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TVM 0.5 Release Note

See original GitHub issue

The release is managed by the TVM PMC, moderators for this release are @ZihengJiang and @yzhliu

The community welcomes new reviewers @nishi-t @were @siju-samuel @jroesch @xqdan @zhiics @grwlf @ajtulloch @vinx13 @junrushao1994 @FrozenGene @liangfu , new committers @srkreddy1238 @eqy @masahi @nhynes @phisiart @merrymercy @Laurawly @adityaatluri @Huyuwei

Change List

New Features

Fully featured 8-bit network support
- 8bit quantizer
- Arbitrary bits quantization algorithm
- Intel cpu support
NVidia GPU 8-bit kernel
- int8 gemm recipe
- int8 conv2d
- Autotvm integration
Automated tuning and scheduling
- AutoTVM optimizations for mobile GPUs
- AutoTVM optimizations for CUDA
- AutoTVM optimizations for x86
Initial release of the differentiable programming IR, Relay
- Generic & informative Relay error reporting #2408
- Relay IR text format support #1781
- Support control flows
- A Normal Form Canonicalization #2251
- Type system support
- End to end compilation
  - Frontend support: Caffe2 #2507 , CoreML #2476 , Keras #2376 , MXNet #2163 , ONNX, TFLite #2365
  - Operator coverage #1799 #2051
- FoldScaleAxis #2020
- SimplifyInference #2033
- CombineParallelConv2D #2089
- InstrumentBoundCheckers pass #2079
- Bind & FoldConstant #2100
- Alter Op Layout #2150
- General OpFusion #2090
CodeGen
- Gcc / g++ compatible C code generator for TVM #2161
- Device type annotation for heterogeneous compilation #2361
- Cache packed func ptr, lift alloca #2070
- Generalize compute to tensor region #1476
Runtime
- Relay interpreter and compiler #1954
- Heterogeneous runtime #1695
- Language bindings: Golang runtime #1470 , Rust runtime #1597
- Add min_repeat_ms to time_evaluator #2200
- Bundled interpreter demonstration #2297
- Enable PlanMemory in the graph runtime #2120
Language Binding
- Rust frontend #2292
VTA
- Improved RPC for VTA #2043
Hybrid python programming model
- Support for scheduling #2416
- Support for Inter-function call #2287
- Backend support https://github.com/dmlc/tvm/pull/2477
TOP
- Initial support for sparse tensor computation
- Improve ARM CPU depthwise convolution performance #2345
- Port winograd ops to relay #2356
Tutorials and docs
- Relay language docs #2232
- Tutorials on how to use SGX backend
- How to write a pass in python
- General lowering flow of TVM
- How to do tensorize
- TFLite frontend tutorial #2508
- Keras seq2seq model for translation tutorial #1815
- Committer guide and tips #2468
- Code review guideline on API designs #2459

Bug-fixes

Fix bug of ignoring user-defined shape in Tensorflow frontend. #2444
Prevent generating 0-dim tensors in Tensorflow frontend. #2326
Fix the bug of incorrect inferred layout when registered alter_layout function returns None. #2101
Fix the return type of read character from a buffer. #2255
Fix subgraph loading from JSON. #1980
Fix incorrect value index in hybrid script. #2268
Fix out-of-bound access when buffer.access_ptr contains non-zero extent. #1939
Add checker for vectorizing over reduce-axis. #1795
Bug fix for fusing injective operation and conv2d. #1603 #1608 #1760 #1622
Fix bilinear mode in topi::nn::upsampling. #1708
Fix the bug with which the Else statement disappears after inject virtual thread pass. #2039
Preventing negation of an undefined Expr in some cases. #1816
Fix CUDA path lookup when multiple CUDA versions are installed. #1788
Fix bugs for SSD sorting and multbox detection. #1578
Fix incorrect elem_offset calculation in Buffer. #1762
Fix rewrite_unsafe_select pass so that LLVM CodeGen generates br instruction only when the type is i1. #2381
Fix incorrect intermediate results in debug mode. #2520
Fix for SSD full GPU support and SSD tutorial update. #2510
Fix LLVM CodeGen br instruction accept not-i1 type issue. #2381
Fixed constant folding for mod operation in CanonicalSimplify. #2487
Fix missing reduction init predicates. #2249
Fix for quantize. #2573
fix storage_rewrite bug when input is big. #2580

