Cody Yu [Thu, 27 Feb 2020 20:38:54 +0000 (12:38 -0800)]
Move Ops in relay.op.contrib.* (#4942)
* move contrib
* lint
* address comment
* address comment
maheshambule [Thu, 27 Feb 2020 19:40:30 +0000 (01:10 +0530)]
[Frontend] [MXNet] make_loss operator support (#4930)
* make_loss test case
* mxnet frontend make_loss support
* added comment for make_loss
* pylint fix
* Update mxnet.py
zhengdi [Thu, 27 Feb 2020 16:43:10 +0000 (00:43 +0800)]
[RELAY] fix error message (#4945)
Tianqi Chen [Thu, 27 Feb 2020 05:10:47 +0000 (21:10 -0800)]
[REFACTOR][PY][API-CHANGE] Remove legacy python files. (#4943)
* [REFACTOR][PY][API-CHANGE] Remove legacy python files.
Remove legacy python files.
Use the te namespace for most of the tensor expression primitives.
- tvm.create_schedule -> tvm.te.create_schedule
- tvm.placeholder -> tvm.te.placeholder
- tvm.compute -> tvm.te.compute
* Remove top-level exposures.
Tianqi Chen [Thu, 27 Feb 2020 00:44:09 +0000 (16:44 -0800)]
[TUTORIAL] Fix tedd tutorial after strategy change (#4947)
* [TUTORIAL] Fix tedd tutorial after strategy change
* Remove scale, remove link to external gdoc
Hua Jiang [Wed, 26 Feb 2020 23:52:28 +0000 (15:52 -0800)]
[VTA] YoloV3 Support (#4887)
* [VTA] YoloV3 Support
Issue:
YoloV3 use some operator and logic that not get good support by
existing vta logic, like nn.pad, upsample, and 255 output channel.
Solution:
add related logic to let darknet YoloV3 can running on VTA
* Fix small(0, or 1 heigh/width) detect frame issue.
* add yolov3-tiny turtorial
* add os import
* address review comments.
* rename tutorial file with a short name.
* rename deploy_vision_on_vta.py into deploy_classification.py.
* address review comment, fix plint eror in deploy_detection.py
Ina Dobreva [Wed, 26 Feb 2020 23:43:11 +0000 (01:43 +0200)]
[Frontend][TFLite] Add parser support for 'square' operator (#4915)
* [Frontend][TFLite] Add parser support for square operator
* Add parser implementation
* Add relevant tests
* Note: 'square' is an unary elemwise operator but it's added separately
in the parser since there is no Relay 'square' op
and instead we have to use 'multiply'
* Change relay operation from 'multiply' to 'power'
* Remove a redundant line as requested
Nick Hynes [Wed, 26 Feb 2020 21:44:32 +0000 (13:44 -0800)]
Remove SGX toolchain installation from CI Dockerfile (#4948)
Zhi [Wed, 26 Feb 2020 18:01:27 +0000 (10:01 -0800)]
[Relay][pass] call graph for relay (#4922)
* call graph for relay
* CallGraphEntryNode->CallGraphEntry, __getitem__->print_var
* fix typos
Alex Wong [Wed, 26 Feb 2020 05:41:53 +0000 (21:41 -0800)]
[Tutorial] Add a tutorial for PyTorch (#4936)
* Add a tutorial for PyTorch
* Fix sphinx formatting, add version support
* Remove space
* Remove version check
* Some refactoring
* Use no grad
* Rename input
* Update cat img source
Haichen Shen [Wed, 26 Feb 2020 05:39:16 +0000 (21:39 -0800)]
Bump up dev version (#4941)
* bump up dev version
* update
Neo Chien [Wed, 26 Feb 2020 04:23:27 +0000 (12:23 +0800)]
[DOCS] Fix Sphinx Warning: the target found for cross-reference (#4925)
* [DOCS] Fix Sphinx Warnings: the target found for cross-reference warnings
* Fix the warning: undefined label
yongfeng-nv [Wed, 26 Feb 2020 04:21:08 +0000 (23:21 -0500)]
Tensor Expression Debug Display (TEDD) (#4651)
* Initial TEDD for publishing.
* 1. Fix lint issues. 2. Print intrin.body instead of intrin.name in Schedule Tree. 3. Add examples to top level APIs' comments. 4. Top level APIs don't print Dot string by default, unless outputdotstring is True.
* Fix more lint issues.
* Update top level API argument names and use raw strings to avoid Python lint warnings in the tests.
* Disable TEDD verification, but keep TE construction.
* Stop importing tedd to avoid failure.
* Separate data extraction and visualization. 1. Add API tedd.dump_json(schedule) to dump a json string for the schedule data for visualization. 2. Update tests. 3. Add a tutorial. 4. Add range information to IterVars.
* Update TEDD about InferBound failure. 1. TEDD doesn't call inferbound for DFG. 2. Update tutorial about the InferBound failure.
* 1. Import IPython only if SVG is requested. This is required to fix a tutorial publishing faliure. 2. Fix test about IPython availability check.
