MMdnn
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MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyT...
Hello Please I need help I have this error when I try converting mxnet to IR Warning: MXNet Parser has not supported operator null with name data. Warning: convert the...
Platform : Windows 10 Python version: 3.7.9 Source framework with version: Caffe 1.x Destination framework with version: keras (tensorflow 1.15) Pre-trained model path: OpenPose Body 25 https://github.com/CMU-Perceptual-Computing-Lab/openpose Running scripts: I...
Platform (like ubuntu 16.04/win10): Ubuntu 16.04 Python version: 3.6.8 Source framework with version (like Tensorflow 1.4.1 with GPU): PyTorch 1.5.1 Destination framework with version (like CNTK 2.3 with GPU): MMIR...
Platform :arm centos Python version:3.7.5 Source framework with version (like Tensorflow 1.4.1 with GPU):tensorflow 1.15 when tried ”mmconvert -sf tensorflow -iw resnet50_910to310.pb --dstNodeName resnet_model/final_dense -df caffe -om tf_resnet --inNodeName input_data...
Platform (like ubuntu 16.04/win10): ubuntu 16.04 Python version: 2.7 Source framework with version (like Tensorflow 1.4.1 with GPU): tensorflow1.12.0 Destination framework with version (like CNTK 2.3 with GPU):caffe Pre-trained model...
Platform (like ubuntu 16.04/win10): ubuntu 16.04 Python version: 3 Source framework with version (like Tensorflow 1.4.1 with GPU): Tensorflow 1.15.0 Destination framework with version (like CNTK 2.3 with GPU): Pytorch...
https://github.com/microsoft/MMdnn/issues/882
Platform: ubuntu MMdnn version: 0.3.1 Source framework with version: Tensorflow 1.13.1 Pre-trained model: mobilenet_v1 from https://github.com/tensorflow/models/tree/master/research/slim/nets Running scripts: mmtoir Description: shape inference error in parsing depthwise_conv (converting from tf-slim model...
Such like this:https://nni.readthedocs.io/en/latest/Tutorial/InstallationLinux.html#install-nni-through-source-code
Platform (like ubuntu 16.04/win10): Python version: Source framework with version (like Tensorflow 1.4.1 with GPU): Destination framework with version (like CNTK 2.3 with GPU): Pre-trained model path (webpath or webdisk...