Setup Travis CI #7

tqchen · 2017-01-10T19:41:43Z

No description provided.

icemelon

lgtm

* [PASS] Add order mutation * A few benchmarks on compose speed

* code refactoring * code refactoring * code refactoring * code refactoring * fixing macro * refactoring, tests, makefile * style - making sure lint test pass * prefixed macros with VTA, fixed bugs

* [PASS] Add order mutation * A few benchmarks on compose speed

* code refactoring * code refactoring * code refactoring * code refactoring * fixing macro * refactoring, tests, makefile * style - making sure lint test pass * prefixed macros with VTA, fixed bugs

Add type checker skeleton

…periments (#7)

…periments (apache#7)

Type of

…periments (apache#7)

* code refactoring * code refactoring * code refactoring * code refactoring * fixing macro * refactoring, tests, makefile * style - making sure lint test pass * prefixed macros with VTA, fixed bugs

* Update the return value of state operation * Add task * Copy measure.py & utils.py * Fix LocalBuilder * Fix LocalRunner

…generating (#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>

* Format and Buffer data structure (apache#1) * [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface * [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4) * upd * upd * fix * upd * upd * upd * upd * upd * fix * upd * upd * upd * upd * upd * upd * upd * codegen-rule * upd * upd * test * upd * fix * two arguments Co-authored-by: Zihao Ye <expye@outlook.com> * Fix AxisTree (apache#3) * fix axis tree * upd * Format and Buffer data structure (apache#1) * [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface * fix axis tree * upd * Format and Buffer data structure (apache#1) * [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface * [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4) * upd * upd * fix * upd * upd * upd * upd * upd * fix * upd * upd * upd * upd * upd * upd * upd * codegen-rule * upd * upd * test * upd * fix * two arguments Co-authored-by: Zihao Ye <expye@outlook.com> * Fix AxisTree (apache#3) * fix axis tree * upd * [SparseTIR] Add SparseBufferLoad/SparseBufferStore (apache#5) * Add dtype for SparseBuffer * Add name for SparseBuffer. Remove `ndim` * Remove namespace sparse * Add SparseBufferLoad/Store * Add method `ndim()` * Format and Buffer data structure (apache#1) * [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface * [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4) * upd * upd * fix * upd * upd * upd * upd * upd * fix * upd * upd * upd * upd * upd * upd * upd * codegen-rule * upd * upd * test * upd * fix * two arguments Co-authored-by: Zihao Ye <expye@outlook.com> * Fix AxisTree (apache#3) * fix axis tree * upd * [SparseTIR] Add SparseBufferLoad/SparseBufferStore (apache#5) * Add dtype for SparseBuffer * Add name for SparseBuffer. Remove `ndim` * Remove namespace sparse * Add SparseBufferLoad/Store * Add method `ndim()` * [SparseTIR] Introduce SpIterVar (apache#6) * [SparseTIR] Introduce SpIterVar * Add conversion to PrimExpr * [BugFix] Fix binary search & SpIterVar (apache#7) * [BugFix] Add field `is_reduction` for SpIterVar (apache#9) * [BugFix] Add field `is_reduction` for SpIterVar * Formatting * upd * upd Co-authored-by: Ruihang Lai <lairuihangdongdong@qq.com>

N to 1 lowering

* Shape and type deduction. * Fix header. * Add call attrs to the deduce signature. * Address comments. * Add DiagnosticContext to IRBuilder and inference signature. * Fix nits.

[SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4) * upd * upd * fix * upd * upd * upd * upd * upd * fix * upd * upd * upd * upd * upd * upd * upd * codegen-rule * upd * upd * test * upd * fix * two arguments Co-authored-by: Zihao Ye <expye@outlook.com> Fix AxisTree (apache#3) * fix axis tree * upd [SparseTIR] Add SparseBufferLoad/SparseBufferStore (apache#5) * Add dtype for SparseBuffer * Add name for SparseBuffer. Remove `ndim` * Remove namespace sparse * Add SparseBufferLoad/Store * Add method `ndim()` [SparseTIR] Introduce SpIterVar (apache#6) * [SparseTIR] Introduce SpIterVar * Add conversion to PrimExpr [BugFix] Fix binary search & SpIterVar (apache#7) [BugFix] Add field `is_reduction` for SpIterVar (apache#9) * [BugFix] Add field `is_reduction` for SpIterVar * Formatting [SparseTIR] Index Lowering (apache#8) * Add StmtFunctor/ExprFunctor for SparseBufferStore/Load * Add basic index lowering * Finish index lowering (maybe) * Address comments * Convert CRLF to LF Frontend update, demo scripts. (apache#10) * Format and Buffer data structure (apache#1) * [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface * [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4) * upd * upd * fix * upd * upd * upd * upd * upd * fix * upd * upd * upd * upd * upd * upd * upd * codegen-rule * upd * upd * test * upd * fix * two arguments Co-authored-by: Zihao Ye <expye@outlook.com> * Fix AxisTree (apache#3) * fix axis tree * upd * Format and Buffer data structure (apache#1) * [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface * fix axis tree * upd * Format and Buffer data structure (apache#1) * [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface * [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4) * upd * upd * fix * upd * upd * upd * upd * upd * fix * upd * upd * upd * upd * upd * upd * upd * codegen-rule * upd * upd * test * upd * fix * two arguments Co-authored-by: Zihao Ye <expye@outlook.com> * Fix AxisTree (apache#3) * fix axis tree * upd * [SparseTIR] Add SparseBufferLoad/SparseBufferStore (apache#5) * Add dtype for SparseBuffer * Add name for SparseBuffer. Remove `ndim` * Remove namespace sparse * Add SparseBufferLoad/Store * Add method `ndim()` * Format and Buffer data structure (apache#1) * [SparseTIR] Constructors and Python Interface for `Axis` and `SparseBuffer` (apache#2) * add methods for Object * axis constructors * methods for SparseBuffer * put into registry * python interface * [CherryPick][Intrinsic] lower_bound and upper_bound for binary search in Sparse TIR. (apache#483) (apache#4) * upd * upd * fix * upd * upd * upd * upd * upd * fix * upd * upd * upd * upd * upd * upd * upd * codegen-rule * upd * upd * test * upd * fix * two arguments Co-authored-by: Zihao Ye <expye@outlook.com> * Fix AxisTree (apache#3) * fix axis tree * upd * [SparseTIR] Add SparseBufferLoad/SparseBufferStore (apache#5) * Add dtype for SparseBuffer * Add name for SparseBuffer. Remove `ndim` * Remove namespace sparse * Add SparseBufferLoad/Store * Add method `ndim()` * [SparseTIR] Introduce SpIterVar (apache#6) * [SparseTIR] Introduce SpIterVar * Add conversion to PrimExpr * [BugFix] Fix binary search & SpIterVar (apache#7) * [BugFix] Add field `is_reduction` for SpIterVar (apache#9) * [BugFix] Add field `is_reduction` for SpIterVar * Formatting * upd * upd Co-authored-by: Ruihang Lai <lairuihangdongdong@qq.com> [SparseTIR] SparseBlock on C++/Python side (apache#11) * Fix a bug in the last commit * SparseBlock on C++ & Python side [BugFix][SparseTIR] TVMScript Parser for Axis & SpIterVar (apache#12) * Update `cord` and `pos` * Fix `idtype` * Formatting.. * Bug fix 1 * Move new special stmts * Parser for Axis and SpIterVar * Fix context_maintainer.py [SparseTIR] Enhance SparseBlock to contain enough PrimFunc information (apache#13) * Enhance SparseBlock to have enough PrimFunc info * Remove `func_sparse_buffer_map_` * Don't print the map uh-huh [SparseTIR] Parser, Printer, Roundtrip (apache#14) * SparseBlock scope handler (part 1) * SparseBlock scope handler (part 2) * SparseBlock scope handler (part 3) * SparseBlock scope handler (fix 1) * Add SparseBufferLoad/Store on Python side * Parser for SparseBufferLoad/Store * Add SparseBlock to Python __init__ * StmtFunctor for SparseBlock * Ensure at least one dimension for SparseBuffer * Make `axis` field of SpIterVar mandatory * SparseBlock scope handler (fix 2) * Update