雾雨魔理沙 [Wed, 26 Feb 2020 01:35:49 +0000 (17:35 -0800)]
[WIP] Fixing an Infinite Loop case in UnmatchedChecker. (#4881)
* save
* save
* remove
* remove cerr
Yida Wang [Tue, 25 Feb 2020 21:14:58 +0000 (13:14 -0800)]
[Fix] remove unnecessary spliting in the cached chunk (#4935)
* remove unnecessary spliting in the cached chunk
* remove unnecessary spliting in the cached chunk
wpan11nv [Tue, 25 Feb 2020 11:32:21 +0000 (03:32 -0800)]
[LLVM] Fix build breaks from StringRef changes (#4923)
- llvm::StringRef to std::string conversion is explicit now.
Signed-off-by: Wei Pan <wpan11nv@nvidia.com>
Jon Soifer [Tue, 25 Feb 2020 04:53:24 +0000 (20:53 -0800)]
[Relay][External Codegen] Support data types for CSourceModuleCodegen args and output (#4934)
* Support int args and no extra buffers
* Fixes
* remove testing code
* fix style
* more style
* use const args
* style
Co-authored-by: Jon Soifer <jonso@microsoft.com>
Alex Wong [Tue, 25 Feb 2020 04:14:45 +0000 (20:14 -0800)]
[Relay] Add a PyTorch to Relay Parser (#4497)
* Add a PyTorch to Relay parser
* Add alexnet, googlenet, mnasnet, shufflenet wip
* Fix lint
* Remove fix for shufflenet
* Lower check
* Pull changes from neo-ai/tvm changes
* Remove commented out section
* Use infer_shape everywhere
* Change back to using trace instead of path in from_pytorch
* Parse state_dict to add param names
* Umbrella single_op under test_forwards
* Remove print and cleanup call
* Check if update to test broke CI
* Retrigger CI
* Add back in updated tests
* Try splitting up tests
* First pass at flexible typing, implemented for ones
* Add int32 for all ops
* Remove print statements
* Fix lint
* Broad except
* Add other tensor types
* Temporarily use old tests
* Retrigger CI
* Lower type names
* Use numpy to convert in dense op
* Fix lint
* Remove print
* Need to cleanup but verify int32 works for add
* Rough tests for different types, a lot of types are not supported on CPU
* Probably doesn't build, need to save work as I have to switch branches (constantly)
* Parse param type
* Remove print stmt in parser
* Clean up some code
* Working on flaot32 for bn
* Add resnet18 double type
* Fix lint
* Temporarily move PT tests first
* Temporarily add back refactored tests to fix mem issue
* Add more type test and temp remove some tests
* Comment out tests, hopefully CI prints a trace
* Get stack trace
* Remove operator dict key, rename op_name to node_id, remove dead code
* Make relay map a list
* Remove some hacky string stuff
* Move to PyTorch 1.4
* Remove input_type as param
* Remove _get_fill_value, fix full ops
* Remove unused code and combine ops for identity and none
* Remove fn_param
* Clean up main loop
* Remove useless if/else for outputs
* Remove ir_names, only used once
* Remove some string hacking
* Remove string parsing to get output name
* Fix bug with output sizes of nodes
* Use attributeNames in parse ops
* Remove continue and add_op in parse_op
* Do this everywhere, use assert instead of explciitly type casting
* Remove unnecessary swap
* Slight refactor for elemwise input parse
* Use a copy of graph everywhere
* Rename nid_to_node_name
* Refactor parse import prereqs
* Clean up input node kind check
* Clean up conditionals
* Clean up add_op
* Cleanup type for ones and zeros op
* Fix lint
* Add torch install to CI
* Actually use torch
* Try moving import torch to only where it's needed
* Import torch for CI
* Use take op for select
* Temporarily add ignore for jit inline pass for CI
* Use CompleteTensorType, might be a PT 1.2 only thing
* Use different types in elemwise op
* Use float16 ones
* Fix float16 test
* Remove the temp docker changes
* Remove temp test
* Temporarily comment out original tests
* Remove file
* Empty cache after each test
* Add some prints and lower input sizes
* Try using no grad
* Trying to globally set grad off
* Use no grad for torchvision
* Remove xfail tests
* Remove VGG and AlexNet due to some issues
* Combine pooling tests
* Remove extra test file
* Remove single op, remove larger pooling tests
* Remove maxpool3
* Remove debug prints
* Remove inference call and add no_grad in measure latency
* Use standard string start char
* Remove redundant infer_shape in slice
* Convert most to checks to just expr
* Remove extra paren
* More refactor of isinstance
* Add helper for creating typed constants
* Assert instead of return when no matching type
* Remove network variants
* Add no_grad when forward, remove deatch, fix lint
* Change isinstance to expr in transpose
* Use opnotimplemented, refactor
* Fix full ops, remove duplicate tests
* Never use shape field unless we know the type
* Remove comma, retrigger CI
* Add paren, retrigger CI
* Use inline if-else for flags
* Throw exception instead of assert
* Remove version check for CI
* Check version when doing inline pass
* Fix lint
* Lower more input sizes
* Add new line, conv2d only accepts weight as expr
* Use tvm.runtime.ndarray
* Remove change to torch version install
* Try no grad for mobilenet
* Fix lint
* Fix lint again
* Revert to last passing
* Delete test files
* Ignore lint
* Revert back
* Comment out mobilenet
* Clean up compare compiled and baseline outputs
* Use IRModule
* Add todos
* Refactor use_bias
* Add todo for fix conv op channels
* Change input to data type
* Remove todo
* Handle channel multiplier > 1
vizero1 [Tue, 25 Feb 2020 03:55:27 +0000 (04:55 +0100)]
Use opencv reisze method for preprocessing of image in darknet (#4883)
* Use opencv reisze method for preprocessing of image in darknet
* Use opencv reisze method for preprocessing of image in darknet
* Fix pylint issues
Samuel [Tue, 25 Feb 2020 03:39:10 +0000 (09:09 +0530)]
[FRONTEND][KERAS]GaussianDropout/Noise parsing support (#4928)
GaussianDropout & GaussianNoise are active only during training time. This can be skipped during inference.
