[LANG] Change Schedule->Stage, Use Schedule for global schedule #8
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icemelon
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tqchen
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* [TOP] complete level2 * [TOP] add split
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tqchen
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May 29, 2018
* [TOP] complete level2 * [TOP] add split
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tqchen
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Jul 6, 2018
* [TOP] complete level2 * [TOP] add split
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Aug 8, 2018
grwlf
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Aug 8, 2018
* [TOP] complete level2 * [TOP] add split
jroesch
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Aug 29, 2018
* begins typing expr.py * minor style fix * improves typing and adds more * type -> typ to avoid keyword clash * reverts prev change * fixes typo * merge python/expr conflicts * incorporate changes * lint test * comment out instance var lint test * undo tests * adds more types * more types * disable specific pylint invalid-name warnings * minor comments on particular nodes * minor clean up
jroesch
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Aug 29, 2018
* Makefile hacking Modify CI to execute Relay Fix header guards Fix linting for Relay Fix linting for Relay Add Python 3.6 to install script * Tweak CMake and Makefiles for Relay. * Fix linting errors * Fixing namespaces, and trying to restore build * Remove Jenkinsfile * Restore to test execution * Restore all tests * Tests are green * Fix C++ lint * Fix PyLint
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Dec 3, 2018
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Mar 22, 2019
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Feb 6, 2020
fix lint bitpack strategy bitserial_dense (apache#6) * update strategy * address comments fix a few topi test Dense strategy (apache#5) * dense * add biforst; remove comments * address comment Refactor x86 conv2d_NCHWc (apache#4) * Refactor x86 conv2d * Add x86 depthwise_conv2d_NCHWc * Add back topi x86 conv2d_nchw * Merge x86 conv2d_nchw and conv2d_NCHWc * Minor fix for x86 conv2d fix more strategy Add x86 conv2d_NCHWc_int8 strategy (apache#8) * Add x86 conv2d_NCHWc_int8 strategy * Remove contrib_conv2d_nchwc_int8 * Fix generic conv2d_NCHWc for int8 * Fix topi arm_cpu conv2d_NCHWc_int8 update x86 conv2d enable specify relay ops to be tuned for autotvm add cuda conv2d strategy add conv2d strategy for rocm add conv2d strategy for hls add conv2d strategy for arm cpu add conv2d strategy for mali add conv2d strategy for bifrost add conv2d strategy for intel graphics clean up and fix lint remove template keys from autotvm remove 2 in the func name address comments fix
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Feb 11, 2020
fix lint bitpack strategy bitserial_dense (apache#6) * update strategy * address comments fix a few topi test Dense strategy (apache#5) * dense * add biforst; remove comments * address comment Refactor x86 conv2d_NCHWc (apache#4) * Refactor x86 conv2d * Add x86 depthwise_conv2d_NCHWc * Add back topi x86 conv2d_nchw * Merge x86 conv2d_nchw and conv2d_NCHWc * Minor fix for x86 conv2d fix more strategy Add x86 conv2d_NCHWc_int8 strategy (apache#8) * Add x86 conv2d_NCHWc_int8 strategy * Remove contrib_conv2d_nchwc_int8 * Fix generic conv2d_NCHWc for int8 * Fix topi arm_cpu conv2d_NCHWc_int8 update x86 conv2d enable specify relay ops to be tuned for autotvm add cuda conv2d strategy add conv2d strategy for rocm add conv2d strategy for hls add conv2d strategy for arm cpu add conv2d strategy for mali add conv2d strategy for bifrost add conv2d strategy for intel graphics clean up and fix lint remove template keys from autotvm remove 2 in the func name address comments fix
kevinthesun
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Feb 12, 2020
fix lint bitpack strategy bitserial_dense (apache#6) * update strategy * address comments fix a few topi test Dense strategy (apache#5) * dense * add biforst; remove comments * address comment Refactor x86 conv2d_NCHWc (apache#4) * Refactor x86 conv2d * Add x86 depthwise_conv2d_NCHWc * Add back topi x86 conv2d_nchw * Merge x86 conv2d_nchw and conv2d_NCHWc * Minor fix for x86 conv2d fix more strategy Add x86 conv2d_NCHWc_int8 strategy (apache#8) * Add x86 conv2d_NCHWc_int8 strategy * Remove contrib_conv2d_nchwc_int8 * Fix generic conv2d_NCHWc for int8 * Fix topi arm_cpu conv2d_NCHWc_int8 update x86 conv2d enable specify relay ops to be tuned for autotvm add cuda conv2d strategy add conv2d strategy for rocm add conv2d strategy for hls add conv2d strategy for arm cpu add conv2d strategy for mali add conv2d strategy for bifrost add conv2d strategy for intel graphics clean up and fix lint remove template keys from autotvm remove 2 in the func name address comments fix
merrymercy
