Cookiee235 opened a new issue, #17210:
URL: https://github.com/apache/tvm/issues/17210
### Actual behavior
```
Traceback (most recent call last):
File "/share_container/optfuzz/res/bugs/3_simple.py", line 36, in <module>
mod = relax.transform.MergeCompositeFunctions()(mod) # crash here
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/software/tvm-lunder/python/tvm/ir/transform.py", line 238, in
__call__
return _ffi_transform_api.RunPass(self, mod)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/software/tvm-lunder/python/tvm/_ffi/_ctypes/packed_func.py", line
240, in __call__
raise_last_ffi_error()
File "/software/tvm-lunder/python/tvm/_ffi/base.py", line 481, in
raise_last_ffi_error
raise py_err
tvm.error.InternalError: Traceback (most recent call last):
17:
tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<tvm::runtime::TypedPackedFunc<tvm::IRModule
(tvm::transform::Pass,
tvm::IRModule)>::AssignTypedLambda<tvm::transform::{lambda(tvm::transform::Pass,
tvm::IRModule)#7}>(tvm::transform::{lambda(tvm::transform::Pass,
tvm::IRModule)#7}, std::__cxx11::basic_string<char, std::char_traits<char>,
std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&,
tvm::runtime::TVMRetValue*)#1}> >::Call(tvm::runtime::PackedFuncObj const*,
tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
16: tvm::transform::Pass::operator()(tvm::IRModule) const
15: tvm::transform::Pass::operator()(tvm::IRModule,
tvm::transform::PassContext const&) const
14: tvm::transform::ModulePassNode::operator()(tvm::IRModule,
tvm::transform::PassContext const&) const
13:
tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<tvm::runtime::TypedPackedFunc<tvm::IRModule
(tvm::IRModule,
tvm::transform::PassContext)>::AssignTypedLambda<tvm::relax::transform::MergeCompositeFunctions()::{lambda(tvm::IRModule,
tvm::transform::PassContext)#1}>(tvm::relax::transform::MergeCompositeFunctions()::{lambda(tvm::IRModule,
tvm::transform::PassContext)#1})::{lambda(tvm::runtime::TVMArgs const&,
tvm::runtime::TVMRetValue*)#1}> >::Call(tvm::runtime::PackedFuncObj const*,
tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
12: tvm::relax::MergeCompositeFunctions(tvm::IRModule)
11: tvm::relax::MakeGroupedFunctions(tvm::IRModule,
std::unordered_map<tvm::runtime::Object const*,
tvm::relay::GraphPartitioner::Group*, std::hash<tvm::runtime::Object const*>,
std::equal_to<tvm::runtime::Object const*>,
std::allocator<std::pair<tvm::runtime::Object const* const,
tvm::relay::GraphPartitioner::Group*> > > const&, bool,
tvm::runtime::Array<tvm::runtime::String, void> const&)
10:
tvm::relax::OperatorFusor::Transform(tvm::runtime::Array<tvm::runtime::String,
void> const&)
9: tvm::relax::ExprMutator::VisitExpr(tvm::RelayExpr const&)
8:
_ZZN3tvm5relax11ExprFunctorIFNS_9RelayExprERKS2_EE10InitVTableEvENUlRKNS_7r
7: tvm::relax::ExprMutator::VisitExpr_(tvm::relax::FunctionNode const*)
6: tvm::relax::ExprMutator::VisitWithNewScope(tvm::RelayExpr const&,
tvm::runtime::Optional<tvm::runtime::Array<tvm::relax::Var, void> >)
5: tvm::relax::ExprMutator::VisitExpr(tvm::RelayExpr const&)
4:
_ZZN3tvm5relax11ExprFunctorIFNS_9RelayExprERKS2_EE10InitVTableEvENUlRKNS_7r
3: tvm::relax::ExprMutator::VisitExpr_(tvm::relax::SeqExprNode const*)
2: tvm::relax::ExprMutator::VisitBindingBlock(tvm::relax::BindingBlock
const&)
1:
tvm::relax::OperatorFusor::VisitBindingBlock_(tvm::relax::DataflowBlockNode
const*)
0:
tvm::relax::OperatorFusor::CollectFuncBindings(tvm::runtime::Array<tvm::relax::Binding,
void> const&)
File "/software/tvm-lunder/src/relax/transform/fuse_ops.cc", line 941
InternalError: Check failed: (it_group != obj2group_.end()) is false:
Variable gv could not be found in any group
```
### Environment
Any environment details, such as: Operating System, TVM version, etc
### Steps to reproduce
```
from tvm import relax
from tvm.script import ir as I
from tvm.script import relax as R
@I.ir_module
class Module:
@R.function(private=True)
def fused_relax_nn_conv2d_relax_nn_relu(data1: R.Tensor((1, 64, 56, 56),
dtype="float32"), weight11: R.Tensor((64, 64, 3, 3), dtype="float32")) ->
R.Tensor((1, 64, 56, 56), dtype="float32"):
R.func_attr({"Composite": "dnnl.conv2d_relu", "Primitive": 1})
cls = Module
with R.dataflow():
lv1 = R.nn.conv2d(data1, weight11)
gv1 = R.nn.relu(lv1)
R.output(gv1)
return gv1
@R.function(private=False)
def main2(data: R.Tensor((1, 64, 56, 56), dtype="float32"), weight1:
R.Tensor((64, 64, 3, 3), dtype="float32"), weight2: R.Tensor((64, 64, 3, 3),
dtype="float32")) -> R.Tensor((1, 64, 54, 54), dtype="float32"):
cls = Module
with R.dataflow():
gv: R.Tensor((1, 64, 56, 56), dtype="float32") =
cls.fused_relax_nn_conv2d_relax_nn_relu(data, weight1)
R.output(gv)
return gv
@R.function
def main(data: R.Tensor((1, 64, 56, 56), dtype="float32"), weight1:
R.Tensor((64, 64, 3, 3), dtype="float32"), weight2: R.Tensor((64, 64, 3, 3),
dtype="float32")) -> R.Tensor((1, 64, 54, 54), dtype="float32"):
cls = Module
with R.dataflow():
gv22: R.Tensor((1, 64, 56, 56), dtype="float32") =
cls.fused_relax_nn_conv2d_relax_nn_relu(data, weight1)
R.output(gv22)
return gv22
mod = Module
mod.show()
mod = relax.transform.MergeCompositeFunctions()(mod) # crash here
```
cc @Lunderberg @tqchen
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