Haichen Shen [Mon, 24 Feb 2020 21:12:03 +0000 (13:12 -0800)]
[Relay][AutoTVM] Relay op strategy (#4644)
* relay op strategy
fix lint
bitpack strategy
bitserial_dense (#6)
* update strategy
* address comments
fix a few topi test
Dense strategy (#5)
* dense
* add biforst; remove comments
* address comment
Refactor x86 conv2d_NCHWc (#4)
* Refactor x86 conv2d
* Add x86 depthwise_conv2d_NCHWc
* Add back topi x86 conv2d_nchw
* Merge x86 conv2d_nchw and conv2d_NCHWc
* Minor fix for x86 conv2d
fix more strategy
Add x86 conv2d_NCHWc_int8 strategy (#8)
* Add x86 conv2d_NCHWc_int8 strategy
* Remove contrib_conv2d_nchwc_int8
* Fix generic conv2d_NCHWc for int8
* Fix topi arm_cpu conv2d_NCHWc_int8
update x86 conv2d
enable specify relay ops to be tuned for autotvm
add cuda conv2d strategy
add conv2d strategy for rocm
add conv2d strategy for hls
add conv2d strategy for arm cpu
add conv2d strategy for mali
add conv2d strategy for bifrost
add conv2d strategy for intel graphics
clean up and fix lint
remove template keys from autotvm
remove 2 in the func name
address comments
fix
* fix bugs
* lint
* address comments
* add name to op implement
* Modify topi tests (#9)
* Add pooling, reorg, softmax and vision
* Add lrn
* fix topi test
* fix more topi test
* lint
* address comments
* x
* fix more tests & bugs
* Modify more tests (#10)
* Modify tests for bitserial_conv2d, bitserial_dense, bitserial_conv2d_rasp and bnn
* Minor fix
* More minor fix
* fix more test
* try to update vta using strategy
* fix cpptest
* x
* fix rebase err
* Fix two tests (#11)
* change autotvm log format
* lint
* minor fix
* try fix vta test
* fix rebase err
* tweak
* tmp hack for vta pass
* fix tutorial
* fix
* fix more tutorials
* fix vta tutorial
* minor
* address comments
* fix
* address comments
* fix cpptest
* fix docs
* change data structure name and api
* address comments
* lint
* fix rebase err
* updates
* fix winograd test
* fix doc
* rebase
* upgrade tophub version number
* fix bug
* re-enable vta tsim test after tophub is upgraded
* fix vta test to use the correct args so the config can be found in tophub
Co-authored-by: Yao Wang <kevinthesunwy@gmail.com>
Leyuan Wang [Fri, 21 Feb 2020 22:31:04 +0000 (14:31 -0800)]
[Fix] Fix get_valid_count flaky test for cuda (#4901)
* get_valid_count accuracy issue fixed for individual tests but not for all tests running together
* minor fix
* initialize valid_count and PrefixSum buffers
* test updated
* udpate relay test as well
* update document
* fix lint
* address comment
* fix lint
* correct atomicAdd identifier name
Neo Chien [Fri, 21 Feb 2020 21:03:41 +0000 (05:03 +0800)]
[TEST][FLAKY] topi/tests/python/test_topi_sort.py::test_argsort (#4891)
* [TEST][FLAKY] topi/tests/python/test_topi_sort.py::test_argsort
* upadate test function of argsort like topk
* Shuffle index and get data from shuffled index
* Replace the random.uniform with np.arange
Tianqi Chen [Fri, 21 Feb 2020 05:56:26 +0000 (21:56 -0800)]
[COMMUNITY] @anijain2305 -> Committer (#4921)
Ina Dobreva [Fri, 21 Feb 2020 04:10:45 +0000 (04:10 +0000)]
Fix tests for tflite unary elemwise operations (#4913)
* add TFLite version check for 'ceil' and 'cos'
* fix name check of test_op for positive inputs
* add error message for operator not found in the installed fbs schema
Orion34C [Fri, 21 Feb 2020 02:43:45 +0000 (10:43 +0800)]
[CODEGEN] Support cuda tensorcore subbyte int data type in auto tensorcore (#4546)
* support cuda tensorcore subbyte int data type in auto tensorcore
* add lisence
* pass cpplint
* fix code review comments
* merge the int4/int1 codegen tutorial into the existing auto tensorcore tutorial
* using master's new API
* disable tuning when cuda is not enabled
* address cr comment
* do not run the tuning
* fix test failure
* fix cpplint error
* fix bool type reduction bug
* 1. fix a index bug 2. fix returned bytes value of int1/int4/uint4
* fix typo
Cody Yu [Thu, 20 Feb 2020 22:09:34 +0000 (14:09 -0800)]
[DOCS] Fix Sphinx Warnings (RST indent, cross-ref, and image scale) (#4920)
* fix indents
* Fix image scale and cross-ref
wpan11nv [Thu, 20 Feb 2020 17:25:35 +0000 (09:25 -0800)]
[Relay] Fix an assertion exposed by loop vectorizer (#4916)
- Allows uniform conditions for select expressions (the same as halide)
exposed by the loop vectorizer.
