Recent Releases of byteir
byteir - ByteIR v1.9.3.0
What's Changed
- [torch-frontend] support lowering to byteir.resize, byteir.l2_norm
- [byteir] support byre serialization on cuda byre mlir
- [byteir] support decomposition of byteir.softmax, byteir.arg_max, byteir.addn
- [byteir] support merge two modules by mapping
- [brt] add BRTBackend
- [*] reduce wheel package size
New Contributors
- @yyp0 made their first contribution in https://github.com/bytedance/byteir/pull/428
Full Changelog: https://github.com/bytedance/byteir/compare/v1.9.1.0...v1.9.3.0
- MLIR
Published by qingyunqu over 1 year ago
byteir - ByteIR v1.9.1.0
What's Changed
- Enhance gemm codegen by @Xinyu302
- Enhance
byteir_backendoftorch.compile - Support optimize contiguous slice as alias like op
- Refactor cat pipeline and executor
- Support
1xTF32on GPU backend
New Contributors
- @JackyChenYi made their first contribution in https://github.com/bytedance/byteir/pull/308
- @jianwenyyy made their first contribution in https://github.com/bytedance/byteir/pull/358
Full Changelog: https://github.com/bytedance/byteir/compare/v1.8.4.0...v1.9.1.0
- MLIR
Published by qingyunqu almost 2 years ago
byteir - ByteIR 1.8.4.0
What's Changed
- More codegen fusion on mhlo, like slice-concat fusion and insert_slice fusion.
- More graph optimization.
- Enhance reduction codegen.
- Refactor byteir.compile.
- Add dynamo backend in torchfrontend.byteirbackend.
- E2E on NCCL backend.
Full Changelog: https://github.com/bytedance/byteir/compare/v1.8.1.0...v1.8.4.0
- MLIR
Published by qingyunqu about 2 years ago
byteir - ByteIR 1.8.1.0
- Design ccl dialect to be lowered from torch communication ops.
- Release Torch Frontend v1.1.1, which split torchscript and dynamo/fx support.
- Support emitting stablehlo bytecode from frontends
- Compiler support accepting stablehlo bytecode.
- MLIR
Published by qingyunqu about 2 years ago
byteir - ByteIR 1.7.1.0
- Update Torch-Frontend to 1.0.3
- Update ByteIR Compiler & Runtime to 1.7.1.0
- Support Serialization on Byte Dialect
- Init for NCCL Backend
- MLIR
Published by qingyunqu over 2 years ago