Issue with TensorRT inference run

void FeatureExtraction::doInference_run(float* inputBuffer, float* outputBuffer) {

cudaMemcpyAsync(buffers[inputIndex], inputBuffer, inputStreamSize * sizeof(float), cudaMemcpyHostToDevice, cudaStream);

// Ensure that tensor addresses are set
const char* inputTensorName = engine->getIOTensorName(inputIndex);
const char* outputTensorName = engine->getIOTensorName(outputIndex);

// Set tensor addresses
context->setTensorAddress(inputTensorName, buffers[inputIndex]);
context->setTensorAddress(outputTensorName, buffers[outputIndex]);

// Enqueue the inference
if (!context->enqueueV3(cudaStream)) {
    std::cerr << "Error: Inference run  failed!" << std::endl;
    return;
}
cudaMemcpyAsync(outputBuffer, buffers[outputIndex], outputStreamSize * sizeof(float), cudaMemcpyDeviceToHost, cudaStream);
cudaStreamSynchronize(cudaStream);

}

in this code after preprocessing the buffer data given to cuda for further action, But output Buffer has '0' data . What is the issue.

Start with FeatureExtraction::doInference_run and trace the input and output buffers through cudaMemcpyAsync, tensor address setup, enqueueV3, and cudaStreamSynchronize. Reproduce the inference with the reported code and determine why outputBuffer remains zero; done means the failure is identified and a verified nonzero or otherwise correct output is obtained.