Signed-off-by: Wei Pan <weip@nvidia.com>
Cody Yu [Thu, 20 Feb 2020 17:24:37 +0000 (09:24 -0800)]
[DOCS] Fix sphinx warnings (#4917)
* Fix Python docstrings
* More fixes
* Fix lint
Tianqi Chen [Wed, 19 Feb 2020 21:14:42 +0000 (13:14 -0800)]
[REFACTOR] Polish ffi convention. (#4912)
* [REFACTOR] Polish ffi convention.
- Remove the src/api, keep registration local to the c++ function.
- Remove the api_internal as it is no longer needed.
* Update the codebase walk through
hcyang [Wed, 19 Feb 2020 06:33:16 +0000 (14:33 +0800)]
[RELAY][FRONTEND][TF] Fix FuseBatchNorm output cast error if need_cast is True (#4894)
Andrew [Wed, 19 Feb 2020 02:03:03 +0000 (18:03 -0800)]
Fix tvm.target.generic_func runtime detection (#4910)
Tianqi Chen [Tue, 18 Feb 2020 23:39:59 +0000 (15:39 -0800)]
[DOCS] Update API docs to reflect the status after the refactor. (#4907)
Jon Soifer [Tue, 18 Feb 2020 21:44:59 +0000 (13:44 -0800)]
[Relay] Expose FunctionGetAttr to Python (#4905)
* [Relay] Expose FunctionGetAttr to Python
* add test
Co-authored-by: Jon Soifer <jonso@microsoft.com>
Josh Fromm [Tue, 18 Feb 2020 18:24:22 +0000 (10:24 -0800)]
[Relay][Frontend][Keras] NHWC import support. (#4899)
* Basic test working
* Almost all tests working.
* all tests passing.
* Fixed lint.
* Improved Style.
Tianqi Chen [Tue, 18 Feb 2020 16:14:12 +0000 (08:14 -0800)]
[REFACTOR][PY] Establish tvm.arith (#4904)
Tianqi Chen [Tue, 18 Feb 2020 05:40:19 +0000 (21:40 -0800)]
[CI] Add autodocsum as dep (#4902)
Tianqi Chen [Tue, 18 Feb 2020 04:56:45 +0000 (20:56 -0800)]
[CI] Update ci docker to add autodocsumm (#4903)
pankratz [Tue, 18 Feb 2020 02:48:05 +0000 (19:48 -0700)]
Fixed bugs that occured when using bitwise operators on floating point type expressions. Further crash when using ops <<, >>, %. Finally added regression tests for both types of bug. (#4892)
Tianqi Chen [Tue, 18 Feb 2020 02:47:09 +0000 (18:47 -0800)]
[REFACTOR][PY] Establish tvm.te and tvm.driver (#4900)
- Move the related files to tvm.te
- Move build_module.py to tvm.driver
Jon Soifer [Mon, 17 Feb 2020 20:18:15 +0000 (12:18 -0800)]
[Relay][Pass] Fix bug in re-processing call node in MergeComposite pass (#4879)
* Fix bug in re-processing call node
* Add test
* Add to main
* temp changes to work from another machine
* fix rest of tests
* fix test_reuse_call_merge
* fix merge
Co-authored-by: Jon Soifer <jonso@microsoft.com>
Tianqi Chen [Mon, 17 Feb 2020 18:53:05 +0000 (10:53 -0800)]
[DOCS] Introduce how to add hardware backend to FAQ (#4898)
Alex Gladkov [Mon, 17 Feb 2020 17:22:11 +0000 (09:22 -0800)]
Fast exponent (#4790)
Baden Hughes [Mon, 17 Feb 2020 01:56:25 +0000 (11:56 +1000)]
Update faq.md (#4893)
various minor editorial updates - style, grammar, typos.
