I have executed both models, resnet18, resnet34, but it keeps giving me the same warning messages.

The command used for resnet18:

```
./tao-converter -k tlt_encode
-d 3,544,960
-o output_bbox/BiasAdd,output_cov/Sigmoid
-e /home/models/resnet18_peoplenet.engine
-t int8
-c /home/models/resnet18_peoplenet_int8_dla.txt
-u 0
/home/models/resnet18_peoplenet_pruned.etlt
```

The output of resnet18:

```
[INFO] [MemUsageChange] Init CUDA: CPU +353, GPU +0, now: CPU 371, GPU 5474 (MiB)
[WARNING] Default DLA is enabled but layer output_bbox/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer conv1/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer conv1/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer bn_conv1/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer bn_conv1/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer bn_conv1/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer bn_conv1/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer bn_conv1/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer bn_conv1/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer bn_conv1/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer bn_conv1/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer bn_conv1/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_conv_1/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_conv_1/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_1/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_1/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_1/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_1/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_1/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_1/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_1/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_1/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_1/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_conv_2/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_conv_2/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_2/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_2/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_2/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_2/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_2/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_2/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_2/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_2/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_2/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_conv_shortcut/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_conv_shortcut/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_shortcut/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_shortcut/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_shortcut/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_shortcut/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_shortcut/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_shortcut/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_shortcut/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_shortcut/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1a_bn_shortcut/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_conv_1/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_conv_1/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_1/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_1/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_1/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_1/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_1/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_1/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_1/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_1/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_1/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_conv_2/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_conv_2/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_2/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_2/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_2/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_2/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_2/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_2/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_2/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_2/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_2/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_conv_shortcut/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_conv_shortcut/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_shortcut/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_shortcut/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_shortcut/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_shortcut/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_shortcut/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_shortcut/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_shortcut/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_shortcut/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_1b_bn_shortcut/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_conv_1/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_conv_1/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_1/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_1/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_1/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_1/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_1/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_1/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_1/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_1/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_1/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_conv_2/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_conv_2/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_2/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_2/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_2/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_2/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_2/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_2/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_2/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_2/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_2/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_conv_shortcut/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_conv_shortcut/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_shortcut/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_shortcut/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_shortcut/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_shortcut/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_shortcut/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_shortcut/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_shortcut/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_shortcut/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2a_bn_shortcut/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_conv_1/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_conv_1/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_1/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_1/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_1/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_1/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_1/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_1/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_1/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_1/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_1/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_conv_2/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_conv_2/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_2/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_2/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_2/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_2/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_2/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_2/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_2/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_2/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_2/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_conv_shortcut/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_conv_shortcut/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_shortcut/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_shortcut/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_shortcut/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_shortcut/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_shortcut/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_shortcut/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_shortcut/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_shortcut/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_2b_bn_shortcut/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_conv_1/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_conv_1/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_1/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_1/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_1/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_1/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_1/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_1/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_1/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_1/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_1/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_conv_2/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_conv_2/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_2/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_2/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_2/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_2/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_2/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_2/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_2/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_2/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_2/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_conv_shortcut/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_conv_shortcut/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_shortcut/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_shortcut/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_shortcut/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_shortcut/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_shortcut/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_shortcut/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_shortcut/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_shortcut/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3a_bn_shortcut/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_conv_1/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_conv_1/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_1/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_1/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_1/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_1/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_1/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_1/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_1/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_1/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_1/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_conv_2/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_conv_2/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_2/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_2/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_2/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_2/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