Re: [PR] [Runtime] EdgeTPU runtime for Coral Boards [tvm]

["amai-gsu (via GitHub)" <gi...@apache.org>]

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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