Zhi [Mon, 17 Feb 2020 01:44:22 +0000 (17:44 -0800)]
Fix alpha_equal bug (#4897)
Tianqi Chen [Sun, 16 Feb 2020 23:02:39 +0000 (15:02 -0800)]
[CI] Cleanup logfile before tutorial runs (#4896)
masahi [Sun, 16 Feb 2020 06:43:22 +0000 (15:43 +0900)]
[Relay] Fix VM compiler for while loop with free vars (#4889)
* add additional switch to handle nested call node
* Fix VM compiler for while loop with free var
wpan11nv [Sun, 16 Feb 2020 03:47:36 +0000 (19:47 -0800)]
[CodeGen][CUDA] Fix issues in cuda codegen (#4876)
- Do not emit __shared__ etc. as part of type for casting
- Fix fp16 reduction kernels with compiler errors:
"no operator "+" matches these operands, volatile half + volatile half
This patch inserts casts to remove volatile type qualifier following
volatile loads (fp16 only). CUDA fp16 library headers should add
volatile member functions.
- Update have_fp16 to include compute 6.1 GPUs, which do support fp16,
although their fp16 throughput is low. Updated tests.
Signed-off-by: Wei Pan <weip@nvidia.com>
masahi [Sat, 15 Feb 2020 18:32:58 +0000 (03:32 +0900)]
improve antlr import error message (#4888)
Cody Yu [Sat, 15 Feb 2020 04:15:47 +0000 (20:15 -0800)]
[AutoTVM] Support range in index based tuners (#4870)
* Support range in index based tuners
* Address comments
* Remove __*state__
* trigger CI
masahi [Sat, 15 Feb 2020 01:12:06 +0000 (10:12 +0900)]
[QNN] Add support for per channel weight scale in dense op (#4880)
* add test case for per channel dense
* add unit arg in tflite frontend
* update qnn legalize test
* fix output dim index
masahi [Fri, 14 Feb 2020 04:28:07 +0000 (13:28 +0900)]
[QNN] More doc fix on quantize and convolution (#4874)
* [QNN] Doc fix on quantize and convolution
* update test
wpan11nv [Fri, 14 Feb 2020 04:24:29 +0000 (20:24 -0800)]
[TOPI][CUDA] Enable vectorization on fp16 type (#4867)
- This allows to better utilize the memory bandwidth
- Note that not all cases are vectorized for fp16 datatype. For
instance, when the size is not a multiple of 1024, the inner loop
may be an expression that cannot be vectorized. In this case, a
small inner loop is still benefical for latency hidding.
Signed-off-by: Wei Pan <weip@nvidia.com>
tqchen [Wed, 12 Feb 2020 23:38:39 +0000 (15:38 -0800)]
[REFACTOR][PY] Establish tvm.tir
- Move related files into the corresponding location as in C++
- Keep the top-level TVM API backward compatible to make minimum changes in topi
Zhi [Wed, 12 Feb 2020 16:14:36 +0000 (08:14 -0800)]
Update docs/dev/virtual_machine.rst
Co-Authored-By: Wei Chen <ipondering.weic@gmail.com>
Zhi [Wed, 12 Feb 2020 16:14:27 +0000 (08:14 -0800)]
Update docs/dev/virtual_machine.rst
Co-Authored-By: Wei Chen <ipondering.weic@gmail.com>
Zhi Chen [Tue, 11 Feb 2020 04:52:20 +0000 (04:52 +0000)]
fix vm doc
Alex Gladkov [Thu, 13 Feb 2020 06:38:15 +0000 (22:38 -0800)]
Optimize x86 conv3d_ndhwc using data packing approach. (#4866)
Add tuneable conv3d_ndhwc schedule
mbarrett97 [Thu, 13 Feb 2020 02:07:58 +0000 (02:07 +0000)]
[FRONTEND][TFLITE] Add support for TFLite_Detection_PostProcess (#4543)
* [FRONTEND][TFLITE] Add support for TFLite_Detection_PostProcess
This adds support for the custom operator
TFLite_Detection_PostProcess which is commonly used in
object detection networks such as SSD Mobilenet. It
only adds support for when use_regular_nms = False.
Change-Id: I819b253c0eb6f0fa55da65d2634e09359b888828
* Added a test for the tflite custom op
Change-Id: Ie5baa092deae9a8bcffd2ebd9f6d346b90e58afd
* Removed trailing comma
Change-Id: Ib08f02b5f1a59a883048bfb36e4321152cd2e7f2
* Added spaces between divide
Change-Id: If1171fc03d211a809cedeb800804394972af4060
* Formatted comment
Change-Id: I3ce7e69b8d2c73aec57369c1c64ea1eec07f087b
* Reduced line length in test
Change-Id: I49eaafc3369070f8f3e85fbb965ad20972096c68
* Set random seed for test
Change-Id: I542a787d11422ea83c52147b2cb1144fcef0dd77
* Fixes to style
Change-Id: I2971b8ecebe08c882b2481a99f67cfbe515e0b1f
* Assert for incorrect number of inputs
Change-Id: I393f3b3b62be73e427498d98456fb1d5a214e0af
* Change comparison to pass linting
The linter was updated, so I needed to fix
a small style issue as a result.
