Crash in TensorrtExecutionProvider when TensorRT EP fails to create engine from network

### Describe the issue

When the TensorRT EP fails to create engine from network and the client calls run() again in the same session, the following crash occurs:

`#0 0x00007efc5442df84 in nvinfer1::ICudaEngine::getNbIOTensors() const (this=0x0) at tensort/include/NvInferRuntime.h:2160
#1 0x00007efc54451cf8 in onnxruntime::TensorrtExecutionProvider::::operator()(onnxruntime::FunctionState, const OrtApi *, OrtKernelContext *) const (__closure=0x7efbfb1d8098, state=0x7efbfc81bf80, api=
0x7f02b6d0b2e0 , context=0x7fff94d9ce50) at onnxruntime-1.18.0/onnxruntime/core/providers/tensorrt/tensorrt_execution_provider.cc:3395
#2 0x00007efc54487e8c in std::_Function_handler, long unsigned int>&, std::unordered_map, long unsigned int>&, std::vector&):: >::_M_invoke(const std::_Any_data &, void *&&, const OrtApi *&&, OrtKernelContext *&&)
(__functor=..., __args#0=@0x7fff94d9cbb8: 0x7efbfc81bf80, __args#1=@0x7fff94d9cbb0: 0x7f02b6d0b2e0 , __args#2=@0x7fff94d9cba8: 0x7fff94d9ce50) at /usr/include/c++/8/bits/std_function.h:283
#3 0x00007f02b59addac in std::function::operator()(void*, OrtApi const*, OrtKernelContext*) const (this=0x7efbfb1d8098, __args#0=0x7efbfc81bf80, __args#1=0x7f02b6d0b2e0 , __args#2=0x7fff94d9ce50)
at /usr/include/c++/8/bits/std_function.h:687
#4 0x00007f02b59a76b9 in onnxruntime::FunctionKernel::Compute(onnxruntime::OpKernelContext*) const (this=0x7efc014e2c00, context=0x7fff94d9ce50) at onnxruntime-1.18.0/onnxruntime/core/framework/func_kernel.h:52
#5 0x00007f02b5ac7d5c in onnxruntime::ExecuteKernel(onnxruntime::StreamExecutionContext&, unsigned long, unsigned long, bool const&, onnxruntime::SessionScope&) (ctx=..., idx=4937, stream_idx=0, terminate_flag=@0x2716f308: false, session_scope=...)
at onnxruntime-1.18.0/onnxruntime/core/framework/sequential_executor.cc:495
#6 0x00007f02b5abef4c in onnxruntime::LaunchKernelStep::Execute(onnxruntime::StreamExecutionContext&, unsigned long, onnxruntime::SessionScope&, bool const&, bool&) (this=0x3587a8e0, ctx=..., stream_idx=0, session_scope=..., terminate_flag=@0x2716f308: false, continue_flag=@0x7fff94d9d51f: true)
at onnxruntime-1.18.0/onnxruntime/core/framework/execution_steps.cc:73
#7 0x00007f02b5acb5a3 in onnxruntime::RunSince(unsigned long, onnxruntime::StreamExecutionContext&, onnxruntime::SessionScope&, bool const&, unsigned long) (stream_idx=0, ctx=..., session_scope=..., terminate_flag=@0x2716f308: false, since=0)
at onnxruntime-1.18.0/onnxruntime/core/framework/stream_execution_context.cc:222
#8 0x00007f02b5ac827b in onnxruntime::::operator()(void) const (__closure=0x7efc017dc3b0) at onnxruntime-1.18.0/onnxruntime/core/framework/sequential_executor.cc:589
#9 0x00007f02b5ac992f in std::_Function_handler, gsl::span, gsl::span, std::vector&, const std::unordered_map >&, const onnxruntime::logging::Logger&, const onnxruntime::DeviceStreamCollection*, bool const&, bool, bool):: >::_M_invoke(const std::_Any_data &) (__functor=...) at /usr/include/c++/8/bits/std_function.h:297
#10 0x00007f02b4e39dac in std::function::operator()() const (this=0x7fff94d9dbf0) at /usr/include/c++/8/bits/std_function.h:687
#11 0x00007f02b4e1ad49 in onnxruntime::concurrency::ThreadPool::Schedule(onnxruntime::concurrency::ThreadPool*, std::function) (tp=0x0, fn=...) at onnxruntime-1.18.0/include/onnxruntime/core/platform/threadpool.h:233
#12 0x00007f02b5ac8608 in onnxruntime::ExecuteThePlan(onnxruntime::SessionState const&, gsl::span, gsl::span, gsl::span, std::vector >&, std::unordered_map, std::hash, std::equal_to, std::allocator > > > const&, onnxruntime::logging::Logger const&, onnxruntime::DeviceStreamCollection const*, bool const&, bool, bool)
