5py |
| - | progressbar |
| - | future |
| - | torch |
| <1.6.0,>=1.1.0 | xgboost |
نحوه نصب
نصب پکیج whl apache-tvm-0.9.0:
pip install apache-tvm-0.9.0.whl
نصب پکیج tar.gz apache-tvm-0.9.0:
pip install apache-tvm-0.9.0.tar.gz