Change-Id: Ia3c954565a00de92e7fb1912eae9ed9875d60c7c
tqchen [Wed, 12 Feb 2020 21:39:45 +0000 (13:39 -0800)]
[REFACTOR][PY][API-CHANGE] Establish tvm.target
Move the related target modules into tvm.target.
API change:
- tvm.target.current_target -> tvm.target.Target.current
- tvm.datatype -> tvm.target.datatype
tqchen [Wed, 12 Feb 2020 19:20:23 +0000 (11:20 -0800)]
[JVM] Update the runtime PackedFunc for module
tqchen [Wed, 12 Feb 2020 05:41:47 +0000 (21:41 -0800)]
Fix optimize
tqchen [Wed, 12 Feb 2020 04:36:20 +0000 (20:36 -0800)]
[DOCS][PY] Sphinx docs about tvm.ir
Tianqi Chen [Wed, 12 Feb 2020 04:01:36 +0000 (20:01 -0800)]
[REFACTOR][PY][API-CHANGE] establish tvm.ir, migrate corresponding files (#4862)
* [REFACTOR][PY][API-CHANGE] establish tvm.ir, migrate corresponding relay files.
This PR establishes tvm.ir and migrates the corresponding relay
files into the new folder.
API Change:
- relay.Module -> tvm.IRModule
* Update with ADT
* Migrate transform
* address comments
* Migrate module
* Migrate json_compact
* Migrate attrs
* Move LoweredFunc to stmt temporarily
* temp migrate container
* Finish migrate container
hlu1 [Tue, 11 Feb 2020 22:46:50 +0000 (14:46 -0800)]
[Topi] Missing header (#4865)
kice [Tue, 11 Feb 2020 21:44:48 +0000 (16:44 -0500)]
Fix onnx import bugs (#4750)
* Fix onnx import bugs
Fix onnx attributes of string type incorrect handling
Merge symmetric padding of Conv to symmetric form
* Only merge symmetric padding for conv2d
Zhi [Tue, 11 Feb 2020 20:04:04 +0000 (12:04 -0800)]
[Refactor] move vm.py under runtime and adt to runtime.container.py (#4855)
masahi [Tue, 11 Feb 2020 17:56:14 +0000 (02:56 +0900)]
add resize op converter (#4838)
hlu1 [Tue, 11 Feb 2020 16:52:25 +0000 (08:52 -0800)]
[TVM] const auto p -> const auto &p (#4861)
hlu1 [Tue, 11 Feb 2020 16:45:17 +0000 (08:45 -0800)]
[LLVM] Explicit llvm::StringRef to std::string conversion (#4859)
Lianmin Zheng [Tue, 11 Feb 2020 09:58:36 +0000 (01:58 -0800)]
[RUNTIME] Fix memory leakage of TVMByteArray (#4856)
Animesh Jain [Tue, 11 Feb 2020 02:56:37 +0000 (18:56 -0800)]
[TFLite] Using real image for QNN testing. (#4816)
* [TFLite] Using real image for QNN testing.
* Setting seed for SSD mobilenet for fixed input.
* Support quantized Pad op.
* Remove unnnecessary line.
* Ina comments.
Leyuan Wang [Mon, 10 Feb 2020 22:13:35 +0000 (14:13 -0800)]
reverse changes in pr #4849 (#4853)
mbarrett97 [Mon, 10 Feb 2020 19:39:20 +0000 (19:39 +0000)]
[Relay] Added Merge Composite pass (#4771)
* [Relay] Added MergeComposite pass
This pass allows for patterns to be wrapped
in a function marked with 'Composite' and a
composite function name. This is intended to be
used with the external codegen for the cases where
an external operator maps to multiple Relay
operators. In that case, the mapping can be expressed
as a pattern and assigned a name.
For more information on this pass and its motivation,
see the RFC:
https://discuss.tvm.ai/t/rfc-external-codegen-defining-composite-relay-operators/5470
Change-Id: Icb1b803a9f0ac57c529143200228f3bb5793afc0
* [Relay] Merge composite tests
Added tests for the merge_composite pass.
Change-Id: I1728b4a05b0c1c36140a40f1afe028fde62185dd
* Merge composite additional test
Change-Id: I9bc7d6053c575e9468ac5abc31214c6ad8507e46
* Support priority order in merge_composite
The order in which the patterns are matched
was currently random as an unordered_map was
used to store the pattern table. This uses
arrays instead so that a distinct priority
order of matching can be defined. Additional
tests have also been added to verify this
behaviour.