(session_state=..., feed_mlvalue_idxs=..., feeds=..., fetch_mlvalue_idxs=..., fetches=std::vector of length 2, capacity 2 = {...}, fetch_allocators=std::unordered_map with 0 elements, logger=..., device_streams=0x1dbb3080, terminate_flag=@0x2716f308: false, only_execute_path_to_fetches=false, single_thread_mode=true) at onnxruntime-1.18.0/onnxruntime/core/framework/sequential_executor.cc:588
#13 0x00007f02b5a68157 in onnxruntime::utils::ExecuteGraphImpl(const onnxruntime::SessionState &, const onnxruntime::FeedsFetchesManager &, gsl::span, std::vector > &, const std::unordered_map, std::hash, std::equal_to, std::allocator > > > &, ExecutionMode, const bool &, const onnxruntime::logging::Logger &, onnxruntime::DeviceStreamCollection *, bool, onnxruntime::Stream *)
(session_state=..., feeds_fetches_manager=..., feeds=..., fetches=std::vector of length 2, capacity 2 = {...}, fetch_allocators=std::unordered_map with 0 elements, execution_mode=ORT_SEQUENTIAL, terminate_flag=@0x2716f308: false, logger=..., device_stream_collection=0x1dbb3080, only_execute_path_to_fetches=false, parent_stream=0x0) at onnxruntime-1.18.0/onnxruntime/core/framework/utils.cc:706
#14 0x00007f02b5a6878e in onnxruntime::utils::ExecuteGraph(onnxruntime::SessionState const&, onnxruntime::FeedsFetchesManager&, gsl::span, std::vector >&, ExecutionMode, bool const&, onnxruntime::logging::Logger const&, onnxruntime::DeviceStreamCollectionHolder&, bool, onnxruntime::Stream*)
(session_state=..., feeds_fetches_manager=..., feeds=..., fetches=std::vector of length 2, capacity 2 = {...}, execution_mode=ORT_SEQUENTIAL, terminate_flag=@0x2716f308: false, logger=..., device_stream_collection_holder=..., only_execute_path_to_fetches=false, parent_stream=0x0)
at onnxruntime-1.18.0/onnxruntime/core/framework/utils.cc:755
#15 0x00007f02b5a68868 in onnxruntime::utils::ExecuteGraph(onnxruntime::SessionState const&, onnxruntime::FeedsFetchesManager&, gsl::span, std::vector >&, ExecutionMode, OrtRunOptions const&, onnxruntime::DeviceStreamCollectionHolder&, onnxruntime::logging::Logger const&) (session_state=..., feeds_fetches_manager=..., feeds=..., fetches=std::vector of length 2, capacity 2 = {...}, execution_mode=ORT_SEQUENTIAL, run_options=..., device_stream_collection_holder=..., logger=...)
at onnxruntime-1.18.0/onnxruntime/core/framework/utils.cc:782
#16 0x00007f02b4e33fd5 in onnxruntime::InferenceSession::Run(OrtRunOptions const&, gsl::span, std::allocator > const, 18446744073709551615ul>, gsl::span, gsl::span, std::allocator > const, 18446744073709551615ul>, std::vector >*, std::vector > const*)
(this=0x23f71cf0, run_options=..., feed_names=..., feeds=..., output_names=..., p_fetches=0x7fff94d9f1f0, p_fetches_device_info=0x0) at onnxruntime-1.18.0/onnxruntime/core/session/inference_session.cc:2531
#17 0x00007f02b4e351bc in onnxruntime::InferenceSession::Run(OrtRunOptions const&, gsl::span, gsl::span, gsl::span, gsl::span)
(this=0x23f71cf0, run_options=..., feed_names=..., feeds=..., fetch_names=..., fetches=...) at onnxruntime-1.18.0/onnxruntime/core/session/inference_session.cc:2659
#18 0x00007f02b4d42116 in OrtApis::Run(OrtSession*, OrtRunOptions const*, char const* const*, OrtValue const* const*, unsigned long, char const* const*, unsigned long, OrtValue**)
(sess=0x23f71cf0, run_options=0x2716f2e0, input_names=0x1b75aff0, input=0x7efc5550bba0, input_len=2, output_names=0x1dea9570, output_names_len=2, output=0x7efbf802c200) at onnxruntime-1.18.0/onnxruntime/core/session/onnxruntime_c_api.cc:831`

### To reproduce

Run inference on a model that is too large to be cached (or force return of the following error "TensorRT EP failed to create engine from network." in the TensorRT EP.
Try running the inference again on the same session.
--> crash

### Urgency

_No response_

### Platform

Linux

### OS Version

ROCKY 8.5 (gcc-11.2.1, c++17)

### ONNX Runtime Installation

Built from Source

### ONNX Runtime Version or Commit ID

1.18.0

### ONNX Runtime API

C

### Architecture

X64

### Execution Provider

TensorRT

### Execution Provider Library Version

CUDA 11.8