_2/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_2/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_2/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_2/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_2/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_conv_shortcut/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_conv_shortcut/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_shortcut/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_shortcut/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_shortcut/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_shortcut/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_shortcut/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_shortcut/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_shortcut/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_shortcut/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_3b_bn_shortcut/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_conv_1/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_conv_1/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_1/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_1/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_1/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_1/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_1/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_1/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_1/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_1/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_1/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_conv_2/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_conv_2/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_2/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_2/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_2/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_2/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_2/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_2/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_2/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_2/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_2/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_conv_shortcut/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_conv_shortcut/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_shortcut/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_shortcut/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_shortcut/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_shortcut/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_shortcut/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_shortcut/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_shortcut/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_shortcut/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4a_bn_shortcut/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_conv_1/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_conv_1/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_1/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_1/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_1/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_1/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_1/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_1/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_1/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_1/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_1/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_conv_2/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_conv_2/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_2/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_2/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_2/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_2/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_2/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_2/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_2/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_2/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_2/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_conv_shortcut/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_conv_shortcut/bias is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_shortcut/moving_variance is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_shortcut/Reshape_1/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_shortcut/batchnorm/add/y is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_shortcut/gamma is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_shortcut/Reshape_3/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_shortcut/beta is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_shortcut/Reshape_2/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_shortcut/moving_mean is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer block_4b_bn_shortcut/Reshape/shape is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer output_bbox/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer output_cov/kernel is not supported on DLA, falling back to GPU.
[WARNING] Default DLA is enabled but layer output_cov/bias is not supported on DLA, falling back to GPU.
[INFO] [MemUsageSnapshot] Builder begin: CPU 394 MiB, GPU 5508 MiB
[INFO] Reading Calibration Cache for calibrator: EntropyCalibration2
[INFO] Generated calibration scales using calibration cache. Make sure that calibration cache has latest scales.
[INFO] To regenerate calibration cache, please delete the existing one. TensorRT will generate a new calibration cache.
[WARNING] Missing scale and zero-point for tensor output_bbox/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor conv1/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor conv1/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor bn_conv1/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor bn_conv1/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor bn_conv1/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor bn_conv1/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor bn_conv1/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor bn_conv1/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor bn_conv1/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor bn_conv1/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor bn_conv1/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_conv_1/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_conv_1/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_1/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_1/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_1/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_1/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_1/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_1/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_1/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_1/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_1/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_conv_2/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_conv_2/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_2/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_2/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_2/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_2/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_2/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_2/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_2/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_2/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_2/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_conv_shortcut/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_conv_shortcut/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_shortcut/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_shortcut/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_shortcut/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_shortcut/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_shortcut/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_shortcut/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_shortcut/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_shortcut/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1a_bn_shortcut/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_conv_1/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_conv_1/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_1/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_1/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_1/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_1/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_1/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_1/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_1/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_1/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_1/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_conv_2/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_conv_2/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_2/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_2/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_2/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_2/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_2/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_2/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_2/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_2/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_2/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_conv_shortcut/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_conv_shortcut/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_shortcut/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_shortcut/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_shortcut/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_shortcut/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_shortcut/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_shortcut/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_shortcut/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_shortcut/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_1b_bn_shortcut/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_conv_1/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_conv_1/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_1/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_1/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_1/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_1/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_1/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_1/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_1/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_1/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_1/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_conv_2/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_conv_2/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_2/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_2/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_2/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_2/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_2/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_2/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_2/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_2/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_2/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_conv_shortcut/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_conv_shortcut/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_shortcut/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_shortcut/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_shortcut/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_shortcut/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_shortcut/