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Feb 24, 2020
* relay op strategy fix lint bitpack strategy bitserial_dense (#6) * update strategy * address comments fix a few topi test Dense strategy (#5) * dense * add biforst; remove comments * address comment Refactor x86 conv2d_NCHWc (#4) * Refactor x86 conv2d * Add x86 depthwise_conv2d_NCHWc * Add back topi x86 conv2d_nchw * Merge x86 conv2d_nchw and conv2d_NCHWc * Minor fix for x86 conv2d fix more strategy Add x86 conv2d_NCHWc_int8 strategy (#8) * Add x86 conv2d_NCHWc_int8 strategy * Remove contrib_conv2d_nchwc_int8 * Fix generic conv2d_NCHWc for int8 * Fix topi arm_cpu conv2d_NCHWc_int8 update x86 conv2d enable specify relay ops to be tuned for autotvm add cuda conv2d strategy add conv2d strategy for rocm add conv2d strategy for hls add conv2d strategy for arm cpu add conv2d strategy for mali add conv2d strategy for bifrost add conv2d strategy for intel graphics clean up and fix lint remove template keys from autotvm remove 2 in the func name address comments fix * fix bugs * lint * address comments * add name to op implement * Modify topi tests (#9) * Add pooling, reorg, softmax and vision * Add lrn * fix topi test * fix more topi test * lint * address comments * x * fix more tests & bugs * Modify more tests (#10) * Modify tests for bitserial_conv2d, bitserial_dense, bitserial_conv2d_rasp and bnn * Minor fix * More minor fix * fix more test * try to update vta using strategy * fix cpptest * x * fix rebase err * Fix two tests (#11) * change autotvm log format * lint * minor fix * try fix vta test * fix rebase err * tweak * tmp hack for vta pass * fix tutorial * fix * fix more tutorials * fix vta tutorial * minor * address comments * fix * address comments * fix cpptest * fix docs * change data structure name and api * address comments * lint * fix rebase err * updates * fix winograd test * fix doc * rebase * upgrade tophub version number * fix bug * re-enable vta tsim test after tophub is upgraded * fix vta test to use the correct args so the config can be found in tophub Co-authored-by: Yao Wang <kevinthesunwy@gmail.com>
tqchen
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Mar 29, 2020
* relay op strategy fix lint bitpack strategy bitserial_dense (apache#6) * update strategy * address comments fix a few topi test Dense strategy (apache#5) * dense * add biforst; remove comments * address comment Refactor x86 conv2d_NCHWc (#4) * Refactor x86 conv2d * Add x86 depthwise_conv2d_NCHWc * Add back topi x86 conv2d_nchw * Merge x86 conv2d_nchw and conv2d_NCHWc * Minor fix for x86 conv2d fix more strategy Add x86 conv2d_NCHWc_int8 strategy (apache#8) * Add x86 conv2d_NCHWc_int8 strategy * Remove contrib_conv2d_nchwc_int8 * Fix generic conv2d_NCHWc for int8 * Fix topi arm_cpu conv2d_NCHWc_int8 update x86 conv2d enable specify relay ops to be tuned for autotvm add cuda conv2d strategy add conv2d strategy for rocm add conv2d strategy for hls add conv2d strategy for arm cpu add conv2d strategy for mali add conv2d strategy for bifrost add conv2d strategy for intel graphics clean up and fix lint remove template keys from autotvm remove 2 in the func name address comments fix * fix bugs * lint * address comments * add name to op implement * Modify topi tests (apache#9) * Add pooling, reorg, softmax and vision * Add lrn * fix topi test * fix more topi test * lint * address comments * x * fix more tests & bugs * Modify more tests (apache#10) * Modify tests for bitserial_conv2d, bitserial_dense, bitserial_conv2d_rasp and bnn * Minor fix * More minor fix * fix more test * try to update vta using strategy * fix cpptest * x * fix rebase err * Fix two tests (apache#11) * change autotvm log format * lint * minor fix * try fix vta test * fix rebase err * tweak * tmp hack for vta pass * fix tutorial * fix * fix more tutorials * fix vta tutorial * minor * address comments * fix * address comments * fix cpptest * fix docs * change data structure name and api * address comments * lint * fix rebase err * updates * fix winograd test * fix doc * rebase * upgrade tophub version number * fix bug * re-enable vta tsim test after tophub is upgraded * fix vta test to use the correct args so the config can be found in tophub Co-authored-by: Yao Wang <kevinthesunwy@gmail.com>
ZihengJiang
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Nov 26, 2020
* Adding axis support Realization * mend * Averaging across batches and not smaples * Test * Scalars * Comments * Disbaling quantization for grouped conv with depth multiplier > 1 * Handling tuple - densenet passes * Comments for add
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hypercubestart
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Mar 12, 2021
* Adding axis support Realization * mend * Averaging across batches and not smaples * Test * Scalars * Comments * Disbaling quantization for grouped conv with depth multiplier > 1 * Handling tuple - densenet passes * Comments for add
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Sep 7, 2021
