How to prefetch data using a custom python function in tensorflow

This is a common use case, and most implementations use TensorFlow’s queues to decouple the preprocessing code from the training code. There is a tutorial on how to use queues, but the main steps are as follows: Define a queue, q, that will buffer the preprocessed data. TensorFlow supports the simple tf.FIFOQueue that produces elements … Read more

Why does Monitor.PulseAll result in a “stepping stair” latency pattern in signaled threads?

One difference between these version is that in PulseAll case – the threads immediately repeat the loop, locking the object again. You have 12 cores, so 12 threads are running, execute the loop, and enter the loop again, locking the object (one after another) and then entering wait state. All that time the other threads … Read more

fastest (low latency) method for Inter Process Communication between Java and C/C++

Just tested latency from Java on my Corei5 2.8GHz, only single byte send/received, 2 Java processes just spawned, without assigning specific CPU cores with taskset: TCP – 25 microseconds Named pipes – 15 microseconds Now explicitly specifying core masks, like taskset 1 java Srv or taskset 2 java Cli: TCP, same cores: 30 microseconds TCP, … Read more

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