Axis syntax by removing `name` parameter * Move to intrin.py * Add filed `from_sparse` to DenseFixedAxis * SparseTIR script printer * Roundtrip test * `update_symbol` bug fix * Fix attr visit in SparseBuffer * Define then compare in SparseBlock * Fix printer bug for SparseBuffer * Enable graph match for Axis and SparseBuffer * Complete HashReduce and EqualReduce for AxisTree and SparseBuffer * Fix typo * Rename test * Bug fix 1 * Bug fix 2 * Add more tests Move tests (apache#15) [SparseTIR] ReprPrinter for Axis and SpIterVar (apache#16) upd (apache#17) flatten (apache#18) ELL and BSR correctness test scripts (apache#19) [SparseTIR] SparseTIR Lowering (apache#20) * Fix a previous bug of sparse-fixed SpIterVar creation * Fix a previous bug in `GetDenseValue` * Refactor Collector and IndexTransformer * Construct block and loops * Fix a previous bug which rejects DV iters in collector * Update buffer map * Create root block * Fix bug of sparse-fixed SpIterVar creation * Fix bug on SpIterVar conversion (with refactor) * Fix bug when getting dependent SpIterVars * Fix bug on dependency map and index lowering * Full block read/write region * Test version 1 * Fix bug of loop order * Fix bug of batch-mm iterator ordering * Update PrimFunc args to use symbolic params * Fix bug of test "csr_element_wise" * Fix bug of index accumulation for sparse-fixed axis * Update correctness test * Test structural equality * Refactor and use Array fix nnz cols Add docstring for sparse tir lowering (apache#21) * add docstring * upd Add more examples part 1 (sddmm) (apache#22) * upd * upd * upd [SparseTIR][Schedule] SparseBlockRV, GetSparseBlock, SparseReorder (apache#23) * Test initialization * Fix a stupid bug of ReprPrinter * Add SparseBlockRV * Schedule: GetSparseBlock * Schedule: Reorder [SparseTIR][Schedule] GetSpIters (apache#24) remove hybrid script for successful compilation Add atomic intrinsic for output nonzero inference. (apache#25) * upd * upd Add "sparse" block attribute. (apache#26) Revert "remove hybrid script for successful compilation" This reverts commit eebd7c1. [SparseTIR] Hack `IsAffineBinding` check (apache#27) * [TensorIR][Schedule] Inherit block anotation upon creating new blocks * Fix SDDMM test * Hack IsAffineBinding for sparse blocks Axis Dependency Tree aware code-gen and bmm example (apache#28) * upd * upd * upd * upd * upd * upd * upd * upd * remove redundancy * fix * upd * upd Re-design Indices lowering (apache#29) * upd * upd * upd * upd * upd * init * format * fix * revise coding-style * format Complete indices lowering (apache#30) * upd * upd * upd * done * upd * passed test * upd Add more docstrings and depress warnings for new lowering algorithm. (apache#31) Refactor derived axis, frontend support of fusion. (apache#32) * upd * upd * fix Fatal bugfix and change the signature of DenseVariableAxis. (apache#33) Syntax simplification (apache#34) Change the order of generated blocks for block isolation. (apache#35) * upd * upd * upd Syntax of AttachAxis for BMM (apache#36) * upd * upd * upd [SparseTIR] Add "square sum" lowering test (apache#37) * Add square sum test * Remove pylint comment [BugFix] Fix offset caching in lowering (apache#38) * Hack compact dataflow check in a dirty way * Add two-K square sum test * Mark skipped tests * Fix offset saving in lowering Fusion syntax fix + SDDMM example. (apache#39) Some structure change on update offsets. (apache#40) [Refactor] SparseTIR Lowering (apache#41) * Take out methods in Scope * Refactor * Refactor "match" * Tweak scope contents * Refactor ViewIndexInAxis * Refactor Scope * SDDMM tests under implementation * Refactor block stack * Use Map for var_map * Extract NeedCreateNewBlock * Simplify SpIterVarToIterVar via GetIterExtent * Refactor NeedCreateNewBlock * Add docstring * Use "auto" correctly * Minor refactor and use some move Remove redundant analyzers (apache#42) Support indices lowering for attach and fuse. (apache#43) * upd * upd * upd Fix irregular BMM example. (apache#44) * upd * upd * upd * upd RGCN forward and butterfly pattern example. (apache#45) Fused SDDMM example. (apache#46) * upd * wip * fix Fix sparse reorder after refactor (apache#47) [Refactor] Refactor Unittest (apache#48) * upd * remove redundancy [Unittest] Correctness test for benchmarking scripts (apache#49) Bugfix and more test for axis fusion, new workload (apache#50) * upd * upd upd

