onnx / onnx/optimizer

optimize passes of mean ?

Open
#56 1 comment 1 reaction 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
C++
Stars
834
Forks
109
Avg merge
6h 55m
Merged PRs (30d)
2

Description

Can knowledge optimize the meaning of each parameter
eliminate_deadend eliminate_duplicate_initializer eliminate_identity eliminate_if_with_const_cond eliminate_nop_cast eliminate_nop_dropout eliminate_nop_flatten eliminate_nop_monotone_argmax eliminate_nop_pad eliminate_nop_transpose eliminate_unused_initializer extract_constant_to_initializer fuse_add_bias_into_conv fuse_bn_into_conv fuse_consecutive_concats fuse_consecutive_log_softmax fuse_consecutive_reduce_unsqueeze fuse_consecutive_squeezes fuse_consecutive_transposes fuse_matmul_add_bias_into_gemm fuse_pad_into_conv fuse_transpose_into_gemm lift_lexical_references nop split_init split_predict

Contributor guide

No contributing guide indexed for this repository

First steps

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

Research direction

Start by locating the definitions or documentation for the listed optimization passes, from eliminate_deadend through split_predict. Record what each pass does and clarify the meaning of its parameters or configuration. Done means every listed pass has an accurate, understandable explanation.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp
Domain
documentation
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.