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* [Tutorial] mxnet update add from_gluon add to __init__ fix tutorial and from_gluon fix doc lint merge from_mxnet fix fix fix tutorial fix fix header * fix tutorial * fix data * fix
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* [Tutorial] mxnet update add from_gluon add to __init__ fix tutorial and from_gluon fix doc lint merge from_mxnet fix fix fix tutorial fix fix header * fix tutorial * fix data * fix
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* [Tutorial] mxnet update add from_gluon add to __init__ fix tutorial and from_gluon fix doc lint merge from_mxnet fix fix fix tutorial fix fix header * fix tutorial * fix data * fix
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* [Tutorial] mxnet update add from_gluon add to __init__ fix tutorial and from_gluon fix doc lint merge from_mxnet fix fix fix tutorial fix fix header * fix tutorial * fix data * fix
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* incorporate changes * incorporate changes * incorporate changes * incorporate changes * incorporate changes * incorporate changes * parse keyword arguments * improves BoolLitNode pretty printing
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[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
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Mar 9, 2022
rebased [TIR][Schedule] fix reorder/buffer_flatten & finish CPU demo (apache#59) [CPU DEMO] Update cpu gemm demo and fix bug (apache#58) * [TIR][Schedule] introduce parallel and fix bugs for cpu demo * [TIR][Schedule] update cpu demo * [TIR][Schedule] fix lint * [TIR][Schedule] fix rebased [TIR][Schedule] introduce reduction block and CPU demo (apache#53) * [TIR] reduction : split_reduction * [TIR] reduction : split_reduction * [TIR] reduction : fuse_reduction * [TIR] reduction : cpu demo * [TIR] reduction : fix * [TIR] reduction : pattern detect remains * [TIR] reduction : pattern detect remains * [TIR] reduction : pattern match done * [TIR] reduction : fix lint * [TIR] reduction : fix * [TIR] reduction : fix * [TIR] reduction : fix * [TIR] reduction : fix * [TIR] reduction : rebased * [TIR] reduction : rebased [TIR][Schedule] introduce cache_read cache_write (apache#54) * [TIR][Schedule] introduce cache_read cache_write * [TIR][Schedule] add more comments * [TIR][Schedule] fix problem and add comments * [TIR][Schedule] address comments [TIR] schedule: introduce vectorize, unroll, loop validation (apache#47) * [TIR] vectorize : basically complete * [TIR] vectorize&unroll : update comments&unroll * [TIR] vectorize&unroll : rebased * [TIR] vectorize, unroll, cpu_demo: done * [TIR] vectorize, unroll, cpu_demo: simplify * [TIR] vectorize, unroll, cpu_demo: fix * [TIR] reduction : rebased * [TIR] reduction : fix [TIR][Schedule] fix sref and scopes problem during replace and compute_at (apache#50) * [TIR][Schedule] fix sref and scopes problem during replace and compute_at * [TIR][Schedule] fix * [TIR][Schedule] fix [TIR][Refactor] move function to ScheduleNode [TIR] Schedule: introduce primitive compute_at (apache#36) * [TIR] Schedule: introduce primitive compute_at * [TIR] Schedule: address comments * [TIR] Schedule: address comments * [TIR] Schedule: address comments * [TIR] Schedule: add check to compute_at * [TIR] Schedule: address comments * [TIR] Schedule: address comments [TIR] Schedule: introduce primitive reorder (apache#37) * [Schedule] debug * [TIR] Schedule: reorder, loop type detect remains * [TIR] reorder complete * [TIR] reorder complete * [TIR] fix * [TIR] reorder : rebased complete * [TIR] reorder : fix container.h * [TIR] reorder : fix * [TIR] reorder : fix * [TIR] reorder : fix * [TIR] reorder : simplify * [TIR] reorder : simplify * [TIR] reorder : simplify * [TIR] reorder : fix * [TIR] reorder : fix * [TIR] reorder : rebased * [TIR] reorder : rebased rebase [TIR] Schedule: introduce BlockRealize and Block