* WIP support per-channel quantization * more WIP * More WIP * fix issue with per-channel bias_add * Fix fake quantize tests (apache#4) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Add Relu * One more little one (apache#5) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Fix requantize shape bug. * Non-working Per-channel Dense * Fix legalization for non spatial operators. (apache#6) * Fix legalization for non spatial operators. * Fix axis checks for end2end functionality. * fix axis normalization fix lint fix lint again * Fix bug in requantize dimension expansion. * Format. Co-authored-by: Josh Fromm <jwfromm@octoml.ai>
masahi
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Sep 8, 2021
* WIP support per-channel quantization * more WIP * More WIP * fix issue with per-channel bias_add * Fix fake quantize tests (#4) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Add Relu * One more little one (#5) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Fix requantize shape bug. * Non-working Per-channel Dense * Fix legalization for non spatial operators. (#6) * Fix legalization for non spatial operators. * Fix axis checks for end2end functionality. * fix axis normalization fix lint fix lint again * Per channel fq2i (#8) * WIP support per-channel quantization * more WIP * More WIP * fix issue with per-channel bias_add * Fix fake quantize tests (#4) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Add Relu * One more little one (#5) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Fix requantize shape bug. * Non-working Per-channel Dense * Fix legalization for non spatial operators. (#6) * Fix legalization for non spatial operators. * Fix axis checks for end2end functionality. * fix axis normalization fix lint fix lint again * Fix bug in requantize dimension expansion. * Format. Co-authored-by: Josh Fromm <jwfromm@octoml.ai> * respond to review comments respond to review comments Co-authored-by: Josh Fromm <jwfromm@octoml.ai>
masahi
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Sep 9, 2021
* WIP support per-channel quantization * more WIP * More WIP * fix issue with per-channel bias_add * Fix fake quantize tests (#4) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Add Relu * One more little one (#5) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Fix requantize shape bug. * Non-working Per-channel Dense * Fix legalization for non spatial operators. (#6) * Fix legalization for non spatial operators. * Fix axis checks for end2end functionality. * fix axis normalization fix lint fix lint again * Per channel fq2i (#8) * WIP support per-channel quantization * more WIP * More WIP * fix issue with per-channel bias_add * Fix fake quantize tests (#4) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Add Relu * One more little one (#5) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Fix requantize shape bug. * Non-working Per-channel Dense * Fix legalization for non spatial operators. (#6) * Fix legalization for non spatial operators. * Fix axis checks for end2end functionality. * fix axis normalization fix lint fix lint again * Fix bug in requantize dimension expansion. * Format. Co-authored-by: Josh Fromm <jwfromm@octoml.ai> * respond to review comments * start dtos * wip depth_to_space * dtos ident Co-authored-by: Matthew <mbrookhart@octoml.ai> Co-authored-by: Josh Fromm <jwfromm@octoml.ai>
ylc
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Sep 29, 2021
* WIP support per-channel quantization * more WIP * More WIP * fix issue with per-channel bias_add * Fix fake quantize tests (apache#4) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Add Relu * One more little one (apache#5) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Fix requantize shape bug. * Non-working Per-channel Dense * Fix legalization for non spatial operators. (apache#6) * Fix legalization for non spatial operators. * Fix axis checks for end2end functionality. * fix axis normalization fix lint fix lint again * Per channel fq2i (apache#8) * WIP support per-channel quantization * more WIP * More WIP * fix issue with per-channel bias_add * Fix fake quantize tests (apache#4) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Add Relu * One more little one (apache#5) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Fix requantize shape bug. * Non-working Per-channel Dense * Fix legalization for non spatial operators. (apache#6) * Fix legalization for non spatial operators. * Fix axis checks for end2end functionality. * fix axis normalization fix lint fix lint again * Fix bug in requantize dimension expansion. * Format. Co-authored-by: Josh Fromm <jwfromm@octoml.ai> * respond to review comments respond to review comments Co-authored-by: Josh Fromm <jwfromm@octoml.ai>
ylc
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Sep 29, 2021
