Open pdhirajkumarprasad opened 1 month ago
Seems LSTM also has quality issue. But it seems the testcases themselves are buggy(wrong # of inputs & outputs). Besides, RNN only has 1 testcase rn. I'm afraid it can't cover all the corner cases.
Seems LSTM also has quality issue. But it seems the testcases themselves are buggy(wrong # of inputs & outputs). Besides, RNN only has 1 testcase rn. I'm afraid it can't cover all the corner cases.
Yeah, the issue for LSTM is already opened here https://github.com/nod-ai/SHARK-ModelDev/issues/315.
Introduction
This page provides information on implementing complete support of ONNX operators in Shark/IREE front-end. This effort is a part of overall ONNX quality improvement tracked by #812
Pre-requisites
Development Workspace
Create a fork of https://github.com/llvm/torch-mlir and follow build instructions to build a clone of your fork and push changes using Pull Requests
Guidelines
Contact:
Onnx Ops( Known missing features)
Onnx Ops( Known Quality Issues)
Other tasks:
https://github.com/llvm/torch-mlir/issues/3796