Change-Id: Ief347df4262639138d5d9d7c8cee7ef233af7b56
* Improved merge composite docs
Change-Id: Ie3a72045ecc3f13ad3c302fbdf192b7296a306a8
* Removed unused variable
Change-Id: I7814d5fde368ffaf1b3d6d806060c774c7720364
* Remove unnecessary op check
Change-Id: I38e78d2acd5b86cb8e837be72ff9d72cd10bcf33
* Improve styling on composite function creation
Change-Id: I37add1c3134e0b5d5085fe1eb9daf8e06890fa8c
* Comment reword
Change-Id: Ie05872dcbbe0c3e1190b0597083b9a64e6b66c66
* Stylistic changes to avoid std::move
Change-Id: I43a93995bbf10530399900c992aa99dd4ae4575f
* Relax a check in ExtractPattern
Change-Id: I0faef77a66c55f83f09e6e47c561ffaea63dedfa
* Remove new line
Change-Id: Ifdd02c12087a7e1a0a9b54825669bc0de8f13c3d
* Removed MatchPattern from MergeComposite
This is not necessary now that ExtractPattern
can fulfill the same purpose.
Change-Id: I14dc020afa8e50f2df4c0a2efb88a011987f8196
* Removed a new line
Change-Id: I8b50f0c9069aa1bcaccbe68eb421031f01a64842
* Improved docs for merge composite
Change-Id: Ib1959a35c856e7ea5639de2e4ef314a54f44caf5
* Fixed free vars in test
Change-Id: I2b7f273db275964ec0e9820560663f0808adee79
* Handle case where root arg might not be a call
Change-Id: I4eeea3ce723d3ba337d110dcc690377daebe8626
* Removed blank line
Change-Id: I07f5392c0e95cfe3cfa5c333703cc6f82d6034fb
* Change to CHECK_EQ
Change-Id: I5c5d62d3cd57f72508b30b926f72091ae6f0d1cc
* Revised a conditional
Change-Id: I23a7897ca15a7cd076db5039dc653a4b8c27e803
* Improved doc styling
Change-Id: I377f0a1c1ac70f3b8d7584b0c49bddc8c6c134ef
* Fail extraction if vars conflict
Change-Id: I78e36d805e8ed6b55e61d490212a967c857554a4
* Added further merge composite tests
Change-Id: Ib1d800409fca4c1834c7fe0cab5a26ab99a26820
Co-authored-by: lhutton1 <35535092+lhutton1@users.noreply.github.com>
pankratz [Mon, 10 Feb 2020 19:33:51 +0000 (12:33 -0700)]
Fixed bug in ExprOp that caused bitwise operators to fail when a basic python type was on the left hand side of the expression. Added regression test for crashing cases. (#4852)
Wang Yucheng [Mon, 10 Feb 2020 17:54:58 +0000 (01:54 +0800)]
[Frontend][TFlite] use qnn helper function in softmax (#4840)
Tianqi Chen [Sun, 9 Feb 2020 17:12:19 +0000 (09:12 -0800)]
[CI][DOCKER] Update ci-lint to pylint2.4.4 (#4851)
Tianqi Chen [Sun, 9 Feb 2020 05:42:36 +0000 (21:42 -0800)]
[CI] Update ci-lint to v0.60 (#4850)
Tianqi Chen [Sun, 9 Feb 2020 03:45:17 +0000 (19:45 -0800)]
[LINT][PY] Fixes for pylint==2.4.4 (#4849)
Tianqi Chen [Sat, 8 Feb 2020 22:05:21 +0000 (14:05 -0800)]
[TEST] test_cuddn flaky (#4846)
Seyyed Hossein Hasanpour [Sat, 8 Feb 2020 18:48:16 +0000 (22:18 +0330)]
Fixed process termination routine in windows (#4844)
* Fixed process termination routine in windows
addresses and Fixes AttributeError: module 'os' has no attribute 'killpg' error in #4821
* Update server.py
Cody Yu [Fri, 7 Feb 2020 22:34:14 +0000 (14:34 -0800)]
[Doc][AutoTVM] Fix bugs that override n_trials (#4842)
ziheng [Fri, 7 Feb 2020 21:41:35 +0000 (13:41 -0800)]
[COMMUNITY] comaniac -> reviewer (#4841)
Tianqi Chen [Fri, 7 Feb 2020 17:15:08 +0000 (09:15 -0800)]
[REFACTOR][PY][API-Change] Polish tvm.runtime, tvm.runtime.module API update (#4837)
* [REFACTOR][PY-API] Polish tvm.runtime, tvm.runtime.module API update
This PR updates the tvm.runtime to use the new FFI style.
- Remove top-level tvm.module to avoid confusion between runtime.Module and IRModule
- API changes wrt to runtime.Module
- tvm.module.load -> tvm.runtime.load_module
- tvm.module.enabled -> tvm.runtime.enabled
- tvm.module.system_lib -> tvm.runtime.system_lib
- Remove dep on api_internal from runtime.
