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…e#3533) * [INFA][IR] Build and Evolve Low-level IR. Remove dep from HalideIR. * Update include/tvm/node/ir_functor.h Co-Authored-By: Jared Roesch <roeschinc@gmail.com> * Update include/tvm/node/ir_functor.h Co-Authored-By: Jared Roesch <roeschinc@gmail.com>
* [Relay][Quantization] Fix issue introduced in apache#3135 * Recover StopFusion * Fix fmultiref * Fix lint
* [ARITH][IR] Introduce FloorDiv/Mod * Address review comments * address review comments, fix div sub rule
…he#3526) * [TVM] Fix bound inference to avoid allocating too much * [ARITH][BOUND] Pass analyzer to PropBoundToInputs
* Enable set_input_zero_copy in GraphRuntime * Fix LoadParams * Fix * lint * Fix remote context issue * Fix * Remove LOG * Remove unused variables * Add tests * works * More test scenarios * make it simpler * Remove unnecessary changes * Address comments * More comments * Address comments * Fix build
* tmp * Port vm and object to python * clean up * update vm build module * update * x * tweak * cleanup * update * fix rebase * Rename to VMCompiler * fix
* Fix build error * comments
* [Relay][VM]Fix debug statement * Change debug statement
* [docs] Add a tutorial for the pass manager * address comment * address more comments * retrigger ci * address steven's comments * address comments * retrigger ci * Update docs/dev/relay_pass_infra.rst Co-Authored-By: Steven S. Lyubomirsky <slyubomirsky@gmail.com> * Update docs/dev/relay_pass_infra.rst Co-Authored-By: Steven S. Lyubomirsky <slyubomirsky@gmail.com> * Update docs/dev/relay_pass_infra.rst Co-Authored-By: Steven S. Lyubomirsky <slyubomirsky@gmail.com> * Update docs/dev/relay_pass_infra.rst Co-Authored-By: Steven S. Lyubomirsky <slyubomirsky@gmail.com> * Update docs/dev/relay_pass_infra.rst Co-Authored-By: Steven S. Lyubomirsky <slyubomirsky@gmail.com> * Update docs/dev/relay_pass_infra.rst Co-Authored-By: Logan Weber <36520469+weberlo@users.noreply.github.com> * Update docs/dev/relay_pass_infra.rst Co-Authored-By: Logan Weber <36520469+weberlo@users.noreply.github.com>
Apply suggestions from code review Co-Authored-By: Wei Chen <ipondering.weic@gmail.com>
Let's welcome Zhi as a new Apache TVM Committer!
…apache#3546) * Support additional architectures beyond x86_64 in ubuntu_install_java While attempting to get a development environment going for TVM on my AArch64 desktop I ran into some hardcoding of relevant architectures.
* Improve boundary nodes in graph tuner * Limit output node number * Fix test * Improve warning. * Fix test
* do * fix test
…matrices (apache#3707) * add build gcn tutorial * add transpose operator for square sparse matrices * remove extra files * change loop tag * comply with lint * comply with lint -- line too long * comply with lint * lint check * lint check * lint check * apply marisa and theirry's reviews
…pache#3712) * fix * fix interpreter
* clean up tf frontend * fix get_relay_op
This includes changes to build TVM runtime for Hexagon.
* Fix the tile_rx and tile_ry issue.
Note that this patch depends on pull request apache#9 in tvm-distro.
* [Relay] Rewrite pass. This pass transforms an expression to other expression. This pass has many usecases * Replace a expr to another expr, if the other expr has faster performance. * For ASICs, we might want to modify the inputs to adapt to the HW support. * Alter op layout can work in conjunction with this pass. The supporting usecase is the Intel i8 x i8 conv. Intel HW supports u8 x i8 conv in HW. Using this pass, we can replace an i8 x i8 conv to a sequence of operators where one of the operators is now u8 x i8 conv. This will also help automatic quantizaion performance. * Better API name. * Removing the conv2d legalization for x86. Will send a separate PR. * Test name changes. * Registering one funtion to register FTVMLegalize. * Better comments.
…t_dim (apache#3701) * Fix mxnet converter for hybrid block * tweak * fix rebase * fix * add test
* Add LayerNorm op * update * fix * Add mean_std and mean_variance * add std and update doc * add license * x * lint * x * fix * fix doc
* add build gcn tutorial * add dgl to docker file * add dgl to docker file * Apply suggestions from code review Co-Authored-By: 雾雨魔理沙 <lolisa@marisa.moe> * add dgl to docker file * rerun checks * Revert "add build gcn tutorial" This reverts commit dbe8b5f. * resolve git issue * resolve git issue * resolve git issue * apply marisa's comment
* [DOCKER] Fix missing apt https transport support * [DOCKER] Drop superflous explicit sudo's
* [Relay] [Quantization] WIP - Common files for the qauntization work.
* [Relay] [Quantization] WIP - Prototyping requantize op.
