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authorGravatar Suharsh Sivakumar <suharshs@google.com>2018-08-31 16:15:25 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-08-31 16:20:27 -0700
commit87562600ab6eb666af165d48f42f5a4c1c6c8831 (patch)
tree066f264d4815f3294476e5b429ed984a5af612ca
parent0fffc1bde7f85c3c5b985bf30500c53ace6c81eb (diff)
Improving logging of tensors being quantized.
PiperOrigin-RevId: 211160708
-rw-r--r--tensorflow/contrib/lite/tools/optimize/quantize_weights.cc6
1 files changed, 4 insertions, 2 deletions
diff --git a/tensorflow/contrib/lite/tools/optimize/quantize_weights.cc b/tensorflow/contrib/lite/tools/optimize/quantize_weights.cc
index df8433dd9b..e0ed7c7946 100644
--- a/tensorflow/contrib/lite/tools/optimize/quantize_weights.cc
+++ b/tensorflow/contrib/lite/tools/optimize/quantize_weights.cc
@@ -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);