| 17 | } |
| 18 | |
| 19 | const float* Features::computeFeatures(float* inAudio, size_t inNumSamples, size_t& outNumFrames) |
| 20 | { |
| 21 | mInputShape[0] = 1; |
| 22 | mInputShape[1] = static_cast<int64_t>(inNumSamples); |
| 23 | mInputShape[2] = 1; |
| 24 | |
| 25 | mInput.clear(); |
| 26 | mInput.push_back( |
| 27 | Ort::Value::CreateTensor<float>(mMemoryInfo, inAudio, inNumSamples, mInputShape.data(), mInputShape.size())); |
| 28 | |
| 29 | mOutput = mSession.Run(mRunOptions, mInputNames, mInput.data(), 1, mOutputNames, 1); |
| 30 | |
| 31 | auto out_shape = mOutput[0].GetTensorTypeAndShapeInfo().GetShape(); |
| 32 | assert(out_shape[0] == 1 && out_shape[2] == NUM_FREQ_IN && out_shape[3] == NUM_HARMONICS); |
| 33 | |
| 34 | outNumFrames = static_cast<size_t>(out_shape[1]); |
| 35 | |
| 36 | mInput.clear(); |
| 37 | |
| 38 | return mOutput[0].GetTensorData<float>(); |
| 39 | } |