adding miss equal check

* Shape and type deduction. * Fix header. * Add call attrs to the deduce signature. * Address comments. * Add DiagnosticContext to IRBuilder and inference signature. * Fix nits.

* [IR] Introduce StructInfo * StructInfoFunctor and Analysis Support * [TVMScript] Parse type/shape annotation with StructInfo * remove runtime type assign * Remove type/shape during parsing (#2) * Normalizer prep: simple checks and legacy function renaming. * Struct info deduction in BlockBuilder. * Two TODOs * StructInfo Normalizer Fixes (#3) * StructInfo AST Fix * Fix Extern Func Deduction and shape mutator. * Update VoidStructInfo & globalvar (#4) * Fix passes and proper sinfo propagation. * Refactor EraseToWellDefined to Enable Remapping * [WIP] First stab at symbolic param tracking * Update EraseToWellDefined to support symbolic shape return (apache#5) * fix R.shape with ndim (apache#6) * Remove update shape/type * Address review comment, AnnotateTypeShape=>AnnotateStructInfo * Update include/tvm/script/ir_builder/relax/frame.h Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu> * Address comments * Update printer to use structinfo (apache#7) * Update Error mechanism to prep for obj loc based reporting * Symbolic shape aware function call return value derivation. The main flow works as follows: - Match and populate shape_var_map and var_map by visit each pair of param and call arguments. - Call EraseToWellDefined to map the ret parameter to new result. * [ANALYSIS] Refactor well-form to only look at struct info. * Update comments according to reviews. * Update include/tvm/relax/struct_info.h Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu> Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Tianqi Chen <tqchen> Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu>

* Shape and type deduction. * Fix header. * Add call attrs to the deduce signature. * Address comments. * Add DiagnosticContext to IRBuilder and inference signature. * Fix nits.

* [IR] Introduce StructInfo * StructInfoFunctor and Analysis Support * [TVMScript] Parse type/shape annotation with StructInfo * remove runtime type assign * Remove type/shape during parsing (#2) * Normalizer prep: simple checks and legacy function renaming. * Struct info deduction in BlockBuilder. * Two TODOs * StructInfo Normalizer Fixes (#3) * StructInfo AST Fix * Fix Extern Func Deduction and shape mutator. * Update VoidStructInfo & globalvar (#4) * Fix passes and proper sinfo propagation. * Refactor EraseToWellDefined to Enable Remapping * [WIP] First stab at symbolic param tracking * Update EraseToWellDefined to support symbolic shape return (apache#5) * fix R.shape with ndim (apache#6) * Remove update shape/type * Address review comment, AnnotateTypeShape=>AnnotateStructInfo * Update include/tvm/script/ir_builder/relax/frame.h Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu> * Address comments * Update printer to use structinfo (apache#7) * Update Error mechanism to prep for obj loc based reporting * Symbolic shape aware function call return value derivation. The main flow works as follows: - Match and populate shape_var_map and var_map by visit each pair of param and call arguments. - Call EraseToWellDefined to map the ret parameter to new result. * [ANALYSIS] Refactor well-form to only look at struct info. * Update comments according to reviews. * Update include/tvm/relax/struct_info.h Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu> Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Tianqi Chen <tqchen> Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu>

* Shape and type deduction. * Fix header. * Add call attrs to the deduce signature. * Address comments. * Add DiagnosticContext to IRBuilder and inference signature. * Fix nits.

