- 23 Apr, 2020 1 commit
-
-
* [DOCS] Migrate some markdowns to rst, fix sphinx3 warnings * Add note block
Tianqi Chen committed
-
- 22 Apr, 2020 1 commit
-
-
Substitute now takes a std::function to customize more replacing behaviors. Co-authored-by: Siyuan Feng <hzfengsy@sjtu.edu.cn> Co-authored-by: Siyuan Feng <hzfengsy@sjtu.edu.cn>
Tianqi Chen committed
-
- 16 Apr, 2020 1 commit
-
-
Samuel committed
-
- 15 Apr, 2020 2 commits
-
-
- Changes most of the relay docs to use autosummary. - Bring relay API docs to the top-level flat view for easier discovery - Removed a few cases of re-exports.
Tianqi Chen committed -
Tianqi Chen committed
-
- 02 Apr, 2020 2 commits
-
-
Rationale: The current hybrid module is more aligned with the te part. We might consider add a new varient of hybrid script that support the unified IR later. This refactor paves for the potential later changes.
Tianqi Chen committed -
* [REFACTOR][TIR] Introduce ExprDeepEqual, Remove IRDeepCompare This PR introduces ExprDeepEqual which reuses the StructuralEqual infra. We migrated the usecases of ir_pass::Equal to ExprDeepEqual and StructuralEqual. * Address comments
Tianqi Chen committed
-
- 24 Mar, 2020 1 commit
-
-
* [REFACTOR][TIR] Introduce PrimFuncPass. - Introduce PrimFuncPass - Convert one pass to the unified Pass API. * Address comments * Fix comments
Tianqi Chen committed
-
- 23 Mar, 2020 2 commits
-
-
* isfinite doc update * isfinit expr * isfinit expr * isfinite schedule reg * isfinite python binding * isfinite python binding * relay register isfinite * isfinite type relation * intrin isfinite * topi isfinite * testcase topi isfinite * tf frontend isfinite * tf frontend isfinite testcase * test case relay isfinite * small fixes * test forward tf isfinite * test cases injective for cuda * remove float16 test case * add support for isinf * remove unwanted import * fix conflict
Mahesh Ambule committed -
* first cut unravel_index * merge fixes * change rates to dilations * unravel_index op relay, topi, mxnet, tf * doc changes * small changes * remove empty unravel and argwhere attrs * remove empty unravel and argwhere attrs
Mahesh Ambule committed
-
- 21 Mar, 2020 1 commit
-
-
* Update relay docs * any -> py:func * make clean
Zhi committed
-
- 20 Mar, 2020 1 commit
-
-
masahi committed
-
- 18 Mar, 2020 1 commit
-
-
Zhi committed
-
- 17 Mar, 2020 2 commits
-
-
* refactor relay python * revert relay/ir/*.py to relay * Address comments * remove direct access to analysis and transform namespace
Zhi committed -
* update docs for dilation 2d * dilation2d compute * dilation2d register * dilation2d rel compute * dilation2d strategy * dilation2d attrs * dilation2d generic schedule * dilation2d tf frontend support * dilation2d tf frontend test case * dilation2d test cases * pylint fixes * add exception for cuda target * Update docstring * Update docstring * change rates to dilations * removed unused param * merge master * Update nn.py * Update nn.py
Mahesh Ambule committed
-
- 27 Feb, 2020 2 commits
-
-
* [DOCS] Sphinx -- Introduce alias detection. Background: some of our namespaces import function from another namespace. For example tvm.te imports most of the operators from tvm.tir. Previously we manually exclude these aliases from the doc. However that means we can not link them by the alias name. This PR adds a sphinx callback plugin to detect such aliases, and create a rubric block on the button of its current docstring `Alias of the original class`. It is done in a way so that we can refer to the generated docs. We also fixed a few docs errors. * Fix most of the issues
Tianqi Chen committed -
* [REFACTOR][PY][API-CHANGE] Remove legacy python files. Remove legacy python files. Use the te namespace for most of the tensor expression primitives. - tvm.create_schedule -> tvm.te.create_schedule - tvm.placeholder -> tvm.te.placeholder - tvm.compute -> tvm.te.compute * Remove top-level exposures.