* WIP support per-channel quantization * more WIP * More WIP * fix issue with per-channel bias_add * Fix fake quantize tests (apache#4) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Add Relu * One more little one (apache#5) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Fix requantize shape bug. * Non-working Per-channel Dense * Fix legalization for non spatial operators. (apache#6) * Fix legalization for non spatial operators. * Fix axis checks for end2end functionality. * fix axis normalization fix lint fix lint again * Per channel fq2i (apache#8) * WIP support per-channel quantization * more WIP * More WIP * fix issue with per-channel bias_add * Fix fake quantize tests (apache#4) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Add Relu * One more little one (apache#5) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Fix requantize shape bug. * Non-working Per-channel Dense * Fix legalization for non spatial operators. (apache#6) * Fix legalization for non spatial operators. * Fix axis checks for end2end functionality. * fix axis normalization fix lint fix lint again * Fix bug in requantize dimension expansion. * Format. Co-authored-by: Josh Fromm <jwfromm@octoml.ai> * respond to review comments * start dtos * wip depth_to_space * dtos ident Co-authored-by: Matthew <mbrookhart@octoml.ai> Co-authored-by: Josh Fromm <jwfromm@octoml.ai>
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Nov 6, 2021
* Add StmtFunctor/ExprFunctor for SparseBufferStore/Load * Add basic index lowering * Finish index lowering (maybe) * Address comments * Convert CRLF to LF
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Nov 10, 2021
* Add StmtFunctor/ExprFunctor for SparseBufferStore/Load * Add basic index lowering * Finish index lowering (maybe) * Address comments * Convert CRLF to LF
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Nov 20, 2021
* Add StmtFunctor/ExprFunctor for SparseBufferStore/Load * Add basic index lowering * Finish index lowering (maybe) * Address comments * Convert CRLF to LF
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Nov 24, 2021
* Add StmtFunctor/ExprFunctor for SparseBufferStore/Load * Add basic index lowering * Finish index lowering (maybe) * Address comments * Convert CRLF to LF
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* Add StmtFunctor/ExprFunctor for SparseBufferStore/Load * Add basic index lowering * Finish index lowering (maybe) * Address comments * Convert CRLF to LF
gussmith23
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Dec 29, 2021
* end-to-end codegen for ILA-VTA * [ add ] tests * ignore instr_log * tweak PR * get rid of warnings * remove logging in pattern matching * [ add ] instruction for running the end-to-end test script * [ init ] bias add codegen * add data loading * [ add ] bias add test case * [ fix ] datatype conversion * change to int8 inputs * integrate 3la driver into tvm framework * lstm flexnlp backend driver added * [ init ] relu runtime * [ add ] relu runtime code * Add exact matcher * fix data loading * [ update ] tests * [ refactor ] code * [ add ] comments * remove redundant submodule in the python test folder; redirect python driver path inside TVM in the ilaflex_runtime * Simplify implementation, correct pattern bugs, and add more tests * flexnlp lstm end-to-end flow complete * Correct inaccurate comment * Reformat comment * Throw in refs because why not * Need to visit matched args to find all matches * Move utility checkers to exact_matcher file (they will come in handy again) * Add test scaling the pattern matching to the speech-to-text model * Unused function * Add test case of not matching free var in match block * Incorrect dimension * set ila driver as external python scripts located through /home/leeoh/3la/pattern_matching/3la_ILA_tensor_op/ path * 3la flexnlp python driver as standalone path; small fixed in include module in flex_linear.py * Correct attribute names and also include primitive * pass op_name when offloading calculation Co-authored-by: AD1024 <dh63@cs.washington.edu> Co-authored-by: Steven S. Lyubomirsky <sslyu@cs.washington.edu> Co-authored-by: Bo-Yuan Huang <Bo-Yuan-Huang@users.noreply.github.com>
ylc
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Jan 13, 2022
* WIP support per-channel quantization * more WIP * More WIP * fix issue with per-channel bias_add * Fix fake quantize tests (apache#4) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Add Relu * One more little one (apache#5) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Fix requantize shape bug. * Non-working Per-channel Dense * Fix legalization for non spatial operators. (apache#6) * Fix legalization for non spatial operators. * Fix axis checks for end2end functionality. * fix axis normalization fix lint fix lint again * Per channel fq2i (apache#8) * WIP support per-channel quantization * more WIP * More WIP * fix issue with per-channel bias_add * Fix fake quantize tests (apache#4) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Add Relu * One more little one (apache#5) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Fix requantize shape bug. * Non-working Per-channel Dense * Fix legalization for non spatial operators. (apache#6) * Fix legalization for non spatial operators. * Fix axis checks for end2end functionality. * fix axis normalization fix lint fix lint again * Fix bug in requantize dimension expansion. * Format. Co-authored-by: Josh Fromm <jwfromm@octoml.ai> * respond to review comments respond to review comments Co-authored-by: Josh Fromm <jwfromm@octoml.ai>
