- 10 Apr, 2020 1 commit
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* Use runtime::String * move string to tvm namespace * add const char* constructor * implicit cast from std::string
Zhi committed
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- 21 Feb, 2020 1 commit
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* support cuda tensorcore subbyte int data type in auto tensorcore * add lisence * pass cpplint * fix code review comments * merge the int4/int1 codegen tutorial into the existing auto tensorcore tutorial * using master's new API * disable tuning when cuda is not enabled * address cr comment * do not run the tuning * fix test failure * fix cpplint error * fix bool type reduction bug * 1. fix a index bug 2. fix returned bytes value of int1/int4/uint4 * fix typo
Orion34C committed
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- 19 Jan, 2020 1 commit
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TIR is the new namespace for low-level IR for tensor-level optimizations and loop transformations. This PR establishes the namespace and files. - lowered_func.h,buffer.h,data_layout.h -> tir/buffer.h,tir/data_layout.h,tir/lowered_func.h - ir.h -> tir/expr.h, tir/stmt.h - ir_functor_ext.h -> tir/expr_functor.h, tir/stmt_functor.h
Tianqi Chen committed
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- 16 Jan, 2020 1 commit
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Spread the arithmetic.h into several components and move into arith subfolder. The arith namespace will be used for arithmetic expression pattern detections and simplifications.
Tianqi Chen committed
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- 15 Jan, 2020 1 commit
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* [REFACTOR][IR] Unify IntImm and UIntImm This PR unifies UIntImm and IntImm to simplify the codebase. Unsigned integer constants will also be stored as IntImm. For uint constant that does not fit into int64(rare case), we introduced an intrinsic tvm_big_uint_imm to construct such intgers by its lower and higher 32bits. * [REFACTOR][IR] Remove UIntImm to use IntImm * rename big->large
Tianqi Chen committed
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- 09 Jan, 2020 1 commit
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* [REFACTOR][IR] tvm::Expr -> PrimExpr(Primitive Expr) As part of unified IR, we will need to unify relay::Expr and the current tvm::Expr under the same base type. From the techinical point of view. tvm::Expr is a "primitive" expression that only contains POD types and handles and does not do life-cycle management. This PR renames Expr->PrimExpr to clarify that. We will send a subsequent PR to introduce the base expr class. * Remove legacy VarExpr and ExprHash/Equal
Tianqi Chen committed
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- 08 Jan, 2020 1 commit
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* [REFACTOR][IR] Variable -> VarNode * [REFACTOR][IR] Add/Sub/Mul/Div -> AddNode/SubNode etc. * [REFACTOR][IR] Min/Max/FloorDiv/FloorMod -> MinNode/MaxNode etc. * [REFACTOR][IR] EQ/NE/LT/LE/GT/GE/Select -> EQNode/NENode etc. * [REFACTOR][IR] Add Node suffix to Select/Call/Load/Ramp/Shuffle/Let * [REFACTOR][IR] Add node suffix to IntImm/UIntImm/FloatImm/StringImm * [REFACTOR][IR] Add Node suffix to Any, AttrStmt, AssertStmt * [REFACTOR][IR] Add Node suffix to Store/Provide/Allocate/Free * [REFACTOR][IR] Add Node suffix to ProducerConsumer * Fix lint * style updates, test fixes
Tianqi Chen committed
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- 06 Jan, 2020 1 commit
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* [REFACTOR][IR] Introduce SeqStmt to replace Block ir::Block was used to represent a sequence of Stmts in the original low-level IR. The nested ir::Block structure is not really friendly for recursive visits, especially when the statements are unrolled. This PR introduce a SeqStmt that directly stores a sequence of statements in an Array container. The new SeqStmt will be used as a replacement of the original Block structure. * [REFACTOR] Migrate use of Block to SeqStmt. * [REFACTOR] Remove Block * Add more comments per yizhi's comment
Tianqi Chen committed
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- 22 Dec, 2019 1 commit
