Commit Graph

58 Commits

Author SHA1 Message Date
Tian Jin dbc41d2330
Update llvm commit ID to 1d01fc1 (#292)
* Fix for LLVM revision D85495

* Fix for LLVM revision DD86121

* Fix for LLVM revision D85622 (f9dc2b7)
TODO: Change preloadDialectsInContext to false

Memo for previous fixes: D86121 (250f43d), D85495 (575b22b)

* clang-format

* Update llvm commit ID of README and clone-mlir.sh

* Updated llvm commit ID of README.md

* Fix for passing backend tests

* Removed the commented code

* Empty commit for triggering rebuild

* Test multi-stage travis build

* Specify stage order.

* Empty commit for triggering rebuild

* Update prereq.s390x.Dockerfile

Make it possible to execute s390x prereq docker multiple times.

* Build prereq for each arch

* Fix multi-arch prereq build.

* timeout at 40m

* Update .travis.yml

* add ppc64le prereq builder

* Run ppc docker prereq build multiple times

* Do not test branch update unless it's mater.

* Fix dockerfile.

* Fix typo in travis.yml.

* Fix ppc64 docker file

* Update .travis.yml

* turn off metacopy on ppc64le

* Update .travis.yml

* Turn off metacopy.

* Turn off metacopy inside Dockerfile in ppc64.

* No sudo in Docker.

* Remove metacopy config from Dockerfile.

* Change base image to be bionic.

* Using newer linux distro for ppc64.

* Turn off metacopy in before_install.

* Fix sudo permission issue.

* Run docker info.

* Allow amd64 docker file to be built multiple times

* Support building amd64 prereq.

* Fix amd64 docker file typo.

* fix ppc64le dockerfile typo.

* timeout from 40m -> 30m

* 40m->30m

* 40m->30m

* fix bug preventing incremental build.

* fix bug preventing incremental build.

* Bump CircleCI cache version.

* Push to production prereq container repository and condition prereq docker rebuild on commit message.

* Rebuild prereq docker.

* Move default script to top-level.

* Python not properly installed.

* amd64 -> x86

* Rebuild prereq docker.

* Rebuild prereq docker.

* Rebuild prereq docker.

* Restart all CI.

* Disallow cache on Jenkins docker build.

* Restart zJenkins.

* Restart zJenkins.

Co-authored-by: Haruki Imai <imaihal@jp.ibm.com>
Co-authored-by: Alexandre Eichenberger <alexe@us.ibm.com>
2020-09-09 23:12:01 +08:00
Alexandre Eichenberger 8bfde7de4b
Transpose optimization (#280)
* Define krnl.permute op.

* Support krnl.permute operation.

* Properly remove loop references.

* Re-push, Github was down.

* Need to debug interpretOp error.

* Fix lowering bug by erasing ops after full krnl IR interpretation is done, and clean up & comment code.

* Introduce permute, unroll operations.

* More debug.

* Remove std::set.

* krnl.terminate fails to be converted.

* Pass all tests, need to add legal ops as well as part of the conversion target.

* Change test format to new permute spec.

* Bug fix for nested iterate op lowering.

* Simplify error reporting.

* Fix compilation error.

* Increase comments coverage.

* Remove unnecessary imports.

* Re-trigger Jenkins

* Add permute/unroll tests.

* Retrigger Jenkins

* transpose fusion and removal

* format

* fix comments

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-08-31 10:40:17 -04:00
Aman LaChapelle 24d0a2ac71
Add shape inference and names (#266)
* Add shape inference and names

 - Add shape inference for PRelu
 - Fix shape inference for group conv
   for ConvTranspose
 - Add input and output names for
   graphs (functions)
 - Add support for (u)int8 tensor
   attributes

* Fix format issues

* Revert formatting for gen_onnx_mlir.py

* Pads can have ArrayAttr and DenseElementsAttr so support both

* NumInputs is the number of graph inputs that don't have initializers

* Add test for 2D batchnorm

* Fix typo in define_loops in new 2d BN test

* Change 'name' to 'onnx_node_name'

* Fix Batchnorm for 2D I/O and add lowering test

Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-08-27 15:46:27 -04:00
Tung D. Le 7c1e67898d
Fuse convolution and batch normalization (#253)
* Rewriting rule