Tianqi Chen committed
-
- 26 Feb, 2020 1 commit
-
-
* [DOCS] Fix Sphinx Warnings: the target found for cross-reference warnings * Fix the warning: undefined label
Neo Chien committed
-
- 25 Feb, 2020 1 commit
-
-
* Add a PyTorch to Relay parser * Add alexnet, googlenet, mnasnet, shufflenet wip * Fix lint * Remove fix for shufflenet * Lower check * Pull changes from neo-ai/tvm changes * Remove commented out section * Use infer_shape everywhere * Change back to using trace instead of path in from_pytorch * Parse state_dict to add param names * Umbrella single_op under test_forwards * Remove print and cleanup call * Check if update to test broke CI * Retrigger CI * Add back in updated tests * Try splitting up tests * First pass at flexible typing, implemented for ones * Add int32 for all ops * Remove print statements * Fix lint * Broad except * Add other tensor types * Temporarily use old tests * Retrigger CI * Lower type names * Use numpy to convert in dense op * Fix lint * Remove print * Need to cleanup but verify int32 works for add * Rough tests for different types, a lot of types are not supported on CPU * Probably doesn't build, need to save work as I have to switch branches (constantly) * Parse param type * Remove print stmt in parser * Clean up some code * Working on flaot32 for bn * Add resnet18 double type * Fix lint * Temporarily move PT tests first * Temporarily add back refactored tests to fix mem issue * Add more type test and temp remove some tests * Comment out tests, hopefully CI prints a trace * Get stack trace * Remove operator dict key, rename op_name to node_id, remove dead code * Make relay map a list * Remove some hacky string stuff * Move to PyTorch 1.4 * Remove input_type as param * Remove _get_fill_value, fix full ops * Remove unused code and combine ops for identity and none * Remove fn_param * Clean up main loop * Remove useless if/else for outputs * Remove ir_names, only used once * Remove some string hacking * Remove string parsing to get output name * Fix bug with output sizes of nodes * Use attributeNames in parse ops * Remove continue and add_op in parse_op * Do this everywhere, use assert instead of explciitly type casting * Remove unnecessary swap * Slight refactor for elemwise input parse * Use a copy of graph everywhere * Rename nid_to_node_name * Refactor parse import prereqs * Clean up input node kind check * Clean up conditionals * Clean up add_op * Cleanup type for ones and zeros op * Fix lint * Add torch install to CI * Actually use torch * Try moving import torch to only where it's needed * Import torch for CI * Use take op for select * Temporarily add ignore for jit inline pass for CI * Use CompleteTensorType, might be a PT 1.2 only thing * Use different types in elemwise op * Use float16 ones * Fix float16 test * Remove the temp docker changes * Remove temp test * Temporarily comment out original tests * Remove file * Empty cache after each test * Add some prints and lower input sizes * Try using no grad * Trying to globally set grad off * Use no grad for torchvision * Remove xfail tests * Remove VGG and AlexNet due to some issues * Combine pooling tests * Remove extra test file * Remove single op, remove larger pooling tests * Remove maxpool3 * Remove debug prints * Remove inference call and add no_grad in measure latency * Use standard string start char * Remove redundant infer_shape in slice * Convert most to checks to just expr * Remove extra paren * More refactor of isinstance * Add helper for creating typed constants * Assert instead of return when no matching type * Remove network variants * Add no_grad when forward, remove deatch, fix lint * Change isinstance to expr in transpose * Use opnotimplemented, refactor * Fix full ops, remove duplicate tests * Never use shape field unless we know the type * Remove comma, retrigger CI * Add paren, retrigger CI * Use inline if-else for flags * Throw exception instead of assert * Remove version check for CI * Check version when doing inline pass * Fix lint * Lower more input sizes * Add new line, conv2d only accepts weight as expr * Use tvm.runtime.ndarray * Remove change to torch version install * Try no grad for mobilenet * Fix lint * Fix lint again * Revert to last passing * Delete test files * Ignore lint * Revert back * Comment out mobilenet * Clean up compare compiled and baseline outputs * Use IRModule * Add todos * Refactor use_bias * Add todo for fix conv op channels * Change input to data type * Remove todo * Handle channel multiplier > 1
