NOT_IMPLEMENTED : Could not find an implementation for ReduceProd(18) node with name 'p2o.ReduceProd.0'

Open

#20,693 opened on May 16, 2024 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

feature request

Dominant language: C++
Stars: 21.9k
Forks: 4.2k
Avg merge: 4d 11h
Merged PRs (30d): 184

Description

### Describe the issue

FAILED test_auto_scan_reduce_ops.py::TestReduceAllConvert::test - onnxruntime.capi.onnxruntime_pybind11_state.NotImplemented: [ONNXRuntimeError] : 9 : NOT_IMPLEMENTED : Could not find an implementation for ReduceProd(18) node with name 'p2o.ReduceProd.0'

### To reproduce

[reduce_prod_18.onnx.zip](https://github.com/microsoft/onnxruntime/files/15331785/reduce_prod_18.onnx.zip)

### Urgency

_No response_

### Platform

Linux

### OS Version

LinuxMint 21.3

### ONNX Runtime Installation

Built from Source

### ONNX Runtime Version or Commit ID

1.17.3

### ONNX Runtime API

Python

### Architecture

X64

### Execution Provider

Default CPU

### Execution Provider Library Version

_No response_

Contributor guide

Open the contributing guide

First steps

Read the whole issue, then the project's contributing guide.
Comment on the issue to say you are picking it up — it saves two people doing the same work.
Fork the repository and make your change on a branch.
Open a pull request that references the issue number.

Research direction

Start by running test_auto_scan_reduce_ops.py::TestReduceAllConvert::test with the attached reduce_prod_18.onnx model on the default CPU provider. Trace the ReduceProd(18) failure and verify that the test completes successfully with the reported model and ONNX Runtime 1.17.3 source build.

Written by the indexing model from the issue text.

Assessment

Tech stack: cpp, python
Domain: machine-learning
Issue type: Bug
Difficulty: 4/5
Estimated time: 3-5 days
Activity status: Stale
Clarity: Mostly clear
Newbie friendliness: 32/100