Skip to content
Avatar
🎯
Focusing
🎯
Focusing
  • Microsoft
  • Mountain View, California

Achievements

Achievements

Highlights

  • 1 discussion answered

Organizations

@microsoft @onnx
Block or Report

Block or report jcwchen

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jcwchen/README.md

Pinned

  1. onnx/onnx Public

    Open standard for machine learning interoperability

    C++ 12.4k 2.7k

  2. Tensors and Dynamic neural networks in Python with strong GPU acceleration

    C++ 55.6k 15.4k

  3. ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

    C++ 6.6k 1.5k

  4. OLive, meaning ONNX Runtime(ORT) Go Live, is a python package that automates the process of accelerating models with ONNX Runtime(ORT). It contains two parts including model conversion to ONNX with…

    Python 194 30

  5. The Triton backend for the ONNX Runtime.

    C++ 46 23

  6. Drone-view building identification by cross-view Triplet deep neural network and relative spatial estimation

    Python 6 3

549 contributions in the last year

May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr Mon Wed Fri

Contribution activity

April 2022

Created 2 repositories

Created a pull request in onnx/onnx that received 21 comments

Clarify NonZero behavior for scalar input in spec

Description Fix shape inference for scalar input: NonZero; Since the behavior is changed, bump opset version to NonZero-17 Clarify NonZero behavio…

+29 −13 21 comments
Reviewed 29 pull requests in 7 repositories
onnx/onnx 19 pull requests
onnx/sigs 3 pull requests
onnx/models 2 pull requests
microsoft/onnxruntime 2 pull requests
pytorch/pytorch 1 pull request
AK391/gradio 1 pull request
onnx/tutorials 1 pull request

Created an issue in pytorch/pytorch that received 2 comments

Question about suspicious nonzero behavior with scalar input

🐛 Describe the bug This nonzero behavior with scalar input looks weird to me: import torch torch.nonzero(torch.tensor(0)) # output tensor([], size=…

2 comments

Seeing something unexpected? Take a look at the GitHub profile guide.