message: Improving logging of tensors being quantized.
diff: @@ -222,7 +222,8 @@ TfLiteStatus AsymmetricQuantizeTensor(ModelT* model, TensorT* tensor) {
  BufferT* buffer = model->buffers[tensor->buffer].get();
  float* float_data = reinterpret_cast<float*>(buffer->data.data());
  const uint64_t num_elements = NumElements(tensor);
  - LOG(INFO) << "Quantizing tensor with " << num_elements << " elements.";
  + LOG(INFO) << "Quantizing tensor " << tensor->name << " with " << num_elements
  + << " elements for float evaluation.";
  // Compute the quantization params.
  float min_value = *std::min_element(float_data, float_data + num_elements);
  @@ -265,7 +266,8 @@ TfLiteStatus SymmetricQuantizeTensor(ModelT* model, TensorT* tensor) {
  BufferT* buffer = model->buffers[tensor->buffer].get();
  float* float_data = reinterpret_cast<float*>(buffer->data.data());
  const uint64_t num_elements = NumElements(tensor);
  - LOG(INFO) << "Quantizing tensor with " << num_elements << " elements.";
  + LOG(INFO) << "Quantizing tensor " << tensor->name << " with " << num_elements
  + << " elements for hybrid evaluation.";
  std::vector<int8_t> quantized_buffer;
  quantized_buffer.resize(num_elements);
  