* Fix formulas

* Reuse op results

* Const propagation for Div and Sqrt

* Explicitly use ONNXConstantOp

* Minor revise

* Const propagation for unsqueeze

* Do const propagationnce all tensors have inferred shapes

* LIT tests for fusion

* Add LIT tests for constant propagation on Div, Sqrt, and Unsqueeze

* Missing dash

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-08-18 16:41:40 +08:00
Tian Jin 38bd77e51a
Build llvm nightly prereq images & test onnx-mlir against it regularly. (#268)
* Create build-prereq-docker-x86-nightly.yml

* Update build-prereq-docker-x86-nightly.yml

* Update build-prereq-docker-x86-nightly.yml

* Update build-prereq-docker-x86-nightly.yml

* Update build-prereq-docker-x86-nightly.yml

* Update build-prereq-docker-x86-nightly.yml

* Create clone-mlir-master.sh

* Update build-prereq-docker-x86-nightly.yml

* Update prereq.s390x.Dockerfile

* trigger jenkins docker build on s390x

* Update prereq.s390x.Dockerfile

* Update build-prereq-docker-x86-nightly.yml

Run on a schedule (every sunday).

* Trigger jenkins

* Trigger jenkins build.

* check-mlir does not succeed

* Trigger jenkins

* Trigger Jenkins

* Trigger jenkins

* Enable nightly build.

* Update .travis.yml

* Using curly braces to prevent overparse.

* Specify base image as a build argument.

* Correct repo name.

* Build a regular x86 image.

* Resotre github action to build night images only.

* normalize amd64 -> x64.

* In ppc64le, select base image from arg

* Under amd64, choose base image from arg.

* Using export to make CPU_ARCH persist.

* Fix variable definition

* Fix bash script.

* Rename amd64.Dockerfile to x86.Dockerfile

* Allow failures when testing with nightly llvm.

* Nit.

* Fix allow_failures clause in Travis.

* Update .travis.yml

* typo fix: fase -> false
2020-08-18 08:59:50 +08:00
Anh Leu 00299910f3
OneHotEncoder Shape Inference (#265)
* move scalerop to decompose

* change clang format

* change clang format

* add shape inference for scaler op

* fixing generated onnxop

* generate onnx.md

* redo get onnx.md and onnxop.td.inc using onnx 1.6

* Add shape inference for scaler op

* add benefit for scaler decompose and simplify scaler shape inference

* add scaler decompose benefit num and simplify shape inference

* add cast builder

* cast rewrite only for float

* add cast op same type rewrite rule

* working on cast lowering

* cast lowering working

* add cast lowering

* fix format

* Delete OpBuildTable.inc

* complete requested changes

Co-authored-by: chentong319 <chentong@us.ibm.com>
2020-08-14 16:13:31 -04:00
Tung D. Le 1b42d0b4eb
Update LLVM commit ID to the version that corresponds to MLIR News, 13th edition (8/7/2020) (#248)
* Update LLVM commit ID to include to the new modeling of LLVM type in MLIR

* Fix commit id discrepancy

* Update README.md

* Update MLIR version

* Force rebuild prereq dockers and see what happens.

* Use LLVM commit ID that corresponds to MLIR News, 13th edition (8/7/2020)

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-08-14 12:52:48 +08:00
albertomagni-ms e1386b0689
Add shape inference for Ops used by BERT (#249)
* Add shape inference for Ops used by BERT

* Erf
* Pow
* ReduceMean
* Dropout
* Expand
  https://github.com/onnx/onnx/blob/master/docs/Operators.md#expand
  Deduce the value of the shape operand by looking at the producer
  of the operand.
  Currently supported producers are: onnx.Constant and onnx.Shape.

* Add corresponding tests for each op.

* Sort the list of ops with shape inference in gen_onnx_mlir.py
in alphabetic order for clarity.