* [IR] Introduce StructInfo * StructInfoFunctor and Analysis Support * [TVMScript] Parse type/shape annotation with StructInfo * remove runtime type assign * Remove type/shape during parsing (#2) * Normalizer prep: simple checks and legacy function renaming. * Struct info deduction in BlockBuilder. * Two TODOs * StructInfo Normalizer Fixes (#3) * StructInfo AST Fix * Fix Extern Func Deduction and shape mutator. * Update VoidStructInfo & globalvar (#4) * Fix passes and proper sinfo propagation. * Refactor EraseToWellDefined to Enable Remapping * [WIP] First stab at symbolic param tracking * Update EraseToWellDefined to support symbolic shape return (#5) * fix R.shape with ndim (apache#6) * Remove update shape/type * Address review comment, AnnotateTypeShape=>AnnotateStructInfo * Update include/tvm/script/ir_builder/relax/frame.h Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu> * Address comments * Update printer to use structinfo (apache#7) * Update Error mechanism to prep for obj loc based reporting * Symbolic shape aware function call return value derivation. The main flow works as follows: - Match and populate shape_var_map and var_map by visit each pair of param and call arguments. - Call EraseToWellDefined to map the ret parameter to new result. * [ANALYSIS] Refactor well-form to only look at struct info. * Update comments according to reviews. * Update include/tvm/relax/struct_info.h Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu> Co-authored-by: Siyuan Feng <Hzfengsy@sjtu.edu.cn> Co-authored-by: Tianqi Chen <tqchen> Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu>

fix: use exact version Approved-by: Jeffrey Uong

* remove redundant transparency * dsl benchmark scirpts

tqchen added 2 commits January 10, 2017 11:41

Setup Travis CI

7a7b300

add source

8f50448

icemelon approved these changes Jan 10, 2017

View reviewed changes

fix source

7eb51fe

tqchen merged commit e953e2e into master Jan 10, 2017

haolongzhangm mentioned this pull request Nov 15, 2017

connect to this proxy server via TVM RPC application failed #638

Closed

tqchen added a commit to tqchen/tvm that referenced this pull request May 26, 2018

[PASS] Add order mutation (apache#7)

94af430

* [PASS] Add order mutation * A few benchmarks on compose speed

tqchen added a commit to tqchen/tvm that referenced this pull request May 26, 2018

[TOP] Level 3 complete (apache#7)

eed1b9b

tqchen added a commit that referenced this pull request May 29, 2018

[PASS] Add order mutation (#7)

9a956a8

* [PASS] Add order mutation * A few benchmarks on compose speed

tqchen added a commit that referenced this pull request May 29, 2018

[TOP] Level 3 complete (#7)

da251d0

tqchen added a commit to tqchen/tvm that referenced this pull request Jul 6, 2018

[PASS] Add order mutation (apache#7)

db9a9a7

* [PASS] Add order mutation * A few benchmarks on compose speed

tqchen added a commit to tqchen/tvm that referenced this pull request Jul 6, 2018

[TOP] Level 3 complete (apache#7)

1338865

sergei-mironov referenced this pull request in sergei-mironov/tvm Aug 8, 2018

[PASS] Add order mutation (#7)

04c24b6

* [PASS] Add order mutation * A few benchmarks on compose speed

sergei-mironov referenced this pull request in sergei-mironov/tvm Aug 8, 2018

[TOP] Level 3 complete (#7)

37097d9

jroesch referenced this pull request in jroesch/tvm Aug 29, 2018

Add type checker skeleton from sslyu (#7)

af85bb4

Add type checker skeleton

jroesch referenced this pull request in jroesch/tvm Dec 3, 2018

[AUTOMATION] Infrastructure to use hardware and schedules from vta-ex…

c1e057b

…periments (#7)

jroesch referenced this pull request in jroesch/tvm Dec 3, 2018

[AUTOMATION] Infrastructure to use hardware and schedules from vta-ex…

aa3696a

…periments (#7)

tmoreau89 added a commit to tmoreau89/tvm that referenced this pull request Jan 2, 2019