* Requantize operator implementation.
Requantize converts one quantized tensor representation to another quantized
representation. The PR has following implementation features
- Requantize operator defined in qnn namespace - relay.qnn.requantize
- Lowering of the requantize to exisiting Relay operators
- Integer fixed point implementation of requantize
- Two rounding modes - FE_UPWARDS (round towards infinity) and
FE_AWAY_FROM_ZERO (std::round behavior)
- Floating point implementation as well, that can act as reference or can be
used for devices when FP32 computation is not used.
- Unit test cases
Relevant Issue - apache#2351
Credit to TFLite and GemmLowp to provide reference implementations.
* Typo and lint fixes.
* Doc fix.
* Uncommenting the lint script (fixing mistake).
* Modifying the unit tests.
* Moving C++ files into src/relay/qnn
* Moving python files to python/tvm/relay/qnn. Some minor fixes.
* Moving the attrs.h inside the include directory.
* Pushing files that I forgot earlier. Changing util location.
* Incorporating comments. API change. Lint fixes.
* Modifying the GetFixedPointMultiplierShift API as per comments.
* Forgot the dialect change.
* Changing rewrite to qnn_lower.
* Renaming Quantize to Qnn for clarity.
* Remove use_int_domain.
* Incorportaing review comments.
* Adding API doc for QNN dialect.
* Move the qnn_lower pass to transform namespace.
* Moving from expr to module. Adding namespace in C++.
* Minor sentence rewrites. Added qnn namespace.
* Added the API doc.
* Chanding default out_dtype to int8. Adding a test with in/out_dtype as uint8.
* Style fixes. Better error messages.
* Adding documentation.
* More documentation fixes.
* Adding out dtype check for requantize.
* Adding corner case for FP32 to fixed point conversion.
* Adding extra line.
* Documentation fix.
* Adding static inline.
* Incorporating jackwish comment. Removed idtype from requantize lowering.
* Removing Quantize/Dequantize code. Restricting Requantize to (u)int8/int32.
* Style fixes.
* Fix the docs.
* Move to Legalize API.
* fix * fixes
This reverts commit 7d96118.
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…generating (apache#5962) * Code migration Start (neo-ai#1) * Init commit: Code migration Start * Add loop_state.cc/h * Add ComputeDAG basic test * Split transform_step out & Update more UTs (neo-ai#3) * Split transform_step out * Update GetProducers & GetConsumers * Update UTs * Add UT for CacheReadWrite & Some bug fix * Add search_task, measure and serialization (neo-ai#4) * Add FollowSplit & FollowFusedSplit tests * Update dag.InferBound & its UT * Add search_task, measure and serialization * Update Serialization UT * Add MetaTileRewritePolicy (neo-ai#5) * Add feature * Add cost_model, meta_tile_rewrite_policy * Add MetaTileRewritePolicy basic UT * Basic Python API for State (neo-ai#6) * Add Basic Python API for State * Add UTs for State * Add Python API: Measure & Task (neo-ai#7) * Update the return value of state operation * Add task * Copy measure.py & utils.py * Fix LocalBuilder * Fix LocalRunner * Add ansor.auto_schedule() API; First AutoSchedule working version(neo-ai#8) * Add basic Python support for ansor.auto_schedule * Update AutoSchedule API * Bug fix for get the attach point of a fused iter * Update UT after infer bug fix * Bug fix & Add python serialization API (neo-ai#10) * Delete C++ UT hack since Python is ready * Add ndarray.non_empty * Update Serialization python API * Improve code style, python wrapper and test cases (neo-ai#11) * Update c++ code style and unit test * Update python State wrapper and test cases * fix unit tests * Add RPCRunner & OpenCL/CUDA test (neo-ai#12) * Add RPCRunner & OpenCL search test * Add CUDA search test * Add RPCRunner test * rebase to upstream/master * Add Ansor basic tutorial (neo-ai#13) * Add basic tutorial * migrate feature extraction (neo-ai#14) * Add XGBModel & RPCRunnerWarpper (neo-ai#15) * Add XGBModel & RPCRunnerWarpper * Revert "Add Parallel Granularity Mutation" * Migrate workload_registry.py (neo-ai#16) * add workload registry * update * update * add task scheduler (neo-ai#17) * Add conv2d cuda tutorial with workload registry (neo-ai#18) * add tune_test.py (the old tune_wkl.py) (neo-ai#19) * add tune_test.py (the old tune_wkl.py) * update * fix measure * fix for gpu * Code refine for tune_test.py & Add a pre load callback (neo-ai#20) * Bug fix for tutorials * Add PreLoadMeasuredStates * Add search_callback support for task tuner * Code refine for tune_test.py * Update * Update * Update * Update * Bug fix * Add python custom sketch rule (neo-ai#21) * Add custom sketch rule * Bug fix * Ansor Relay Integration (without layout rewrite) (neo-ai#22) * relay