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[Ansor][AutoTVM v2.0] Phase 1: Access Analyzer #6103

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merged 8 commits into from
Jul 25, 2020

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merrymercy
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@merrymercy merrymercy commented Jul 21, 2020

For the full upstream plan, see Ansor RFC.

This pr

  • Introduces the access analyzer which analyzes the read-write relations in a compute declaration.
    The search policy will use the analysis results to make decisions such as doing multi-level tiling for an op or strictly inlining an op.
  • Moves ansor related header files to include/tvm/auto_scheduler and polishes some comments.

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@junrushao
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junrushao commented Jul 21, 2020

It is one of the core part of the system. Will take a look later tomorrow night.

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This PR is ready for review. But It has some dependency on #6073. I will make it pass the ci test after #6073 is merged

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jcf94 commented Jul 21, 2020

This PR is ready for review. But It has some dependency on #6073. I will make it pass the ci test after #6073 is merged

#6073 's macOS build failure seems caused by some infrastructure error, I think it's ready for merge? I'll continue to upstream the left steps after #6073 .

@merrymercy merrymercy force-pushed the pr-access-analyzer branch 2 times, most recently from ea153e2 to 56b0187 Compare July 22, 2020 05:25
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/*! \brief Store whether the operation is an output operation */
OperationMap<bool> is_output;
/*! \brief Store the topological order of operations */
Array<te::Operation> ops_topo_order;
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What's the relationship between this array and ComputeDAG::ops?

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@merrymercy merrymercy Jul 22, 2020

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They are the same. I store it in AccessAnalyzer because it is used first here.
In the constructor of ComputeDAG, it copies ops_topo_order as its ops

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namespace auto_scheduler {

/*! \brief Static analysis result for a ComputeDAG */
class AccessAnalyzerNode : public Object {
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I feel like AccessAnalyzer itself can be a much more principled and extensible component of the system, so shall we put it in a separate file instead?

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Agree. Maybe have an analysis.h to expect more analyzers in the future. On the other hand, another direction might be renaming AccessAnalyzer to ComputeDAGAnalyzer, because it provides some APIs for the ops in a compute DAG, such as NeedMultiLevelTiling, IsOutput, etc.

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tqchen commented Jul 22, 2020

cc @jwfromm @mbrookhart @jroesch

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@@ -126,6 +555,7 @@ class FlopEstimator : public ExprFunctor<double(const PrimExpr& n)> {
fail_ = true;
break;
}
cur_type_code_ = pop->output_dtype(0).code();
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could you elaborate why we need cur_type_code_? how do we deal with the case that computation is mixed with int8 and fp32?

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@merrymercy merrymercy Jul 22, 2020

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The FLOP information is only used for printing and debugging. It is okay to just give a rough estimation.

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@merrymercy I agree that it is totally okay if we can just use rough information (in fact it is highly non-trivial to get accurate info without backend info). My point is that cur_type_code_ comes from the dtype of output, but it is totally possible that a compute dag contains computation of different type code (int8, fp16)

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It is not common at all. The common case is either int8->int16/32 or fp16/fp16->fp32

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Overall LGTM. Agree with @junrushao1994 on most comments.

namespace auto_scheduler {

/*! \brief Static analysis result for a ComputeDAG */
class AccessAnalyzerNode : public Object {
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Agree. Maybe have an analysis.h to expect more analyzers in the future. On the other hand, another direction might be renaming AccessAnalyzer to ComputeDAGAnalyzer, because it provides some APIs for the ops in a compute DAG, such as NeedMultiLevelTiling, IsOutput, etc.

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node->read_from[op] = OperationMap<std::vector<std::vector<PrimExpr>>>();
} else if (auto cop = op.as<te::ComputeOpNode>()) {
TensorAccessExtractor extractor;
for (const auto& exp : cop->body) {
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just curious: did we test with ComputeOp with multiple bodies?

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No. It will be addressed later.

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Finally done this round of review... Thanks for the contribution!

Comment on lines +270 to +271
const Array<PrimExpr>& output_shape = op->output_shape(0);
const Array<PrimExpr>& producer_shape = producer->output_shape(0);
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Do it only work for te::Operation with a single output? Do we have a fallback solution for operators with multiple outputs like argmax?

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@merrymercy merrymercy Jul 23, 2020

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Even with multiple outputs, the shape will be the same

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@merrymercy merrymercy force-pushed the pr-access-analyzer branch 2 times, most recently from 99e9ab3 to b01fcf8 Compare July 23, 2020 23:08
@merrymercy
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@junrushao1994 @jcf94 @comaniac Most of the comments are addressed. I added more doc and make the name convention more consistent and meaningful. Please take another look

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LGTM

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LGTM. Thanks.

@merrymercy merrymercy merged commit c9cbd04 into apache:master Jul 25, 2020
trevor-m pushed a commit to trevor-m/tvm that referenced this pull request Aug 26, 2020
* add access analyzer

* add test cases

* move header files and polish comments

* fix lint

* update

* fix lint

* address comments

* fix lint
trevor-m pushed a commit to trevor-m/tvm that referenced this pull request Aug 26, 2020
* add access analyzer

* add test cases

* move header files and polish comments

* fix lint

* update

* fix lint

* address comments

* fix lint
trevor-m pushed a commit to trevor-m/tvm that referenced this pull request Aug 26, 2020
* add access analyzer

* add test cases

* move header files and polish comments

* fix lint

* update

* fix lint

* address comments

* fix lint
trevor-m pushed a commit to trevor-m/tvm that referenced this pull request Sep 2, 2020
* add access analyzer

* add test cases

* move header files and polish comments

* fix lint

* update

* fix lint

* address comments

* fix lint
trevor-m pushed a commit to neo-ai/tvm that referenced this pull request Sep 3, 2020
* add access analyzer

* add test cases

* move header files and polish comments

* fix lint

* update

* fix lint

* address comments

* fix lint
@merrymercy merrymercy deleted the pr-access-analyzer branch September 27, 2020 00:52
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6 participants