xueshengke opened a new issue #10309:
URL: https://github.com/apache/tvm/issues/10309
```
File
"/host/mlperf_environment_xsk/tvm/tvm_build_armv9/tvm/python/tvm/_ffi/_ctypes/packed_func.py",
line 81, in cfun
rv = local_pyfunc(*pyargs)
File
"/host/mlperf_environment_xsk/tvm/tvm_build_armv9/tvm/python/tvm/relay/backend/te_compiler.py",
line 311, in lower_call
best_impl, outputs = select_implementation(op, call.attrs,
inputs, ret_type, target)
File
"/host/mlperf_environment_xsk/tvm/tvm_build_armv9/tvm/python/tvm/relay/backend/te_compiler.py",
line 189, in select_implementation
outs = best_plevel_impl.compute(attrs, inputs, out_type)
File
"/host/mlperf_environment_xsk/tvm/tvm_build_armv9/tvm/python/tvm/relay/op/op.py",
line 126, in compute
return _OpImplementationCompute(self, attrs, inputs,
out_type)
File
"/host/mlperf_environment_xsk/tvm/tvm_build_armv9/tvm/python/tvm/_ffi/_ctypes/packed_func.py",
line 237, in __call__
raise get_last_ffi_error()
3: TVMFuncCall
2: std::_Function_handler<void (tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*),
tvm::relay::__mk_TVM6::{lambda(tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*)#1}>::_M_invoke(std::_Any_data const&,
tvm::runtime::TVMArgs&&, tvm::runtime::TVMRetValue*&&)
1: tvm::relay::OpImplementation::Compute(tvm::Attrs const&,
tvm::runtime::Array<tvm::te::Tensor, void> const&, tvm::Type const&)
0: std::_Function_handler<void (tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*),
TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*)#2}>::_M_invoke(std::_Any_data const&,
tvm::runtime::TVMArgs&&, tvm::runtime::TVMRetValue*&&)
File
"/host/mlperf_environment_xsk/tvm/tvm_build_armv9/tvm/python/tvm/_ffi/_ctypes/packed_func.py",
line 81, in cfun
rv = local_pyfunc(*pyargs)
File
"/host/mlperf_environment_xsk/tvm/tvm_build_armv9/tvm/python/tvm/relay/op/strategy/generic.py",
line 833, in _compute_dense
return [topi_compute(*args)]
File
"/host/mlperf_environment_xsk/tvm/tvm_build_armv9/tvm/python/tvm/topi/nn/dense.py",
line 184, in dense
return matmul(data, weight, bias, out_dtype, False, True,
auto_scheduler_rewritten_layout)
File
"/host/mlperf_environment_xsk/tvm/tvm_build_armv9/tvm/python/tvm/topi/nn/dense.py",
line 81, in matmul
out_dim, red_dim = tensor_b.shape
ValueError: too many values to unpack (expected 2)
```
### Expected behavior
tensor_b.shape will be changed after tuning ?
### Actual behavior
out_dim, red_dim != tensor_b.shape
### Environment
Any environment details, such as: Operating System, TVM version, etc
Linux, Ubuntu: 21.04, TVM 0.9 dev, ARM CPU,
Model : mobilenet-v3.tflite
### Steps to reproduce
This error happens only in ARM CPU after autotuning, but disappears before
autotuning.
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