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توضیحات

Python client library for the AMD Inference Server: unified inference across AMD CPUs, GPUs, and FPGAs

ویژگی	مقدار
سیستم عامل	-
نام فایل	amdinfer-0.4.0.dev0
نام	amdinfer
نسخه کتابخانه	0.4.0.dev0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Varun Sharma
ایمیل نویسنده	varun.sharma@amd.com
آدرس صفحه اصلی	https://github.com/Xilinx/inference-server
آدرس اینترنتی	https://pypi.org/project/amdinfer/
مجوز	Apache 2.0

.. Copyright 2021 Xilinx, Inc. Copyright 2022, Advanced Micro Devices, Inc. Licensed 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. AMD Inference Server ==================== The AMD Inference Server is an open-source tool to deploy your machine learning models and make them accessible to clients for inference. Out-of-the-box, the server can support selected models that run on AMD CPUs, GPUs or FPGAs by leveraging existing libraries. For all these models and hardware accelerators, the server presents a common user interface based on community standards so clients can make requests to any using the same API. The server provides HTTP/REST and gRPC interfaces for clients to submit requests. For both, there are C++ and Python bindings to simplify writing client programs. You can also use the server backend directly using the native C++ API to write local applications. Features -------- * Supports client requests using **HTTP/REST, gRPC and websocket protocols** using an API based on `KServe's v2 specification <https://github.com/kserve/kserve/blob/master/docs/predict-api/v2/required_api.md>`__ * Custom applications can directly call the backend bypassing the other protocols using the **native C++ API** * **C++ library with Python bindings** to simplify making requests to the server * Incoming requests are transparently **batched** based on the user specifications * Users can define how many models, and how many instances of each, to **run in parallel** The AMD Inference Server is integrated with the following libraries out of the gate: * TensorFlow and PyTorch models with `ZenDNN <https://developer.amd.com/zendnn/>`__ on AMD CPUs * ONNX models with `MIGraphX <https://github.com/ROCmSoftwarePlatform/AMDMIGraphX>`__ on AMD GPUs * XModel models with `Vitis AI <https://www.xilinx.com/products/design-tools/vitis/vitis-ai.html>`__ on AMD FPGAs * A graph of computation including as pre- and post-processing can be written using `AKS <https://github.com/Xilinx/Vitis-AI/tree/v2.5/src/AKS>`__ on AMD FPGAs for end-to-end inference Learn more ---------- The documentation for the AMD Inference Server is available `online <https://xilinx.github.io/inference-server/>`__. Check out the `Quickstart <https://xilinx.github.io/inference-server/main/quickstart.html>`__ on how to get started. Support ------- Raise issues if you find a bug or need help. Refer to `Contributing <https://xilinx.github.io/inference-server/main/contributing.html>`__ for more information. License ------- The AMD Inference Server is licensed under the terms of Apache 2.0 (see `LICENSE <https://github.com/Xilinx/inference-server/blob/main/LICENSE>`__). The LICENSE file contains additional license information for third-party files distributed with this work. More license information can be seen in the `dependencies <https://xilinx.github.io/inference-server/main/dependencies.html>`__. IMPORTANT NOTICE CONCERNING OPEN-SOURCE SOFTWARE Materials in this release may be licensed by Xilinx or third parties and may be