[AUTOMATION] Infrastructure to use hardware and schedules from vta-ex…

56c57e5

…periments (apache#7)

jroesch referenced this pull request in jroesch/tvm Feb 10, 2019

Merge pull request #7 from MarisaKirisame/type_of

1aa0b5e

Type of

zhiics pushed a commit to zhiics/tvm that referenced this pull request Mar 8, 2019

Fix build failure (apache#7)

f37881d

tmoreau89 added a commit to tmoreau89/tvm that referenced this pull request Mar 22, 2019

[AUTOMATION] Infrastructure to use hardware and schedules from vta-ex…

257f3ef

…periments (apache#7)

tmoreau89 added a commit to tmoreau89/tvm that referenced this pull request Mar 22, 2019

[AUTOMATION] Infrastructure to use hardware and schedules from vta-ex…

eee368f

…periments (apache#7)

u99127 mentioned this pull request Jun 1, 2019

Implementation of uTVM #3227

Merged

jcf94 added a commit to jcf94/tvm that referenced this pull request Jun 22, 2020

Add Python API: Measure & Task (apache#7)

2032a64

* Update the return value of state operation * Add task * Copy measure.py & utils.py * Fix LocalBuilder * Fix LocalRunner

MasterJH5574 added a commit to MasterJH5574/tvm that referenced this pull request Oct 30, 2021

[BugFix] Fix binary search & SpIterVar (apache#7)

8bd5f9f

MasterJH5574 added a commit to MasterJH5574/tvm that referenced this pull request Nov 3, 2021

[BugFix] Fix binary search & SpIterVar (apache#7)

9aa816f

MasterJH5574 added a commit to MasterJH5574/tvm that referenced this pull request Nov 6, 2021

[BugFix] Fix binary search & SpIterVar (apache#7)

be3975a

MasterJH5574 added a commit to MasterJH5574/tvm that referenced this pull request Nov 10, 2021

[BugFix] Fix binary search & SpIterVar (apache#7)

1855305

MasterJH5574 added a commit to MasterJH5574/tvm that referenced this pull request Nov 20, 2021

[BugFix] Fix binary search & SpIterVar (apache#7)

60d2185

MasterJH5574 added a commit to MasterJH5574/tvm that referenced this pull request Nov 24, 2021

[BugFix] Fix binary search & SpIterVar (apache#7)

56f2e2e

MasterJH5574 added a commit to MasterJH5574/tvm that referenced this pull request Dec 24, 2021

[BugFix] Fix binary search & SpIterVar (apache#7)

5dc0379

mikepapadim pushed a commit to mikepapadim/tvm that referenced this pull request Feb 2, 2022

Merge pull request apache#7 from cmu-catalyst/n_to_1_lowering

465ff28

N to 1 lowering

prateek9623 pushed a commit to prateek9623/tvm that referenced this pull request May 1, 2022

Merge pull request apache#7 from microsoft/weba/fix-tvm-patch

9b3a424

adding miss equal check

tingyuzaixiao mentioned this pull request Aug 9, 2023

Check failed: (!axes.defined() || static_cast<int>(axes.size()) == ndim) is false: Dimensionmismatch: axes has 2 elements, but data.ndim = 4 #15514

Closed

mikeseven pushed a commit to mikeseven/tvm that referenced this pull request Sep 27, 2023

Merged in SIM-2981 (pull request apache#7)

7888f51

fix: use exact version Approved-by: Jeffrey Uong

LeiWang1999 added a commit to LeiWang1999/tvm that referenced this pull request Nov 8, 2024

[benchmark] append matmul benchmark scirpts (apache#7)

f6cb733

* remove redundant transparency * dsl benchmark scirpts

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Setup Travis CI #7

Setup Travis CI #7

tqchen commented Jan 10, 2017

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Setup Travis CI #7

Setup Travis CI #7

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