* Restart CI

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-08-07 13:08:00 +08:00
Chun-Wei Chen 20686d8f0f
Catch build failure on Windows-CI (Azure Pipelines) (#241)
* catch errors after build command

* remove spaces

* use %ERRORLEVEL% instead

* move modification to CI command only

* add extra nextline to prevent modification
2020-08-06 16:53:59 +08:00
chentong319 b4228fd288
Seq type (#199)
* base implementation

* add example

* change table gen

* docs

* small change for review

Co-authored-by: Alexandre Eichenberger <alexe@us.ibm.com>
Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-07-31 20:05:59 +08:00
Anh Leu a611c145f4
Add Rewrite rule to eliminate CastOp when input element type is the same as expected output element type (#237)
* move scalerop to decompose

* change clang format

* change clang format

* add shape inference for scaler op

* fixing generated onnxop

* generate onnx.md

* add benefit for scaler decompose and simplify scaler shape inference

* cast rewrite only for float

* add cast op same type rewrite rule

* fix format

Co-authored-by: chentong319 <chentong@us.ibm.com>
2020-07-27 12:49:14 -04:00
chentong319 32ceb6968a
Use map when Import onnx node (#230)
* add map

* generate map
2020-07-27 12:25:21 -04:00
Kevin O'Brien 8af5fdeb62
fix comment (#229)
* fix comment

* add the .inc files to the PR
2020-07-24 17:03:08 -04:00
Anh Leu e631283c71
ScalerOp support non-float input using CastOp (#231)
* move scalerop to decompose

* change clang format

* change clang format

* add shape inference for scaler op

* fixing generated onnxop

* generate onnx.md

* redo get onnx.md and onnxop.td.inc using onnx 1.6

* Add shape inference for scaler op

* add benefit for scaler decompose and simplify scaler shape inference

* add scaler decompose benefit num and simplify shape inference

* add cast builder

Co-authored-by: chentong319 <chentong@us.ibm.com>
2020-07-24 10:57:52 -04:00
Anh Leu c9e3ba2d64
Add shape inference for ScalerOp (#228)
* move scalerop to decompose

* change clang format

* change clang format

* add shape inference for scaler op

* fixing generated onnxop

* generate onnx.md

* Add shape inference for scaler op

* add benefit for scaler decompose and simplify scaler shape inference
2020-07-23 13:05:19 -04:00
Tung D. Le 034f98c00c
Shape inference for some ops in RNN models (#207)
* Shape inference for ShapeOp

* Shape inference for TileOp

* Fix check-doc

* Fix onnx-mlir-doc

* Shape inference for GatherOp

* Check validity of GatherOp's indices tensor

* Shape inference for Slice

* Tests for SliceOp

* Fix importing none inputs

* Type inference for constantofshape

* Empty tensor in case of ConstantOfShape

* Remove unrelated changes

Co-authored-by: chentong319 <chentong@us.ibm.com>
2020-07-22 10:15:56 -04:00
chentong319 f43f26a79c
modify builder (#214) 2020-07-21 22:05:18 -04:00
Anh Leu 4b33c312d6
Add ONNXScalerOp pattern (#220)
* add ONNXScalerOp pattern

* move ScalerOp rewrite rule to Rewrite.cpp .td

* attempt to fix format issue

* fixing format issue

* fixing format issue2

* add ONNXScalerOp pattern

* move ScalerOp rewrite rule to Rewrite.cpp .td

* attempt to fix format issue

* fixing format issue

* fixing format issue2
2020-07-17 11:01:30 -04:00
chentong319 13b8591af8
add AnyMemRef (#219) 2020-07-14 11:15:06 -04:00
chentong319 8848464a23
changes for mypipeline.onnx (#202)
* changes for mypipeline.onnx

* format

* rm MLOpBuildTable.inc

* copy string without free

* fix the memory issue

* restore change for STRING

* format

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-07-08 16:52:56 -04:00
Tung D. Le 0a936edf79
Remove ImportNodeReshape (#208) 2020-07-08 10:27:14 -04:00
Aaron Smith 8e6642b2bc
Update llvm version (#187)
* Update llvm version

* Update git hash for llvm-project

* Update option handling

* Update LLVM version

* Update tests

* Update git hash

* Update docs

* clang-format

* Fix operand adaptor

* Fix dim with constant

* Update LSTM.cpp

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-07-07 21:26:00 +08:00
Tung D. Le 2c8f5701bd
Lower SqueezeOp to Krnl dialect (#164)
* Lower Squeeze op to Krnl dialect

* Emit tensor size as a single constant; add a lit test for unknown dimensions

* Code style

* Speical case where the input is only used by this squeeze op

* Remove squeeze-in-place optimization

* Update ConvertONNXToKrnl.cpp

Twek to re-run tests.

