Error when running test #2
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@DonnyMarsden TorchScript format was changed since the last time I created the test file. I just pushed the file traced with PT1.0. Please pull from latest master and try again. |
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I get this error when running 'DYLD_LIBRARY_PATH=$CONDA_PREFIX/lib/ node tests/runTorch.js':
(base) newhuaweiapstudent-10-59-130-32:torch-js DonovanMarsden$ DYLD_LIBRARY_PATH=$CONDA_PREFIX/lib/ node tests/runTorch.js
libc++abi.dylib: terminating with uncaught exception of type c10::Error: memcmp("PYTORCH1", buf, kMagicValueLength) != 0 ASSERT FAILED at ../caffe2/serialize/inline_container.cc:86, please report a bug to PyTorch. File is an unsupported archive format from the preview release. (init at ../caffe2/serialize/inline_container.cc:86)
frame #0: c10::Error::Error(c10::SourceLocation, std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator > const&) + 135 (0x102d49007 in libc10.dylib)
frame #1: caffe2::serialize::PyTorchStreamReader::init() + 2404 (0x107d393c4 in libcaffe2.dylib)
frame #2: caffe2::serialize::PyTorchStreamReader::PyTorchStreamReader(std::__1::unique_ptr<caffe2::serialize::ReadAdapterInterface, std::__1::default_deletecaffe2::serialize::ReadAdapterInterface >) + 109 (0x107d3993d in libcaffe2.dylib)
frame #3: torch::jit::load(std::__1::unique_ptr<caffe2::serialize::ReadAdapterInterface, std::__1::default_deletecaffe2::serialize::ReadAdapterInterface >, c10::optionalc10::Device, std::__1::unordered_map<std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator >, std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator >, std::__1::hash<std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator > >, std::__1::equal_to<std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator > >, std::__1::allocator<std::__1::pair<std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator > const, std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator > > > >&) + 658 (0x105a11252 in libtorch.1.dylib)
frame #4: torch::jit::load(std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator > const&, c10::optionalc10::Device, std::__1::unordered_map<std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator >, std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator >, std::__1::hash<std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator > >, std::__1::equal_to<std::__1::basic_string<char, std::__1::char_traits, std::__1::allocator > >, std::__1::allocator<std::__1::pair<std::__1::basic_string<char, std::__1::char_traits, std::1::allocator > const, std::1::basic_string<char, std::1::char_traits, std::1::allocator > > > >&) + 103 (0x105a11457 in libtorch.1.dylib)
frame #5: torchjs::ScriptModule::ScriptModule(Napi::CallbackInfo const&) + 275 (0x102d07993 in torch-js.node)
frame #6: Napi::ObjectWraptorchjs::ScriptModule::ConstructorCallbackWrapper(napi_env*, napi_callback_info*)::'lambda'()::operator()() const + 69 (0x102d103c5 in torch-js.node)
frame #7: Napi::ObjectWraptorchjs::ScriptModule::ConstructorCallbackWrapper(napi_env*, napi_callback_info) + 80 (0x102d0ff90 in torch-js.node)
frame #8: (anonymous namespace)::v8impl::FunctionCallbackWrapper::Invoke(v8::FunctionCallbackInfov8::Value const&) + 133 (0x10004506b in node)
frame #9: v8::internal::FunctionCallbackArguments::Call(v8::internal::CallHandlerInfo) + 623 (0x10023663f in node)
frame #10: v8::internal::MaybeHandlev8::internal::Object v8::internal::(anonymous namespace)::HandleApiCallHelper(v8::internal::Isolate*, v8::internal::Handlev8::internal::HeapObject, v8::internal::Handlev8::internal::HeapObject, v8::internal::Handlev8::internal::FunctionTemplateInfo, v8::internal::Handlev8::internal::Object, v8::internal::BuiltinArguments) + 427 (0x1002357db in node)
frame #11: v8::internal::Builtin_Impl_HandleApiCall(v8::internal::BuiltinArguments, v8::internal::Isolate*) + 247 (0x1002351f7 in node)
frame #12: 0x0 + 48852611481149 (0x2c6e628dbe3d in ???)
Any help would be greatly appreciated.
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