S2d #2
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Signed-off-by: Dhruva Ray <dhruvaray@gmail.com>
…e#5316) * [RELAY][PYTORCH]isNan, isinf, isfinite, ceil, clamp, round ops * Review comments
Previously MakePackedAPI was in the target independent stage, but never the less requires the device_type information that will be binded at a later target dependent stage. The previous implementation was due to the limitation of LoweredFunc which can not carry buffer_map info(so they have to be lowered right away). This is no longer the case after the unified IR refactor. This PR migrates MakePackedAPI to a target dependent stage and removes the un-necessary BindDevice pass.
apache#5338) The older variants of CreateCall have been deprecated and were recently removed from LLVM. This caused compilation failures.
…mand (apache#5336) * when passing --net=host to build.sh it needs to be also sent as --network=host to "docker build", so that both build and run will use the same network configuration
…nous execution support. (apache#5324) * Cleanup type pack and unpack for tuples. * Clean up the memory_pass using common helpers * Clean up memory.cc * Refactor pass * Add doc strings * Fix CPPlint * Fix PyLint * Fix * Apply suggestions from code review Co-Authored-By: Zhi <5145158+zhiics@users.noreply.github.com> * Fix typo Co-authored-by: Zhi <5145158+zhiics@users.noreply.github.com>
* Windows Support for cpp_rpc * Add missing patches that fix crashes under Windows * On Windows, use python to untar vs wsl * remove some CMakeLists.txt stuff * more minor CMakeLists.txt changes * Remove items from CMakeLists.txt * Minor CMakeLists.txt changes * More minor CMakeLists.txt changes * Even more minor CMakeLists.txt changes * Modify readme
* [PYTORCH]take, topk op support * Ci Failure fix
* [TIR] Remove ProducerConsumer and AllocateNode::new_expr This PR removes two legacy IR parts in TIR that are deprecated. ProducerConsumer node only serves as a hint markup and may no longer be informative after extensive transformations in the pass. If necessary, we can add related info via AttrStmt. The new_expr field in the AllocateNode is deprecated since it can just be replaced by a LetStmt. - Remove dependencies of passes on ProducerConsumer. - Remove ProducerConsumer from the IR. - Remove the deprecated fields (new_expr, free_function) from AllocateNode. * Fix additional testcases
* Fix duplicate output in partitiongraph * Add test case * Fix test_annotated_regions with duplicate compiler_end outputs * Revert "Fix duplicate output in partitiongraph" This reverts commit e1f8ef3. * Prevent duplicate outputs in Tuple in PartitionGraph * Fix lint * Add another test case for when regions are merged, and when TupleGetItem was duplicated * Pull GetFunctionOutput out of branch, improve description of GetFunctionOutput * Use std::move for GetFunctionOutput. Fix typo with testcase name * Use tvm.transform.Sequential
…che#5321) * add pytorch tutorial code and doc stub * add more docs * formatting, more docs * typo fix * try make sphinx happy * add performance section * type and nit fix * format fix
- Changes most of the relay docs to use autosummary. - Bring relay API docs to the top-level flat view for easier discovery - Removed a few cases of re-exports.
…5262) * [RELAY][BYOC] Register pattern tables from external codegens This adds utility functions to support registering and retrieving pattern tables used by MergeComposite for external codegens. Change-Id: I5be165a321440e48b15ff6aff4970e0c67496aaa * Updated DNNL tests to use pattern table mechanism * Removed pattern table standalone test * Change reg to _op
Signed-off-by: windclarion <windclarion@gmail.com>
Default annotations were incorrectly being named 'defualt' which results in them not being removed in PartitionGraph.
…pache#5346) This file was added before the variable with TVM/RT was initialized. The initialization overwrote the addition.
* [TOPI-ARM] Do not alter layout if layout is NHWC * Add test.