* Trigger buildbot re-run.

* Re-run CI

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-07-03 16:26:41 +08:00
chentong319 2e08b2112c
String type (Ready for Review) (#182)
* string type from tensorflow

* simplify type

* parser and print

* gen StringType for tablegen

* onnx to onnx-mlir type

* add namespace

* allow all integer type

* dialect document

* add test case

* format

* more precise type for ONNXOp

* format

* enable the failed test

* update comment

* update onnx.md

Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-06-25 16:34:37 -04:00
chentong319 cc68f77d8d
Merge onnx ml into onnx (#176)
* merge onnx-ml into onnx

* delete onnx ml
2020-06-22 20:01:56 -04:00
chentong319 1fc43fa181
support map and seq in tablegen (#159)
* support map and seq in tablegen

* register MLONNX for testing

* format

* remove the unwanted test

* add a test

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-06-18 21:49:40 +08:00
Aman LaChapelle ca185002f2
Add shape inference for several ops (#163)
* 1. Add shape inference for the following ops:
 - Atan
 - Tan
 - Sin
 - Cast
 - ConvTranspose
 - Flatten
 - DynamicQuantizeLinear
 - QuantizeLinear
 - DequantizeLinear
 - ConvInteger

2. Import attributes for generic nodes
3. Fixes for cases where .cast<> should be .isa<> (ONNXConcat::inferShapes)

* Fix foormatting issues

* Address comments:
 - SmallVector<> * -> SmallVectorImpl<> &
 - switch-case -> helper function
   - Inside helper function, preserve signed-ness
 - add TODOs

* Can't use signed integers yet in convertONNXTypeToMLIRType, add TODO

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-06-09 14:55:49 +08:00
Alexandre Eichenberger e2af505746
Constprop (#162)
* initial const prop attempt

* added support for broadcast ops

* adde all binary broadcast ops into custom builders with precise type

* added test example

* working

* format

* fixed suggestion by Tung, start woring on unary

* added subtraction and neg the right way, and added elementwise mul too

* formatting changes

* format

* format

* added instructions to add new optimizations
2020-06-08 15:45:32 -04:00
Tian Jin dedd5f4a12
Minor bugfix. (#166) 2020-06-08 14:03:35 -04:00
Tian Jin cde1157d62
Rapid check test (#141)
* Call llc, ld from within onnx-mlir.

* Rename EmitLLVMBC -> EmitLib., reorder header files

* Edit comment.

* Checkpoint, debug.py works.

* Automatically generate inputs in debug.py.

* Use float.

* initial support for rapidcheck tests.

* Convolution test case works.

* Format code.

* Link library with MainUtils.

* Fix CMake script error.

* Fast implementation of array assertion, more detailed error analysis.

* More utility for DynMemRef.

* Fix linking issue.

* Uncomment unit test.

* Refactor to separate C++/Python ExecutionSession, enable unit test.

* format code.

* Verbose build.

* Enable PIC option for ExecusionSession.

* Fix cmake error.

* Build all targets.

* Fix doc to build all targets.

* Clean up.

* Clean up, debug.

* Use type alias consistently.

* Move definitions to DynMemRef.cpp.

* include algorithm.

* pyruntime -> PyRuntime

* Format code.

* Free memory.

* Add comments.

* Copyright notice.

* Improve stylistic consistency.

* Add comment.

* Revert irrelevant changes.

* Disambiguate.

* Refator test case generator out from test case implementation, implement example exhaustive test driver.

* Add documentation for testing.
2020-06-08 10:18:55 +08:00
Tung D. Le e2e1fbfd3b
Add type inference for CastOp (#156)
* Add type inference for CastOp

* Share type translation between op builder and onnx importer

* clang-format

* Format emitted code

* Remove unnecessary dependencies
2020-06-04 09:05:04 -04:00
chentong319 5a542e78a0
fix type inference (#144)
* fix type inference for ConstantOp and MaxPoolSingleOut

* modify interface

* use OpInterface

* change name to OpInterface

* Builder dependence

* Update CMakeLists.txt

* Update CMakeLists.txt

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-05-26 09:54:19 +08:00
chentong319 6099efd91b
Express some basic features of an Operation in TableGen file (#103)
* change operation definition

* change importer

* default type inference

* file format

* generate types for input/output

* generate the mapping for operation output type

* remove debug message for gen_doc.py

* update the dialect doc

* add support Complex

* format

* update document

Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-05-21 22:03:16 -04:00
Tian Jin a270af5ce0
Support model debugging (#138)
* Call llc, ld from within onnx-mlir.