Alex Wong committed
-
- 20 Feb, 2020 2 commits
- 18 Feb, 2020 1 commit
-
-
Tianqi Chen committed
-
- 17 Feb, 2020 1 commit
-
-
Tianqi Chen committed
-
- 13 Feb, 2020 1 commit
-
-
Move the related target modules into tvm.target. API change: - tvm.target.current_target -> tvm.target.Target.current - tvm.datatype -> tvm.target.datatype
tqchen committed
-
- 12 Feb, 2020 2 commits
-
-
tqchen committed
-
* [REFACTOR][PY][API-CHANGE] establish tvm.ir, migrate corresponding relay files. This PR establishes tvm.ir and migrates the corresponding relay files into the new folder. API Change: - relay.Module -> tvm.IRModule * Update with ADT * Migrate transform * address comments * Migrate module * Migrate json_compact * Migrate attrs * Move LoweredFunc to stmt temporarily * temp migrate container * Finish migrate container
Tianqi Chen committed
-
- 07 Feb, 2020 1 commit
-
-
* [REFACTOR][PY-API] Polish tvm.runtime, tvm.runtime.module API update This PR updates the tvm.runtime to use the new FFI style. - Remove top-level tvm.module to avoid confusion between runtime.Module and IRModule - API changes wrt to runtime.Module - tvm.module.load -> tvm.runtime.load_module - tvm.module.enabled -> tvm.runtime.enabled - tvm.module.system_lib -> tvm.runtime.system_lib - Remove dep on api_internal from runtime. * Update module.load in the latest API
Tianqi Chen committed
-
- 16 Jan, 2020 1 commit
-
-
* [arith] add ShapeVar representing non-neg valued variable in a tensor shape * bounder remover; deal with div in int_set differently * fix bounder_remover * migrate unittest to use shape_var * use tvm.shape_var in integration & relay tests * add test case; fix Var register * fix lint * fix lint again * add default ShapeVar visitor in Relay * fix override * fix ShapeVar visit bug * revert IntervalSet for shape_var * remove bound_remover * remove is_var; use constructor for shapevar/var instead * ShapeVar -> SizeVar; add constructor comments * shape_var -> size_var in doc * tindex -> size
Yizhi Liu committed
-
- 11 Jan, 2020 2 commits
- 09 Jan, 2020 1 commit
-
-
* [AutoTVM] Use vm compile in extracting task from relay * update * restructure vm compiler to reduce task extraction time * x * fix * update doc * udpate doc * lint
Haichen Shen committed
-
- 22 Dec, 2019 1 commit
-
-
* [TEST] Remove nnvm related code in topi and test script * Remove docs dep
Tianqi Chen committed
-
- 18 Nov, 2019 1 commit
-
-
* Add tf FloorMod * Add floor_div/mod into topi and relay * Add to rst * Fix test
Yao Wang committed
-
- 15 Nov, 2019 1 commit
-
-
Philip Hyunsu Cho committed
-
- 30 Oct, 2019 1 commit
-
-
* Add support for Any op * Support ONNX frontend * Add doc * Add to relay docs * Dummy change to retrigger CI
Jon Soifer committed
-
- 27 Sep, 2019 1 commit
-
-
Tianqi Chen committed
-
- 25 Sep, 2019 1 commit
-
-
* Expose llvm.nearbyint intrinsic. This is a faster alternate to rounding. Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: * Added python binding. Added test. Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags:
Kimish Patel committed
-
- 24 Sep, 2019 1 commit
-
-
* Refactor to create abstract ParallelOpCombiner * First draft of CombineParallelDense * Begin to work on tests * Test * Refactor to move out more common code * Clean up * Fix * Remove statics * fix wording * Start to add combine_parallel_op_batch * Resolve PR comments * Resolve PR comments * dummy change to retrigger CI * Change special case from bias_add to add * Revert special case change * Ignore units check * dummy change to retrigger CI * dummy change to re-trigger CI * Improve docs * Update docs * Update docs
Jon Soifer committed
-
- 22 Sep, 2019 1 commit
-
-
* add expr `isnan` * move to intrinsic * doc & add to topi * fix error from ci
Huang, Guangtai committed
-
- 21 Sep, 2019 1 commit
-
-
Zhi committed
-