ONNX

How to load or infer onnx models in edge devices like raspberry pi?

由 ≡放荡痞女 提交于 2020-02-23 07:50:33
问题 I just want to load onnx models in raspberry pi. How to load onnx models in edge devices? 回答1: You can use ONNX Runtime for ONNX model inference in Raspberry Pi. It support Arm32v7l architecture. Pre-build binary is not provided as of 2020/1/14. So you need to build it from source code. Instruction is described below. https://github.com/microsoft/onnxruntime/blob/master/dockerfiles/README.md#arm-32v7 Install DockerCE on your development machine by following the instructions here Create an

How to properly implement data reorganization using PyTorch?

由 好久不见. 提交于 2020-01-23 12:36:25
问题 It's going to be a long post, sorry in advance... I'm working on a denoising algorithm and my goal is to: Use PyTorch to design / train the model Convert the PyTorch model into a CoreML model The denoising algorithm consists in the following 3 parts: A "down-sampling" + noise level map A regular convnet An "up-sampling" The first part is quite simple in its idea, but not so easy to explain. Given for instance an input color image and a input value "sigma" that represents the standard

Unable to register an ONNX model in azure machine learning service workspace

由 别来无恙 提交于 2020-01-21 09:59:59
问题 I was trying to register an ONNX model to Azure Machine Learning service workspace in two different ways, but I am getting errors I couldn't solve. First method: Via Jupyter Notebook and python Script model = Model.register(model_path = MODEL_FILENAME, model_name = "MyONNXmodel", tags = {"onnx":"V0"}, description = "test", workspace = ws) The error is : HttpOperationError: Operation returned an invalid status code 'Service invocation failed!Request: GET https://cert-westeurope.experiments

ValueError: You passed in an iterable attribute but I cannot figure out its applicable type

由 烂漫一生 提交于 2019-12-24 16:25:40
问题 I am trying to convert facenet model(20170512-110547.pb) to onnx format using tf2onnx tool. But When I am trying to convert it using this command python3 -m tf2onnx.convert\ --input 20170512-110547.pb\ --inputs input:0,phase_train:0\ --outputs embeddings:0\ --output model.onnx\ --verbose It is giving me this error ValueError: ValueError: You passed in an iterable attribute but I cannot figure out its applicable type. Full Error log 2019-10-20 12:12:56,655 - WARNING - tf2onnx.shape_inference:

PyTorch VAE fails conversion to onnx

由 谁说我不能喝 提交于 2019-12-13 03:33:18
问题 I'm trying to convert a PyTorch VAE to onnx, but I'm getting: torch.onnx.symbolic.normal does not exist The problem appears to originate from a reparametrize() function: def reparametrize(self, mu, logvar): std = logvar.mul(0.5).exp_() if self.have_cuda: eps = torch.normal(torch.zeros(std.size()),torch.ones(std.size())).cuda() else: eps = torch.normal(torch.zeros(std.size()),torch.ones(std.size())) return eps.mul(std).add_(mu) I also tried: eps = torch.cuda.FloatTensor(std.size()).normal_()

Adaptable DL with nGraph™ Compiler and ONNX*

由 只愿长相守 提交于 2019-12-06 10:26:41
Adaptable Deep Learning Solutions with nGraph™ Compiler and ONNX* Artificial intelligence methods and deep learning techniques based on neural networks continue to gain adoption in more industries. As neural networks’ architectures grow in complexity, they gain new capabilities, and the number of possible solutions for which they may be used also grows at an increasing rate. With so many constantly-changing variables at play, finding some common ground for developers to collaborate to improve or adapt their solutions is important. Community-supported projects like ONNX are introducing

