Oct 22, 2019 · FLOPs are often used to describe how many operations are required to run a single instance of a given model, like VGG19. This is the usage of FLOPs in both of the links you posted, though unfortunately the opengenus link incorrectly mistakenly uses 'Floating point operations per second' to refer to FLOPs.

FLOPs have become very cheap — any modern Intel core can perform about two FLOPs per cycle (although division remains relatively expensive) — and memory accesses and branches are comparatively much more expensive: a L1 cache hit costs maybe 3 or 4 cycles, a fetch from main memory costs 150–200.

Sep 10, 2018 · With this and FLOPs/cycle you can more or less calculate the theoretical peak performance. But, FLOPs are to be taken with a grain of salt, as they can only be used to approximately estimate the speed of your code because they fail to take into account other conditions your processor operates under.

Sep 25, 2021 · FLOPS are just not a terribly interesting metric for most use cases. Both parts of the metric, actually: the FLO part (floating-point) and the PS part (time). If you are building a supercomputer for military applications, then yes, FLOPS is interesting to you.

Mar 16, 2011 · most compilers would probably only push a and b into registers once. this leaves the addition operation which stores result into another register, so the exact total is probably 102 FLOPS. then again, compilers might optimize away this entire loop and just leave you with 2 floating-point stores. –

Nov 17, 2020 · This Wiki page says that Kaby Lake CPUs compute 32 FLOPS (single precision FP32) and Pascal cards compute 2 FLOPS (single precision FP32), which means we can compute their total FLOPS performance using the following formulas: CPU: TOTAL_FLOPS = 2.8 GHz * 4 cores * 32 FLOPS = 358 GFLOPS GPU: TOTAL_FLOPS = 1.3 GHz * 768 cores * 2 …

Apr 24, 2019 · This operation has 4 flops. The FLOPs measurement in CNNs involves knowing the size of the input tensor, filters and output tensor for each layer. Using this information, flops are calculated for each layer and added together to obtain the total flops.

Oct 20, 2020 · No positional inputs found for a module, assuming batch size is 1.') module.__batch_counter__ += batch_size def rnn_flops(flops, rnn_module, w_ih, w_hh, input_size): # matrix matrix mult ih state and internal state flops += w_ih.shape[0]*w_ih.shape[1] # matrix matrix mult hh state and internal state flops += w_hh.shape[0]*w_hh.shape[1] if ...

Oct 14, 2016 · But I counted the flops for a bog-simple non-recursive in-place decimation-in-time radix-2 FFT taken right out of an old ACM algorithms textbook for an FFT of length 1024, and got 20480 fmuls and 30720 fadds (this was using a pre-computed twiddle factor table, thus the transcendental function computations were not included in the flop counts ...

Sep 30, 2012 · What I do if the number of floating point operations is not easily modeled is to produce two executables: One that is the production version and gives me the execution time, and an instrumented one that counts all floating point operations while performing them (surely that will be slow, but that doesn't matter for our purpose).