UniformQuantLearner don't exec

[as754770178]

INFO:tensorflow:learner model name: resnet_v1_18, run_mode: TRAIN, num_classes: 5, weight_decay: 0, data_format: NHWC, image_size: 224 
Quantized: model/resnet_v1_18/block1/unit_1/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block1/unit_1/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block1/unit_2/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block1/unit_2/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block2/unit_1/residual_unit_v1/shortcut/Conv2D/quantize
Quantized: model/resnet_v1_18/block2/unit_1/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block2/unit_1/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block2/unit_2/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block2/unit_2/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block3/unit_1/residual_unit_v1/shortcut/Conv2D/quantize
Quantized: model/resnet_v1_18/block3/unit_1/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block3/unit_1/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block3/unit_2/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block3/unit_2/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block4/unit_1/residual_unit_v1/shortcut/Conv2D/quantize
Quantized: model/resnet_v1_18/block4/unit_1/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block4/unit_1/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block4/unit_2/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block4/unit_2/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block1/unit_1/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block1/unit_1/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block1/unit_2/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block1/unit_2/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block2/unit_1/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block2/unit_1/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block2/unit_2/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block2/unit_2/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block3/unit_1/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block3/unit_1/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block3/unit_2/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block3/unit_2/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block4/unit_1/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block4/unit_1/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block4/unit_2/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block4/unit_2/residual_unit_v1/Relu/quantize
INFO:tensorflow:learner model name: resnet_v1_18, run_mode: EVAL, num_classes: 5, weight_decay: 0, data_format: NHWC, image_size: 224 
Quantized: model/resnet_v1_18/block1/unit_1/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block1/unit_1/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block1/unit_2/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block1/unit_2/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block2/unit_1/residual_unit_v1/shortcut/Conv2D/quantize
Quantized: model/resnet_v1_18/block2/unit_1/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block2/unit_1/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block2/unit_2/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block2/unit_2/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block3/unit_1/residual_unit_v1/shortcut/Conv2D/quantize
Quantized: model/resnet_v1_18/block3/unit_1/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block3/unit_1/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block3/unit_2/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block3/unit_2/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block4/unit_1/residual_unit_v1/shortcut/Conv2D/quantize
Quantized: model/resnet_v1_18/block4/unit_1/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block4/unit_1/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/block4/unit_2/residual_unit_v1/conv1/Conv2D/quantize
Quantized: model/resnet_v1_18/block4/unit_2/residual_unit_v1/conv2/Conv2D/quantize
Quantized: model/resnet_v1_18/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block1/unit_1/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block1/unit_1/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block1/unit_2/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block1/unit_2/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block2/unit_1/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block2/unit_1/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block2/unit_2/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block2/unit_2/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block3/unit_1/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block3/unit_1/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block3/unit_2/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block3/unit_2/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block4/unit_1/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block4/unit_1/residual_unit_v1/Relu/quantize
Quantized: model/resnet_v1_18/block4/unit_2/residual_unit_v1/conv1/Relu/quantize
Quantized: model/resnet_v1_18/block4/unit_2/residual_unit_v1/Relu/quantize

I use UniformQuantLearner on resnet_v1_18.

1. I waited for hours, but the log content no longer changed.
2. I want to know where print the log Quantized: model/resnet_v1_18/xxx/xxx/quantize

[jiaxiang-wu]

@haolibai Could you please take a look at this?