SRef reuse(apache#39) * [TIR] BlockRealize: schedule refactor * [TIR] BlockRealize: debug * [TIR] BlockRealize finish * [TIR] BlockRealize finish * [TIR] BlockRealize fix * [TIR] BlockRealize update test * [TIR] BlockRealize: add loop var reuse * [TIR] BlockRealize: add loop var reuse * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix * [TIR] BlockRealize: fix [TIR] compare for module (apache#38) * [TIR] compare for module * [TIR] fix * [TIR] fix * [TIR] fix * [TIR] fix * [TIR] fix * [TIR] fix [Hybrid] Module init [Hybrid] Module print [Hybrid] Module print with meta [Hybrid] adjust [Hybrid] finished but without lint and comment check [Hybrid] fix lint [Hybrid] comments [Hybrid] fix script decoration API [Hybrid] using IRModule [Hybrid] fix [Hybrid] adjust API [Hybrid] fix [Hybrid] fix [Hybrid] fix [Hybrid] fix symbol table, adjust API, introduce meta_mutator and resolve import issue [Hybrid] fix lint [TIR] introduce pass BufferFlatten (apache#32) * [TIR] introduce pass BufferFlatten * [Tir] add comments & remove old TeLower * [TIR] split GatherRegion and BufferFlatten to two Visitor/Mutator * [TIR] address comments: Only consider stmt scope * [TIR] BufferFlatten: address comments * [TIR] BufferFlatten: fold BlockFlattener into BufferFlattener * [TIR] BufferFlatten: add asserts * [TIR] BufferFlatten: use Equal in testcase * [TIR] Equal Pass: Enhanced the pass * [TIR] Equal Pass: add comments [Hybrid] refactor using Doc, introduce annotation, enhance parser (apache#28) * [Hybrid] refactor printer, enhance parser * [Hybrid] refactor * [Hybrid] fix * [Hybrid] fix * [Hybrid] fix namespace issue * [Hybrid] compare using Equal [TIR] rebased [TE] fix replace again and add primitive fuse and split (apache#27) * [TE] add: schedule primitive fuse * [TE] add: schedule primitive split * [TE] address comments: add IRSubstitueInScope and other minor fix * [TE] address comments: Enhance Equal api and fix split by nparts * [TE] address comments [Hybrid] introduce printer (apache#25) * [Hybrid] substitute Block with SeqStmt, change block() syntax * [Hybrid] add printer, type declare intrin * [Hybrid] refactor * [Hybrid] meta * [Hybrid] refactor * [Hybrid] macro [TE] fix replace (apache#23) * [TE] fix replace * [TE] fix replace: add more tests * [TE] fix replace: add more tests [TE] rebased [Hybrid] python syntax parser (apache#20) * [Hybrid] python syntax parser * [Hybrid] add a testcase * [Hybrid] improve comments and fix bugs * [Hybrid] improve comments, refactor __internal_assert, add new testcases * [Hybrid] improve error report message, refactor intrin * [Hybrid] separate ScopeEmitter from parser * [Hybrid] refactor type check * [Hybrid] refactor intrin * [Hybrid] refactor intrin, allow register external functions with argument type checking, add a testcase * [Hybrid] address comments, fix a bug in te/ir.h * [Hybrid] remove type check * [Hybrid] python syntax parser * [Hybrid] add a testcase * [Hybrid] improve comments and fix bugs * [Hybrid] improve comments, refactor __internal_assert, add new testcases * [Hybrid] improve error report message, refactor intrin * [Hybrid] separate ScopeEmitter from parser * [Hybrid] refactor type check * [Hybrid] refactor intrin * [Hybrid] refactor intrin, allow register external functions with argument type checking, add a testcase * [Hybrid] address comments, fix a bug in te/ir.h * [Hybrid] remove type check * [Hybrid] refactor intrin, scope_handler, special_stmt * [Hybrid] address comments * [Hybrid] clean code, improve error reporting & testcase * [Hybrid] clean code * [Hybrid] clean code [IR] introduce dependency graph and write map [TE] refactor and clean codebase [TE] refactor IR [TE] introduce schedule, dependency graph and support fuse and split (apache#17) * fix lint * introduce dependency graph * enable create schedule * support get axes * fix lint * revert Set * add schedule primitive fuse * address comment * support split [IR] Introduce SeqStmt add TeLower pass and enable to run Te IR (apache#15) * add function data structure add TeLower pass to transform Te to current IR enable to run Te IR * address comments * unify terminology TensorIR data structure init (apache#14) * init te data structure * finish printer and enhanced ir_builder * address the comments Co-authored-by: Bohan Hou <32121147+spectrometerHBH@users.noreply.github.com>