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_shortcut/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_shortcut/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_shortcut/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2a_bn_shortcut/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_conv_1/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_conv_1/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_1/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_1/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_1/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_1/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_1/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_1/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_1/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_1/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_1/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_conv_2/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_conv_2/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_2/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_2/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_2/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_2/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_2/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_2/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_2/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_2/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_2/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_conv_shortcut/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_conv_shortcut/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_shortcut/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_shortcut/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_shortcut/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_shortcut/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_shortcut/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_shortcut/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_shortcut/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_shortcut/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_2b_bn_shortcut/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_conv_1/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_conv_1/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_1/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_1/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_1/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_1/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_1/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_1/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_1/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_1/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_1/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_conv_2/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_conv_2/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_2/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_2/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_2/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_2/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_2/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_2/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_2/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_2/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_2/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_conv_shortcut/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_conv_shortcut/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_shortcut/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_shortcut/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_shortcut/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_shortcut/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_shortcut/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_shortcut/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_shortcut/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_shortcut/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3a_bn_shortcut/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_conv_1/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_conv_1/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_1/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_1/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_1/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_1/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_1/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_1/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_1/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_1/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_1/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_conv_2/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_conv_2/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_2/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_2/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_2/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_2/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_2/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_2/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_2/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_2/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_2/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_conv_shortcut/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_conv_shortcut/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_shortcut/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_shortcut/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_shortcut/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_shortcut/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_shortcut/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_shortcut/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_shortcut/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_shortcut/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_3b_bn_shortcut/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_conv_1/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_conv_1/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_1/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_1/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_1/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_1/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_1/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_1/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_1/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_1/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_1/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_conv_2/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_conv_2/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_2/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_2/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_2/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_2/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_2/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_2/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_2/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_2/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_2/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_conv_shortcut/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_conv_shortcut/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_shortcut/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_shortcut/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_shortcut/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_shortcut/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_shortcut/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_shortcut/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_shortcut/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_shortcut/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4a_bn_shortcut/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_conv_1/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_conv_1/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_1/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_1/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_1/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_1/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_1/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_1/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_1/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_1/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_1/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_conv_2/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_conv_2/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_2/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_2/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_2/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_2/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_2/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_2/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_2/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_2/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_2/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_conv_shortcut/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_conv_shortcut/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_shortcut/moving_variance, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_shortcut/Reshape_1/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_shortcut/batchnorm/add/y, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_shortcut/gamma, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_shortcut/Reshape_3/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_shortcut/beta, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_shortcut/Reshape_2/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_shortcut/moving_mean, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor block_4b_bn_shortcut/Reshape/shape, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor output_bbox/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor output_cov/kernel, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[WARNING] Missing scale and zero-point for tensor output_cov/bias, expect fall back to non-int8 implementation for any layer consuming or producing given tensor
[INFO] ---------- Layers Running on DLA ----------
[INFO] [DlaLayer] {ForeignNode[conv1/convolution...output_cov/Sigmoid]}
[INFO] ---------- Layers Running on GPU ----------
[INFO] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +226, GPU +172, now: CPU 633, GPU 5743 (MiB)
[INFO] [MemUsageChange] Init cuDNN: CPU +307, GPU +308, now: CPU 940, GPU 6051 (MiB)
[WARNING] Detected invalid timing cache, setup a local cache instead
[INFO] Detected 1 inputs and 2 output network tensors.
[INFO] Total Host Persistent Memory: 864
[INFO] Total Device Persistent Memory: 0
[INFO] Total Scratch Memory: 0
[INFO] [MemUsageStats] Peak memory usage of TRT CPU/GPU memory allocators: CPU 32 MiB, GPU 354 MiB
[INFO] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +1, GPU +0, now: CPU 987, GPU 6482 (MiB)
[INFO] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 987, GPU 6482 (MiB)
[INFO] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 986, GPU 6482 (MiB)
[INFO] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +0, GPU +0, now: CPU 986, GPU 6467 (MiB)
[INFO] [MemUsageSnapshot] Builder end: CPU 975 MiB, GPU 6467 MiB
```

The command used for resnet34:

```
./tao-converter -k tlt_encode
-d 3,544,960
-o output_bbox/BiasAdd,output_cov/Sigmoid
-e /home/models/resnet34_peoplenet.engine
-t int8
-c /home/models/resnet34_peoplenet_int8_dla.txt
-u 0
/home/models/resnet34_peoplenet_pruned.etlt
```

The output of resnet34 is very similar to the one shown above, the warning messages, and the info about layers is the same.

Thanks you for your time