commit | e49b5431cb3f07fddb21fcaccb3c7a9de3c22c0a | [log] [tgz] |
---|---|---|
author | Han-Chung Wang <hanchung@google.com> | Fri Mar 18 11:48:59 2022 -0700 |
committer | GitHub <noreply@github.com> | Fri Mar 18 11:48:59 2022 -0700 |
tree | d423f66e0fffbc8b955c561be514593e987de2d4 | |
parent | 0e36b7116a9948344d20b8dcadb6fbcea8d99927 [diff] |
Update instructions for reproducing TF/TFLite integration tests (#8589) The log is messy. It's better to get the python command from run files. Also, iree_tfl_tests suite and iree_tf_tests suite have different flags. This reduces the confusion about reproducing the issue. E.g., ``` ❯ cat iree_tfl_tests/llvmaot_posenet_i8.run # REQUIRES: llvmaot # RUN: %PYTHON -m iree_tfl_tests.posenet_i8_test --target_backend=llvmaot -artifacts_dir=%t ❯ cat iree_tf_tests/math/llvmaot__abs.run # REQUIRES: llvmaot # RUN: %PYTHON -m iree_tf_tests.math.math_test --target_backends=iree_llvmaot --dynamic_dims=false --functions=abs -artifacts_dir=%t ```
IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.
See our website for project details, user guides, and instructions on building from source.
IREE is still in its early phase. We have settled down on the overarching infrastructure and are actively improving various software components as well as project logistics. It is still quite far from ready for everyday use and is made available without any support at the moment. With that said, we welcome any kind of feedback on any communication channels!
See our website for more information.
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.