令人唏嘘！谷歌这10年来究竟砍掉了多少项目和产品？

由 我只是一个虾纸丫 提交于 2019-12-05 23:27:30
Google发布了很多令人惊喜的产品，但同时，它也悄悄地也关闭了很多你听过或者没听过的产品。曾经一断时间，它每个季度都来一次“季末大清仓”（大厂就是这么任性），将那些不打算持续的项目和产品，快狠准地扔进自己的“小黑屋”。今天笔者就给大家盘点下， 这10年间，谷歌究竟砍掉了多少令人唏嘘的项目和产品？ 2011.10.14——Google Labs Labs 是 Google 的一个实验平台，Labs托管了Google一些早期产品原型，终端用户可以尝试这些原型，但不保证这些产品会正常运行，也不保证在未来会上线。Google 很多成功和受欢迎的产品都来自Labs，包括Google新闻、Google阅读器和Google地图。 2012.4. 20——Google Sync Google正式停止了其BlackBerry的Google Sync应用程序，该应用程序历来使BlackBerry用户的日历和联系人保持同步。 2012. 4. 30——Google Wave Google Wave糅合了多种沟通工具，包括电子邮件、电子邮件群组、即时聊天工具、在线协作文档、线上社区等等，将它们当中的特性彻底打散，同时组合在一起，力图创造出一种高效、协作的沟通环境。 2012. 7. 3——iGoogle Google将所有视频内容移至YouTube，iGoogle和Symbian

使用TensorRT对caffe和pytorch onnx模型进行fp32和fp16推理

由 老子叫甜甜 提交于 2019-12-05 01:52:09
本文首发于个人博客 https://kezunlin.me/post/bcdfb73c/ ，欢迎阅读最新内容！ tensorrt fp32 fp16 tutorial with caffe pytorch minist model Series Part 1: install and configure tensorrt 4 on ubuntu 16.04 Part 2: tensorrt fp32 fp16 tutorial Part 3: tensorrt int8 tutorial Code Example include headers #include <assert.h> #include <sys/stat.h> #include <time.h> #include <iostream> #include <fstream> #include <sstream> #include <iomanip> #include <cmath> #include <algorithm> #include <cuda_runtime_api.h> #include "NvCaffeParser.h" #include "NvOnnxConfig.h" #include "NvOnnxParser.h" #include "NvInfer.h" #include "common.h"

Unable to register an ONNX model in azure machine learning service workspace

由 时光总嘲笑我的痴心妄想 提交于 2019-12-01 13:42:50
I was trying to register an ONNX model to Azure Machine Learning service workspace in two different ways, but I am getting errors I couldn't solve. First method: Via Jupyter Notebook and python Script model = Model.register(model_path = MODEL_FILENAME, model_name = "MyONNXmodel", tags = {"onnx":"V0"}, description = "test", workspace = ws) The error is : HttpOperationError: Operation returned an invalid status code 'Service invocation failed!Request: GET https://cert-westeurope.experiments.azureml.net/rp/workspaces ' Second method: Via Azure Portal Anyone can help please? error 413 means the

PyTorch 1.2 中文文档校对活动 | ApacheCN

由 十年热恋 提交于 2019-11-30 11:58:39
整体进度： https://github.com/apachecn/pytorch-doc-zh/issues/422 贡献指南： https://github.com/apachecn/pytorch-doc-zh/blob/master/CONTRIBUTING.md 项目仓库： https://github.com/apachecn/pytorch-doc-zh 贡献指南 请您勇敢地去翻译和改进翻译。虽然我们追求卓越，但我们并不要求您做到十全十美，因此请不要担心因为翻译上犯错——在大部分情况下，我们的服务器已经记录所有的翻译，因此您不必担心会因为您的失误遭到无法挽回的破坏。（改编自维基百科） 可能有用的链接： 英文文档 英文教程 负责人： 片刻 ：529815144 Alex : 1272296763 Holly : 514397511 章节列表 中文教程 入门 PyTorch 深度学习: 60 分钟极速入门 数据加载和处理教程 用例子学习 PyTorch 部署与TorchScript一个Seq2Seq模型 可视化模型，数据，和与训练TensorBoard 保存和加载模型 torch.nn 到底是什么？ TorchVision对象检测教程细化和微调 微调Torchvision模型 空间变压器网络教程 使用PyTorch进行神经网络传递 对抗性示例生成 DCGAN教程 音频
订阅 ONNX