Contributor
Regular ContributorHi,
After you make change on the arch_precision, is the prototxt also updated with the Custom NN?
Are you able to share with the file that you are using for easier debug?
ContributorHello @JohnT_Intel,
The question comes from Intel example. The initial NN TF model is attached in resnet-50-tf.zip file. "resnet-50-tf.xml" is de IR model get with the omz_converter function as it is described in the Intel example and "RN50_Performance_b1.zip" contains the compiled graph for A10_Performance.ach architecture, in which architecture precision parameter is set to FP11. As you can see, input is described as FP32 in IR file whereas after compiling the graph the input precision changes to U8. The .bin file is totaly different if it is compiled for an architecture with architecture precision set to FP11 or FP16 but in .bin file header, input layer is identified as U8.
The question is why the input is set to U8 and how i can be changed to another precision such as FP16/FP32? Is there any architecture parameter to change it?
ContributorHello @JohnT_Intel,
I think I found the solution. Input is detected as FP32 when --use_new_frontend model optimizer option is used. But there are strill some questions without answers. The model is a TensorFlow model,
why the IR is totally different?
Why input precision information is not provided in the input_transform_dump report?