integration * Add tune_op_subgraph.py & Some code clean for tune_network.py (neo-ai#23) * Add single op tune scripts * Add tune subgraph support * Merge all op & all subgraph to one file * Rename file * add explicit_unroll_max_extent (neo-ai#25) * Add Index simplification & API update (neo-ai#26) * Add vectorized cooperative_fetching test * Update math simplify for vectorized CF * File rename * Update tune_network * API update * Update PreLoadMeasuredStates & Some bug fix (neo-ai#27) * Add a threading wrapper to fix the test bug * Set default TVM_USE_AUTO_SCHEDULER to false * Update PreLoadMeasuredStates callback * Add tensorize step for loop_state (neo-ai#31) * Add tensorize step * State python api update (neo-ai#33) * Start to update api * Add compute_dag to state * API update * kernel layout rewrite (neo-ai#28) * kernel layout rewrite * remove some hacks * add defuse_ops pass and move kernel_layout_rewrite pass after fuse_ops pass * set TVM_RELAY_DISABLE_BUILD_CACHE for task extraction and prepare_layout_rewrite * [cache flush] port cache flush to ansor (neo-ai#32) * Improve relay integration (neo-ai#34) * tmp checkpoint * Improve relay integration * Improve relay integration * Fix xgb error & Simplify dispatcher (neo-ai#35) * Rename "MetaTileRewritePolicy" to "SketchPolicy". (neo-ai#36) * Rename "MetaTileRewritePolicy" to "SketchPolicy". * Add a new class for auto_unroll_max_step, storage_offset in StageNode * fix tune_op_subgraph.py * rebase * Migrate all node::make to noderef's construct function (neo-ai#37) * Start to move xxxnode::make to noderef() * Update * Update * Finish transform_step * Finish comute dag & auto schedule * Update * Update * Update * Update * Update * Code refine * Code refine * Code refine * Update * Update * Some lint fix & Recover the double constructor of tvm::PrimExpr (neo-ai#39) * lint fix * clang-format-fix * pylint fix * Update * Recover the double constructor of tvm::PrimExpr * Fix pylint * pylint fix * pylint fix * Add MutateComputeLocation and MutateParallel in evolutionary search (neo-ai#40) * Add MutateComputeLocation and MutateParallel in evolutionary search * fix lint * Improve loop state python API (stage_tensors -> stage_ops) (neo-ai#41) * improve loop state python API (stage_tensors -> stage_ops) * fix * ComputeDAG bug fix & Add Custom TensorCore Matmul Example (neo-ai#42) * Bug Fix * Sample example of Custom TensorCore Matmul * Rever Commits, Start to build minimum Ansor system * Code clean for minimum Ansor system * Bug fix & Delete AccessAnalyzer * Delete attachmap & Code clean * Doc update Update statenode::stages from vector to Array * Headfile update & Python doc update * clang-format fix * pylint fix * Update * Doc update * Update * Bug fix after code merge to the new master * clang-format fix * Update * Update * Update std::vector to Array; Update verbosity setting; Some commemts addressed * std::vector->Array & std::string->String * Add init_state to ComputeDAG * Update * Update some unordered_map to Map * clang-format fix * Comments addressed Delete ReplayAndInferBound Delete ReplaySteps & InferBoundCommon * Lint fix * Update * Update * Update * Update * Update * Update * Update * Update * Update * Rename ansor namespace to auto_schedule * Update * Rename ThreadPool to ParallelFor * Add parallel_for * Remove ThreadPool * Update python/tvm/auto_schedule/auto_schedule.py * trigger CI Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com> Co-authored-by: Minmin Sun (孙敏敏) <minmin.smm@alibaba-inc.com> Co-authored-by: Zhao Wu <zhaowu@apache.org>
trevor-m
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Aug 26, 2020
…generating (apache#5962) * Code migration Start (neo-ai#1) * Init commit: Code migration Start * Add loop_state.cc/h * Add ComputeDAG basic test * Split transform_step out & Update more UTs (neo-ai#3) * Split transform_step out * Update GetProducers & GetConsumers * Update UTs * Add UT for CacheReadWrite & Some bug fix * Add search_task, measure and serialization (neo-ai#4) * Add FollowSplit & FollowFusedSplit tests * Update dag.InferBound & its UT * Add search_task, measure and serialization * Update Serialization UT * Add MetaTileRewritePolicy (neo-ai#5) * Add feature * Add cost_model, meta_tile_rewrite_policy * Add MetaTileRewritePolicy basic UT * Basic Python API for State (neo-ai#6) * Add Basic Python API for State * Add UTs for State * Add Python API: Measure & Task (neo-ai#7) * Update the return value of state operation * Add task * Copy measure.py & utils.py * Fix LocalBuilder * Fix LocalRunner * Add ansor.auto_schedule() API; First AutoSchedule working version(neo-ai#8) * Add basic Python support for ansor.auto_schedule * Update AutoSchedule API * Bug fix for get the attach point of a fused iter * Update UT after infer bug fix * Bug fix & Add python serialization API (neo-ai#10) * Delete C++ UT hack since Python is ready * Add ndarray.non_empty * Update Serialization python API * Improve code style, python wrapper and test cases (neo-ai#11) * Update c++ code style and unit test * Update python State wrapper and test cases * fix unit tests * Add RPCRunner & OpenCL/CUDA test (neo-ai#12) * Add RPCRunner & OpenCL search test * Add CUDA search test * Add RPCRunner test * rebase to upstream/master * Add Ansor basic tutorial (neo-ai#13) * Add basic tutorial * migrate feature extraction (neo-ai#14) * Add XGBModel & RPCRunnerWarpper (neo-ai#15) * Add XGBModel & RPCRunnerWarpper * Revert "Add Parallel Granularity Mutation" * Migrate workload_registry.py (neo-ai#16) * add workload registry * update * update * add task scheduler (neo-ai#17) * Add conv2d cuda tutorial with workload registry (neo-ai#18) * add tune_test.py (the old tune_wkl.py) (neo-ai#19) * add tune_test.py (the old tune_wkl.py) * update * fix measure * fix for gpu * Code refine for tune_test.py & Add a pre load callback (neo-ai#20) * Bug fix for tutorials * Add PreLoadMeasuredStates * Add search_callback support for task tuner * Code refine for tune_test.py * Update * Update * Update * Update * Bug fix * Add python custom sketch rule (neo-ai#21) * Add custom sketch rule * Bug fix * Ansor Relay Integration (without layout rewrite) (neo-ai#22) * relay integration * Add tune_op_subgraph.py & Some code clean for tune_network.py (neo-ai#23) * Add single op tune scripts * Add tune subgraph support * Merge all op & all subgraph to one file * Rename file * add explicit_unroll_max_extent (neo-ai#25) * Add Index simplification & API update (neo-ai#26) * Add vectorized cooperative_fetching test * Update math simplify for vectorized CF * File rename * Update tune_network * API update * Update PreLoadMeasuredStates & Some bug fix (neo-ai#27) * Add a threading wrapper to fix the test bug * Set default TVM_USE_AUTO_SCHEDULER to false * Update PreLoadMeasuredStates callback * Add tensorize step for loop_state (neo-ai#31) * Add tensorize step * State python api update (neo-ai#33) * Start to update api * Add compute_dag to state * API update * kernel layout rewrite (neo-ai#28) * kernel layout rewrite * remove some hacks * add defuse_ops pass and move kernel_layout_rewrite pass after fuse_ops pass * set TVM_RELAY_DISABLE_BUILD_CACHE for task extraction and prepare_layout_rewrite * [cache flush] port cache flush to ansor (neo-ai#32) * Improve relay integration (neo-ai#34) * tmp checkpoint * Improve relay integration * Improve relay integration * Fix xgb error & Simplify dispatcher (neo-ai#35) * Rename "MetaTileRewritePolicy" to "SketchPolicy". (neo-ai#36) * Rename "MetaTileRewritePolicy" to "SketchPolicy". * Add a new class for auto_unroll_max_step, storage_offset in StageNode * fix tune_op_subgraph.py * rebase * Migrate all node::make to noderef's construct function (neo-ai#37) * Start to move xxxnode::make to noderef() * Update * Update * Finish transform_step * Finish comute dag & auto schedule * Update * Update * Update * Update * Update * Code refine * Code refine * Code refine * Update * Update * Some lint fix & Recover the double constructor of tvm::PrimExpr (neo-ai#39) * lint fix * clang-format-fix * pylint fix * Update * Recover the double constructor of tvm::PrimExpr * Fix pylint * pylint fix * pylint fix * Add MutateComputeLocation and MutateParallel in evolutionary search (neo-ai#40) * Add MutateComputeLocation and MutateParallel in evolutionary search * fix lint * Improve loop state python API (stage_tensors -> stage_ops) (neo-ai#41) * improve loop state python API (stage_tensors -> stage_ops) * fix * ComputeDAG bug fix & Add Custom TensorCore Matmul Example (neo-ai#42) * Bug Fix * Sample example of Custom TensorCore Matmul * Rever Commits, Start to build minimum Ansor system * Code clean for minimum Ansor system * Bug fix & Delete AccessAnalyzer * Delete attachmap & Code clean * Doc update Update statenode::stages from vector to Array * Headfile update & Python doc update * clang-format fix * pylint fix * Update * Doc update * Update * Bug fix after code merge to the new master * clang-format fix * Update * Update * Update std::vector to Array; Update verbosity setting; Some commemts addressed * std::vector->Array & std::string->String * Add init_state to ComputeDAG * Update * Update some unordered_map to Map * clang-format fix * Comments addressed Delete ReplayAndInferBound Delete ReplaySteps & InferBoundCommon * Lint fix * Update * Update * Update * Update * Update * Update * Update * Update * Update * Rename ansor namespace to auto_schedule * Update * Rename ThreadPool to ParallelFor * Add parallel_for * Remove ThreadPool * Update python/tvm/auto_schedule/auto_schedule.py * trigger CI Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com> Co-authored-by: Minmin Sun (孙敏敏) <minmin.smm@alibaba-inc.com> Co-authored-by: Zhao Wu <zhaowu@apache.org>