* Update module.load in the latest API
Wang Yucheng [Fri, 7 Feb 2020 11:57:34 +0000 (19:57 +0800)]
[Frontend][TFLite] Add MIRROR_PAD operator (#4822)
Ina Dobreva [Fri, 7 Feb 2020 10:23:55 +0000 (10:23 +0000)]
[Relay][Frontend][TFlite] Add support for quantized LOGISTIC (#4696)
* [Relay][Frontend][TFlite] Add support for quantized LOGISTIC
* add qnn implementation
* add qnn test case for qnn logistic
* Helper functions for quantize and dequantize.
Animesh Jain [Thu, 6 Feb 2020 22:13:08 +0000 (22:13 +0000)]
[Doc] ConvertLayout - Call RemoveUnunsedFunctions.
Tianqi Chen [Fri, 7 Feb 2020 02:12:13 +0000 (18:12 -0800)]
Improve tol to resolve flaky case (#4836)
Josh Fromm [Fri, 7 Feb 2020 02:09:10 +0000 (18:09 -0800)]
[Frontend][ONNX] LSTM Support (#4825)
* Initial version working and passing tests.
* WIP on supporting other activations.
* add support for multiple activation functions in lstm
* All tests working and code cleaned up.
* Undo import swap to avoid conflict with masahi.
* Added new tests and related bug fixes.
Co-authored-by: Matthew Brookhart <mbrookhart@octoml.ai>
Zhao Wu [Fri, 7 Feb 2020 02:03:20 +0000 (10:03 +0800)]
[Doc] Introduction to module serialization (#4564)
Zhi [Fri, 7 Feb 2020 01:38:48 +0000 (17:38 -0800)]
Fix doc after moving to unified IR (#4835)
Tianqi Chen [Thu, 6 Feb 2020 19:58:22 +0000 (11:58 -0800)]
[CI][DOCKER] Update ci-gpu torch1.4 and onnx1.6 (#4826)
Tianqi Chen [Thu, 6 Feb 2020 19:58:11 +0000 (11:58 -0800)]
[CI][DOCKER] Update ci-gpu to v0.60 (#4827)
Just do it [Thu, 6 Feb 2020 17:25:06 +0000 (01:25 +0800)]
It's gpu not cpu. (#4832)
abergeron [Thu, 6 Feb 2020 03:24:42 +0000 (22:24 -0500)]
[TOPI][Relay] Add bitwise ops (#4815)
* Add bitwise ops to topi
* Add the bitwise ops to relay.
Tianqi Chen [Thu, 6 Feb 2020 02:49:24 +0000 (18:49 -0800)]
[CONTRIB][CC] Enhance cc.cross_compiler (#4817)
* [CONTRIB][CC] Enhance cc.cross_compiler
- Enhance cc.cross_compiler to take str argument.
- Remove cc.build_create_shared_func as it is dupilicated with cross_compiler
- Add examples to cc.cross_compiler
* address review comments
Xingyu Zhou [Wed, 5 Feb 2020 23:33:45 +0000 (07:33 +0800)]
[Relay] Conv2D padding representation (#4787)
* enforce 4-way padding
* add util with get_pad_tuple
* delete unnecessary arguments
* fix lint
* add container.Array case
* fix cudnn conv2d asymmetric padding logic
* rename get_pad_tuple to get_pad_tuple2d
* revert change for topi/python/topi/nn/conv2d.py
* add get_pad_tuple2d for several contrib conv2d ops
* add get_pad_tuple2d for all conv2d ops
Ina Dobreva [Wed, 5 Feb 2020 20:12:44 +0000 (20:12 +0000)]
[Relay][Frontend][TFLite] Add parser support for logical operators (#4642)
* [Relay][Frontend][TFLite] Add parser support for logical operators
* Add parser support for logical_and, logical_or
* Add boolean dtype as a valid tensor type
* BOOLEAN dtype is supported only from tf 1.15
so logical ops work only in that and newer versions
* Logical_not is ommited since tflite can't convert it -->
throws errors for addv2
* Add TFLite vesion check in tests for logical ops
* Check is added because of boolean dtype lack of support
Animesh Jain [Wed, 5 Feb 2020 19:52:18 +0000 (11:52 -0800)]
[QNN] Optimize lowering for requantize and FixedPointMultiply. (#4798)
* [QNN] Optimize lowering for requantize and FixedPointMultiply.
* Add check for requantize scale gt 1.
* Added test case.
Ina Dobreva [Wed, 5 Feb 2020 19:51:59 +0000 (19:51 +0000)]
[Frontend][TFLite] Dynamically calculate input_stats of any fake_quant range (#4789)
* [TFLite] Dynamically calculate input_stats of any fake_quant range
* pass the input range to the convertor and caclulate (mean, scale) there
* change the range of the second tensor in elemwise operations
so that we test inputs with different quant params
* change the possible output range for elemwise ops wrt the updated ranges
* update the comments for (m, s) calculations
* add input range dict to reduce_mean op
* Apply requested changes
* add exception handling for zero division in input_stats
* fix range of the input tensor in elemwsie