ylc
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Jan 13, 2022
* WIP support per-channel quantization * more WIP * More WIP * fix issue with per-channel bias_add * Fix fake quantize tests (apache#4) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Add Relu * One more little one (apache#5) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Fix requantize shape bug. * Non-working Per-channel Dense * Fix legalization for non spatial operators. (apache#6) * Fix legalization for non spatial operators. * Fix axis checks for end2end functionality. * fix axis normalization fix lint fix lint again * Per channel fq2i (apache#8) * WIP support per-channel quantization * more WIP * More WIP * fix issue with per-channel bias_add * Fix fake quantize tests (apache#4) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Add Relu * One more little one (apache#5) * Fixed fake quantize issues. * Formatting. * Cleanup unused imports * Fix real int8 tests. * Fix requantize shape bug. * Non-working Per-channel Dense * Fix legalization for non spatial operators. (apache#6) * Fix legalization for non spatial operators. * Fix axis checks for end2end functionality. * fix axis normalization fix lint fix lint again * Fix bug in requantize dimension expansion. * Format. Co-authored-by: Josh Fromm <jwfromm@octoml.ai> * respond to review comments * start dtos * wip depth_to_space * dtos ident Co-authored-by: Matthew <mbrookhart@octoml.ai> Co-authored-by: Josh Fromm <jwfromm@octoml.ai>
MasterJH5574
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Feb 26, 2022
* Relax pretty printer initial prototype * call into TVMScriptPrinter for PrimFuncs * most round-trip tests pass * address comments * fix typo
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Mar 3, 2022
* Relax pretty printer initial prototype * call into TVMScriptPrinter for PrimFuncs * most round-trip tests pass * address comments * fix typo
MasterJH5574
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Mar 7, 2022
[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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[Runtime] Enable option to use OpenMP thread pool (apache#4089)
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* Relax pretty printer initial prototype * call into TVMScriptPrinter for PrimFuncs * most round-trip tests pass * address comments * fix typo
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* Relax pretty printer initial prototype * call into TVMScriptPrinter for PrimFuncs * most round-trip tests pass * address comments * fix typo
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* Relax pretty printer initial prototype * call into TVMScriptPrinter for PrimFuncs * most round-trip tests pass * address comments * fix typo
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* Relax pretty printer initial prototype * call into TVMScriptPrinter for PrimFuncs * most round-trip tests pass * address comments * fix typo
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* Relax pretty printer initial prototype * call into TVMScriptPrinter for PrimFuncs * most round-trip tests pass * address comments * fix typo
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* Relax pretty printer initial prototype * call into TVMScriptPrinter for PrimFuncs * most round-trip tests pass * address comments * fix typo
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…tend (apache#8) * [WIP] Support using Relay ops in the Relax ONNX frontend Co-authored-by: Matthew Barrett <mbarrett@octoml.ai> Co-authored-by: Michalis Papadimitriou <mpapadimitriou@octoml.ai> * [WIP] small fixes Co-authored-by: Matthew Barrett <mbarrett@octoml.ai> Co-authored-by: Michalis Papadimitriou <mpapadimitriou@octoml.ai> * [WIP] Support dynamic matmul and reshape Co-authored-by: Matthew Barrett <mbarrett@octoml.ai> Co-authored-by: Michalis Papadimitriou <mpapadimitriou@octoml.ai> * Address PR comments --------- Co-authored-by: Matthew Barrett <mbarrett@octoml.ai> Co-authored-by: Michalis Papadimitriou <mpapadimitriou@octoml.ai>
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* Relax pretty printer initial prototype * call into TVMScriptPrinter for PrimFuncs * most round-trip tests pass * address comments * fix typo
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[SIM-3140]: Add topi package * Adding packaging for topi * Add version file in topi * Update topi version * Add topi package upload * Add python dep * Update based off of feedbacvk Approved-by: Spenser Gilliland <spenser@sima.ai> Approved-by: Carlos Davila <carlos@sima.ai> Approved-by: Lam Nguyen <lam.nguyen@sima.ai>
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