Contributors

Code reviewers

@tqchen
@liangfu quantization, relay, topi, frontend
@zhiics relay, runtime, frontend
@nhynes quantization, rust
@Huyuwei frontend
@yzhliu relay, frontend, perf
@xqdan hybrid script, tvm/lang
@ZihengJiang relay
@vinx13 relay/pass, topi
@masahi relay/pass, frontend, doc, topi
@grwlf frontend, topi, relay, quantization
@tmoreau89 vta, relay, backend, runtime
@kazum frontend
@nishi-t frontend, topi
@PariksheetPinjari909 frontend
@jroesch relay, frontend, doc
@srkreddy1238 relay/op, frontend
@siju-samuel relay/op, frontend
@junrushao1994 relay
@icemelon9 relay, perf, tvm/lang, codegen
@ajtulloch relay, frontend
@alex-weaver relay
@kevinthesun hybrid script, topi, relay
@Laurawly topi
@were hybrid script, topi
@FrozenGene frontend, topi, relay/pass
@eqy relay, topi, runtime, rust
@zhreshold frontend, relay/op
@merrymercy relay/op, topi, runtime, frontend
@derisavi-huawei symbolic integers

Code contributions

@tqchen tvm
@vinx13 relay/pass, topi
@siju-samuel topi, relay/op
@merrymercy autotvm, topi, relay/pass
@srkreddy1238 relay/op, frontend/tf
@MarisaKirisame relay
@slyubomirsky relay, docs
@jroesch relay
@nhynes rust
@wweic docs, relay/pass
@yzhliu perf, frontend
@zhiics relay/pass, relay/op, runtime
@were hybrid script
@icemelon9 perf, relay/pass, relay/op
@joshpoll relay, docs
@sgrechanik-h codegen
@kazum frontend/keras, topi
@masahi relay/op, docs
@FrozenGene perf, frontend/tf
@liangdzou docs
@junrushao1994 relay/op
@eqy autotvm, runtime
@apivovarov docs
@ajtulloch runtime, nnpack
@kevinthesun relay/op, perf
@ZihengJiang relay/pass, quantization
@hlu1 nnpack, frontend/caffe2
@lixiaoquan nnvm
@imorinaga frontend/mxnet
@liangfu topi, docs
@xqdan codegen
@PariksheetPinjari909 frontend/darknet
@alexeyr frontend/tensorflow
@Rasterer topi
@yangchen-MS codegen
@anijain2305 relay/op
@grwlf topi
@Huyuwei topi, frontend/keras
@denis0x0D runtime/trace, relay/pass
@Mutinifni codegen
@derisavi relay/pass
@tmoreau89 vta
@Laurawly topi, perf
@zhreshold frontend, topi
@kun-zh codegen
@reminisce relay/op
@ehsanmok rust
@cnuernber perf
@cowanmeg topi, codegen
@yuruofeifei topi

Issue Analytics

State:
Created 5 years ago
Reactions:22
Comments:18 (18 by maintainers)

Top GitHub Comments

4reactions

nhynescommented, Jan 28, 2019

@yzhliu the rust frontend is almost ready. It’ll probably take a few days of concerted effort to get it ready to merge, but I think it’ll make it in time.

3reactions

ZihengJiangcommented, Feb 2, 2019

@Laurawly @FrozenGene added. Given the current status of the rust frontend, I will add it to the 0.5 release announcement. @nhynes @ehsanmok

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