trevor-m
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Aug 26, 2020
…generating (apache#5962) * Code migration Start (neo-ai#1) * Init commit: Code migration Start * Add loop_state.cc/h * Add ComputeDAG basic test * Split transform_step out & Update more UTs (neo-ai#3) * Split transform_step out * Update GetProducers & GetConsumers * Update UTs * Add UT for CacheReadWrite & Some bug fix * Add search_task, measure and serialization (neo-ai#4) * Add FollowSplit & FollowFusedSplit tests * Update dag.InferBound & its UT * Add search_task, measure and serialization * Update Serialization UT * Add MetaTileRewritePolicy (neo-ai#5) * Add feature * Add cost_model, meta_tile_rewrite_policy * Add MetaTileRewritePolicy basic UT * Basic Python API for State (neo-ai#6) * Add Basic Python API for State * Add UTs for State * Add Python API: Measure & Task (neo-ai#7) * Update the return value of state operation * Add task * Copy measure.py & utils.py * Fix LocalBuilder * Fix LocalRunner * Add ansor.auto_schedule() API; First AutoSchedule working version(neo-ai#8) * Add basic Python support for ansor.auto_schedule * Update AutoSchedule API * Bug fix for get the attach point of a fused iter * Update UT after infer bug fix * Bug fix & Add python serialization API (neo-ai#10) * Delete C++ UT hack since Python is ready * Add ndarray.non_empty * Update Serialization python API * Improve code style, python wrapper and test cases (neo-ai#11) * Update c++ code style and unit test * Update python State wrapper and test cases * fix unit tests * Add RPCRunner & OpenCL/CUDA test (neo-ai#12) * Add RPCRunner & OpenCL search test * Add CUDA search test * Add RPCRunner test * rebase to upstream/master * Add Ansor basic tutorial (neo-ai#13) * Add basic tutorial * migrate feature extraction (neo-ai#14) * Add XGBModel & RPCRunnerWarpper (neo-ai#15) * Add XGBModel & RPCRunnerWarpper * Revert "Add Parallel Granularity Mutation" * Migrate workload_registry.py (neo-ai#16) * add workload registry * update * update * add task scheduler (neo-ai#17) * Add conv2d cuda tutorial with workload registry (neo-ai#18) * add tune_test.py (the old tune_wkl.py) (neo-ai#19) * add tune_test.py (the old tune_wkl.py) * update * fix measure * fix for gpu * Code refine for tune_test.py & Add a pre load callback (neo-ai#20) * Bug fix for tutorials * Add PreLoadMeasuredStates * Add search_callback support for task tuner * Code refine for tune_test.py * Update * Update * Update * Update * Bug fix * Add python custom sketch rule (neo-ai#21) * Add custom sketch rule * Bug fix * Ansor Relay Integration (without layout rewrite) (neo-ai#22) * relay integration * Add tune_op_subgraph.py & Some code clean for tune_network.py (neo-ai#23) * Add single op tune scripts * Add tune subgraph support * Merge all op & all subgraph to one file * Rename file * add explicit_unroll_max_extent (neo-ai#25) * Add Index simplification & API update (neo-ai#26) * Add vectorized cooperative_fetching test * Update math simplify for vectorized CF * File rename * Update tune_network * API update * Update PreLoadMeasuredStates & Some bug fix (neo-ai#27) * Add a threading wrapper to fix the test bug * Set default TVM_USE_AUTO_SCHEDULER to false * Update PreLoadMeasuredStates callback * Add tensorize step for loop_state (neo-ai#31) * Add tensorize step * State python api update (neo-ai#33) * Start to update api * Add compute_dag to state * API update * kernel layout rewrite (neo-ai#28) * kernel layout rewrite * remove some hacks * add defuse_ops pass and move kernel_layout_rewrite pass after fuse_ops pass * set TVM_RELAY_DISABLE_BUILD_CACHE for task extraction and prepare_layout_rewrite * [cache flush] port cache flush to ansor (neo-ai#32) * Improve relay integration (neo-ai#34) * tmp checkpoint * Improve relay integration * Improve relay integration * Fix xgb error & Simplify dispatcher (neo-ai#35) * Rename "MetaTileRewritePolicy" to "SketchPolicy". (neo-ai#36) * Rename "MetaTileRewritePolicy" to "SketchPolicy". * Add a new class for auto_unroll_max_step, storage_offset in StageNode * fix tune_op_subgraph.py * rebase * Migrate all node::make to noderef's construct function (neo-ai#37) * Start to move xxxnode::make to noderef() * Update * Update * Finish transform_step * Finish comute dag & auto schedule * Update * Update * Update * Update * Update * Code refine * Code refine * Code refine * Update * Update * Some lint fix & Recover the double constructor of tvm::PrimExpr (neo-ai#39) * lint fix * clang-format-fix * pylint fix * Update * Recover the double constructor of tvm::PrimExpr * Fix pylint * pylint fix * pylint fix * Add MutateComputeLocation and MutateParallel in evolutionary search (neo-ai#40) * Add MutateComputeLocation and MutateParallel in evolutionary search * fix lint * Improve loop state python API (stage_tensors -> stage_ops) (neo-ai#41) * improve loop state python API (stage_tensors -> stage_ops) * fix * ComputeDAG bug fix & Add Custom TensorCore Matmul Example (neo-ai#42) * Bug Fix * Sample example of Custom TensorCore Matmul * Rever Commits, Start to build minimum Ansor system * Code clean for minimum Ansor system * Bug fix & Delete AccessAnalyzer * Delete attachmap & Code clean * Doc update Update statenode::stages from vector to Array * Headfile update & Python doc update * clang-format fix * pylint fix * Update * Doc update * Update * Bug fix after code merge to the new master * clang-format fix * Update * Update * Update std::vector to Array; Update verbosity setting; Some commemts addressed * std::vector->Array & std::string->String * Add init_state to ComputeDAG * Update * Update some unordered_map to Map * clang-format fix * Comments addressed Delete ReplayAndInferBound Delete ReplaySteps & InferBoundCommon * Lint fix * Update * Update * Update * Update * Update * Update * Update * Update * Update * Rename ansor namespace to auto_schedule * Update * Rename ThreadPool to ParallelFor * Add parallel_for * Remove ThreadPool * Update python/tvm/auto_schedule/auto_schedule.py * trigger CI Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com> Co-authored-by: Minmin Sun (孙敏敏) <minmin.smm@alibaba-inc.com> Co-authored-by: Zhao Wu <zhaowu@apache.org>
trevor-m
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Sep 2, 2020
…generating (apache#5962) * Code migration Start (neo-ai#1) * Init commit: Code migration Start * Add loop_state.cc/h * Add ComputeDAG basic test * Split transform_step out & Update more UTs (neo-ai#3) * Split transform_step out * Update GetProducers & GetConsumers * Update UTs * Add UT for CacheReadWrite & Some bug fix * Add search_task, measure and serialization (neo-ai#4) * Add FollowSplit & FollowFusedSplit tests * Update dag.InferBound & its UT * Add search_task, measure and serialization * Update Serialization UT * Add MetaTileRewritePolicy (neo-ai#5) * Add feature * Add cost_model, meta_tile_rewrite_policy * Add MetaTileRewritePolicy basic UT * Basic Python API for State (neo-ai#6) * Add Basic Python API for State * Add UTs for State * Add Python API: Measure & Task (neo-ai#7) * Update the return value of state operation * Add task * Copy measure.py & utils.py * Fix LocalBuilder * Fix LocalRunner * Add ansor.auto_schedule() API; First AutoSchedule working version(neo-ai#8) * Add basic Python support for ansor.auto_schedule * Update AutoSchedule API * Bug fix for get the attach point of a fused iter * Update UT after infer bug fix * Bug fix & Add python serialization API (neo-ai#10) * Delete C++ UT hack since Python is ready * Add ndarray.non_empty * Update Serialization python API * Improve code style, python wrapper and test cases (neo-ai#11) * Update c++ code style and unit test * Update python State wrapper and test cases * fix unit tests * Add RPCRunner & OpenCL/CUDA test (neo-ai#12) * Add RPCRunner & OpenCL search test * Add CUDA search test * Add RPCRunner test * rebase to upstream/master * Add Ansor basic tutorial (neo-ai#13) * Add basic tutorial * migrate feature extraction (neo-ai#14) * Add XGBModel & RPCRunnerWarpper (neo-ai#15) * Add XGBModel & RPCRunnerWarpper * Revert "Add Parallel Granularity Mutation" * Migrate workload_registry.py (neo-ai#16) * add workload registry * update * update * add task scheduler (neo-ai#17) * Add conv2d cuda tutorial with workload registry (neo-ai#18) * add tune_test.py (the old tune_wkl.py) (neo-ai#19) * add tune_test.py (the old tune_wkl.py) * update * fix measure * fix for gpu * Code refine for tune_test.py & Add a pre load callback (neo-ai#20) * Bug fix for tutorials * Add PreLoadMeasuredStates * Add search_callback support for task tuner * Code refine for tune_test.py * Update * Update * Update * Update * Bug fix * Add python custom sketch rule (neo-ai#21) * Add custom sketch rule * Bug fix * Ansor Relay Integration (without layout rewrite) (neo-ai#22) * relay integration * Add tune_op_subgraph.py & Some code clean for tune_network.py (neo-ai#23) * Add single op tune scripts * Add tune subgraph support * Merge all op & all subgraph to one file * Rename file * add explicit_unroll_max_extent (neo-ai#25) * Add Index simplification & API update (neo-ai#26) * Add vectorized cooperative_fetching test * Update math simplify for vectorized CF * File rename * Update tune_network * API update * Update PreLoadMeasuredStates & Some bug fix (neo-ai#27) * Add a threading wrapper to fix the test bug * Set default TVM_USE_AUTO_SCHEDULER to false * Update PreLoadMeasuredStates callback * Add tensorize step for loop_state (neo-ai#31) * Add tensorize step * State python api update (neo-ai#33) * Start to update api * Add compute_dag to state * API update * kernel layout rewrite (neo-ai#28) * kernel layout rewrite * remove some hacks * add defuse_ops pass and move kernel_layout_rewrite pass after fuse_ops pass * set TVM_RELAY_DISABLE_BUILD_CACHE for task extraction and prepare_layout_rewrite * [cache flush] port cache flush to ansor (neo-ai#32) * Improve relay integration (neo-ai#34) * tmp checkpoint * Improve relay integration * Improve relay integration * Fix xgb error & Simplify dispatcher (neo-ai#35) * Rename "MetaTileRewritePolicy" to "SketchPolicy". (neo-ai#36) * Rename "MetaTileRewritePolicy" to "SketchPolicy". * Add a new class for auto_unroll_max_step, storage_offset in StageNode * fix tune_op_subgraph.py * rebase * Migrate all node::make to noderef's construct function (neo-ai#37) * Start to move xxxnode::make to noderef() * Update * Update * Finish transform_step * Finish comute dag & auto schedule * Update * Update * Update * Update * Update * Code refine * Code refine * Code refine * Update * Update * Some lint fix & Recover the double constructor of tvm::PrimExpr (neo-ai#39) * lint fix * clang-format-fix * pylint fix * Update * Recover the double constructor of tvm::PrimExpr * Fix pylint * pylint fix * pylint fix * Add MutateComputeLocation and MutateParallel in evolutionary search (neo-ai#40) * Add MutateComputeLocation and MutateParallel in evolutionary search * fix lint * Improve loop state python API (stage_tensors -> stage_ops) (neo-ai#41) * improve loop state python API (stage_tensors -> stage_ops) * fix * ComputeDAG bug fix & Add Custom TensorCore Matmul Example (neo-ai#42) * Bug Fix * Sample example of Custom TensorCore Matmul * Rever Commits, Start to build minimum Ansor system * Code clean for minimum Ansor system * Bug fix & Delete AccessAnalyzer * Delete attachmap & Code clean * Doc update Update statenode::stages from vector to Array * Headfile update & Python doc update * clang-format fix * pylint fix * Update * Doc update * Update * Bug fix after code merge to the new master * clang-format fix * Update * Update * Update std::vector to Array; Update verbosity setting; Some commemts addressed * std::vector->Array & std::string->String * Add init_state to ComputeDAG * Update * Update some unordered_map to Map * clang-format fix * Comments addressed Delete ReplayAndInferBound Delete ReplaySteps & InferBoundCommon * Lint fix * Update * Update * Update * Update * Update * Update * Update * Update * Update * Rename ansor namespace to auto_schedule * Update * Rename ThreadPool to ParallelFor * Add parallel_for * Remove ThreadPool * Update python/tvm/auto_schedule/auto_schedule.py * trigger CI Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com> Co-authored-by: Minmin Sun (孙敏敏) <minmin.smm@alibaba-inc.com> Co-authored-by: Zhao Wu <zhaowu@apache.org>
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Sep 3, 2020
…generating (apache#5962) * Code migration Start (#1) * Init commit: Code migration Start * Add loop_state.cc/h * Add ComputeDAG basic test * Split transform_step out & Update more UTs (#3) * Split transform_step out * Update GetProducers & GetConsumers * Update UTs * Add UT for CacheReadWrite & Some bug fix * Add search_task, measure and serialization (#4) * Add FollowSplit & FollowFusedSplit tests * Update dag.InferBound & its UT * Add search_task, measure and serialization * Update Serialization UT * Add MetaTileRewritePolicy (#5) * Add feature * Add cost_model, meta_tile_rewrite_policy * Add MetaTileRewritePolicy basic UT * Basic Python API for State (#6) * Add Basic Python API for State * Add UTs for State * Add Python API: Measure & Task (#7) * Update the return value of state operation * Add task * Copy measure.py & utils.py * Fix LocalBuilder * Fix LocalRunner * Add ansor.auto_schedule() API; First AutoSchedule working version(#8) * Add basic Python support for ansor.auto_schedule * Update AutoSchedule API * Bug fix for get the attach point of a fused iter * Update UT after infer bug fix * Bug fix & Add python serialization API (#10) * Delete C++ UT hack since Python is ready * Add ndarray.non_empty * Update Serialization python API * Improve code style, python wrapper and test cases (#11) * Update c++ code style and unit test * Update python State wrapper and test cases * fix unit tests * Add RPCRunner & OpenCL/CUDA test (#12) * Add RPCRunner & OpenCL search test * Add CUDA search test * Add RPCRunner test * rebase to upstream/master * Add Ansor basic tutorial (#13) * Add basic tutorial * migrate feature extraction (#14) * Add XGBModel & RPCRunnerWarpper (#15) * Add XGBModel & RPCRunnerWarpper * Revert "Add Parallel Granularity Mutation" * Migrate workload_registry.py (#16) * add workload registry * update * update * add task scheduler (#17) * Add conv2d cuda tutorial with workload registry (#18) * add tune_test.py (the old tune_wkl.py) (#19) * add tune_test.py (the old tune_wkl.py) * update * fix measure * fix for gpu * Code refine for tune_test.py & Add a pre load callback (#20) * Bug fix for tutorials * Add PreLoadMeasuredStates * Add search_callback support for task tuner * Code refine for tune_test.py * Update * Update * Update * Update * Bug fix * Add python custom sketch rule (#21) * Add custom sketch rule * Bug fix * Ansor Relay Integration (without layout rewrite) (#22) * relay integration * Add tune_op_subgraph.py & Some code clean for tune_network.py (#23) * Add single op tune scripts * Add tune subgraph support * Merge all op & all subgraph to one file * Rename file * add explicit_unroll_max_extent (#25) * Add Index simplification & API update (#26) * Add vectorized cooperative_fetching test * Update math simplify for vectorized CF * File rename * Update tune_network * API update * Update PreLoadMeasuredStates & Some bug fix (#27) * Add a threading wrapper to fix the test bug * Set default TVM_USE_AUTO_SCHEDULER to false * Update PreLoadMeasuredStates callback * Add tensorize step for loop_state (#31) * Add tensorize step * State python api update (#33) * Start to update api * Add compute_dag to state * API update * kernel layout rewrite (#28) * kernel layout rewrite * remove some hacks * add defuse_ops pass and move kernel_layout_rewrite pass after fuse_ops pass * set TVM_RELAY_DISABLE_BUILD_CACHE for task extraction and prepare_layout_rewrite * [cache flush] port cache flush to ansor (#32) * Improve relay integration (#34) * tmp checkpoint * Improve relay integration * Improve relay integration * Fix xgb error & Simplify dispatcher (#35) * Rename "MetaTileRewritePolicy" to "SketchPolicy". (#36) * Rename "MetaTileRewritePolicy" to "SketchPolicy". * Add a new class for auto_unroll_max_step, storage_offset in StageNode * fix tune_op_subgraph.py * rebase * Migrate all node::make to noderef's construct function (#37) * Start to move xxxnode::make to noderef() * Update * Update * Finish transform_step * Finish comute dag & auto schedule * Update * Update * Update * Update * Update * Code refine * Code refine * Code refine * Update * Update * Some lint fix & Recover the double constructor of tvm::PrimExpr (#39) * lint fix * clang-format-fix * pylint fix * Update * Recover the double constructor of tvm::PrimExpr * Fix pylint * pylint fix * pylint fix * Add MutateComputeLocation and MutateParallel in evolutionary search (#40) * Add MutateComputeLocation and MutateParallel in evolutionary search * fix lint * Improve loop state python API (stage_tensors -> stage_ops) (#41) * improve loop state python API (stage_tensors -> stage_ops) * fix * ComputeDAG bug fix & Add Custom TensorCore Matmul Example (#42) * Bug Fix * Sample example of Custom TensorCore Matmul * Rever Commits, Start to build minimum Ansor system * Code clean for minimum Ansor system * Bug fix & Delete AccessAnalyzer * Delete attachmap & Code clean * Doc update Update statenode::stages from vector to Array * Headfile update & Python doc update * clang-format fix * pylint fix * Update * Doc update * Update * Bug fix after code merge to the new master * clang-format fix * Update * Update * Update std::vector to Array; Update verbosity setting; Some commemts addressed * std::vector->Array & std::string->String * Add init_state to ComputeDAG * Update * Update some unordered_map to Map * clang-format fix * Comments addressed Delete ReplayAndInferBound Delete ReplaySteps & InferBoundCommon * Lint fix * Update * Update * Update * Update * Update * Update * Update * Update * Update * Rename ansor namespace to auto_schedule * Update * Rename ThreadPool to ParallelFor * Add parallel_for * Remove ThreadPool * Update python/tvm/auto_schedule/auto_schedule.py * trigger CI Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com> Co-authored-by: Minmin Sun (孙敏敏) <minmin.smm@alibaba-inc.com> Co-authored-by: Zhao Wu <zhaowu@apache.org>
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