* Rename EmitLLVMBC -> EmitLib., reorder header files

* Checkpoint, debug.py works.

* Automatically generate inputs in debug.py.

* Use float.

* Fix merge conflict, remove RapidCheck from this patch.

* Remove submodule rapidcheck properly.

* Reformat code.

* More comments.

* Add documentation.

* Add documentation to navigation.

* Account for the fact that some initializers may also appear as input.
2020-05-21 13:02:48 +08:00
chentong319 a98c723b11
save and check the version of ONNX operation (#125)
* add version control

* fix the comments

* response to review and add onnx_ml

* update document

* add target and rename gen_doc.py

* small fix
2020-05-20 13:48:45 -04:00
Tung D. Le ad61eee908
Move to more recent LLVM commit ID (#131)
* Move to more recent LLVM ID (May 15)

* clang-format

* Bump cache version up

* Update readme

* Fix doc check

* Move to a newer commit id

* Update LoopToStandard -> SCFToStandard

* Change MLIRSideEffects to MLIRSideEffectInterfaces

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-05-20 15:45:42 +08:00
Tian Jin 1d5adc555d
Do not leave temporary files when invoking gen_doc.py. (#129) 2020-05-18 09:44:31 -04:00
chentong319 23bea50404
Implement PadOp based on attribute promotion (#71)
* enable promote attr for pad

* use optional arguments for pad

* shape infereance for pad

* Lowering Pad

* format file

* use DenseTensor for the attribute

* use Pad in ONNXRewrite

* fix the merge conflict

* fix the attr given to constantOp

* handle ONNXConstantOp in attribute promotion

* Fix bug when AttributePromotion is called more than once

* update ONNXOps.td.inc with correct version of onnx

* update onnx.md

* responses to review

* fix the build error

* change the implementation of Pad

* delete commented out code

* clang format

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-05-15 13:19:28 +08:00
Tung D. Le 24343177b8
Lower LSTMOp to Krnl dialect (#73)
* Support dilations and enable e2e tests

* Fix allocating memory for dynamic shape

* Edit comments

* Do dilation by computing an offset from kernel index

* Correct dilation formula, add an example of out-of-bound, and add a test for dilation

* Import optional outputs as NoneType

* Shape inference for ONNXLSTM

* Edit ONNXLSTM::inferShape()

* Shape inference for ONNXLSTMOp

* Create a common function for inferring shape for RNN ops

* CheckInsertDeallocation for a specific result

* Allocate memory for LSTM

* First round of lowering

* Allocate memory for hidden and cell states

* Test with custom Tanh

* Fix an error in Ct's formula

* Add E2E tests

* Return outputs

* Refactor the code

* Enable E2E tests

* Support reverse and bidirectional directions

* Minor revision

* Return all intermediate hidden states

* Call existing activation functions

* Structs for activation functions

* Call existing activations in ONNX

* Minor revision

* Compare strings ignoring case

* Use memreftype of rank 0 for calling activation functions

* Fix getActivationPack()

* Revise the code

* Add one MLIR test

* Add MLIR tests for reverse and bidirectional modes

* Make the order of emiting instructions deterministic

* Use OperandAdaptor instead of directly use an operand index

* Use literal assignments

* Change some variable names

* Use literal assignments

* Use literal assignments

* Format the code

Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-05-13 21:08:06 +08:00
Tung D. Le 9a874007ce
Implement shape inference for SplitOp (#95)
* Implement shape inference for SplitOp

* Change spitOpt to SplitAttribute and check the axis range before updating the axis attribute

Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-05-13 18:07:27 +08:00
chentong319 7c29da191e
import onnx ml operations as a separate dialect (#97)
* generate MLONNX dialect

* Add MLONNX to Builder

* add MLONNX dialect operation document

* fix the format issues

Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-05-12 18:43:44 -04:00
Chun-Wei Chen 41b595fc1e
Enable Build on Windows again and Update CI badge (#115)
* Use && instead of and for Windows