…pache#5307) * support extent(threadIdx.x) < warp_size in lower_warp_memory * more docs for lower_warp_memory
Change-Id: Ia15c3c8f41f75423814e559f6fdb062098f19464
* [RUNTIME] FastRPC interface for Hexagon runtime Co-authored-by: Ravishankar Kolachana <quic_rkolacha@quicinc.com> Co-authored-by: Krzysztof Parzyszek <kparzysz@quicinc.com> * Explain store offset in a comment in launcher Co-authored-by: Abhikrant Sharma <quic_abhikran@quicinc.com> Co-authored-by: Ravishankar Kolachana <quic_rkolacha@quicinc.com>
* Non-Recursive AnnotatedTarget and MergeAnnotation * Non-Recursive AnnotatedRegionSet and RegionMerger
* [RFC] Pass pytest options globally. In many places having a global pytest flag is useful . For me with the build and test of tvm , I would like to be able to globally pass in pytest options as part of development flow or CI flows where one would like to measure other things regularly that need measurements including pytest coverage data that I would like to experiment with across the stack. This has been achieved with an additional setup-pytest-env.sh file in tests/scripts rather than putting in something in every single task test script and something I would like to avoid. This now means the -v option to pytest is superfluous. I did consider having a pytest.ini file but that doesn't allow me to pass any old environment variable in and this seems to be the compromise. * Improve other use case documentation * Rationalize pytest environment. * Remove the setting from docker/with_same_user. * Take the opportunity to migrate common PYTHONPATH and TVM_PATH into the common environment setting. * Fixup vta fsim * Be more explicit with common PYTHONPATH * Fix python path for task_python_vta_fsim.sh properly * Fix nit in documentation.
… str (apache#5426) To make runtime.String to work as naturally as possible in the python side, we make it sub-class the python's str object. Note that however, we cannot sub-class Object at the same time due to python's type layout constraint. We introduce a PyNativeObject class to handle this kind of object sub-classing and updated the FFI to handle PyNativeObject classes.
* [PYTORCH]Where, addcdiv, addcmul op support * Review comments fixed
* [FRONTEND][TFLITE]Gather, StridedSlice op added * Review comments fixed
Added missing "tir" in tvm.tir.analysis.verify_gpu_code(f, kwargs)
…5423) The _type_child_slots can be used to enable quick type checking optimization by checking the whether the type index is within the bound. This PR enables these static slots: - Introduce a static assert to avoid the scenario when a developer forget to _type_child_slots when the field is set for the type's parent. - Revamp and assign static type index to common runtime objects - Add a DumpTypeTable call to allow developer monitor the current situation of type table and offers suggestions for the slots(ideally the slots equals the number of children so there is no overflow.
* [RELAY][PYTORCH]cosh,sinh,log2,log10,log1p op support * Review comment fixed * Gradient testcase added
* Add TopK to ONNX Frontend * respond to review comments
- remove unnecessary white spaces from storage kind - do not start a new scope for vectorization as temporary variables are alll uniquely generated. The above two changes make vectorized code much cleaner. Signed-off-by: Wei Pan <weip@nvidia.com>
* [RELAY] Move frontend utils The util file currently under frontend is used from outside of frontend (in qnn/op/legalizations). This suggests that the file should be pushed up to a higher level. The benefit from this change is that importing qnn no longer also imports all the frontends. * Inline get_scalar_from_constant Change-Id: I1cc64e9ecb0eadb6ac0f7b62e6ea174644af4ad4 * Remove util.py from Relay Change-Id: If9cd7cf3fc0bd1861a3a9b5604f338e084d8db96 * Shorten functions Change-Id: Ieb537d82e6ee52421ff05a90cd00a03679ffebf2 * Line length Change-Id: I1d216b7e73a060c4f118f5da50ce58b18eba907f
…ate() (apache#5331) * Add operation relay.nn.dilate() which calls topi.nn.dilate(). * Fix typo * Set op pattern to injective
Signed-off-by: Dhruva Ray <dhruvaray@gmail.com>
Signed-off-by: Dhruva Ray <dhruvaray@gmail.com>
Signed-off-by: Dhruva Ray <dhruvaray@gmail.com>
Signed-off-by: Dhruva Ray <dhruvaray@gmail.com>
Signed-off-by: Dhruva Ray <dhruvaray@gmail.com>
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