Meteorix opened a new issue #7008:
URL: https://github.com/apache/tvm/issues/7008
For a large model, tvm compilation is really slow. I perf it and find that
type inference costs most of the time.
```
# Children Self Command Shared Object Symbol
# ........ ........ ....... ....................................
.....................................................................................................................................................................
#
93.18% 0.00% python libtvm.so [.]
tvm::relay::PatternRewriter::Rewrite
|
---tvm::relay::PatternRewriter::Rewrite
|
--93.17%--tvm::relay::InferTypeWithModule
|
--93.05%--tvm::transform::Pass::operator()
tvm::transform::PassNode::operator()
tvm::transform::ModulePassNode::operator()
tvm::runtime::PackedFunc::operator()<tvm::IRModule, tvm::transform::PassContext>
std::function<void
(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)>::operator()
std::_Function_handler<void
(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*), void
tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::IRModule,
tvm::transform::PassContext)>::AssignTypedLambda<tv
void
tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::IRModule,
tvm::transform::PassContext)>::AssignTypedLambda<tvm::relay::transform::InferType()::{lambda(tvm::IRModule,
tvm::transform::PassCont
|
--93.03%--tvm::relay::transform::InferType()::{lambda(tvm::IRModule,
tvm::transform::PassContext const&)#1}::operator()
|
|--79.48%--tvm::relay::TypeInferencer::Infer
| |
|
|--49.03%--tvm::relay::TypeInferencer::GetType
```
From my understanding, ``PatternRewriter`` rewrite every function in a
module, then each time ``PatternRewriter`` calls ``InferType`` to infer every
function. It should be incremental. Is there any reason why this
``incremental`` inference is commented?
https://github.com/apache/tvm/blob/main/src/relay/transforms/type_infer.cc#L805
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