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dtype.h -> runtime/data_type.h Changes: - Rename all old reference of tvm::Type to DataType - ExprNode.type -> ExprNode.dtype - Expr.type() -> Expr.dtype() - Change Expr related functions to expr_operator. - DataType::min() -> min_value(DataType) - DataType::max() -> max_value(DataType) - Move type constructor Int, UInt, Float, Handle, Bool into DataType. - Int(bits) -> DataType::Int(bits) - UInt(bits) -> DataType::UInt(bits)
Tianqi Chen committed
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- 21 Oct, 2019 1 commit
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* [REFACTOR][NODE][RUNTIME] Move Node to the new Object protocol. This PR removes the original node system, and make node as a subclass of Object. This is a major refactor towards a better unified runtime object system. List of changes in the refactor: - We now hide data_ field, use Downcast explicitly to get a sub-class object. - Removed the node system FFI in python. - Removed the node C API, instead use PackedFunc for list and get attrs. - Change relay::Op::set_attr_type_key(attr_key_name) to relay::Op::set_attr_type<AttrType>(). - This change was necessary because of the new Object registration mechanism. - Subsequent changes to the op registrations - The change revealed a few previous problems that is now fixed. - Patched up a few missing node type registration. - Now we will raise an error if we register object that is not registered. - The original node.h and container.h are kept in the same location. - Calling convention: kObjectHandle now equals the old kNodeHandle, kNodeHandle is removed. - IRFunctor now dispatches on ObjectRef. - Update to the new type checking API: is_type, derived_from are replaced by IsInstance. - Removed .hash member function, instead use C++ convention hasher functors. * Address review comments
Tianqi Chen committed
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- 25 Sep, 2019 2 commits
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* [ARITH] Use explicit div/mod functions instead of operators. * fix pooling case
Tianqi Chen committed -
* Changes to make tensorize work. These changes also fix the previously broken test. Summary: Tensorize was breaking for a few reasons. 1) Assert at: src/op/tensorize.cc:234 CHECK(is_one(e.region[j]->extent)) In some cases this cannot be proven, e.g.: expected shape=[16, 4], given region=[range(min=((ax1.outer*16)/16), ext=(((((ax1.outer*16) + 15)/16) + 1) - ax1.outer)), range(min=((k.outer*4)/4), ext=(((((k.outer*4) + 3)/4) + 1) - k.outer)), range(min=0, ext=16), range(min=0, ext=4)] The unprovable one is: ext=(((((ax1.outer*16) + 15)/16) + 1) - ax1.outer)). This can be simplified but it is not because to simplify divide, it must prove ax1.outer > 0 and since it is var it cannot. The fix for this to just find all the vars in expr in relace them with some const value. 2) Equivalence between tensorized expr and one being asked to tensorize. For example, the error would be. TVMError: Check failed: Equal(lhs, rhs): Failed to match the compute with TensorIntrin tensor_intrin's declaration provided= reduce(combiner=comm_reducer(result=[(x + y)], lhs=[x], rhs=[y], identity_element=[(int16)0]), source=[(int16(data(k))*int16(kernel(((((((((k.outer.outer*64) + (k.outer.inner*2)) + k)/2)*128) + i) - (k.outer.inner*128)) - (k.outer.outer*4096)), ((((k.outer.outer*64) + (k.outer.inner*2)) + k) % 2))))], axis=[iter_var(k, range(min=0, ext=2))], where=(bool)1, value_index=0), intrin= reduce(combiner=comm_reducer(result=[(x + y)], lhs=[x], rhs=[y], identity_element=[(int16)0]), source=[(int16(data(k))*int16(kernel(i, k)))], axis=[iter_var(k, range(min=0, ext=2))], where=(bool)1, value_index=0) Difference is mainly in the source part: source=[(int16(data(k))*int16(kernel(((((((((k.outer.outer*64) + (k.outer.inner*2)) + k)/2)*128) + i) - (k.outer.inner*128)) - (k.outer.outer*4096)), ((((k.outer.outer*64) + (k.outer.inner*2)) + k) % 2))))] source=[(int16(data(k))*int16(kernel(i, k)))], axis=[iter_var(k, range(min=0, ext=2))] This was not being simpifiled due to compute_intrin_iter_space (map for iter var to range) not containing leaf iter vars. 3) Here it fails with: Check failed: is_one(Simplify(value->shape[i])): Argument b_buffer shape mismatch[16, 4] vs [(((((ax1.outer*16) + 15)/16) + 1) - ax1.outer), (((((k.outer*4) + 3)/4) + 1) - k.outer), 16, 4] This is in buffer binding where it thinks expected and buffer bound shape is different. Although if we could simplify expr, this would not be the case. Test Plan: On skylake avx512 machine: python tests/python/contrib/test_gemm_acc16.py Reviewers: Subscribers: Tasks: Tags: * Implemented bounded analyzer which traverses tree and for reduce/for statements binds the bound of the analyzer. Later this is used to simplify expressions. Inspired from ir_mutator_with_analyzer Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: * Addressed comments. Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: * Added ASF header + define macro for the header file: TVM_ARITHMETIC_IR_VISITOR_WITH_ANALYZER_H_ Some lint fixes as well. * Relax the assumption that dom_map must always contain all leaf itervars. Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags: * Disable copy constructor and move to raw ptr. Summary: Test Plan: Reviewers: Subscribers: Tasks: Tags:
Kimish Patel committed
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- 17 Aug, 2019 1 commit
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Wuwei Lin committed
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- 06 Jul, 2019 1 commit
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Tianqi Chen committed
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- 02 Jul, 2019 1 commit
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* [Codegen] Support broadcast op with symbolic shape * fix case where last dim = 1 * use enum; simplify stride calculation; improve doc * fix lint * improve py doc
Yizhi Liu committed
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- 08 Apr, 2019 1 commit
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* [HEADER] ASF header dir=include * [HEADER] ASF Header dir=src * [HEADER] ASF Header -dir=python * [HEADER] ASF header dir=topi * [HEADER] ASF Header dir=nnvm * [HEADER] ASF Header -dir=tutorials * [HEADER] ASF Header dir=tests * [HEADER] ASF Header -dir=docker * fix whitespace * [HEADER] ASF Header -dir=jvm * [HEADER] ASF Header -dir=web * [HEADER] ASF Header --dir=apps * [HEADER] ASF Header --dir=vta * [HEADER] ASF Header -dir=go * temp * [HEADER] ASF Header --dir=rust * [HEADER] Add ASF Header --dir=cmake * [HEADER] ASF Header --dir=docs * [HEADER] Header for Jenkinsfile * [HEADER] ASF Header to toml and md * [HEADER] ASF Header to gradle * Finalize rat cleanup * Fix permission * Fix java test * temporary remove nnvm onnx test
Tianqi Chen committed
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- 06 Oct, 2018 1 commit
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ziheng committed
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- 23 Aug, 2018 1 commit
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MORITA Kazutaka committed
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- 26 Jul, 2018 1 commit
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Tianqi Chen committed
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- 09 Mar, 2018 1 commit
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Chris Nuernberger committed
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- 04 Dec, 2017 1 commit
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* Support rank-0 tensor * fix lint
Tianqi Chen committed
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- 25 Nov, 2017 1 commit
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* [PASS] Allow compact checking when strides is available * remove assert compact
Tianqi Chen committed
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- 24 Jul, 2017 1 commit
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* [STORAGE][BUFFER] Support access ptr for clear access pattern. * fix lint
Tianqi Chen committed
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- 06 Jul, 2017 3 commits
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* [C API] Make DSL API registerable, add copy from/to raw bytes * fix cython
Tianqi Chen committed -
* [CODEGEN/PASS] add restricted, alignment option * fix lint * Fix the alloca
Tianqi Chen committed -
* [IR] Add body to AssertStmt * fix lint
Tianqi Chen committed
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- 05 Jul, 2017 1 commit
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Tianqi Chen committed
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- 04 Jul, 2017 1 commit
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* [REFACTOR/PASS] Formalize argument bind and match util * grammar
Tianqi Chen committed
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