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* `stmt` methods 0 * `stmt` methods 1 * `stmt` methods 2 * `stmt` methods 3 * `stmt` methods 4 * add `T.while` method * `stmt` methods without `with` * `IfFrame`, `ThenFrame`, `ElseFrame` as replacement * apply code review suggestions 0 * apply code review suggestions 1 * apply code review suggestions 2 * apply code review suggestions
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* `stmt` methods 0 * `stmt` methods 1 * `stmt` methods 2 * `stmt` methods 3 * `stmt` methods 4 * add `T.while` method * `stmt` methods without `with` * `IfFrame`, `ThenFrame`, `ElseFrame` as replacement * apply code review suggestions 0 * apply code review suggestions 1 * apply code review suggestions 2 * apply code review suggestions
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* `stmt` methods 0 * `stmt` methods 1 * `stmt` methods 2 * `stmt` methods 3 * `stmt` methods 4 * add `T.while` method * `stmt` methods without `with` * `IfFrame`, `ThenFrame`, `ElseFrame` as replacement * apply code review suggestions 0 * apply code review suggestions 1 * apply code review suggestions 2 * apply code review suggestions
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* `stmt` methods 0 * `stmt` methods 1 * `stmt` methods 2 * `stmt` methods 3 * `stmt` methods 4 * add `T.while` method * `stmt` methods without `with` * `IfFrame`, `ThenFrame`, `ElseFrame` as replacement * apply code review suggestions 0 * apply code review suggestions 1 * apply code review suggestions 2 * apply code review suggestions
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* `stmt` methods 0 * `stmt` methods 1 * `stmt` methods 2 * `stmt` methods 3 * `stmt` methods 4 * add `T.while` method * `stmt` methods without `with` * `IfFrame`, `ThenFrame`, `ElseFrame` as replacement * apply code review suggestions 0 * apply code review suggestions 1 * apply code review suggestions 2 * apply code review suggestions
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Post TUZ-150 cleanup
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Develop pr Approved-by: Mikael Sevenier
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… versions. (apache#47) * Each cutlass-based submodule library now uses its own cutlass submodule dependancy * TVM's cutlass submodule is decoupled from others and is bumped to v3.4.1 for H100 support * Add scaffold for new cutlass fp8 dequant gemm interface targetting TVM's cutlass submodule Co-authored-by: Chris Sullivan <csullivan@octo.ai>
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… versions. (apache#47) * Each cutlass-based submodule library now uses its own cutlass submodule dependancy * TVM's cutlass submodule is decoupled from others and is bumped to v3.4.1 for H100 support * Add scaffold for new cutlass fp8 dequant gemm interface targetting TVM's cutlass submodule Co-authored-by: Chris Sullivan <csullivan@octo.ai>
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… versions. (apache#47) * Each cutlass-based submodule library now uses its own cutlass submodule dependancy * TVM's cutlass submodule is decoupled from others and is bumped to v3.4.1 for H100 support * Add scaffold for new cutlass fp8 dequant gemm interface targetting TVM's cutlass submodule Co-authored-by: Chris Sullivan <csullivan@octo.ai>
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* dev * dev * dev
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Analyse which dimension of scan is invariant to other dimensions and can be sliced.