Recent content by AIISP

Thanks~ @Andrey Ignatov It could be work only with TF-nightly, but I have some question for you. 1. Do we need to use the same tf version to generate the "model.tflite" and "model_none.tflite" ? (The requirement of MTK Dimensity 1000+ APU is Tensorflow 1.15.0) 2. Do we need to submit the...

Hi @Andrey Ignatov The conversion gives this kind of error with TF1.15, even I set the experimental_new_converter=True. "ValueError: None is only supported in the 1st dimension. Tensor 'Placeholder' has invalid shape '[1, None, None, 4]'." It could be work with TF2.3, but the tflite with...

Thanks for your reply, please let me reconfirm it. We can use the dummy data(random noise) to quantize the "[1, 1088, 1920, 3]" tflite file. Because it just for the latency measurement, but didn't consider image quality(PSNR measurement). Thanks

Now, I just use the dummy data(random noist) to measure the latency on [1, 1088, 1920, 3] tflite file. But! Regarding your questions, maybe I am thinking too complicated. If want to quantize the model, i just need to use the dummy data to quantize the "[1, 1088, 1920, 3]" tflite file. And...

Hi, let me make sure I have it right. We need generate the "two" tflie file(output size are [1, 256, 265, 3] and [1, 1088, 1920, 3]) base on the same ckpt file, and than use '[1, 256, 265, 3]' tflite to generate the 256x256 RGB image. Finally summit the RGB image and [1, 1088, 1920, 3] tflite...

Hi, @Andrey Ignatov The PSNR is based on submit PNG image. Does we need to generate those PNG image based on TFlite file(if quantize to FP16 or UINT8)?

Hi @sayak There exists a message when dump the valid image. "Lossy conversion from float32 to uint8. Range [-0.028580307960510254, 0.9456811547279358]. Convert image to uint8 prior to saving to suppress this warning" Does it use the fp range [-0.028580307960510254~0.9456811547279358] mapping to...