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onnx / onnx

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DynamicQuantizeLinear function does not have shape inference function

3
askhade
askhade commented May 27, 2021

Bug Report

Is the issue related to model conversion? No

Describe the bug

DynamicQuantizeLinear function op does not have shape inference function defined. In absence of shape inference, function body is used to get the shape inference for the function op and although it works as a fallback option it hurts perf.

Expected behavior

Add shape inference function for DynamicQuan

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bug good first issue
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onnxruntime

microsoft / onnxruntime

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Calculation error of reduction operator when axis has duplicate value

2
onlyonedaniel
onlyonedaniel commented Nov 18, 2020

Describe the bug
when axis has duplicate value , onnxruntime compute result is all same value ,which is different with expect of tensorflow

Urgency
2020.11.18

System information
Linux Ubuntu 16.04

  • ONNX Runtime installed from binary
  • ONNX Runtime version:1.4.0
  • Python version:3.5

Expected behavior
When there are duplicate values, the duplicate can be removed. j

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good first issue type:bug

apple / coremltools

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PyTorch Converter: pytorch model conversion MLmodel failed

5
Vico-Lu
Vico-Lu commented Oct 6, 2020

🐞Describe the bug

Converting Frontend cannot be 100% converted when pytorch model is converted to MLmodel. I get a warning

Trace

`TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other

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MIL bug good first issue python

666DZY666 / micronet

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micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

pytorch pruning convolutional-networks quantization xnor-net tensorrt model-compression bnn neuromorphic-computing group-convolution onnx network-in-network tensorrt-int8-python dorefa twn network-slimming integer-arithmetic-only quantization-aware-training post-training-quantization batch-normalization-fuse
  • Updated Jun 9, 2021
  • Python
AdvBox

advboxes / AdvBox

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Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

security machine-learning deep-learning paddlepaddle adversarial-example adversarial-examples onnx fgsm adversarial-attacks deepfool graphpipe
  • Updated Jun 8, 2021
  • Jupyter Notebook

onnx / onnx-tensorflow

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Tensors in list passed to 'values' of 'ConcatV2' Op have types [float64, int64, int64, int64, int64] that don't all match.

6
ansh1204
ansh1204 commented Apr 27, 2020

I am trying to convert a custom pytorch model to tensorflow, I am abe to convert pytorch to onnx but converting onnx to tensorflow gives issue.

The code snippets are as follows-

pytorch to onnx

net = custom pytorch model
net.load_state_dict("pre-trained model")
dummyInput = np.random.uniform(0,1,(1,8,3,256,256))
dummyInput = Variable(torch.FloatTensor(dummyInput))
torch.onnx.export(ne

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good first issue

PINTO0309 / PINTO_model_zoo

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A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

caffe computer-vision model-zoo tensorflow model models keras pytorch pretrained-models tensorflow-models coreml onnx tensorflow-lite tflite tensorflowjs tfjs openvino edgetpu mediapipe tf-trt
  • Updated Jun 2, 2021
  • Python

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