amai-gsu commented on PR #4698:
URL: https://github.com/apache/tvm/pull/4698#issuecomment-1800699964
> @tmoreau89 I have tried the setup with the same versions of tvm/tensorflow
on the host and the board and the "cpu" part of the inference works fine. But
when I set the target to edge_tpu, I get this error on the rpc server
>
> ```
> ERROR: Internal: Unsupported data type: 0
> ERROR: Node number 0 (edgetpu-custom-op) failed to prepare
> ```
>
> And on the host machine, it says
>
> ```
> File "tvm_inference.py", line 21, in <module>
> runtime = tflite_runtime.create(f.read(), ctx, runtime_target=target)
>
> File
"/home/sabih/Documents/phd_work/MAP_WORK/tvm_env/tvm/python/tvm/contrib/tflite_runtime.py",
line 49, in create
> return TFLiteModule(fcreate(bytearray(tflite_model_bytes), ctx))
>
> File
"/home/sabih/Documents/phd_work/MAP_WORK/tvm_env/tvm/python/tvm/_ffi/_ctypes/function.py",
line 207, in __call__
> raise get_last_ffi_error()
>
> tvm._ffi.base.TVMError: Traceback (most recent call last):
> [bt] (3) /tvm_env/tvm/build/libtvm.so(TVMFuncCall+0x69) [0x7f2fb63f8489]
> [bt] (2) /tvm_env/tvm/build/libtvm.so(std::_Function_handler<void
(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*),
tvm::runtime::RPCModuleNode::WrapRemote(void*)::{lambda(tvm::runtime::TVMArgs,
tvm::runtime::TVMRetValue*)#1}>::_M_invoke(std::_Any_data const&,
tvm::runtime::TVMArgs&&, tvm::runtime::TVMRetValue*&&)+0x46) [0x7f2fb644ad36]
> [bt] (1)
/tvm_env/tvm/build/libtvm.so(tvm::runtime::RPCSession::CallFunc(void*,
tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*, void* (*)(int,
tvm::runtime::TVMArgValue const&), tvm::runtime::PackedFunc const*)+0x2c8)
[0x7f2fb6454168]
> [bt] (0) /tvm_env/tvm/build/libtvm.so(+0xc21d6b) [0x7f2fb6450d6b]
> File "/tvm_env/tvm/src/runtime/rpc/rpc_session.cc", line 993
> TVMError: Check failed: code == RPCCode: :kReturn: code=4
> ```
>
> The inference directly on the edge TPU works fine.
have you solved this issue? i got a same one.
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