* Simulate fork on Windows by redirecting stderr

* Use exisiting onnx-mlir instead of cloning from master
2020-05-12 23:00:19 +08:00
Chun-Wei Chen da80e67bfe
Add buildbot on Windows via Azure Pipeline (#107)
* add buildbot on Windows via Azure Pipeline

Use Py 3.7 instead of 3.6

* Add status badge for Azure Pipeline

* reuse original cmd files, couple build and test on Windows-CI

* Update Python version on .yml

Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-05-08 12:18:40 +08:00
David Byrd de9e9edc4d
implement shape inference for negate (#108)
Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>
2020-05-07 11:42:43 +08:00
Tian Jin fad2ad7d03
Make onnx-mlir work with latest mlir. (#93)
* Make onnx-mlir work with latest mlir.

* Bump CircleCI cache version.

* Fix missing passes in onnx-mlir-opt.

* Fix backend test failure.

* Fix doc.

* Fix doc and exclude the generated _site directory from DocCheck.

* Remove debug code.

* Do not hard code target name, on Mac shared lib can end with .dylib.

* FunctionPass -> PassWrapper.
2020-04-27 17:03:56 +08:00
Byron Changuion c567781fa3
Add support for Windows using Visual Studio Compiler (#86)
* Move to more recent LLVM commit ID

* Update LLVM cache version from V9 to V10

* Update to latest LLVM commit id from master, roll back conditions in util scripts

* Update circlci LLVM cache tag to ensure ci updates builds with latest LLVM commit id

* Update README.md to have matching LLVM commit id

* Update doc/Dialtects/onnx.md

* Enable onnx-mlir for VS builds on Windows

* Update README to include lit

* Update build command for Windows to include config

* Update build instructions, add cmd files for windows, enable single source of truth for MLIR commit-id (clone-mlir.sh)

* Add Visual Studio workload info

* Update ONNX op definitions

* Revert onnx submodule back to previous commit, disable warnings in CMakeLists to work around build issues with MSVC

* Update environment for path to PDcurses on Windows

* Fix directory strings to be compatible with Windows or Linux style slashes

* Fix install-mlir.sh so it works when sourced

* Ensure README and cmd files match and have correct paths

* Properly quote ONNX_MLIR_SRC_DIR

* Address PR feedback: Use llvm_unreachable to indicate failure to convert attribute proto to name/value pair

Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-04-19 22:11:24 +08:00
chentong319 3119aebb50
fix the cmakefile (#81)
Co-authored-by: Tian Jin <tjingrant@gmail.com>
2020-04-11 16:03:41 +08:00
Tian Jin 7dba324404
Setup Documentation Page using Github Pages (#76)
* Setup documentation server, move doc files from /doc to /docs as per Github Pages convention.

* Include deleted files in patch.

* /doc -> /docs

* /doc -> /docs

* Update documentation on importing ONNX spec into ONNX Dialect; provide documentation on how to add new documentation pages.
2020-04-09 23:37:04 +08:00
Tian Jin c9199c9061
Programmatically ensure ONNX Dialect related generated files are up-to-date. (#58)
* Generate ONNX Dialect TableGen Inc files & operation importing inc files when necessary.

* Ensure TableGen inc file is generated before TableGen is invoked.

* Nit: capitalize builder -> Builder.

* Use file-same-as-stdout directive to ensure generated files are always up-to-date in our codebase.

* Use more up-to-date version of ONNXOps.td.inc.

* Do not automatically invoke gen_doc.py.

* Support dry run in gen_doc.py.

* Fix case.

* Remove debug code.

* Add test for new doc_check primitive.

* Add documentation for file-same-as-stdout.

* Provide more comments.

* Add DocCheck to DocCheck README.

* Nit: format CMake script.

* Update comments.

Co-authored-by: Alexandre Eichenberger <alexe@us.ibm.com>
2020-04-08 15:00:34 +08:00
Byron Changuion b65e77305c
Move to more recent LLVM commit ID (#64)
* Move to more recent LLVM commit ID

* Update LLVM cache version from V9 to V10

* Update to latest LLVM commit id from master, roll back conditions in util scripts

* Update circlci LLVM cache tag to ensure ci updates builds with latest LLVM commit id

* Update README.md to have matching LLVM commit id

* Update doc/Dialtects/onnx.md
2020-04-01 12:38:34 -04:00