Recent content by jaeyoon

Actually I'm going to try it But, when it comes to the model for variable size, I cannot assign the pool size in advance. That's why I considered tf.keras.layers.GlobalAveragePooling2D According to the email for final submission, I should submit two tflite model, one for static input size to...

Does not the evaluation server accept global pooling? When I submit the model with global pooling with tf.expand_dims(because there is no argument such as keepdims in tf.keras.layers.GlobalAveragePooling2D) it says it returns segmentation fault WARNING: Your kernel does not support swap limit...

Thanks. It seems that Android 11 beta version was released for the Redmi K30. So, I will upgrade Android version and then try the latest AI Benchmark app. Then will it be same environment with your evaluation server?? And also, my model is stuck in evaluation server, development stage (stuck in...

Thanks for your answer But, when I let experimental_new_converter option to be False, I got core dumped on your submitting server as following: WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap. * daemon not running...

INFO: Init INFO: BuildGraph INFO: AddOpsAndTensors INFO: AddOpsAndTensors done INFO: total_input_byte_size: 8355840 INFO: total_output_byte_size: 25067520 INFO: NeuronModel_identifyInputsAndOutputs INFO: NeuronModel_relaxComputationFloat32toFloat16: 1 INFO: NeuronModel_finish INFO: BuildGraph...

Thanks for your answer I want to clarify my question The intend of the above question, "do you use variable tensors or only one fixed tensor to measure the latency?", was to ask if you measure the latency using only one real data or measure the latency using multiple real data and then average...

Is the input to measure the latency dummy tensor or real raw data like provided training data? And do you use variable tensors or only one fixed tensor to measure the latency??

There is huge latency discrepancy between submission result and the result on my Redmi K30 Ultra. I got 100~130ms on Redmi K30 Ultra using its GPU but the submission server told me the same tflite model took over 500ms. (And it is almost same with the time running on Redmi 30 Ultra CPU) Redmi...