subject to the GNU General Public License, the GNU Lesser General License, or other licenses. Licenses and source files may be downloaded from: * `libamdinfer <https://github.com/Xilinx/inference-server>`__ * `libbrotlicommon <https://rhel.pkgs.org/7/epel-x86_64/libbrotli-1.0.9-10.el7.x86_64.rpm.html>`__ * `libbrotlidec <https://rhel.pkgs.org/7/epel-x86_64/libbrotli-1.0.9-10.el7.x86_64.rpm.html>`__ * `libbrotlienc <https://rhel.pkgs.org/7/epel-x86_64/libbrotli-1.0.9-10.el7.x86_64.rpm.html>`__ * `libcares <https://github.com/c-ares/c-ares/archive/refs/tags/cares-1_14_0.tar.gz>`__ * `libcom_err <https://centos.pkgs.org/7/centos-x86_64/libcom_err-1.42.9-19.el7.x86_64.rpm.html>`__ * `libcrypto <https://centos.pkgs.org/7/centos-x86_64/openssl-devel-1.0.2k-19.el7.x86_64.rpm.html>`__ * `libdrogon <https://github.com/drogonframework/drogon/tree/v1.8.1>`__ * `libefsw <https://github.com/SpartanJ/efsw/tree/6b51944994b5c77dbd7edce66846e378a3bf4d8e>`__ * `libgssapi_krb5 <https://centos.pkgs.org/7/centos-x86_64/krb5-libs-1.15.1-50.el7.x86_64.rpm.html>`__ * `libjsoncpp <https://github.com/open-source-parsers/jsoncpp/tree/1.7.4>`__ * `libk5crypto <https://centos.pkgs.org/7/centos-x86_64/krb5-libs-1.15.1-50.el7.x86_64.rpm.html>`__ * `libkeyutils <https://centos.pkgs.org/7/centos-x86_64/keyutils-1.5.8-3.el7.x86_64.rpm.html>`__ * `libkrb5 <https://centos.pkgs.org/7/centos-x86_64/krb5-devel-1.15.1-50.el7.x86_64.rpm.html>`__ * `libkrb5support <https://centos.pkgs.org/7/centos-x86_64/krb5-devel-1.15.1-50.el7.x86_64.rpm.html>`__ * `libopencv_core <https://github.com/opencv/opencv/tree/3.4.3>`__ * `libopencv_imgcodecs <https://github.com/opencv/opencv/tree/3.4.3>`__ * `libopencv_imgproc <https://github.com/opencv/opencv/tree/3.4.3>`__ * `libossp-uuid <https://centos.pkgs.org/7/centos-x86_64/uuid-devel-1.6.2-26.el7.x86_64.rpm.html>`__ * `libpcre <https://centos.pkgs.org/7/centos-x86_64/pcre-8.32-17.el7.x86_64.rpm.html>`__ * `libprometheus-cpp-core <https://github.com/jupp0r/prometheus-cpp/archive/refs/tags/v0.12.2.tar.gz>`__ * `libprotobuf <https://github.com/protocolbuffers/protobuf/releases/download/v3.19.4/protobuf-cpp-3.19.4.tar.gz>`__ * `libselinux <https://centos.pkgs.org/7/centos-x86_64/libselinux-2.5-15.el7.x86_64.rpm.html>`__ * `libssl <https://centos.pkgs.org/7/centos-x86_64/openssl-devel-1.0.2k-19.el7.x86_64.rpm.html>`__ * `libtrantor <https://github.com/drogonframework/drogon/tree/v1.8.1>`__ Note: You are solely responsible for checking the header files and other accompanying source files (i) provided within, in support of, or that otherwise accompanies these materials or (ii) created from the use of third party software and tools (and associated libraries and utilities) that are supplied with these materials, because such header and/or source files may contain or describe various copyright notices and license terms and conditions governing such files, which vary from case to case based on your usage and are beyond the control of Xilinx. You are solely responsible for complying with the terms and conditions imposed by third parties as applicable to your software applications created from the use of third party software and tools (and associated libraries and utilities) that are supplied with the materials.

نیازمندی

مقدار	نام
-	numpy
-	opencv-python-headless

زبان مورد نیاز

مقدار	نام
>=3.6	Python

نحوه نصب

نصب پکیج whl amdinfer-0.4.0.dev0:

pip install amdinfer-0.4.0.dev0.whl

نصب پکیج tar.gz amdinfer-0.4.0.dev0:

pip install amdinfer-0.4.0.dev0.tar.gz